12results about How to "Overcome inaccuracies" patented technology

The invention discloses a carrier roller fault diagnosis method based on multi-modal information fusion, and particularly relates to the field of carrier roller fault diagnosis. The method comprises the following steps: collecting various modal signal data of a carrier roller, and preprocessing original one-dimensional signal data; simplifying the one-dimensional time sequence data of each signal by using classification aggregation approximation; converting each signal into a two-dimensional feature image by using a Markov field and synthesizing the two-dimensional feature image into a three-channel image; a carrier roller fault diagnosis model based on a Swin Transform network architecture is established; the Swin Transform network architecture is trained and verified, if the network achieves the optimal effect, the next step is carried out, otherwise, the previous step is returned, and initial parameters are modified to continue training; and inputting the test set into the optimal Swin Transform network architecture to carry out carrier roller fault diagnosis, and finally obtaining a carrier roller fault classification result. According to the technical scheme, the problems that existing carrier roller fault diagnosis is based on single-mode information, and information is insufficient and inaccurate are solved, and a foundation is laid for follow-up control and maintenance implementation.

The invention relates to a dangerous rock mass automatic cutting and accurate model construction method based on point cloud data, and belongs to the field of dangerous rock mass segmentation and three-dimensional model construction. According to the method, the point cloud data obtained by the unmanned aerial vehicle and the inclination angle information of the joint surface are combined, the automatic method capable of achieving accurate segmentation of the joint surface of the dangerous rock mass and generating the accurate model is provided, and the real joint surface in the accurate model of the dangerous rock mass is a curved surface grid. The method aims at improving the modeling efficiency and accuracy of the three-dimensional model of the dangerous rock body, and complexity and errors caused by manual segmentation are avoided; the method can overcome the problem that a dangerous rock body model is inaccurate due to traditional plane structural plane cutting, and the accurate model can make statics analysis and dynamics research on the dangerous rock body more accurate, so that a guarantee is provided for the dangerous rock body to possibly bring human life and property safety risks.

The invention relates to the technical field of power generation equipment data monitoring, in particular to a new energy power generation equipment accurate monitoring and operation data analysis method. Comprising the following steps: data acquisition and storage: deploying sensors at key nodes to acquire data; evaluating a running state, extracting key indexes such as equipment efficiency, energy consumption and environmental adaptability, and quantifying a scoring standard; an evaluation function is constructed, an analytic hierarchy process and an entropy weight method are combined to determine a weight, and a normalized weight value and a comprehensive evaluation value are calculated; carrying out anomaly detection and early warning, defining an early warning level based on the comprehensive evaluation value, and carrying out mean shift detection; early warning operation and emergency response are carried out, a feedback mechanism is established, and emergency measures under different early warning levels are formulated. According to the method, the equipment operation state monitoring accuracy, the data evaluation scientificity and the abnormity processing timeliness and effectiveness are improved, and stable operation and efficient power generation of the new energy power generation equipment are guaranteed.

This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.

The invention provides a weapon station artillery maximum driving speed testing device and testing method. The testing device comprises a testing box and a laser pen. The laser pen is coaxially installed on the muzzle, a power module is arranged in the test box, the high-low maximum driving speed test printed board, the direction maximum driving speed test printed board, the four photosensitive modules and the stopwatch are arranged on the same panel of the test box, and the two photosensitive modules are symmetrically arranged at the upper position, the lower position, the left position and the right position of the panel respectively. And the two laser sensors are respectively used for converting received laser signals into electric signals and transmitting the electric signals to the high-low maximum driving speed test printed board or the azimuth maximum driving speed test printed board during high-low or azimuth operation of the artillery, so as to control the stopwatch to start or stop timing, and display time according to the high-low angle, the azimuth angle and the stopwatch. By adopting the device provided by the invention, the test efficiency is high, the test result is accurate, and the problems of complex test process and large error in the prior art are solved.

The invention discloses an ejection training assessment system and method. The system comprises an ejection training seat, an ejection posture acquisition module, an ejection time acquisition module and a comprehensive evaluation module, and the ejection posture acquisition module and the ejection time acquisition module are both arranged on the ejection training seat and connected with the comprehensive evaluation module; the ejection posture acquisition module is used for acquiring body posture information (including head, back and hip postures and arm activity states) of a target object in an ejection training process, and transmitting the information to the comprehensive evaluation module; the ejection time acquisition module is used for acquiring ejection time information (including ejection reaction time and ejection motion time) of a target object and transmitting the information to the comprehensive evaluation module; and the comprehensive evaluation module determines an ejection training examination result of the target object according to the body posture information and the ejection time information. According to the method and the device, the technical problems that manual evaluation of the ejection training result in the ejection training scene is too subjective and relatively low in credibility are solved.

The present invention relates to the field of plateau internal combustion engine control, and in particular to a method for automatic power correction control of plateau diesel locomotives, which includes the following steps: determining a power correction control limit based on an active power correction control limit and a passive power correction control limit; and automatically correcting the power of a plateau diesel locomotive based on the power correction control limit. The present invention adopts a method of active correction control plus passive correction control, and derives a power correction control limit based on both the active power correction control limit and the passive power correction control limit. The power correction control limit is a calculation result output by the present invention to realize automatic correction of the power of a plateau diesel locomotive. The combined control means of active plus passive correction and the diversity within the active and passive control methods solve the problem of a single control means and a high risk of failure, and can also largely solve some inaccuracies and lags caused by pure passive control.

The application relates to the technical field of gear detection, and provides a high-precision gear visual multi-dimensional detection method and system, which comprises the following steps: acquiring original three-dimensional point cloud data of a gear to be detected, multispectral optical reflection image information of a surface area of the gear to be detected and a standard geometric structure model of the gear to be detected; based on the multispectral optical reflection image information, fitting processing is performed on the original three-dimensional point cloud data and the standard geometric structure model of the gear to be detected, so that intermediate three-dimensional point cloud data of the gear to be detected are obtained; according to infrared reflection image information in the multispectral optical reflection image information, the intermediate three-dimensional point cloud data of the gear teeth of the gear to be detected are corrected, so that target three-dimensional point cloud data of the gear to be detected are obtained; and quality detection is performed on the gear to be detected based on the target three-dimensional point cloud data of the gear to be detected. Through the scheme, the accuracy of gear quality detection can be improved.

The present invention relates to the field of neural network technology, and in particular to a robot posture estimation method and system based on convolutional neural network. The method comprises acquiring industrial robot posture information data; automatically labeling the acquired industrial robot posture information data to obtain a data set; preprocessing the data set; training a convolutional neural network model using the preprocessed data set; and estimating the posture of the robot using the trained convolutional neural network model. The present invention generates a high-precision industrial robot arm posture data set by combining automatic labeling with manual calibration, thereby overcoming the time-consuming and inaccurate manual labeling problems in traditional methods.

The invention belongs to the technical field of marine liquid hydrogen filling, and discloses a hydrogen fuel powered liquid hydrogen filling ship which comprises a ship body and a deck, a liquid hydrogen storage pipe and a gaseous hydrogen storage pipe are arranged at the top of the deck, a first communicating pipe is installed on the surface of the liquid hydrogen storage pipe, and a liquid hydrogen pump is installed through the first communicating pipe; a transfer pipe is installed on one side of the liquid hydrogen pump, a second communicating pipe is installed at the top of the transfer pipe, a third communicating pipe is arranged in the second communicating pipe in a sealed and sleeved mode, and a filling cylinder is fixedly connected to one end of the third communicating pipe; a liquid inlet is formed in the side face of the filling cylinder. According to the device, the content of liquid hydrogen in the fan-shaped cavity is set to be quantitative, and the liquid hydrogen is discharged through the liquid discharging opening and the filling pipe through rotation, so that the accurate liquid hydrogen quantitative filling function is achieved, and the problem that in the prior art, due to compression fatigue possibly generated by a spring, the flow of a filling opening is inaccurate is completely solved.

This invention discloses an active acoustic motion sickness suppression system and method for electric vehicles based on multimodal information fusion. The system includes a signal acquisition module, a data processing and motion sickness level recognition module, an acoustic signal generation module, and an onboard sound device. The signal acquisition module collects vehicle motion parameters and occupant physiological state data. The data processing and motion sickness level recognition module fuses and analyzes the raw EEG signals and vehicle motion parameters, outputting a motion sickness level judgment result. The acoustic signal generation module uses an order synthesis algorithm to enhance the corresponding parameters of specific order harmonics, amplifying the synthesized audio signal as an acoustic intervention signal. The onboard sound device receives the acoustic intervention signal and plays the intervention sound. This invention achieves accurate judgment of motion sickness and can dynamically generate highly correlated acoustic intervention signals based on the unique vehicle motion parameters of electric vehicles, compensating for auditory information gaps and achieving a motion sickness suppression effect.

The application discloses a kind of methods, systems, equipment, medium and program for monitoring patient physiological state data, belong to data processing technical field.Method includes obtaining patient physiological state monitoring data, and identify missing value in patient physiological state monitoring data, obtain missing data;According to the physiological state data of patient and influence relationship, data interpolation is carried out to missing data, and the physiological state monitoring data after interpolation is obtained;According to the physiological state monitoring data after interpolation, the health status of patient is evaluated.The application can provide personalized data interpolation result according to the influence relationship between different physiological state data of patient, improve the accuracy of patient physiological state data.