16results about How to "Improve data stability" patented technology

This invention discloses an adaptive anti-interference display control method for a full LCD instrument panel in a bus, relating to the field of automotive instrument system technology. The method includes the following steps: collecting the ambient temperature value T and vibration acceleration value A; comprehensively determining the current operating mode based on the temperature value T and vibration acceleration value A; matching and executing the corresponding display control strategy according to the determined operating mode; and adjusting the operating mode determination strategy in real time to form a closed-loop adaptive control. The control method provided by this invention uses temperature and vibration dual-parameter linkage as its core framework, integrating two key measures: high-temperature low-power consumption and heat dissipation linkage, and strong vibration data latching. This achieves adaptive anti-interference display control of the full LCD instrument panel in a bus under complex and harsh operating conditions, significantly improving display quality, data stability, and system reliability. It effectively overcomes the shortcomings of existing technologies and fills the gap in dedicated temperature and vibration linkage control schemes for buses.

The application discloses a small-turning-radius open TBM tunneling machine and method, and relates to the technical field of TBM tunneling machines.The tunneling machine comprises a pushing oil cylinder, a load detection mechanism corresponding to the oil cylinder, a single-cylinder independent speed regulation mechanism, and a control mechanism with a controller.The load detection mechanism obtains the real-time load and stroke of the corresponding oil cylinder, and the speed regulation mechanism independently adjusts the speed and stroke of the corresponding oil cylinder.The controller receives the load, stroke and host posture data, combines preset tunnel design parameters, and solves the optimal dynamic stroke difference in real time, and then controls each speed regulation mechanism to independently control each oil cylinder in a closed loop, forming a complete closed loop of "perception - decision - execution - feedback".The application realizes real-time coupling and matching of the dynamic change of the surrounding rock load and the stroke difference of the oil cylinder, ensures that the host tunneling direction is always along the design axis, and greatly improves the tunneling stability and posture control precision under the small-turning-radius variable-gradient working condition.

The invention relates to a WEEE recycling supply chain inventory optimization method based on evolutionary reinforcement learning, and belongs to the technical field of supply chain management and artificial intelligence. According to the method, a multi-level inventory cooperative control model is constructed, an inventory optimization problem is modeled as a Markov decision process, and an evolution reinforcement learning algorithm is utilized to train an intelligent agent to learn an optimal strategy. Core innovations include design state space capture inventory dynamics, action space processing continuation to discrete decision mapping, and cost-based minimization of reward functions. According to the algorithm, a population evolution mechanism and experience playback optimization are fused, and the learning efficiency and stability are improved through parallel exploration and sample screening. According to the method, the uncertainty of the recovery amount and demand can be effectively dealt with, the inventory cost is reduced, the supply chain robustness and sustainability are enhanced, and a self-adaptive intelligent solution is provided for WEEE management.

The application discloses a kind of applied to pork slaughter flow line dynamic track scale weighing data processing method.The method includes: obtaining original weight time series data stream in carcass conveying process and pork shaking visual data, and the weight data interference mask containing mechanical vibration and shaking interference is constructed by collaborative analysis;Original data stream is carried out adaptive frequency domain trap wave filtering and time series alignment correction based on the mask, and the candidate weight data stream after disturbance is removed is obtained;Combining visual data calculates the stability index of conveying process, and according to this, candidate data stream is carried out sliding window clustering analysis, and high confidence weighing data envelope interval is identified;Finally, according to the interval, the carcass weighing data is determined.The application effectively improves the weighing accuracy and data stability of dynamic track scale in high-speed flow line environment by fusing visual and weight data to collaboratively suppress composite interference.

The invention discloses a double-front-axle steering point position sensitivity analysis and joint optimization method and system, and relates to the technical field of steering point position optimization. Comprising the following steps: S1, acquiring data of each corner, and preprocessing the data; s2, performing frequency domain analysis on the turning angle of the front axle steering drop arm, judging the non-constant-speed disturbance intensity of a universal joint, and analyzing and removing a periodic disturbance component in the turning angle of a wheel to obtain a turning angle trend of the wheel; s3, an ideal steering relation is established, the deviation between the wheel steering angle trend and the ideal steering relation is evaluated, and the steering geometric error degree is recognized; carrying out single-axis step length adjustment on the coordinates of the key structure points, and analyzing and screening out optimized candidate positions; and S4, constructing a joint optimization target, and performing iterative updating in combination with the non-constant-speed disturbance intensity of the universal joint to obtain optimized key structure point coordinates. The problem that structure point position adjustment is misjudged due to the fact that universal joint non-constant-speed disturbance and steering geometric deviation are difficult to distinguish in the point position optimization process of the double-front-axle steering system is solved.

This invention provides a protective mobile unmanned surface vessel (USV) hyperspectral system for shallow sea pollution observation, belonging to the field of marine environmental monitoring technology. It includes an USV hull, hyperspectral observation equipment, a water sampling and detection device, and a controller. By installing a cabin and a hinged door on the USV hull, and housing the height-adjustable hyperspectral observation equipment, the system effectively protects the equipment when observation is needed. The door opens to extend the equipment from the cabin, and retracts it when observation is not required, then closes the door. The water sampling and detection device allows for timely and rapid sampling of polluted water, analysis of the samples, and output of results. This invention integrates hyperspectral observation and water sampling and detection, effectively protecting the hyperspectral observation equipment while simultaneously enabling sampling of polluted water, thus improving the effectiveness of pollution evidence collection.

The invention relates to the technical field of biomedical engineering, and discloses an electromyographic signal simulation display method and system, and the method comprises the steps: carrying out the channel analysis and synchronous verification of a mixed signal sequence, and constructing a shunt signal which retains the time sequence correlation; extracting envelope features of the signals and performing trend fitting correction to generate initial intensity distribution; constructing an interference distribution diagram based on cross-correlation analysis, and determining an intensity correction value by using adaptive filtering and residual analysis; carrying out reverse reconstruction on the signal in combination with a tissue impedance model, and restoring real muscle activity distribution; and finally, mapping the distribution data to a visual model, and generating a muscle activity image through interpolation and sharpening processing. According to the method, the problem of low visual image accuracy in the prior art can be solved.

The application relates to the field of satellite positioning technology and discloses a power transmission line monitoring point accurate positioning method and device based on Beidou positioning, which comprises the following steps: collecting original satellite observation data of a monitoring point through a Beidou positioning terminal, completing quality screening according to a carrier-to-noise ratio and a multipath error to obtain first positioning observation data; carrying out collaborative filtering combined with reference data of a preset Beidou reference station along a power transmission line to obtain second positioning observation data; determining an initial positioning coordinate according to the second positioning observation data and an accurate coordinate of the reference station; performing three-dimensional reconstruction on design drawing data and tower structure parameters of the power transmission line to obtain a three-dimensional space data model; and performing space positioning correction on the initial positioning coordinate and accurate space coordinates and structure parameters of the tower in the three-dimensional space data model to obtain a target accurate positioning coordinate; and the application can improve the efficiency of the power transmission line monitoring point accurate positioning based on Beidou positioning.

The present application relates to a method for constructing a liver organoid based on human IPSC and its application in drug hepatotoxicity evaluation. Specifically, the present application relates to a method for inducing and differentiating iPSC in vitro to form a liver organoid, a liver organoid derived from iPSC cells and the application of the organoid in drug hepatotoxicity evaluation.

The present application relates to the technical field of device testing method, and particularly relates to a kind of integrated vacuum pump testing method, comprising the following steps: establishing adsorption saturation state in closed test cavity, including filling mixed gas into test cavity, gradually reducing the temperature of cavity wall of test cavity, so that gas molecules are adsorbed on the inner wall of cavity;Apply sudden load to the vacuum pump to be tested, including starting the vacuum pump while triggering the infrared heating module, so that the temperature of the cavity wall of the test cavity rises to a predetermined temperature at a predetermined heating rate;Collect desorption dynamic parameters to generate desorption characteristic values, including real-time monitoring of gas release during the desorption process, combining desorption time constant and average vacuum, to calculate the release rate of adsorbed gas.The present application improves the accuracy and repeatability of evaluating the weak gas handling performance of the vacuum pump, and is suitable for quality detection and dynamic performance comparison analysis of high-sensitivity vacuum devices.

This invention discloses a method and system for joint prediction of meteorological, wind, solar, and energy storage power based on ultra-long context, belonging to the field of power system prediction technology. The method constructs a multi-agent collaborative architecture for data cleaning, time alignment, context generation, and joint prediction, achieving automatic processing and efficient organization of historical data on wind power, solar power, and energy storage. By introducing an ultra-long context input mechanism spanning seasons and years, it overcomes the limitations of traditional model context length, achieving unified modeling and collaborative representation of multi-source data from different frequencies. Based on this, it utilizes a large time-series model to conduct zero-sample joint prediction, and combines physical constraints such as wind power curves, solar irradiance, and energy storage state of charge to construct a wind-solar-storage coupling consistency correction mechanism to optimize the prediction results. This invention effectively improves the multi-source covariate fusion capability and prediction accuracy, possessing good generalization performance and engineering adaptability.

The utility model discloses a die heat treatment surface temperature monitoring device, which relates to the technical field of die processing and comprises a temperature detection module, a mounting base, an elastic heat conduction component, a heat dissipation structure and a protective cover, the elastic heat-conducting parts are arranged on the contact surface of the base in an array, the tail ends of the elastic heat-conducting parts are provided with protruding heat-conducting contacts, and the elastic heat-conducting parts are adaptively attached to the complex curved surface of the mold through elastic force of pressure springs to eliminate probe suspension and ensure continuous and stable temperature detection. The temperature detection module is embedded in the base, the induction end extends to the root of the contact, the surface temperature is directly collected, and heat loss is reduced. The heat dissipation structure rapidly leads out module heat through the array fins, and high-temperature failure of the sensor is avoided. The protection cover is composed of a ceramic heat insulation layer and a metal protection layer, and the protection cover is combined with an annular airflow channel and heat dissipation protrusions to isolate external high temperature and enhance heat dissipation. Through the design of elastic attachment, accurate temperature measurement and efficient heat dissipation, the temperature monitoring accuracy and high-temperature working condition stability in the heat treatment process of the complex mold are improved, and the process quality is guaranteed.

The utility model discloses a portable aquaculture water quality detection box which comprises a detection box body, a microprocessor is integrated in the detection box body, and the microprocessor is connected with a detection module, a digestion module, a display module and a power supply module; the detection module is used for detecting various parameters of water, and the digestion module is used for decomposing complex substances and releasing and detecting target detection objects; the display module is used for displaying detection data, and the power supply module is used for supplying power to the whole detection box; a storage box is arranged at the bottom of one side of the detection box body, and a water taking assembly is arranged in the storage box and used for taking out a water sample from a culture area; an auxiliary moving base is arranged at the rear end of the detection box body, and the auxiliary moving base is detachably connected with the detection box body. The portable aquaculture water quality detection box is small in size, convenient to carry, capable of detecting various water quality parameters at the same time by arranging various sensors, and high in detection precision.

The application discloses a kind of insulin secretion detection method based on trace system continuous stimulation, which includes sequentially in the same microchamber low sugar, high sugar, Exendin-4 and KCl continuous stimulation, collection supernatant, lysis detection total insulin and standardization analysis.The method of the application uses trace system, low sample consumption, continuous sequential stimulation design, significantly reduces sample and reagent consumption, eliminates group difference, improves detection sensitivity and repeatability, especially suitable for limited sample source, higher culture cost or need to carry out high-throughput functional analysis research scene, including stem cell differentiation optimization, drug screening, diabetes mechanism research and islet transplantation quality control etc., with good application prospect and popularization value.The method of the application is also suitable for the insulin secretion of other species primary islets and islet-like cell clusters, and the detection of other endocrine hormones (such as glucagon, somatostatin, etc.).

The utility model relates to a wearable flexible electrocardiogram patch with a wifi communication function, which comprises a main control module, an analog-to-digital converter, an electrocardiogram front-end circuit, a power supply module, a storage module and a six-axis acceleration sensor, and is characterized in that the electrocardiogram front-end circuit is electrically connected with the main control module and the analog-to-digital converter; the electrocardiosignal acquisition module is used for acquiring an analog electrocardiosignal of a wearer according to the control of the main control module and sending the analog electrocardiosignal to the analog-to-digital converter; the analog-to-digital converter is electrically connected with the main control module and is used for converting the analog electrocardiosignal into a digital electrocardiosignal and sending the digital electrocardiosignal to the main control module; the power supply module is electrically connected with the main control module and is used for providing a working power supply for the electrocardiogram patch; the storage module is electrically connected with the main control module and is used for storing data issued by the main control module; the six-axis acceleration sensor is electrically connected with the main control module and used for detecting motion data of the wearer and sending the motion data to the main control module according to control of the main control module.

The application discloses a profile method for measuring residual stress of a TC4 titanium alloy linear friction welding joint, and specifically implements the following steps: step 1: a TC4 titanium alloy welding sample is prepared by using linear friction welding, and welding process parameters are determined; step 2: the welding sample is cut by using a slow wire cutting method; step 3: high-precision three-coordinate measuring instruments are used to obtain profile coordinate data of a cutting surface; step 4: original data are sequentially processed by using Matlab; step 5: a finite element model is established in Abaqus, and node coordinates are extracted in batches by using a Python script; step 6: processed measurement profile data are matched with finite element node coordinates; and step 7: a Z-direction deformation load is automatically applied to the finite element model by using a Python script, constraints are applied, and calculation is submitted, and residual stress is solved by inversion. By means of partition variable step length measurement, standardized data processing and full automation stress inversion, the application significantly improves measurement precision and stability.