14results about How to "Optimize data" patented technology

According to the power control method and system based on energy storage unit adjustment priority evaluation, an energy storage unit calibrates the charge state, the battery capacity and the health state of the energy storage unit and feeds back the charge state, the battery capacity and the health state to a battery management system; the battery management system verifies a built-in battery state estimation model of the battery management system by using the calibrated charge state and health state; based on the calibrated charge state and the battery capacity, calibrating the energy state range; calibrating the voltage standard deviation coefficient, the voltage range and the temperature range based on the measurement precision of the sensor; taking the weighted sum of each evaluation index score after calibration of the energy storage unit as a comprehensive evaluation score; determining the adjustment priority of the energy storage unit allowed to be adjusted by using the comprehensive evaluation score and the charge-discharge cycle times of the energy storage unit allowed to be adjusted; and selecting the adjustment-allowed energy storage unit with the highest adjustment priority as an execution unit for responding to the scheduling target power instruction, and ensuring the safe and stable operation of the energy storage system at the same time.

The invention discloses a smart watch health information monitoring and management system based on an AI technology, and relates to the technical field of smart watch health information monitoring, and the system comprises a data collection module which collects various physiological and environmental data; the data preprocessing module is used for processing data by using improved mean filtering, linear interpolation and normalization; the health state analysis module is used for constructing a model by using various neural networks, analyzing the health state according to the multi-data feature vector and predicting the disease risk; the health information management module is used for storing data, building archives, giving personalized suggestions to the user and being in butt joint with a third-party platform; and the interaction module comprises a plurality of interaction devices, can check information, set parameters and receive notices, and is additionally provided with units such as exercise data acquisition and model optimization to assist the realization of system functions. The multi-element high-precision sensor is integrated to accurately collect data, the AI algorithm accurately analyzes the health state and the disease risk, double storage guarantees data safety, sharing is facilitated, the multi-interaction mode is convenient to operate, and user health is comprehensively protected.

The embodiment of the present invention provides a data processing method, device, equipment and medium based on a virtual machine, which is applied to the field of virtualization technology. A host machine is deployed with one or more virtual machines, and each virtual machine communicates with the host machine through a corresponding virtual communication device. The method includes: when monitoring that a target virtual communication device of a target virtual machine has target data that needs to be read, obtaining a target file descriptor; wherein each file descriptor has a corresponding socket instance; when the target socket instance corresponding to the target file descriptor is connected to the target virtual communication device, reading the target data, and updating the target data to the table item corresponding to the target virtual communication device in the preset virtual communication device list. Through the embodiment of the present invention, the process of optimizing the host machine to read the data sent by the virtual machine through the virtual communication device is realized, and the convenience of the host machine to obtain data in the virtual machine is improved.

The invention relates to the technical field of neurological rehabilitation, in particular to a transcranial direct current closed-loop regulation and control method based on near-infrared brain oxygen real-time feedback, which comprises the following steps: collecting brain oxygen baseline signals of each region of the whole brain, calculating the mean value and the standard deviation of each brain region, and establishing a whole brain blood oxygen regulation and control threshold matrix of sub-regions and sub-parameters; dynamically adjusting the core target brain region, and adjusting the sampling frequency and the single detection duration according to the fluctuation frequency of the oxyhemoglobin concentration of the core target brain region; according to the signal fluctuation frequency, continuously adapting the detection parameters, and combining the comparison result of the core characteristic parameters and the whole brain blood oxygen regulation threshold matrix, optimizing the transcranial direct current regulation parameters, and outputting optimized data; by means of the mode, dynamic adaptation of the detection parameters and the signal fluctuation characteristics is carried out, and regulation and control collaboration is improved.

The invention relates to the technical field of pipeline maintenance equipment, in particular to a Tai Chi tool bit desilting and obstacle removing integrated pipeline robot which is characterized in that a three-in-one pipeline cable, a silt suction vehicle, a hydraulic station, an integrated servo three-in-one cable winding machine and the like are arranged on a robot system; the desilting and obstacle removing integrated robot is provided with a desilting Tai Chi tool bit machine body assembly, a lifting supporting probe assembly, a left lifting driving wheel assembly, a right lifting driving wheel assembly, a quick-release silt suction assembly, a spiral barrel, a material box barrel trolley assembly and a hoisting structure. According to the invention, interaction between the ground robot and the underwater robot is realized, the robot is connected through the sewage cleaning pipe to cooperatively complete the dredging work of the robot and realize separation, compression, cleaning and post-treatment of various obstacles, and the robot can stably and reliably carry out real-time digital stable work, so that the working efficiency is greatly improved, and the labor intensity and the cost are reduced.

The invention discloses a data model system for blending and curing thermosetting resin, which comprises a mobile terminal (APP) used for providing an interface for a user to interact with the system; the neural network database is used for storing and managing related data of a neural network; according to the method, corresponding three-dimensional model modeling and external environment temperature setting are carried out according to the actual use shape of the thermosetting resin, so that the calculation result is more accurate, a large amount of analog simulation is carried out on different environment factors, all obtained simulation data are counted, and neural network training is carried out to optimize data; and the optimized data statistical model is converted and output as an APP of a user-defined interaction interface and a use mode, and an operator can correct the thermosetting resin blending and curing simulation model according to actual conditions to obtain a more accurate result.

The present invention discloses a device and method for fully automatically measuring the surface adhesion of dust, the device comprises: a breaking unit, a gear unit, a crank mechanism, a base, a disc unit, and a sleeve unit; the breaking unit and the gear unit are fixed on the base; the breaking unit is arranged near the left side of the gear unit, and a crank mechanism is arranged above the gear unit; one side of the crank mechanism is fixed on the base, and the other side is fixed on the gear unit; the disc unit is arranged on the gear unit; the sleeve unit is fixed above the crank mechanism; the method comprises: performing a breaking operation by combining a low-speed motor with an elastic rope, and performing automatic sleeve assembly and automatic feeding operations by using a gear unit and a crank mechanism. The present invention can accurately capture the change of stress at the moment of dust peeling, avoid the experimental error caused by manual assembly, greatly improve the accuracy and repeatability, and the measurement process consumes less materials and can be recycled and reused.

The utility model discloses a biological ultra-low temperature vacuum liquid nitrogen box which comprises a heat insulation base, a vacuum outer system, a vacuum inner shell system, a waste material pipe, a cover plate table and a liquid nitrogen inlet and outlet, the bottom of the vacuum outer system is fixedly installed on the top of the heat insulation base, the vacuum inner shell system is fixedly installed in the vacuum outer system, and the waste material pipe is connected with the cover plate table. And the waste material pipe is fixedly mounted on one side of the vacuum external system. The whole design operation process of the ultralow-temperature liquid nitrogen box is carried out under a low-temperature condition, so that the primitiveness and the integrity of a biological sample are protected to the greatest extent, the activity of the biological sample is not damaged, more, better and more real data can be obtained, and the ultralow-temperature liquid nitrogen box is particularly suitable for some low-abundance and easily-degradable samples. Low-temperature operation has very obvious advantages, a low-temperature environment in a sampling process is kept, and a sample is not damaged; the vacuum interlayer technology isolates cold air and prevents the periphery from frosting and condensing; the sample test tube is provided with double stations, multiple samples are collected simultaneously, and cross contamination of the samples is prevented.

The utility model provides an intelligent blood pressure monitoring device which comprises a device body, an inflation cuff, an air pump, a data transmission module and a controller, the inflation cuff is connected with the device body, the air pump is arranged in the device body, and the air pump is configured to inflate air into the inflation cuff; the data transmission module and the controller are both arranged in the device body, the controller is configured to obtain blood pressure data of a monitored object through the inflatable cuff, the data transmission module is electrically connected with the controller, and the data transmission module is configured to transmit the blood pressure data to a cloud server; therefore, the blood pressure data can be timely uploaded to the cloud server, and the blood pressure data can be continuously and timely recorded, so that the blood pressure data can be conveniently recorded, and sudden diseases of a monitored object can be prevented.

This application relates to a method, apparatus, device, and medium for detecting lane line separation and merging points. The method includes: after acquiring a lane line image, performing skeletonization processing on the lane lines in the lane line image to obtain a lane line skeleton diagram; identifying all branch nodes on the lane line skeleton diagram, and determining pseudo branch nodes among all branch nodes; and eliminating pseudo branch lane lines corresponding to the pseudo branch nodes in the lane line skeleton diagram to obtain the real branch nodes in the lane line image, i.e., obtaining the lane line separation and merging points. The solution provided by this application can accurately detect lane line separation and merging points.

This invention relates to the field of natural resource surveying, monitoring, and accounting, specifically to a method for evaluating the efficiency of regional natural resource utilization that considers both flow and stock. The method includes: determining the spatial boundaries of the target area and defining the baseline time point; classifying all natural resources within the target area that fall under the scope of natural resource accounting into two categories: stock resources and flow resources; calculating the corresponding physical quantities of each stock resource and each flow resource; integrating all physical quantities of natural resources to the district / county scale to form district / county-level statistical results; processing the district / county-level statistical results using the entropy weight method to obtain comprehensive stock indicators and comprehensive flow indicators; constructing heterogeneity constraint factors based on the "three zones and three lines" framework; and evaluating the efficiency of natural resource utilization in each district / county using the comprehensive stock indicator as input and the comprehensive flow indicator as output through an SBM model incorporating heterogeneity constraint factors. This invention improves the accuracy of the accounting results.

The embodiment of the invention provides a commodity feature generation model, a commodity identification and clustering method and a commodity management system, and the commodity feature generation model comprises the steps: obtaining original data, and obtaining the commodity information and user information of all commodities; extracting structured entity features in the data in the commodity information to obtain entity feature vectors; obtaining a keyword from the user information to generate a word embedding vector, and constructing a first incidence matrix between the keyword and the corresponding click commodity data; training a commodity feature generation model, inputting the features after data processing into the commodity feature generation model, and generating commodity feature vectors corresponding to the commodities; and high-frequency commodities and corresponding clustering features are adopted for adjustment and optimization, and construction of a commodity feature generation model is completed. According to the method, the user information is introduced into the training process of the commodity feature generation model, the data feature dimension of the user information is utilized, so that the clustering result of the commodity feature generation model can better meet the requirements of the user, and the clustering accuracy of the commodity feature generation model is improved. Meanwhile, the computing power demand in the training and running process of the commodity feature generation model is low, and the processing efficiency is greatly improved.

The present invention proposes a facial diagnosis and tongue diagnosis collection cabin, which can collect facial and tongue physical signs of the patient according to the diagnosis standards of traditional Chinese medicine. The collector of the collection cabin includes a light emitting cover and a light source located at the rear of the light emitting cover; the light emitting cover is a polygonal cone with a built-in lamp cavity; the bottom surface of the cone is open to form a light outlet facing the face of the patient; a ring light is arranged in the lamp cavity; a shooting device is arranged at the center of the ring light; the ring surface of the ring light is a light outlet facing the light outlet, and the light outlet is covered with a diffuse light-transmitting material that can diffusely refract light; two side reflection plates extending toward the inner side of the light outlet are arranged on both sides of the light outlet; the side reflection plates form a reflective surface facing the light outlet with multiple wavy surfaces; the reflective surface of the reflective plate and the inner surface of the lamp cavity are both rough surfaces covered with tiny wrinkles; the present invention can form a standard lighting environment for collecting physical sign data of facial diagnosis and tongue diagnosis.

The present application relates to a basketball sports auxiliary system, the system comprising: a net sensor, arranged on a net, for collecting a user's shooting data; a wearable device, for collecting the user's basketball behavior information; a first terminal, respectively connected to the net sensor and the wearable device for communication, for obtaining the user's shooting data and basketball sports data obtained from the user's basketball behavior information, and outputting the user's shooting data and basketball sports data, wherein the basketball sports data includes one or more of physiological information and motion data. This method does not require manual recording of the user's shooting data and basketball sports data, saves human resources, avoids erroneous data caused by manual recording, improves the accuracy of shooting data and basketball sports data, and improves the efficiency of data collation. The present application also relates to a basketball sports auxiliary method.