14results about How to "Taking into account features" patented technology

The application discloses a new energy station electric quantity prediction method and system based on a global-local double-layer prediction architecture, and aims at solving problems of insufficient monthly electric quantity prediction data of new energy stations, large medium and long term weather prediction errors, and low prediction precision of traditional experience methods, adopts a global-local double-layer model architecture, a XGBoost global prediction model is constructed by using all station data in the upper layer, common rules such as seasons, weather, installed capacity, shutdown plan and the like are mined, the global model output is taken as an enhanced feature, a XGBoost local model is trained in combination with single station data in the lower layer, and individual characteristics such as station equipment efficiency and operation and maintenance level are adapted, and a holiday adjustment factor is introduced to post-process and correct the prediction result. The application effectively solves the small sample modeling problem commonly existing in monthly electric quantity prediction, and significantly improves the monthly electric quantity prediction accuracy of wind power stations and photovoltaic stations.

An immunological analysis mode of a novel total antibody assay and a kit for detecting antibodies of infectious diseases in human blood samples according to the mode, the kit comprising: a first reagent containing at least one antigen coated on a solid support and an anti-human IgM antibody coated on a solid support; and a second reagent containing at least one labeled antigen and a labeled anti-human IgG antibody; wherein at least one antigen of the at least one antigen coated on the solid support and at least one antigen of the at least one labeled antigen can bind to the same IgG antibody or the same IgM antibody in the sample. The kit can overcome the disadvantages caused by the detection principle while retaining the advantages of each detection principle. In addition, a method for detecting antibodies produced after pathogen infection in a sample is provided.

The present application belongs to the field of laser radar signal processing, and provides a method and system for retrieving vertical visibility based on Mie scattering laser radar, the method comprising the following steps: S1, acquiring signals; S2, signal preprocessing, sequentially comprising background noise correction, overlap factor correction, distance square correction, denoising processing and normalization; S3, vertical visibility retrieval, comprising the construction, training and use of a DBO-BP optimized neural network model. The system comprises a Mie scattering laser radar, a data preprocessing module and a DBO-BP optimized neural network model module. When retrieving vertical visibility, the present application takes into account the physical characteristics and data characteristics of the original echo signal, significantly enhances the anti-noise performance through multiple denoising when preprocessing the signal, and balances the efficiency and accuracy by adopting a hierarchical iteration strategy when training the model.

This invention provides a vehicle control device that, when the required driving force of the engine exceeds a predetermined value that degrades the characteristics of the engine mount, increases the RrMG torque, which is the driving requirement of the rear electric motor, thereby reducing the required driving force of the engine. As a result, the flattening of the engine mount supporting the engine is reduced, thus reducing engine vibration transmitted to the vehicle body via the engine mount.

The invention discloses a preparation method and application of an electrochemical biosensor based on a self-protection palindromic DNA (deoxyribonucleic acid) nanosphere. The electrochemical biosensor comprises an HP-trigger, a target miRNA (micro ribonucleic acid) and a self-protection DNA palindromic nanosphere core structure. The DNA nanosphere is of a three-dimensional spherical structure formed by four single-stranded DNAs through complementary base pairing, the three single strands of SEP-Sa, SEP-Sb and SEP-Sc contain 12 nt palindromic cohesive ends and 15 nt single-stranded arms, the single strand of HP-Sc contains 35 nt prolonged hairpin structures, the structural stability is enhanced through a self-protection mechanism of a palindromic sequence, and structural dissociation triggered by target miRNA is achieved. The target miRNA is combined with an HP-Sc hairpin structure to trigger conformational change, release complementary chains and dissociate palindromic nanospheres, and exposed DNA sites are combined with MB to generate electrochemical signals, so that a novel tool is provided for early diagnosis of tumors.

This application provides a method and apparatus for intelligent classification of complex scenes using geographic partitioning collaborative coding, belonging to the field of image recognition technology using classification. The method includes: acquiring comprehensive geographic partitions of a study area; performing partition coding on each comprehensive geographic partition to obtain partition coding vectors; constructing an image coding model based on a deep learning model; using high-resolution remote sensing images as input data, classifying scenes in the remote sensing images using the image coding model; generating image coding vectors based on the last fully connected layer of the image coding model; and concatenating the partition coding vectors with the image coding vectors to generate a partitioned collaborative feature representation vector; constructing a scene-supervised classification model based on the feature representation vectors; iteratively training the scene-supervised classification model until it converges to obtain a trained scene-supervised classification model; and using the trained scene-supervised classification model to classify the scene units to be classified. This method can improve the accuracy of scene classification.

The invention relates to the technical field of optimal scheduling of an integrated energy system, and discloses a fully-distributed combined heat and power optimal scheduling method, device and equipment and a medium. In order to solve the problems of linear convergence, low calculation efficiency, dependence on a coordination center and the like of a traditional distributed optimization algorithm in electric heating system scheduling, on the basis of reserving an original electric heating coupling model core architecture, a distributed collaborative interior point conjugate gradient method is introduced as an optimization algorithm, and fully-distributed scheduling with efficient convergence is achieved. According to the method, an electric heating comprehensive energy system optimization model is converted into a convex optimization problem, a correction equation is decoupled, a coefficient matrix is ensured to be symmetrical and positive definite, a distributed conjugate gradient method is adopted for solving, and collaborative optimization of an electric power system and a thermodynamic system can be achieved without a coordination center. Simulation verification shows that the calculation efficiency is improved by more than 90% on the premise of ensuring that the optimization precision is consistent with a centralized algorithm, the privacy of each energy main body can be protected, and the method is suitable for real-time scheduling of electric heating comprehensive systems of different scales.

This invention provides a biodegradable modified coating, a modified knot plugging agent for fracturing, and their preparation method, belonging to the field of tertiary oil recovery technology. Specifically, the dense cross-linked network structure generated by the Schiff base reaction between gelatin (GL) and glutaraldehyde (GD) serves as a coating material for the knot plugging agent, providing it with high strength and stability without sacrificing its biodegradability. Furthermore, by changing the reaction conditions (immersion time and curing time) during the preparation of the coated knot plugging agent, a series of knot plugging agents adaptable to different reservoir temperatures and degradation cycles can be obtained to meet the complex conditions in perforation cluster plugging processes, thus broadening its application range.

This invention provides a single-crystal thin film, its preparation method, and its application. The single-crystal thin film of this invention comprises a substrate layer, an isolation layer, and a lithium tantalate niobate thin film layer sequentially stacked; the lithium tantalate niobate thin film layer comprises LiTa. x Nb 1‑x O3, where 0 < x < 1. The single-crystal thin film of the present invention can achieve flexible optimization of the performance parameters of the thin film material while maintaining the suitability of the single-crystal thin film for optoelectronic and integrated photonic device applications.

This invention provides a controllable variable stiffness hybrid-driven adaptive dexterous hand and its driving method, comprising: a biomimetic connecting component, a variable stiffness finger component, and a thumb component. The variable stiffness finger component includes an assembly frame, a variable stiffness component, a first driving mechanism, a proximal phalanx component, a middle phalanx component, and a first fingertip component. The thumb component includes a mounting base, a rotation driving mechanism, a second driving mechanism, a thumb phalanx component, and a second fingertip component. This application overcomes the contradiction between fine manipulation and flexibility in traditional dexterous hands, significantly improving their grasping adaptability and operational reliability. Specifically, the variable stiffness finger component, through magnetorheological control technology, adjusts the stiffness of each finger in real time according to the characteristics of the grasped object, solving the pain point of lacking controllable stiffness in dexterous hands. The thumb component can be independently bent and rotated, further expanding the hand's freedom of movement and operational flexibility, enabling it to meet the multi-functional and highly adaptable needs of dexterous hands in various fields.

The invention discloses a method for rapidly detecting an oil extraction functional gene by using a real-time fluorescent quantitative PCR (Polymerase Chain Reaction) technology, and relates to the technical field of oil extraction functional genes. According to the method, a primer pair used for real-time fluorescent quantitative detection of the oil extraction functional gene dsr B gene is included, the primer pair used for detecting the dsr B gene comprises an upstream primer dsrBp2060F with the nucleotide sequence of 5 '-CAACATCGTYCAYACCCAGGG-3' and a downstream primer dsrB4R with the nucleotide sequence of 5 '-GTGTAGCAGTTACCGCA-3', and Y represents C or T. The invention further discloses a method for detecting the oil extraction functional gene dsr B. The method comprises the following steps: detecting a water sample produced by an oil well by using real-time fluorescent quantitative PCR (Polymerase Chain Reaction), calculating the initial concentrations of functional microorganisms and functional genes in the sample according to a fluorescence signal in a collection reaction process, and combining with the change of the expression quantity of the functional genes; therefore, the change conditions of the oil extraction functional microorganisms and the functional genes in the activation process are quickly, accurately and quantitatively tracked and monitored.

The invention provides a silver-based micro-nano structure protective quick-dry cleaning agent and a preparation and use method thereof, and belongs to the technical field of preparation and use of molded board cleaning agents. The cleaning agent is composed of isopropanol, ethyl acetate, a nonionic surfactant and a chelating agent. Wherein the mass ratio of the isopropanol to the ethyl acetate is 70: (10-30), the mass of the nonionic surfactant accounts for 5%-15% of the mass of the cleaning agent, and the mass of the chelating agent accounts for 5%-10% of the mass of the cleaning agent. According to the cleaning agent, a basic organic solvent system is reasonably constructed, and a proper amount of nonionic surfactant and complexing agent are introduced, so that organic dirt, adhesive residues and oxide layers are efficiently removed, and meanwhile, the surface appearance stability and reflection integrity of patterns of a silver-based micro-nano structure are maintained.

The utility model discloses a weft knitting fabric, including first road yarn and second road yarn that alternately arrange in proper order, wherein, first road yarn includes cotton yarn and spandex, and second road yarn includes chinlon filament and spandex, one weaving cycle in the knitting structure of weft knitting fabric is composed of the loop of two weaving courses of first weaving course and second weaving course, and the loop of first weaving course and second weaving course is woven into the fabric through repeated cycle, first weaving course is the weft plain needle loop course that is formed by the weaving of first road yarn, and the spandex is woven together with cotton yarn in the way of adding yarn, second weaving course is the weft plain needle loop course that is formed by the weaving of second road yarn, and the spandex is woven together with chinlon filament in the way of adding yarn, the utility model discloses through the synergistic effect of material selection and structure design, makes the fabric have good skin friendliness, air permeability, hygroscopicity and shape retention simultaneously, and gives consideration to light and thin characteristics and durability.

This invention belongs to the field of microbial cell lysis and extraction technology, and discloses a highly permeable cationic surfactant microbial lysis buffer and its preparation method. The lysis buffer employs a novel branched alkyl quaternary ammonium salt ester structure, introducing an α-hydroxy ester bond specifically recognized by extracellular lipase at the β-position of the quaternary ammonium nitrogen and the alkyl chain, achieving biodegradability after lysis. The preparation method employs a two-stage sequential lysis process: the first stage utilizes chelating agent microcapsules for slow release in a specific pH environment to pretreat the bacterial cells; subsequently, a stepwise surfactant addition strategy is used to activate and enhance cell membrane permeability; finally, efficient lysis is completed through lipase-catalyzed hydrolysis. This lysis buffer exhibits rapid penetration, high efficiency, targeted and controllable processing, and is environmentally friendly, suitable for the efficient extraction and downstream purification of bacterial proteins, enzymes, polysaccharides, and other intracellular products.