840results about How to "Improve features" patented technology

The invention provides a hydroxytyrosol supramolecular compound and a preparation method and application thereof, and belongs to the technical field of cosmetics and biological medicine, the supramolecular compound comprises the following chemical components by mass: 0.01-10% of hydroxytyrosol, 2-45% of an amino acid compound, 2-20% of alpha hydroxy acid, 2-30% of urea, and 15-92% of water. The supramolecular compound can promote transdermal delivery of hydroxytyrosol and maintain the biological activity of hydroxytyrosol, shows high biocompatibility, and can be applied to product development in the antibacterial field, the regeneration field and the anti-aging field.

The invention provides a non-stationary industrial process monitoring method and system. The method comprises an offline training stage: calculating a time Laplacian matrix and a space Laplacian matrix based on a historical data matrix; constructing an objective function of the stationary subspace analysis method, and adding a time constraint term of a time Laplacian matrix and a space constraint term of a space Laplacian matrix into the objective function; solving the objective function to obtain a stable projection matrix; calculating a stationary component and a monitoring index of each sample in the data matrix X in sequence; determining a control limit by using a kernel density estimation method; an online monitoring stage: based on the real-time operation data x, calculating a stationary component of the real-time operation data x and a corresponding real-time monitoring index according to the stationary projection matrix, and if the real-time monitoring index is greater than a control limit, judging that the operation of the non-stationary process has a fault; the monitoring accuracy can be improved.

This invention relates to the field of medical testing, specifically to a set of biomarkers, reagent kits, and their applications for diagnosing hypertension in children. This invention involves collecting tongue / intestinal samples from obese children with hypertension, obese children, and healthy individuals, performing metagenomic sequencing, and statistically analyzing the sequencing data using bioinformatics to identify disease-related tongue / intestinal flora. By integrating tongue / intestinal flora with disease information, a combination of flora biomarkers is obtained. A binary classification prediction model constructed using this combination can maximally detect hypertension in obese children.

The invention provides a macro virus group sequencing library construction method for removing host ribosome RNA through an enzyme method and a kit, and belongs to the technical field of biology. The method comprises the following steps: hybridizing total RNA (Ribonucleic Acid) of a sample with a DNA (Deoxyribose Nucleic Acid) probe aiming at host ribosome RNA to form a DNA / RNA hybrid chain; rNase H is used for digesting RNA in the hybrid chain, and DNase I is used for digesting the remaining DNA probe in the system; purifying to obtain virus RNA (Ribonucleic Acid); carrying out fragmentation treatment on the virus RNA; carrying out reverse transcription on the fragmented RNA to synthesize a first chain cDNA, then synthesizing a second chain cDNA, and carrying out terminal repair and dA tail addition to obtain double-chain cDNA; connecting the linker with the dT tail with the double-chain cDNA; and carrying out PCR amplification and purification on the connection product to obtain the macro virus group sequencing library. According to the construction method and the kit, the problem that the full-length sequence of the virus cannot be obtained from a low-load sample can be solved.

The invention relates to a load prediction method TSR-MAEN based on decomposition representation and an attention encoder network. Firstly, the algorithm provides a trend-seasonal decomposition representation method based on comparative learning so as to enhance the decoupling performance of a model on a trend component and a seasonal component of a load sequence and the representation capability of decomposition characteristics. Secondly, in order to deeply mine and decompose time sequence information contained in a feature hidden space and dependency between features, the algorithm proposes a mixed attention encoder network; through segmented embedding, a trend-season dynamic projection mixed self-attention mechanism and a multi-head mixed output mechanism, trend and season multi-dimensional features after load sequence decomposition are effectively utilized to express and enhance the long-range dependence information extraction capability of the model. Experiments show that the TSR-MAEN algorithm provided by the invention has excellent performance in an electrical load prediction task of oil and gas development, and the prediction error is reduced by 8.51% compared with that of an optimal baseline algorithm.

The invention relates to the technical field of biological medicines, in particular to a soluble skin-adhering microneedle for delivering an inactivated enterovirus vaccine as well as a preparation method and application of the soluble skin-adhering microneedle. Sodium hyaluronate is adopted as a film forming material to wrap an enterovirus 71 type (EV71)-coxsackie virus A16 (CA16) type bivalent inactivated vaccine antigen, and a needle body layer of the soluble microneedle is formed; the substrate layer is prepared from a pullulan material, so that the microneedle patch with a stable overall structure is formed. The technology provided by the invention is completed in a clean environment, and the vaccine patch which is qualified through sterility detection is obtained. The soluble microneedle disclosed by the invention has good antigen stability under the condition of 2-8 DEG C. In animal experiments, the microneedle is attached to the skin surface of a mouse for skin-adhering immunization, a strong immune response reaction can be induced, good immunogenicity is shown, and a novel, safe and effective vaccine delivery way is provided for prevention and control of the infantile hand-foot-and-mouth disease.

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module. According to the method, the corrected plate layer temperature after incomplete freezing is accurately recognized according to double criteria of the freezing center temperature and the temperature drop trend, and after the drying efficiency deviation degree is calculated and the abnormal type is determined by utilizing the preset efficiency interval, the related preset process conditions are adjusted; meanwhile, stagnation and overheating runaway are independently diagnosed and analyzed on the basis of time sequence correlation of the water content decreasing rate and the center temperature increasing rate, the preorder freezing defect is traced when secondary drying is normal but overtime does not reach the standard, and the slab layer temperature is reduced in an equal proportion according to the freezing defect degree; the problem that the process efficiency and the product quality stability are difficult to consider at the same time due to dependence on artificial experience, stage splitting and lack of dynamic feedback is effectively solved.

The invention relates to a BERT and multi-module fusion-based track circuit fault label classification method and device and a medium, and the method comprises the steps: obtaining a to-be-classified track circuit fault text, and carrying out the cleaning and standardization processing of the to-be-classified track circuit fault text; performing word segmentation and vectorization processing on the track circuit fault text to generate a lexical symbol sequence conforming to BERT encoder input specifications; extracting a context semantic vector representation of the input lexical symbol sequence through a BERT encoder; performing feature extraction through a TextCNN module and a self-attention module which are parallel to obtain local features and weighted global features, and splicing the local features and the weighted global features to obtain a comprehensive feature vector; and synchronously generating a multi-label classification result of a fault phenomenon, a fault reason and a solution measure corresponding to the current fault text through a multi-label classification head based on the comprehensive feature vector. Compared with the prior art, the method has the advantages of high discrimination, high accuracy, high practicability and the like.

The invention discloses a remote sensing image segmentation method based on multi-scale wavelet transform and Mama. The method comprises the following four steps: firstly, carrying out preprocessing and division on an ISPRS Potsdam data set and a Vaihingen data set; then constructing a segmentation network, wherein the network comprises a local detail extraction branch, a spatial semantic extraction branch, a cross-branch feature fusion part and a decoder; training and optimizing the network by using the training set; and finally, performing segmentation reasoning on a test image by using the trained model. According to the method, the high-frequency detail extraction capability of the image is enhanced through multi-scale wavelet transform, the long-distance dependency relationship is modeled by using the visual state space block, and effective fusion of the features is realized through the double-branch fusion module, so that the feature extraction capability and the semantic segmentation precision are improved, and meanwhile, the training efficiency and the stability are optimized.

The invention relates to the field of genes, in particular to molecular markers for judging flowering time of brassica napus L. The molecular markers are Indel-282, Indel-326 and Indel-353 respectively and are located on an A02 chromosome of the brassica napus L.. The molecular marker has high specificity and stability, and is significantly related to the flowering time. The markers show high specificity and stability in brassica napus plants under different genetic backgrounds. By detecting the molecular markers through PCR amplification and electrophoresis, the flowering time of different plants can be quickly and accurately identified in the early stage of breeding. Therefore, the flowering time of the plant can be determined in the early stage, so that the breeding efficiency is improved. The molecular markers can be used for molecular marker-assisted selective breeding, and plants with early flowering or late flowering characteristics can be quickly screened by detecting the markers, so that the breeding process of excellent varieties is accelerated, and the functions and regulation mechanisms of related genes are further disclosed.

The invention relates to the technical field of physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The invention relates to the technical field of metal materials, in particular to a high-strength steel material for mine roadway support and a preparation method thereof, and the high-strength steel material comprises the following components in percentage by weight: 0.04 to 0.10 percent of C, 0.15 to 0.45 percent of Si, 1.20 to 1.80 percent of Mn, 0.20 to 0.50 percent of Cu, 0.15 to 0.40 percent of Cr, 0.10 to 0.35 percent of Ni, 0.08 to 0.25 percent of Mo, 0.015 to 0.045 percent of Nb, 0.03 to 0.08 percent of V, 0.008 to 0.025 percent of Ti, 0.005 to 0.020 percent of RE and the balance of Fe. The preparation method comprises the steps of smelting and refining, continuous casting, heating, rough rolling, finish rolling, segmented controlled cooling and medium-temperature tempering (450-550 DEG C), R is larger than or equal to 620 MPa, A is larger than or equal to 18%, the yield ratio is smaller than or equal to 0.90, KV at 0 DEG C is larger than or equal to 100 J, and the deep-well high-stress roadway support is suitable for deep-well high-stress roadway support.

The invention discloses an underwater target detection method based on differential attention. The method comprises the following steps: acquiring an underwater image to be detected; based on the underwater image data set, constructing a lightweight underwater target detection network model based on a differential attention mechanism; constructing a joint loss function, and performing end-to-end training on the lightweight underwater target detection network model to obtain a trained lightweight underwater target detection network model; performing mathematical equivalence fusion on the lightweight underwater target detection network model to generate a lightweight reasoning model; and inputting the obtained underwater image to be detected into the lightweight reasoning model to realize target detection of the underwater image. According to the method, a differential attention feature interaction mechanism is introduced, common-mode noise is stripped through differential calculation, and the detection precision and real-time performance of an underwater fuzzy scene and a tiny target are remarkably improved in combination with a feature pyramid network integrating dynamic scale perception and semantic gating.

The invention relates to the technical field of facility agriculture intelligent monitoring, and discloses a crop disease and insect pest internet-of-things image recognition method and system, and the method comprises the steps: carrying out the data collection and preprocessing, and building a crop growth file; performing illumination characteristic analysis and adaptive enhancement on the original image; performing quality evaluation on the image subjected to quality optimization, calculating a comprehensive quality score and performing screening; a crop growth stage is identified, and multi-scale features are extracted; constructing an agricultural pest knowledge base and estimating a pest prior probability, projecting the multi-scale feature vector to a discrimination subspace and performing weighted fusion according to the prior probability; carrying out double weighting on the environment adaptive fusion feature vector, and carrying out pest and disease identification through a hierarchical classification strategy; performing multi-source evidence fusion to obtain a final recognition result, and generating prevention and treatment suggestions in combination with an agricultural pest knowledge base; the accuracy and environmental adaptability of pest and disease identification are improved.

The application relates to an acetic acid-regulated sodium metaaluminate-doped calcium-aluminum-phosphorus defluorination material based on eggshell, a preparation method and application thereof, and belongs to the technical field of defluorination water treatment. The method is as follows: eggshell powder, a phosphorus source and sodium metaaluminate are added into a mixed solvent composed of acetic acid and water, mixed and dispersed to form a uniform reaction system; the pH of the reaction system is adjusted to be alkaline; the adjusted reaction system is transferred into a closed reaction container to perform a solvothermal reaction; after the reaction is completed, the obtained solid product is separated and washed; and the washed product is dried. In the application, acetic acid is used for regulating the dissolution and conversion of the eggshell calcium source and the material crystallization process, sodium metaaluminate is used for introducing aluminum components and adjusting the material structure, so as to construct an Al-Ca-P synergistic defluorination system. The obtained material can be used for removing fluorine ions in fluorine-containing water bodies. The application has the dual characteristics of resource utilization of waste eggshells and preparation of defluorination functional materials, and has the advantages of simple process, easily-obtained raw materials and high application value.

This invention relates to a rapid identification method Lactobacillus plantarum The method for identifying strains, belonging to the field of species and strain identification, is based on the differences in three DNA barcode sequences. Lactobacillus plantarum CGMCC NO: 26171 strain from Lactobacillusplantarum This method allows for rapid identification from other strains of the same species. Compared to traditional morphological identification methods, the standard gene sequence obtained is beneficial for the molecular identification of *Lactobacillus plantarum* strains, effectively shortening the identification time. Three pairs of DNA barcoding primers enable specific amplification of the test strain, allowing for rapid identification. Lactobacillus plantarum strains.

The application belongs to the field of cutting tools, and provides a turning force measuring tool with embedded flexible sensors and a machine tool, which effectively measures the turning force without affecting the structure of the turning process, and ensures the accuracy and reliability of the signal, and the technical scheme comprises a tool body, the tool body comprises a blade, a positioning assembly and a clamping assembly for clamping the blade; the positioning assembly comprises a freedom degree limiting assembly for limiting the movement of the blade along the x-axis, y-axis and z-axis directions; a flexible sensor is arranged on the lower surface of the blade, a flexible circuit is arranged at the front end of the tool body, the pressure sensor and the flexible circuit are connected through flexible wires; the flexible sensor is used for converting the deformation of the blade under the action of the turning force into a voltage signal; and the flexible circuit is used for calculating the size of the turning force according to the relationship between the voltage signal and the turning force.

This invention provides a maltodextrin with good encapsulation performance and moisture resistance, and its preparation method. This invention belongs to the field of food processing technology. The preparation method of the maltodextrin with good encapsulation performance and moisture resistance provided by this invention includes the following steps: (1) adding 4-α-glycosyltransferase to a waxy cassava starch slurry for a first-stage enzymatic hydrolysis, inactivating the enzyme, and obtaining a waxy cassava starch slurry; (2) after heat preservation treatment of the waxy cassava starch slurry, adding a heat-resistant starch branching enzyme solution for a second-stage enzymatic hydrolysis, inactivating the enzyme, and obtaining a macrocyclic dextrin slurry; (3) centrifuging the macrocyclic dextrin slurry to remove impurities, freeze-drying, and obtaining maltodextrin with good encapsulation performance and moisture resistance. The maltodextrin prepared by the method of this invention has good encapsulation and adsorption performance, extremely high water solubility and slow digestion characteristics, and also has the advantages of low viscosity, high transparency, non-retrogradation, strong freeze-thaw stability, and good moisture resistance.

[Object] To provide a surface treated steel foil that is for a current collector and that has hydrogen barrier properties suitable for a battery using a hydrogen occluding alloy. [Solving Means] The surface treated steel foil for a current collector has a first surface on which a hydrogen occluding alloy is disposed and a second surface located on a side opposite to the first surface. The surface treated steel foil for a current collector is characterized by having an iron-nickel alloy layer that is laminated on at least one surface side of the first surface side and the second surface side on the side opposite to the first surface side of a metallic base material composed of steel foil and that restrains permeation or diffusion of hydrogen in the surface treated steel foil for a current collector, and is characterized in that at least one layer included in the iron-nickel alloy layer has a thickness of not less than 0.5 um.

The application provides a bionic mechanical leg and a bionic device. The bionic mechanical leg comprises a mechanical thigh, a mechanical calf, a calf driving device and a thigh driving device. The mechanical calf is rotatably connected with the mechanical thigh. The calf driving device comprises a motor and a driving rod. The motor is arranged on the mechanical thigh. The driving rod is connected with the motor and the mechanical calf, and is used for driving the mechanical calf to rotate. The thigh driving device comprises a ball gear, a first driving gear and a second driving gear. The first driving gear and the second driving gear are both engaged with the ball gear. The rotation axis of the first driving gear and the rotation axis of the second driving gear are perpendicular. The ball gear is connected with the mechanical thigh, and is used for driving the mechanical thigh to rotate. The application has higher driving efficiency, a more compact structure and is more lightweight, and is more suitable for small toy bionic devices.

The invention provides a hard and tough alternately laminated light-weight corrosion-resistant composite material, which comprises a laminated matrix formed by periodically and alternately stacking high-strength aluminum alloy layers and carbon fiber reinforced thermoplastic resin layers; the metallurgical-mechanical composite interface is located between the high-strength aluminum alloy layer and the carbon fiber reinforced thermoplastic resin layer, forms a nanoscale coarse structure on the surface of the aluminum alloy through plasma activation treatment, and is combined with the thermoplastic resin matrix to form a transition area with mechanical interlocking and chemical bonding functions; the conductive polymer anticorrosive coating covers the surface of the outermost layer of the laminated matrix; the preparation method of the light-weight anti-corrosion composite material comprises the following steps: surface pretreatment, plasma activation treatment, laying, hot-pressing curing and preparation of an anti-corrosion coating. Through the synergistic effect of macroscopic laminated configuration design, microcosmic interface strengthening and a surface active anti-corrosion coating, the advantage of light weight is kept, and meanwhile, balanced improvement of impact wear resistance and long-acting electrochemical corrosion resistance is achieved.

The invention relates to the technical field of molecular detection, in particular to a method, a system, a kit and a probe for detecting BRCA2 gene mutation. The detection method comprises the following steps: carrying out pretreatment and PCR amplification on a blood sample, carrying out a hybridization reaction with a probe to obtain a sample, detecting the sample based on an SERS technology, and collecting an SERS spectrum. Whether BRCA2 gene mutation exists or not is judged by identifying characteristic double peaks of a cy3 fluorophore at 1188 cm <-1 > and 1393 cm <-1 >, and the whole detection process can be completed within 2 hours. According to the scheme, the region, carrying the BRCA2 gene, on the DNA can be amplified through the specific primer pair, then the DNA is specifically combined through the improved oligonucleotide probe, and detection is achieved through the reporter molecule on the oligonucleotide probe; therefore, the detection method provided by the scheme has the advantages of high detection speed, high sensitivity and high detection result accuracy, and the problems of long time consumption and high cost of the traditional PCR or NGS technology are effectively solved.

This invention relates to a quadrilateral photonic crystal fiber filter based on dual-wavelength filtering, belonging to the field of fiber optics and photonic device technology. It includes a substrate and a fiber core disposed within the substrate, and a cladding surrounding the fiber core. The cladding contains multiple layers of air holes extending along the fiber axis, arranged periodically in a two-dimensional quadrilateral lattice. A metal thin film is disposed within the cladding to excite surface plasmon resonance (SPR). At least one non-circular air hole is also disposed within the cladding to enhance the birefringence of the fiber. The multiple air holes, metal thin film, and non-circular air holes enable the filter to selectively filter orthogonal polarization states in two different communication bands. This invention, based on SPR and employing a quadrilateral lattice structure, achieves polarization-selective filtering in two communication bands and exhibits good tolerance to manufacturing errors; simultaneously, its regular structure makes it easy to manufacture.

The application discloses a kind of illegal access hardware identification and dynamic blocking method and device of bluetooth device, it is related to artificial intelligence technical field, the method includes the steady-state current response waveform and radio frequency IQ baseband signal of synchronous acquisition bluetooth device;Signal is preprocessed and respectively extracts cyclic stationary feature and joint time-frequency-cyclic feature;Adaptive multi-source feature fusion network of fusion channel and spatial attention is constructed, and classification is carried out in combination with double-branch convolution, protocol perception feature modulator and multi-scale hollow convolution pyramid.The application realizes multidimensional perception and cross-domain feature fusion of hardware fingerprint, enhances abnormal discrimination by protocol perception modulation, realizes the feature normalization of different working modes of same hardware and illegal equipment feature abnormal amplification, forms end-to-end active defense system from feature extraction to dynamic blocking.

The present application relates to the field of optical interferometry, and aims at the phase distortion problem in off-axis interferometric quantitative phase imaging, and provides an interferometric microscopic phase distortion elimination method based on PACUNeXt3+ network. The method comprises the following steps: 1. using Zernike polynomials and test target pictures to simulate and generate a data set; 2. establishing and training a PACUNeXt3+ neural network model; 3. inputting the interference graph I or of the sample to be measured into the trained neural network, and outputting the background interference graph I' r corresponding to the sample without sample information; 4. using the two interference graphs I or and I' r to reconstruct the sample phase distribution φ o (x, y) without phase distortion. The present application has high precision and speed, can eliminate the secondary or high-order phase distortion in interferometric quantitative phase imaging, and has great application prospect in the field of phase imaging.

The invention relates to a preparation containing a heterocyclic compound or a compound formed by the heterocyclic compound and pharmaceutically acceptable salt as well as a preparation method and application of the preparation. The preparation comprises an active component and a pharmaceutically acceptable carrier, the content of the active component is 1 wt%-50 wt%; the active component is a compound as shown in a formula I-3B or a compound thereof; the compound of the compound as shown in the formula I-3B is a compound formed by the compound as shown in the formula I-3B and pharmaceutically acceptable acid. The application comprises the following steps: preparing a 15-PGDH inhibitor, and / or preparing a medicine, a pharmaceutical composition or a preparation for preventing and / or treating 15-PGDH related diseases. .

The application discloses a lower limb venous thrombosis risk monitoring intelligent sock and relates to the technical field of medical devices.The application comprises a sock body, wherein the sock body is sequentially provided with an ankle monitoring area, a lower leg gastrocnemius muscle monitoring area and a popliteal fossa monitoring area from bottom to top;the ankle monitoring area is provided with a ring-shaped impedance electrode in a matched mode;four distributed pressure sensors and paired temperature sensors are arranged in a circumferential mode;three groups of sensor nodes are arranged in a triangular shape in the lower leg gastrocnemius muscle monitoring area, and the three groups of sensor nodes correspond to the medial head of gastrocnemius muscle, the lateral head of gastrocnemius muscle and the median intermuscular vein running area respectively.The application realizes the loop-level binding of the impedance electrode and the sock body through the yarn-increasing synchronous loop-forming process, cooperates with the self-pre-tightening suspended packaging sensor unit and the distributed redundant array design, realizes the automatic compensation of the sock body fitting degree when the sock body is slightly loose, realizes the effective data redundant backup when the sock body is moderately loose, and completely solves the core defects that the sensors of the existing wearable devices are prone to displacement, suspension and failure.

The application provides a receiving end filter and a preparation method thereof, and a combined filter, and belongs to the field of coating technology. The application solves the problem that the existing receiving end filter is relatively single. The receiving end filter comprises a glass substrate, a narrow-band pass film system and an anti-reflection film system. The narrow-band pass film system comprises silicon oxide film layers and hydrogenated silicon / hydroxylated silicon / nitrogen hydrogenated silicon film layers which are alternately deposited layer by layer, and a silicon oxide film layer as an outermost layer. The anti-reflection film system comprises silicon oxide film layers and hydrogenated silicon / hydroxylated silicon / nitrogen hydrogenated silicon film layers which are alternately deposited layer by layer, and a silicon oxide film layer as an outermost layer. The receiving end filter has the advantages that the overlapping high transmittance is achieved within an angle range of 0°-60° of an incident angle, and the demand cut-off spectrum band has the effect of inhibiting the transmission of light signals within the angle range of 0°-60° of the incident angle.

The application discloses an ultrathin phased array antenna with wideband high gain and low radar scattering cross section, which comprises, from bottom to top, a ground plate, a second dielectric substrate layer, an ultrathin surface layer, a first dielectric substrate layer and a radiation patch layer. The ultrathin phased array antenna is characterized in that the low profile antenna structure with the functions of wide-angle stable scanning, wideband high gain radiation and wideband radar scattering cross section reduction is realized by integrating the subwavelength ultrathin surface under the radiation layer.

The invention provides a method and system for collecting working state data of a manufacturing execution system, and the method comprises the steps: obtaining an equipment working data set, a personnel working video set and a workpiece information set, and respectively extracting a corresponding equipment working feature sequence set and a corresponding workpiece feature sequence set, performing illumination compensation, foreground segmentation and time window splitting on the personnel operation video set, and performing multi-dimensional attitude decoupling, action semantic recognition and production rhythm modeling on the personnel operation video set after the time window splitting to obtain a personnel action feature sequence set; performing dynamic time warping, beat alignment and feature binding based on the production task order to obtain a multi-modal production feature sequence set, and performing collaborative feature enhancement and dimension reduction compression to obtain a multi-modal working time sequence feature sequence set; and by taking the production task order as an edge index, constructing a dynamic hypergraph model of the multi-modal working time sequence feature sequence set, and carrying out man-machine collaborative analysis on the dynamic hypergraph model to obtain a working state data sequence.