237results about How to "Break through limitations" patented technology

The invention discloses a broadband spectrum compression detection method based on digital twinning and signal noise, and relates to the technical field of mobile communication, and the method comprises the following steps: S1, inputting historical spectrum data, geographic position information and electromagnetic environment parameters into a digital twinning model based on an improved FEDform model, and obtaining a digital twinning model; outputting predicted power spectral density and signal support set probability distribution; s2, generating an optimized observation matrix and a digital compression measurement vector; s3, outputting a whitening measurement value; s4, innovative components are extracted; s5, outputting reconstructed broadband spectrum data; s6, outputting a binary support set matrix containing frequency point occupancy state information; and S7, outputting the updated digital twin model. According to the invention, the limitations of dependence on high-speed sampling hardware, poor anti-noise capability and early warning delay in a traditional broadband spectrum detection method are overcome, and an efficient and accurate solution is provided.

The invention discloses an action sports scoring method and device based on big data analysis, and relates to the technical field of computer vision, and the method comprises the following steps: S1, constructing a human body posture tensor manifold; s2, generating aligned action track characteristics; s3, generating symmetrical positive definite manifold features; s4, generating deep manifold distribution parameters; s5, quantifying global distribution deviation characteristics; s6, calculating a residual vector based on the deep manifold distribution parameters and the standard action distribution parameters, inputting the residual vector into the improved AGCN model for processing, constructing an adaptive topology based on the residual vector, and performing aggregation analysis to obtain a joint-level physical angle error after multi-scale space-time convolution and manifold enhancement; and S7, outputting a comprehensive score vector. According to the method, the limitation that a traditional method only depends on local geometric features and ignores global topological structure constraints and statistical distribution priori is overcome, and an efficient solution is provided for intelligent scoring of sports actions.

The invention discloses a geogrid and EICP synergistically reinforced soil embankment structure and a construction method, and relates to the technical field of soil embankment structures. Comprising a pavement base layer, an embankment bearing layer and a natural soil foundation layer, and the natural soil foundation layer is used as a soil embankment structure support and is arranged at the bottommost layer; the pavement base layer is used for bearing an upper driving load and uniformly transferring the upper driving load to the embankment bearing layer below; and the embankment bearing layer is used for bearing the upper load transmitted by the pavement base layer. The engineering performance is improved through the multi-layer synergistic effect, the core reinforcing layer is of an innovative space grid structure and is composed of a prefabricated geogrid, a grid support arranged in the inclined direction and a rigid stress plate frame, a three-dimensional force transmission network is formed, the limitation of a traditional reinforcing method is broken through, and the engineering performance is improved. In addition, the grating support is arranged at a specific angle, the structural rigidity is guaranteed, and the stress concentration phenomenon is avoided.

The invention relates to the technical field of artificial intelligence, in particular to a load balancing method and device, electronic equipment, a storage medium and a program product, and the load balancing method comprises the steps: obtaining traffic characteristics of communication links between different nodes in a data block migration process of a distributed storage system; determining a load distribution mode of each communication link based on the flow characteristics of each communication link; based on the flow characteristics and the load distribution mode of each communication link, determining hotspot nodes and corresponding service priorities thereof; determining a target hotspot node based on the access frequencies, the data transmission quantities, the node loads and the corresponding service priorities of all the hotspot nodes; and based on the processing performance, the network state and the storage capacity of the node, screening out a target low-load node meeting a preset condition from the distributed storage system, and migrating data of the target hotspot node to the target low-load node. According to the invention, the network flow distribution and node load balancing state can be dynamically optimized.

The invention discloses a forest fire early recognition and early warning system and method based on multi-source sensing and artificial intelligence, and belongs to the technical field of forest fire intelligent monitoring. The system comprises a gridding multi-source sensing deployment module, a multi-modal time sequence data collaborative acquisition module, a cross-modal feature coupling and state diagnosis module, a multi-source heterogeneous feature adaptive fusion and fire behavior identification module and an intelligent grading early warning and dynamic resource collaborative scheduling module. The method comprises the steps of heterogeneous grid division and sensing deployment, multi-modal time series data collaborative acquisition, cross-modal feature coupling analysis, multi-channel attention fusion recognition, and graded early warning and dynamic scheduling. Through multi-source data collaborative sensing, cross-modal feature coupling analysis, adaptive fusion recognition and intelligent scheduling response, accurate and rapid intelligent early warning of the early stage of the forest fire is realized, and the intelligent level and emergency response efficiency of forest fire prevention and control are significantly improved.

The application relates to the technical field of data analysis, and discloses a karst fissure identification-based open-pit mine blasting parameter optimization method and system. The method comprises the following steps: obtaining karst fissure distribution characteristic data through multi-source detection, establishing a three-dimensional fissure network topology structure, analyzing static breaking agent inflation stress propagation rules, performing multi-objective optimization solving based on stress propagation direction and intensity distribution to obtain an initial blasting parameter combination, and obtaining dynamic adjustment blasting parameters through real-time tracking and regulation according to fissure dynamic evolution in the blasting process. The application solves the problem that static blasting parameters cannot be real-time regulated according to the dynamic evolution state of the fissure network in the blasting process, resulting in deviation between the blasting effect and the expected target.

This application discloses an automatic sauerkraut filling machine in the field of food packaging technology, including a base, a support column, a top seat, and multiple filling components. The support column is connected between the base and the top seat. The base has a notch, and a packaging machine is connected to the notch. The packaging opening of the packaging machine is located at the notch, and a packaging bag is connected to the packaging opening. A motor is located at the bottom inner part of the base, and the output shaft of the motor is connected to the support column. A turntable is connected to the top of the base and is connected to the support column. Multiple filling components are all located on the turntable. Multiple drive components are connected to the support column to drive the filling components from the turntable through the support column to the bottom of the top seat. Each filling component includes a slider, a connecting column, and an electric telescopic rod. The slider is connected to the turntable and is connected to the drive components. A locking component for fixing sauerkraut is connected to the slider. The connecting column is connected to the top of the slider, and the electric telescopic rod is connected to the top of the connecting column.

This invention relates to the field of fine chemical technology, specifically disclosing a production process for electronic-grade diethyl carbonate. The method includes the following steps: ethylene carbonate and anhydrous ethanol undergo a transesterification reaction in a microwave reactor catalyzed by a composite catalyst; the reaction solution is then subjected to phase separation treatment, followed by a continuous separation process coupling atmospheric and vacuum distillation to obtain an intermediate; further purification is achieved by molecular sieve adsorption to remove metal impurities and moisture, combined with precision filtration using a polytetrafluoroethylene membrane. The composite catalyst significantly improves the transesterification reaction efficiency and product selectivity. This process, through the synergistic effect of reaction process enhancement and multi-stage purification technology, achieves highly efficient removal of moisture, metal impurities, and nanoscale particles from the reaction system. The resulting electronic-grade diethyl carbonate meets the stringent requirements of high-end electronic chemicals such as lithium battery electrolytes, and possesses technical advantages such as short reaction cycle, thorough impurity removal, and high product purity.

The application provides a mine anomaly detection method and system, and belongs to the technical field of mine monitoring. The method comprises the following steps: determining the energy loss correlation relationship across the energy scale based on the multi-modal data of each production link of the target mine; taking the integrated energy loss data and the optimal evaluation index of the comprehensive cost as the optimization target, combining various dynamic constraint conditions of the target mine to execute the optimization of the multi-objective optimization model containing multiple cost types; inputting the multi-modal data into the optimized multi-objective optimization model to generate an energy distribution decision; after executing the energy distribution according to the generated energy distribution decision, diagnosing the abnormal loss of the real-time energy loss data of the target mine to determine the cause of the abnormal loss. While considering the mutual correlation and collaborative influence among multiple cost types, various dynamic constraints of the target mine are also considered, so that the purpose of accurately determining the abnormal situation of the mine is achieved.

The present application relates to the technical field of bridge quality detection, especially to a continuous beam bridge different span loading load test method, comprising the following steps: determining a control section on the continuous beam bridge; measuring the axle load and the wheelbase of the test vehicle; calculating and analyzing the interval area of the calculated bending moment change effect function with the moving vehicle; analyzing and calculating the interval area of the measured bending moment change effect function with the moving vehicle; comparing the ratio of the interval area of the calculated bending moment change effect function with the moving vehicle and the interval area of the measured bending moment change effect function with the moving vehicle through the calibration coefficient to determine whether the bearing capacity requirement is met. The continuous beam bridge different span loading load test method can effectively reduce the arrangement of measuring points and the need for test vehicles, and quickly and accurately judge the bearing capacity state of the bridge by calculating the bending moment change effect function with the moving vehicle and the measured bending moment change effect function with the moving vehicle.

The utility model discloses a kind of tablet number grain filling devices, belong to pharmaceutical equipment technical field, driving mechanism is installed on tray, the output end of driving mechanism is connected with measuring disc through tray axis, tray is obliquely set on base by supporting mechanism, a plurality of tablet discharge ports are provided on measuring disc, a plurality of circumferential array arranged medicine containing area are provided on measuring disc, the position of medicine containing area corresponds with tablet discharge port position, scraper is connected with tray by bunker fixing block, scraper is attached to measuring disc, barrel-shaped bunker is provided on tray. The present application adopts obliquely set tray and matched measuring disc, scraper, can accurately control tablet quantity, improve production accuracy. Dust suction port and broken tablet discharge port can clean impurities and broken tablets in time, ensure medicine quality. Driving mechanism stably provides power, ensure that device continues to operate.

According to the underwater emergency cable cutting device, a movable cutter is hydraulically driven to be matched with a fixed cutter to form a shearing pair, the shearing mechanical performance is optimized, the cutting efficiency of a composite cable is improved, a gradual closed shearing force field can be formed during shearing due to the design of an arc-shaped cutting edge of a crescent cutter head, and acting force is evenly distributed along the section of a cable; the cable is especially suitable for a composite cable structure in which an outer sheath and inner tensile fibers are mixed. The guide mechanism forcibly restrains the motion trail of the moving cutter head, it is ensured that the cutting edge is closed along a preset path all the time in the shearing process, precise shearing path control is achieved, and secondary damage is avoided; the self-adaptive cable diameter guide-hydraulic linkage control and guide chute integrated pressure feedback module adjusts the output pressure of the hydraulic system in real time. The limitation of a traditional disposable gunpowder or pull pin type device is broken through, and a modularized shearing unit and a quick reset oil cylinder are designed.

This invention discloses a tunable nanoantenna and its fabrication method, belonging to the field of nanoantenna technology. The tunable nanoantenna comprises, from top to bottom: an ordered metal mesh nanoelectrode layer, Fe... 3 O 4 The invention comprises a magnetic nanosphere layer, a silicon nanopillar micro / nanostructure layer, a substrate layer, and a lower electrode layer. This invention proposes a tunable nanoantenna and its fabrication method. Specifically, this invention combines silicon nanopillars with Fe... 3 O 4 By combining magnetic nanospheres and utilizing their synergistic effect, a composite nanoantenna with magnetic response and optical resonance characteristics can be constructed. This not only breaks through the limitations of single-material control, but also enables more flexible performance control through the dual effects of magnetic and optical fields.

This invention belongs to the field of rock mass engineering technology and provides a three-dimensional fractured rock mass model for visualized grouting observation, including a transparent assembly and a support plate; the support plate and the assembly are detachably connected; the support plate has a semi-closed frame structure, with its bottom edge protruding upwards to form an outer border, and the inner part of the outer border is divided into multiple assembly slots by a grid; the assembly includes multiple assembly groups adapted to each assembly slot; each assembly group has the same number of assembly units, and the assembly units within the same assembly group are coaxially spliced ​​and embedded into the corresponding assembly slots, forming a connected longitudinal fracture group between different assembly groups; a grouting channel penetrating the assembly is set at the intersection of any two longitudinal fractures; the support plate has a docking hole corresponding to the grouting channel. The three-dimensional fractured rock mass model of this invention can freely set the fracture dip direction, dip angle and spatial distribution shape according to actual engineering needs, effectively solving the problem that traditional test models are difficult to reproduce complex fracture boundary conditions.

This invention discloses a high-gravity oil-solid separation device and method. The device comprises two parts: high-gravity separation and membrane filtration separation. The high-gravity separation part includes a device body, an oil slurry inlet, a diluent inlet, a pipeline mixer, a rotating shaft, a liquid distributor, separation components, a slurry enrichment plate, a heavy phase outlet, a centrifugal pump, a light phase outlet, a motor, and a nitrogen inlet. The membrane filtration separation part includes pipelines and sliding baffles, with the pipelines divided into membrane filtration pipelines and diluent inlet pipelines. This invention first discharges most solid particles through high-gravity separation, and then uses membrane filtration separation to improve the solidification effect, overcoming the limitations of a single separation mode, enhancing the separation effect and long-term operational stability, while simplifying the process flow and saving floor space.

The utility model discloses an eye moistening instrument belongs to eye nursing technical field, it is including: main casing, the rear side of main casing is provided with connecting barrel and protective cover, the inside fixed mounting of connecting barrel has connecting cover, the inside fixed mounting of main casing has first inner cover and connecting head, the side of connecting head is provided with spray port, water adding port and water jet, connecting cover and protective cover are detachably connected with connecting head, the inside hoop fixed mounting of first inner cover has water pump. The utility model discloses through integration ultrasonic wave atomization and miniature water pump sprinkling double mode realization atomization eye moistening and pulse water flow flush dual function, break through the limitation of traditional single atomization equipment, and user can one -key switching operation satisfies dry eye relief and deep -cleaning demand, and the rotary buckle locking design of combination detachable connecting barrel and sealing cover ensures the equipment leakproofness and easy clean, avoids cross -contamination and bacterial growth.

The application discloses an in-situ self-generating ceramic particle reinforced low-tungsten-content composite material, and a preparation method of the in-situ self-generating ceramic particle reinforced low-tungsten-content composite material.The low-tungsten-content composite material is composed of the following components in percentage by mass: W 59% to 69%, Ni 21% to 28%, Fe 9% to 12%, and ceramic reinforcing phase 1%.The tungsten content in the material system is greatly reduced, the toughness of the bonding phase is significantly increased, the plasticity and processing performance are improved, the W atoms in the bonding phase are difficult to diffuse to the surface of other W grains during the sintering process, the long-range migration is blocked, the W grain growth is effectively inhibited, the size of the in-situ generated ceramic particles is small, the distribution is uniform, the interface between the metal matrix and the ceramic particles is pure and firm, the strong dispersion strengthening and fine-grain strengthening effects can be produced, and the application of the low-tungsten-content composite material is suitable for the fields of aerospace, radiation shielding and precision instruments.

The application provides a multi-scene disaster risk early warning method and device fusing multi-source vision and deep learning and a storage medium, relates to the field of disaster early warning, and comprises the following steps: calculating the motion intensity of each image frame in a fusion video; acquiring dynamic intensity thresholds of each time window; based on the motion intensity of each image frame in each time window and the dynamic intensity threshold of the corresponding time window, cutting and extracting the corresponding fusion video of each time window to acquire a video segment for dividing a scene boundary; inputting the acquired video segment into a pre-trained disaster classification model to acquire a disaster category vector; inputting the fusion video and the disaster category vector into a pre-trained disaster risk identification model to acquire a disaster category result and disaster risk possibility data; and based on the disaster category result and the disaster risk possibility data, combining disaster risk grading to perform disaster early warning. The early warning method provided by the application can realize rapid and efficient early warning of disasters.

This invention discloses a sequencing technique for enriching mutations after library construction. The co-priming amplification (Co-PCR) technique of this invention couples a mutation probe to a short P5 / P7 primer. This short primer has a low melting temperature (Tm) and cannot hybridize and amplify on its own at the reaction temperature. Only when the mutation probe hybridizes to the mutation site can it assist the coupled short P5 / P7 primer in hybridizing to the adjacent P5 / P7 sequence at the end of the pre-library, initiating amplification. Therefore, this Co-PCR technique not only amplifies a specific mutation in a specified gene but also amplifies from both ends of the original pre-library, replicating the complete sequence information of the pre-library, including sequencing adapters, indexes, and sequencing primers. The amplified products can be directly sequenced after purification. By optimizing the co-primers, Co-PCR enrichment amplification of five sites in the pre-library was achieved, resulting in nearly 100-fold enrichment.

The present disclosure provides a health information generation method, a storage medium and an electronic device, the method comprising: acquiring multi-modal health data of a user, the multi-modal health data comprising at least: basic information data and physiological information data, the basic information data being used to represent personal basic characteristics of the user, and the physiological information data being used to represent physiological state of the user; determining health suggestion information of the user according to the multi-modal health data; and outputting the health suggestion information. In the health information generation method provided by the present disclosure, the device can generate health suggestion information for the current user based on the real-time acquired multi-modal health data. The fusion analysis of the health data of the user in different modes is realized, and the limitation of only processing a single index in the related technical solutions is broken through, and more real-time, scientific and comprehensive health suggestion information can be provided for the user.

This invention relates to the field of renewable energy output prediction technology, and discloses a method, equipment, and medium for renewable energy output prediction based on multidimensional index correlation analysis. The method acquires historical renewable energy output data and preprocesses the data; establishes a multidimensional index system and performs correlation analysis and screening of the multidimensional indicators to determine key influencing indicators; the correlation analysis includes analyzing the linear and nonlinear relationships between the indicators and renewable energy output; constructs a hybrid prediction model based on convolutional neural networks and long short-term memory networks, using the preprocessed data corresponding to the key influencing indicators as input to train and predict future renewable energy output data; wherein, convolutional neural networks are used to extract the interaction features between multidimensional indicators, and long short-term memory networks are used to capture time-series features. This invention improves prediction accuracy and provides reliable technical support for grid connection of renewable energy with high penetration rates.

This invention discloses a method, device, equipment, and medium for monitoring high physiological stress based on rPPG. First, a video sequence containing the user's face is acquired, and the region of interest (ROI) sequence is extracted and input into a deep learning network model. A spatiotemporal encoder extracts preliminary spatiotemporal physiological feature sequences from these sequences. Then, relying on an adaptive frequency-aware decoder, multi-scale parallel processing and dynamic feature fusion are performed on these preliminary spatiotemporal physiological feature sequences to output feature representations of abnormal high-frequency rhythmic events. Finally, a state determiner, combined with the abnormal high-frequency rhythmic event identification results, directly outputs a binary classification result indicating whether the user is in a state of high physiological stress. This invention effectively solves the problem of abnormal high-frequency rhythmic signal loss caused by existing fixed filters, achieving high-precision identification of abnormal high-frequency rhythmic events and accurately determining the user's state of high physiological stress.

The invention discloses a dynamic self-repairing PI-based nano protective coating for a crease-free folding screen. The dynamic self-repairing PI-based nano protective coating is prepared from a polyimide matrix, a dynamic cross-linking agent, self-repairing microcapsules, a surface-modified nano inorganic filler and a surface energy regulator, the polyimide matrix is obtained by polymerizing aromatic dianhydride and a diamine monomer containing a flexible chain segment, and the flexible chain segment comprises an ether bond or a methylene chain segment; the shell material of the self-repairing microcapsule is polyurea or polyurethane, and the core material of the self-repairing microcapsule is a polyimide repairing agent; the surface modified nano inorganic filler is SiO2 or Al2O3 nano particles subjected to surface grafting modification by a silane coupling agent. The preparation method has the beneficial effects that the coating prepared by the preparation method simultaneously realizes the basic performances of high hardness, high toughness, high light transmittance and strong adhesion, has the efficient grading self-repairing capability aiming at damages of different scales, and finally passes more than one hundred thousand times of extreme bending fatigue tests; the problems of balance of multi-performance requirements, single repair mechanism and low efficiency in the prior art are solved.

The invention discloses an astaxanthin liposome-coating probiotic compound system based on an interface free radical quenching and bidirectional coupling mechanism and application of the astaxanthin liposome-coating probiotic compound system in oxidative stress protection, and belongs to the technical field of biological medicines and probiotic preparations. According to the preparation method, probiotics with an iron ion mediated sodium alginate-guar gum coating are constructed, and the probiotics and astaxanthin nano-liposomes form an interface protection layer in a hydrogen peroxide stress microenvironment. Wherein astaxanthin protects the key enzyme activity of a thallus energy metabolism pathway, and the thallus continuously consumes a hydrogen peroxide substrate in the environment through an enzyme system of the thallus. According to the composite system disclosed by the invention, under the condition of no chemical coupling, synergistic enhancement of antioxidant defense and thallus activity can be realized through physical blending, the survival rate and colonization ability of probiotics in gastrointestinal stress are remarkably improved, and an innovative solution is provided for targeted intervention of inflammatory bowel diseases and development of functional probiotic preparations.

The invention discloses a medicinal and edible traditional Chinese medicine composition for postoperative rehabilitation as well as a preparation method and application of the medicinal and edible traditional Chinese medicine composition. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 12 to 27 parts of radix astragali seu hedysari, 2 to 10 parts of radix ginseng, 2 to 10 parts of colla corii asini, 5 to 18 parts of radix angelicae sinensis, 8 to 25 parts of cortex eucommiae, 5 to 18 parts of semen persicae, 23 to 37 parts of small red beans, 8 to 25 parts of pericarpium citri reticulatae, 23 to 37 parts of fructus ziziphi jujubae, 2 to 10 parts of rhizoma zingiberis recens and 8 to 25 parts of semen ziziphi spinosae. The traditional Chinese medicine composition has the effects of tonifying qi and nourishing blood, promoting blood circulation to remove blood stasis and strengthening the spleen and stomach, integrates the effects of tonifying qi and nourishing blood, warming and dredging to remove blood stasis and strengthening the spleen and soothing the nerves in one formula, can cover common deficiency syndrome types, and breaks through the limitation of traditional Chinese medicine individualized dialectical treatment in popularization.

The application provides a kind of mitochondrial function optimization additive for cell culture, preparation method and application, belong to cell culture technical field.The additive includes core active ingredient, auxiliary component and carrier, and the core active ingredient includes D-Arg-Cha-Lys-Phe-NH2 Polypeptide, ubiquinone-10 phosphate, reduced glutathione and alpha-lipoic acid.The application forms a multi-target core active system through the synergy of the four, realizes the triple synergistic protection of stabilizing mitochondrial cardiolipin, maintaining mitochondrial morphology and membrane potential, and reducing mitochondrial ROS, which can significantly improve cell culture quality.When applied, the mitochondrial cardiolipin content can be increased by more than 50%, the mitochondrial abnormality ratio can be reduced to less than 12%, the membrane potential positive cell ratio can be increased to more than 86%, the mitochondrial ROS level can be reduced by more than 40%, and the cell proliferation rate can be increased by more than 25%, which is suitable for in vitro culture of various eukaryotic cells, and the preparation process is simple and has no cytotoxicity.

The application discloses a method and device for constructing a large model based on historical character works and life, which is specially used for constructing a large model for playing a historical character. Through the method, the model can not only generate a text conforming to the style of Su Shi, but also dynamically display the depth of thought and personal characteristics of Su Shi in multi-round conversations. For the knowledge beyond the historical character, the model can also restore the ignorance and confusion of the historical character. The application uses the literary works and life of the historical character to construct a Su Shi conversation data set with cultural depth, fine-tunes the large language model, and breaks through the limitations of the prior art in language generation and knowledge reasoning by constructing a knowledge base of historical character works and life, thereby successfully realizing highly realistic simulation of the behavior, thought and literary style of the historical character Su Shi.

This invention provides a deep learning-based intelligent analysis method for cardiovascular medical images, comprising the following steps: S1, heterogeneous data fusion and acquisition of multimodal medical images and physiological signals; S2, intelligent extraction and quantitative analysis of vascular structural features based on deep learning; S3, hemodynamic parameter modeling and risk region segmentation based on fused structural features; S4, texture feature mining and intelligent identification of lesion types in high-risk areas; S5, cardiovascular disease risk stratification prediction based on multi-dimensional feature fusion; S6, federated learning optimization and closed-loop update of the model. This invention's deep learning-based intelligent analysis method for cardiovascular medical images achieves, for the first time, heterogeneous fusion of medical images, millimeter-wave radar-PPG physiological signals, and clinical molecular data, and achieves precise spatiotemporal alignment through GPS-controlled crystal oscillators, overcoming the limitations of single image analysis and providing a more comprehensive feature foundation for subsequent feature extraction and risk prediction.

This invention provides a comprehensive carbon blending control system and method for sintering. The system includes a batching detection unit, a mixture detection unit, a sintering process detection unit, an FeO detection unit, and a main control unit. The method monitors multi-dimensional parameters in real time and establishes a multi-dimensional dynamic coupling correction strategy for influencing factors such as total Fe content, moisture, particle size, material layer thickness, and sintering endpoint temperature. Combined with intelligent algorithm prediction, dual-closed-loop collaborative control, and precise compensation of feed rate, the method achieves quantitative output of solid fuel feed rate through a comprehensive calculation formula. This invention achieves dynamic optimization and precise control of carbon blending, stabilizes the FeO content of sintered ore, improves sintered ore quality and blast furnace smelting efficiency, balances energy consumption optimization and cost control, and enhances the automation and intelligence level of sintering carbon blending control.

The present application relates to the technical field of Pickleball, and specifically relates to an intelligent wearable system for monitoring sports posture. The system synchronously collects multi-axis acceleration and angular velocity original signals before and after the player hits the ball through the inertial measurement unit built in the wearable device, generates time series after time window interception and normalization processing; removes noise and baseline drift by wavelet transform; fuses time domain and frequency domain features to construct a high-dimensional comprehensive feature vector; realizes preliminary classification of actions through a long short-term memory network, refines similar action types by combining a convolutional neural network, and finally outputs accurate classification results through a support vector machine; dynamically optimizes model parameters based on a real-time feedback mechanism, and enhances local feature representation through a channel attention mechanism. The system can accurately identify more than fifteen Pickleball special technical actions, has high robustness and self-adaptive ability, can provide real-time posture specification guidance for athletes, and helps to improve training efficiency and prevent sports injuries.