554results about How to "Fix stability issues" patented technology

The invention relates to the technical field of electromagnetic compatibility optimization design methods, in particular to a system intelligent electromagnetic compatibility optimization design method and system, and the method comprises the following steps: building an electromagnetic simulation unit model of a component, and constructing a component model library; performing interference path analysis on the component model through a path optimization algorithm, identifying key nodes and interference source nodes, and constructing an electromagnetic interference path model; according to the electromagnetic interference path model, carrying out adaptive adjustment on electromagnetic radiation and immunity parameters of system components so as to optimize electromagnetic compatibility; carrying out dynamic prediction and parameter optimization adjustment on electromagnetic compatibility parameters of the system through a deep learning model; the electromagnetic compatibility of the system and the sub-modules thereof is integrally optimized by adopting a progressive feedback adjustment mechanism, and the technical contradiction in the traditional method is effectively solved by introducing innovative mechanisms such as path weight calculation, nonlinear adaptive adjustment and multi-level non-uniform optimization.

The invention discloses a combined visual question and answer method based on core-to-global semantic fusion reasoning, and belongs to the technical field of image and text processing, and the method comprises the steps: obtaining image data and text question data; inputting the image data into the semantic feature extraction model to obtain image global features and visual core features; inputting the text problem data into the semantic feature extraction model to obtain text problem global features and text core features; transmitting the image global feature, the visual core feature, the text problem global feature and the text core feature to a preset multi-modal semantic fusion model to execute multi-modal semantic learning of different levels; fusing the learning results of the single-level language; and according to the target answer prediction vector, calculating to obtain a target prediction answer. According to the method and the device, the technical problems of inaccuracy in reasoning and model instability caused by inaccurate semantic alignment, feature redundancy and noise interference of multi-modal information in the prior art are solved.

The invention relates to the technical field of infrared image recognition, and discloses a hot target extraction method and system based on infrared image recognition, and the system comprises a multi-sensor collection module, a data dimension reduction module, a data verification module, a segmentation optimization module, and a dynamic feedback module. Multi-modal data dimension reduction processing is achieved by collecting infrared images, visible light images and environment dynamic parameters and combining Laplacian feature mapping, and a target area is extracted through geometric verification and topological analysis. An energy optimization model and a distribution alignment method are adopted to complete accurate segmentation of a target area, and meanwhile, segmentation model parameters are adjusted in real time based on environment dynamic parameters, so that the system stability is ensured. According to the method, high-precision and robust extraction of the thermal target is realized in a complex dynamic environment, the problems of fuzzy target boundary, noise interference and insufficient dynamic environment adaptability in the prior art are effectively solved, and the method is suitable for the fields of military reconnaissance, fireproof monitoring, electric power inspection and the like.

The invention discloses a fabric setting equipment running machine parameter optimization recommendation method and device, equipment and a medium, and the method comprises the steps: carrying out the preprocessing and standardization operation of collected fabric setting equipment running machine parameter data, extracting batch process characteristic data, calculating an optimal parameter value according to the process characteristic data of a stable interval, and carrying out the calculation of the optimal parameter value; and associating the optimal parameter value with fabric category information of a batch, matching the fabric category information with process data items in a process library when a new production batch is detected, if the matching is successful, recommending line machine parameter data, and if the matching is not successful, performing prediction through an equipment learning model. According to the technical scheme of the invention, the technological parameters can be quickly output through the system recommendation, and meanwhile, the quality problem caused by personal errors is reduced.

The invention relates to a rapid self-calibration method for field maintenance of a water quality sensor, and belongs to the technical field of water quality monitoring, and the method comprises the steps of starting the water quality sensor, recording initial data, collecting actually measured data, calculating an autocorrelation function, calibrating and adjusting, verifying a calibration result, and recording and reporting. Calibration parameters are dynamically adjusted in combination with on-site environment data, and fault pre-judgment is performed by utilizing machine learning, so that rapid self-calibration without a standard solution is realized, dependence on the standard solution is reduced, the calibration process is simplified, the problem of difficulty in on-site calibration of the water quality sensor is solved, and the accuracy of on-site calibration of the water quality sensor is improved. The method has the advantages of simplicity and convenience in operation, no need of standard solution, adaptability to field environment, real-time monitoring performance and self-adaptability.

The invention discloses a direct-current corona discharge mode recognition method and system based on YOLOv8 and a CNN model, and relates to the technical field of power equipment monitoring. The invention aims to solve the technical problem that the corona discharge phenomenon of high-voltage direct-current electrical equipment is difficult to monitor in real time and accurately classify. According to the scheme, the method comprises the following steps: firstly, shooting a corona discharge visible light image by using a digital single lens reflex camera, and carrying out manual labeling and data enhancement processing; then detecting and positioning a corona discharge source by using a YOLOv8 model; inputting the positioned corona discharge area image into a deep convolutional neural network (CNN) for classification of discharge modes; finally, the output results of the CNN models are fused through integrated learning, and the classification accuracy is improved. According to the method, real-time monitoring and accurate classification of the corona discharge phenomenon of the high-voltage direct-current electrical equipment can be realized, a powerful guarantee is provided for safe operation of power equipment, the operation and maintenance efficiency is remarkably improved, and the equipment fault risk caused by corona discharge is reduced.

The invention relates to the field of sponge materials, and provides an antibacterial degradable sponge material and a preparation method thereof. The material is prepared from protocatechuic acid modified quaternized chitosan, quaternary ammonium salt grafted gelatin, sodium alginate, polyhydroxybutyrate, polycaprolactone, a polylactic acid-glycolic acid copolymer, hexamethylene diisocyanate, a foaming agent, nano cellulose, vitamin E, polyethylene glycol, triethylamine and dimethylformamide. Protocatechuic acid and quaternized chitosan are subjected to amidation modification, and chitosan and gelatin are subjected to quaternization treatment by adopting 2, 3-epoxypropyl trimethyl ammonium chloride, so that the antibacterial property and biodegradability of the material are improved. In the material preparation process, through vacuum degassing, foaming vacuum degree and humidity control and a multi-step drying process, it is ensured that the average pore size of the material is uniform (50-200 microns) and the porosity is high (50%-90%), and the obtained material has excellent antibacterial property and degradability and has wide application value.

The invention relates to the technical field of micro switch production line intelligent scheduling methods, in particular to a micro switch production line intelligent scheduling method and system based on a graph neural network, and the method comprises the steps: obtaining an attribute set of nodes, and constructing a node graph of a production line; the dynamic representation module is used for dynamically representing real-time states of nodes; generating a multi-scale state prediction model based on the aggregation weight matrix, and obtaining a state prediction matrix for predicting the state change trend of the equipment; based on the state prediction matrix, constructing a nonlinear global optimization scheduling strategy, and further optimizing task allocation and resource allocation in the production line to obtain a global optimal scheduling scheme; constructing a layered feedback correction mechanism based on the global optimal scheduling scheme; based on a hierarchical feedback correction mechanism, an intelligent maintenance trigger signal is generated for identifying potential faults and triggering preventive maintenance, deep modeling and state prediction are performed on each node of the production line, and efficient task scheduling and equipment maintenance management are realized.

The invention introduces an unlimited multi-terminal connection Bluetooth audio system based on a broadcast technology, and aims to break through the limitation of a traditional Bluetooth audio system on the equipment connection number and tone quality transmission. By utilizing the technology, the system supports seamless connection with an infinite number of playing terminals, the application range is greatly expanded, and the connection flexibility is improved. The LC3 audio decoding technology integrated in the system significantly improves the quality and efficiency of audio transmission, and ensures excellent auditory experience. Besides, the equipped digital power amplifier and the Bluetooth main control chip allow a user to flexibly process and optimize audio output of each channel through an advanced frequency division control technology, and support independent or combined sound channel output setting. The design of the system not only adapts to household and commercial environments, but also can be widely applied to scenes such as public speech and multi-room music playing, the functionality and operation convenience of the audio system are greatly improved, and the new possibility of the Bluetooth audio technology in multiple scenes is developed.

The invention relates to a nickel-ruthenium composite coating plating method for a molybdenum alloy substrate, which is applied to the field of processing and manufacturing of metal-based molybdenum alloy substrates and comprises the following steps: carrying out surface pretreatment on a molybdenum sheet raw material to obtain a net molybdenum sheet; putting the pure molybdenum sheet into vacuum coating equipment, and starting the vacuum coating equipment to vacuumize to form a vacuum system; and vacuum coating equipment is started for heating, a high-temperature system is formed, the surface of the net molybdenum sheet is coated with a physical vapor deposition method, and the molybdenum sheet with nickel plated on the two faces and ruthenium plated on the single face is obtained. The method has the technical effects that a good coating film is formed on the surface of the molybdenum sheet through a vacuum coating method, the method is green and environmentally friendly, harmful substances are reduced, the adhesive force between the coating layer and the molybdenum sheet is high, the film layer is high in purity and good in quality, and the production quality of the molybdenum alloy substrate is improved. Grease, oxides, residual solvents, impurities and the like on the surface of the molybdenum sheet are cleaned through the surface pretreatment step, the surface quality and binding force of the molybdenum sheet are improved, and the connection firmness of the nickel-ruthenium composite coating on the surface of the molybdenum sheet is improved.

The invention discloses a multi-energy energy management method and a ship, the method is applied to a multi-energy power system comprising a fuel cell, a battery pack and photovoltaic power generation, an energy management optimization model based on model prediction control is established, and the energy management optimization model comprises a prediction model, rolling optimization and a reference trajectory. An energy management strategy is optimized in real time through model predictive control (MPC), conversion and distribution among different energy sources are intelligently managed according to actual energy source requirements and availability, and therefore stable supply of power output is achieved. A multi-energy complementary hybrid power platform is constructed by integrating a hydrogen fuel cell, a lithium battery and a photovoltaic power generation technology, an energy management strategy is optimized in real time through model predictive control (MPC), and efficient and stable use of energy under various navigation conditions is ensured.

The invention provides an automatic driving vehicle high-precision positioning system and method based on AOA and laser radar, a medium and equipment, and the method comprises the steps: S1, receiving a Bluetooth signal transmitted by a vehicle through an AOA module, and calculating the arrival angle of the signal; s2, combining the arrival angle and vehicle position information provided by a GPS module to obtain position prediction; s3, laser pulses are emitted through a laser radar module, reflected signals are received, and point cloud data of the surrounding environment are obtained; s4, comparing the point cloud data with a prior positioning map, determining the number of a grid where the vehicle is located, and obtaining a positioning result through online normal distribution transformation; and S5, based on the information provided by the GPS module and the inertia module, the calculation module optimizes the positioning result to obtain a precision positioning result. The method does not affect the positioning accuracy and stability even in an underground scene, improves the positioning precision, reduces the calculation resource demand, can adapt to a complex environment, and also reduces the dependence on the initial position.

The invention relates to a ship ultra-high pressure water rust removal and wall-climbing cleaning equipment, comprising a cleaning disc, a first rotating wheel, a second rotating wheel and a third rotating wheel of a hub motor type arranged outside the cleaning disc, a magnetic adsorption component and a rotatable ultra-high pressure nozzle component are arranged on the cleaning disc, a first driving mechanism for driving the first rotating wheel and the second rotating wheel to synchronously change direction is arranged between the first rotating wheel, the second rotating wheel and the cleaning disc, a second driving mechanism for driving the third rotating wheel to change direction is arranged between the third rotating wheel and the cleaning disc, a shock absorbing mechanism is arranged between the first rotating wheel, the second rotating wheel and the first driving mechanism, and between the third rotating wheel and the second driving mechanism, a third driving mechanism for driving the second rotating wheel to change direction is arranged between the second rotating wheel and the shock absorbing mechanism, based on the ultra-high pressure water rust removal, a rotating wheel type is adopted to replace a crawler type structure, and a shock absorbing mechanism is carried to obtain better space utilization, which is beneficial to automation efficiency and stability, and meets the application requirements of green ship repair surface treatment.

The invention discloses a rod core, a punching type implant as well as a preparation method and application of the punching type implant. The rod core comprises a drug-containing layer, and the drug-containing layer comprises active drugs and auxiliary materials. The auxiliary materials comprise sustained and controlled release auxiliary materials; the molecular weight of the sustained and controlled release auxiliary material is 10000-10000 thousands; the medicine-adjuvant ratio is 1: (0.01-100); the medicine-adjuvant ratio represents the mass ratio of the active medicine to the adjuvant in the medicine-containing layer; optionally, the rod core of the punching type implant also comprises a boosting layer compounded on the medicine-containing layer. The implant provided by the invention can be suitable for most drugs, and can realize long-acting release of the drugs.

The invention provides a unit cell structure design method and device based on nickel-titanium shape memory alloy, and relates to the technical field of intelligent materials and structures.The method includes the steps that relevant characteristic parameters of nickel-titanium alloy are collected, a mechanical property index, a thermal stability index and a reliability index are generated, and then a phase change temperature index is obtained through comprehensive calculation; and the phase change temperature threshold is corrected, the geometrical shape and the bonding mode of the unit cell structure are determined, and the quasi-zero-stiffness curved beam, the supporting frame and the connecting part of the unit cell structure are optimally designed in combination with the corrected phase change temperature threshold. According to the method, through characteristic parameter pretreatment, mechanical property index calculation and unit cell structure geometric optimization of the nickel-titanium shape memory alloy, the excellent performance under different phase change states is achieved, and the buffering energy absorption and low-frequency vibration isolation functions of the alloy are improved.

The invention belongs to the technical field of food processing of pectin, and discloses limonin-pectin emulsion gel with anti-inflammatory and intestinal probiotic functions as well as preparation and application of the limonin-pectin emulsion gel. The method comprises the following steps: 1) dissolving pectin with the esterification degree of 10-40% and the RGI proportion of 20-40% in water to obtain a pectin solution; adjusting the pH value to 3-6, adding a calcium ion solution, and shearing to obtain pectin sol; 2) dissolving limonin in the oil phase to obtain an oil phase containing limonin; and adding the oil phase containing the limonin into the pectin sol, carrying out shearing treatment, and standing to obtain the pectin emulsion gel loaded with the limonin. The emulsion gel provided by the invention can be independently used as an emulsifier, can stably load limonin, and realizes relatively high embedding efficiency. The emulsion gel disclosed by the invention can be used for remarkably regulating intestinal flora and increasing the content of short-chain fatty acid, and has remarkable anti-inflammatory and prebiotic activity. The emulsion gel provided by the invention is used for anti-inflammatory and intestinal probiotic functional products.

The invention relates to the technical field of fire extinguishing agents, and discloses a thermosensitive lithium battery special fire extinguishing agent and a preparation method thereof.The thermosensitive lithium battery special fire extinguishing agent comprises, by weight, 1-5 parts of a surfactant, 10-25 parts of an aprotic solvent, 2-5 parts of a fire extinguishing agent, 2-5 parts of a microcapsule agent, 3-10 parts of a temperature reducing agent, 2-10 parts of a thermosensitive expanding agent, 1-8 parts of a thermosensitive thickening agent and 70-100 parts of deionized water. According to the special fire extinguishing agent provided by the invention, a thermosensitive expanding agent, a thermosensitive thickening agent and a microcapsule medicament are added into a water-based fire extinguishing agent. And when meeting high temperature of flame, the fire extinguishing agent generates thermal expansion and increases viscosity, so that the adhesive force of the water-based fire extinguishing agent on the surface of the lithium battery is enhanced.

The invention discloses an application layer flow control method based on image network transmission, and relates to the technical field of data transmission and management.The method comprises the steps that a camera SDK is used for creating an acquisition queue containing a buffer in a host application layer, and the host application layer can receive image data sent by a camera through the acquisition queue; the method comprises the following steps of: receiving a buffer, putting the corresponding buffer into a processing queue to inform a user to process, feeding back the condition of the buffer to a camera in real time by a host application layer through a communication link in the process, determining whether to continuously send an image or not by the camera according to a feedback result, and stopping image transmission in time when the buffer capability of a host is insufficient to avoid data loss; in the technical scheme of the invention, a host application layer can feed back the real-time information of the buffer in the acquisition queue to the camera through a link, and when the host does not have a buffer area, the transmission is suspended and the image is stored in the buffer of the camera, so that the flow control from a data source to the application layer is realized; the problem of transmission stability in network industrial camera application is effectively solved, and the network transmission reliability is improved.

The invention provides a curcumin-antibacterial peptide-tetrahedral framework nucleic acid compound as well as a preparation method and application thereof, and belongs to the field of medicines. The curcumin-antibacterial peptide-tetrahedral framework nucleic acid compound is a compound prepared by taking curcumin, antibacterial peptide and tetrahedral framework nucleic acid as raw materials. Cell experiments show that the curcumin-antibacterial peptide-tetrahedral framework nucleic acid compound can significantly improve the osteogenesis activity of periodontal ligament stem cells, recover the mineralization activity, reduce the oxidative stress level and inhibit the occurrence and development of inflammatory reactions. Animal experiments show that the curcumin-antibacterial peptide-tetrahedral framework nucleic acid compound can significantly reduce loss of alveolar bones of periodontitis rats, inhibit the inflammatory state, promote osteogenic activity, recover the structure and quality of the alveolar bones and effectively treat periodontitis. The curcumin-antibacterial peptide-tetrahedral framework nucleic acid compound provided by the invention has a wide application prospect in preparation of drugs for preventing and / or treating periodontitis.

The invention discloses a sampling-free sample preparation cross-belt coal quality online detection LIBS (laser-induced breakdown spectroscopy) spectrum system which comprises a belt conveying system and an optical detection system, and a laser range finder is arranged on a branch conveying belt; and the laser range finder is used for detecting and recording the height of the coal in the detection area on the branch conveying belt. An optical detection system based on the LIBS technology is directly erected on the coal conveying belt, the problems that the speed of the conveying belt is high and real-time sampling detection cannot be achieved are solved, rapid and real-time cross-belt coal quality quantitative analysis with high sampling rate is achieved, and the detection accuracy is improved for the problem that the spectral stability is affected by the height change of coal on the belt. And the focal length of the LIBS detection system is quickly adjusted through the height of the sample in the detection area recorded by the laser range finder, so that the stability of the spectrum is improved.

The invention provides a natural amphiphilic lignin nanoparticle emulsifier for an oil-based drilling fluid as well as a preparation method and application of the natural amphiphilic lignin nanoparticle emulsifier, and belongs to the technical field of oilfield chemical drilling fluids. The preparation method of the emulsifier comprises the following steps: fully dissolving alkali lignin in an organic solvent; filtering, dropwise adding filtrate into deionized water, fully dispersing, and dialyzing; and then carrying out ultrasonic treatment, centrifuging, washing and drying. The emulsifier takes the biomass-based polymer industrial alkali lignin as a raw material, and is green, non-toxic, cheap and easy to obtain; the preparation method is simple, short in period and free of harmful by-products, the organic solvent can be recycled, and the cost is low. The lignin nanoparticles are added into the oil-based drilling fluid as an emulsifier, so that the stability of the oil-based drilling fluid under a high-temperature condition can be remarkably improved; a compact interfacial film can be formed at an oil-water interface, and a three-dimensional network structure with viscoelasticity can be formed in a continuous phase, so that the stability of a water-in-oil emulsion is improved.

The invention discloses a dual-channel system for an inspection robot and a communication method, and ensures stable communication of the inspection robot in a complex and severe environment by adopting a dual-channel design. According to the technical scheme, redundancy guarantee is provided through two independent wireless paths. When one path breaks down or the signal quality is reduced, the system can be automatically switched to a redundant channel, the problems of signal interruption and data loss frequently occurring in a traditional communication system are avoided, and therefore the continuity of inspection tasks and reliable transmission of data are guaranteed. The dual-channel system provided by the invention not only solves the problems of unstable communication and signal interruption in the prior art, but also improves the reliability and efficiency of data transmission, ensures the stable operation of the inspection robot in different complex environments, and greatly enhances the intelligent level and safety of industrial inspection operation.

The invention belongs to an automatic control technology, mainly relates to the field of agricultural vehicle automation, and particularly relates to a vehicle front wheel turning angle detection method and application. A method of estimating a tire angle based on a rate of change of a steering wheel angle is provided. According to the method, the change rate of the steering wheel turning angle is used as an input quantity, a mathematical model of a vehicle steering system is established, and the vehicle body absolute turning angle calculated through vehicle kinematics is used as a measurement quantity to calculate the tire turning angle. Accurate and high-stability front wheel steering angle detection can be provided under the condition of high-speed operation of an agricultural vehicle.

The invention relates to the technical field of new energy regulation and control, and provides a photovoltaic energy storage system regulation and control method and system based on multiple time scales. The method comprises the steps that in a short time scale, if power grid frequency fluctuation exceeds a set threshold value, a photovoltaic energy storage system conducts regulation and control so that the power grid frequency can be stable; based on the meteorological data and the illumination intensity of the medium time scale, adopting an illumination intensity prediction model to predict the illumination intensity of the medium time scale in the future; based on the meteorological data, the illumination intensity and the power grid power-on data, predicting the power grid demand of the time scale in the future by adopting a power grid demand prediction model; if it is judged that the illumination intensity fluctuation range of the time scale in the future exceeds the key threshold value, the charging and discharging states of the photovoltaic energy storage system are adjusted in advance; and acquiring long-time-scale meteorological data, power grid load change and electricity price trend, solving by taking profit maximization as an objective function and a constraint condition, and outputting a solution for regulating and controlling charging and discharging of the photovoltaic energy storage system.

The invention relates to the technical field of oral solid preparations, in particular to a high-bioavailability coenzyme Q10 tablet and a preparation method thereof. The coenzyme Q10 tablet comprises an active component coenzyme Q10, a filler, an adhesive, a disintegrating agent, a lubricant and a high polymer material, compared with the prior art, hydroxyethyl methylcellulose and hydroxypropyl methylcellulose succinate are mixed according to a certain mass ratio to serve as a high polymer carrier material, the prepared coenzyme Q10 tablet can be rapidly dissolved out in vitro, and the coenzyme Q10 tablet has the advantages that the preparation process is simple, and the cost is low. Moreover, the stability of the medicine can be improved, the medicine can be rapidly absorbed in vivo after being orally taken, the oral bioavailability of the coenzyme Q10 is greatly improved, and a preparation process of the preparation is simple to operate, good in reproducibility and suitable for industrial production.

The invention discloses a monochromator preparation method and a monochromator, and belongs to the technical field of synchrotron radiation. The method comprises a crystal polishing step, a step of calibrating an intersection line of a crystal lattice surface and the crystal surface and cutting to enable the calibrated crystal lattice surface and the crystal surface to be approximately parallel, a step of polishing the crystal surface to enable the crystal surface to be completely parallel to the crystal lattice surface, a bonding step and a detection step, and the monochromator is prepared by using the method. According to the invention, a bonding technology of two crystals with perfect surface polishing and a high-precision polishing method of the crystals are utilized to prepare a bonding type channel-cut monochromator device capable of being used for perfect X-ray imaging, and the problems of stability and non-uniform light beam distribution in an existing monochromator are solved.

The invention provides a traction device and a control method.The traction device comprises a support, a sliding assembly, a linear motor and a clamping mechanism, the support is arranged on a traction plane, the sliding assembly is limited to move in the direction parallel to the traction plane, the traction end of the linear motor is connected with the sliding assembly, and the sliding assembly is dragged through controlled movement of the traction end; therefore, the clamping mechanism and the clamped tool move along with the sliding assembly. According to the traction device, due to the fact that the linear motor is matched with the sliding assembly, the problems that a traditional driving mode is insufficient in load capacity and limited in power output are solved, the limiting moving direction of the sliding assembly ensures that the tool is stable, further, the clamping mechanism ensures that the tool does not generate displacement or positioning errors in the clamping state, and by means of the technical means, the machining efficiency is improved. The problems that an existing traction device is insufficient in load, low in efficiency, poor in stability and inaccurate in tool positioning in the heavy tool traction process are effectively solved.

The invention discloses a preparation method of a rod-like selenium nano-carrier, and belongs to the technical field of nano-pesticides. The rod-like selenium nano-carrier is formed by converting chitosan modified amorphous selenium (a-Se) into single crystal ash selenium (t-Se). The amorphous selenium is initially spherical, and after chitosan modification, the spherical amorphous selenium is converted into single crystal ash rod-shaped selenium nanoparticles. The length of the rod-like selenium nano-carrier is 590-610 nm, the diameter of the rod-like selenium nano-carrier is 20-25 nm, the effective average particle size of the rod-like selenium nano-carrier is 90-110 nm, the drug loading rate is 39.28% + / -2%, and the encapsulation efficiency is 64.90% + / -3%. In addition, the invention also provides an application of the rod-like selenium nano-carrier in a nano bactericide material.

The invention relates to the field of pharmaceutical preparations, in particular to water-free swallowing granules and a preparation method thereof. The water-free swallowing granules provided by the invention comprise drug-containing taste-masking granules and a taste-modifying material, and the drug-containing taste-masking granules are prepared from drug-containing pellets and the taste-masking material; the raw material of the drug-containing pellet comprises an adhesive, and the adhesive is selected from one or more of povidone, hydroxypropyl methylcellulose, methylcellulose, hydroxypropyl cellulose or starch slurry; the weight ratio of the drug-containing pellet to the taste masking material is (2-10): 1; the taste masking material comprises a coating component and an anti-sticking agent, wherein the coating component is selected from one or more of ethyl cellulose, cellulose acetate, cellulose acetate phthalate, cellulose acetate butyrate, hydroxypropyl methyl cellulose phthalate and carboxymethyl ethyl cellulose; the anti-sticking agent is selected from one or two of lauryl sodium sulfate and talcum powder, and the obtained water-free swallowing granules are easy to swallow and good in stability.

The invention discloses a preparation method and application of a fish I-type collagen sodium alginate supramolecular assembly, fish processing byproducts are used as raw materials, and the fish I-type collagen is prepared by an acetic acid extraction and salting-out column chromatography purification integrated technology. The preparation method comprises the following steps: by taking fish type I collagen as a raw material, adding sodium alginate, and carrying out composite reaction, so as to obtain a mixed solution of the fish type I collagen, the sodium alginate and the fish type I collagen sodium alginate supramolecular assembly; and purifying the product by using a salting-out membrane separation integration technology to obtain the fish type I collagen sodium alginate supramolecular assembly. The fish type I collagen sodium alginate supramolecular assembly prepared by the invention keeps a triple helix structure of the type I collagen, shows good biocompatibility, and solves the application bottleneck problems of poor solubility and stability of the fish type I collagen and the like; the composition has the advantages of excellent solubility, high thermal stability, remarkable anti-wrinkle and moisturizing effects and good safety, so that the composition is very suitable for being applied to the field of anti-aging cosmetics.