36results about How to "Guaranteed retention" patented technology

The invention provides an electrical equipment fault diagnosis method and device based on artificial intelligence, and relates to the technical field of fault recognition, and the method comprises the steps: obtaining historical operation data collected by a sensor installed in a power system, and enabling the historical operation data to serve as an original data set; expanding the original data set; inputting the expanded original data set into a feature extraction model to train the feature extraction model; training a feature dimension reduction model, and training a classifier model; and inputting real-time operation data collected by a sensor installed in the power system into the trained feature extraction model, the feature dimension reduction model and the classifier model in sequence, and outputting corresponding fault categories. The diversity of a data set is enhanced through a data expansion technology, the generalization ability of a model is improved, feature extraction, feature dimension reduction and classification processing are carried out, deep analysis and processing of data are achieved, and therefore the operation state and the possible fault type of the electrical equipment can be judged more accurately.

The invention discloses a zero-day malicious code detection model and method and a model construction device and method, and belongs to the technical field of malicious code detection. According to the model construction method, TransXNet serves as a basic model, training optimization is conducted on the basic model through a training set, then the zero-day malicious code detection model is obtained, diffusion operation is conducted on a visual malicious code image through a diffusion model DDIM, a new malicious code image is generated, and therefore the zero-day malicious code detection model is obtained. And combining the new malicious code image with the original malicious code image to jointly form training set data. By the adoption of the construction method, the detection accuracy and robustness of the model for the zero-day malicious code are improved, the problem of data set imbalance is solved, and therefore an effective technical scheme is provided for solving the problems existing in existing zero-day malicious code detection.

The invention discloses a cold-chain logistics vehicle planning system. The system comprises the following steps of initial population creation, explosion and spark generation, evaluation and selection, genetic manipulation, pheromone updating, termination judgment and optimal solution output. According to the method, a dynamic pheromone updating and path reward and punishment mechanism is introduced through improvement of pheromone updating, so that the convergence speed of the algorithm is accelerated, and the quality of a solution is improved; the exploration depth of a solution space is increased by improving the crossover operation and considering the length and quality of an introduced path; improvement of mutation operation depends on a self-adaptive mutation strategy, the exploration capability of the algorithm is enhanced, multi-objective optimization is introduced into path planning through the improved firework algorithm to consider transportation cost, temperature control and energy consumption management at the same time, and a dynamic adjustment mechanism is combined to cope with frequently changing terrain and climate conditions in the karst landform, so that the development of the karst landform is facilitated. Therefore, the adaptability of the algorithm in a complex environment is improved.

The invention provides a three-dimensional reconstruction method and system in a nuclear irradiation environment, and relates to the technical field of computer vision. According to the method, a Swin Transformer network is adopted to perform feature extraction processing on an original image containing radiation noise, a constructed three-dimensional reconstruction network adopts a U-Net architecture, reservation of detail features is ensured through an encoding-decoding process, after radiation noise processing is completed, an FFB6D network is introduced to directly process a nuclear radiation environment reconstruction image, and the method has the advantages that the method is simple and convenient to operate and high in practicability. The accuracy and the stability of pose estimation under severe visual conditions are improved, and a geometric basis is provided for three-dimensional reconstruction. Model selection and optimization are carried out on all the modules adopted by the system according to the characteristics of the nuclear irradiation environment, technical resultant force is formed, a high-performance and full-automatic three-dimensional reconstruction system specially designed for the extremely severe visual environment such as nuclear irradiation is finally constructed, and the precision, robustness and practicability of three-dimensional perception in the field are remarkably improved.

This application relates to the field of data processing technology, and in particular to a method, apparatus, device, and storage medium for model training and 3D mesh reconstruction, used to rapidly generate high-quality 3D results. The model training method includes: obtaining an initial repair model by distilling a student model to be trained; the initial repair model is used to make the input initial sample set, after M iterative repairs, present the shape of a 3D point cloud corresponding to the initial sample set; obtaining an intermediate repair model by distilling the initial repair model; the intermediate repair model is used to make the input intermediate sample set, after N iterative repairs, present the shape of a 3D point cloud corresponding to the intermediate sample set; and obtaining a target repair model by adversarial training of the intermediate repair model based on the initial repair model, so that the error between the results obtained by repairing the same target sample set using the target repair model and the initial repair model conforms to a preset error range.

The application discloses a multifunctional injectable hydrogel and a preparation method and application thereof, and relates to the technical field of multifunctional hydrogel preparation and application. In the preparation, CMC-AGE and OD-SH are prepared respectively, and DSPE-se-se-PEG@AC NPs nanoparticles are prepared, then the multifunctional injectable hydrogel is prepared by forming a hydrogel through CMC-AGE and OD-SH and adding DSPE-se-se-PEG@AC NPs nanoparticles and / or beta nerve growth factor. The application also includes the multifunctional injectable hydrogel prepared by the above method and the application thereof. The application constructs an in-situ hydrogel delivery platform with good biocompatibility, is used for co-delivery of DSPE-se-se-PEG@AC NPs and NGF, is used in ischemic stroke treatment, and reshapes the pathological microenvironment of a cerebral infarction area, so that cerebral ischemic injury is reduced.

The application discloses a cable cooling device, which comprises a water containing cavity, the two ends of the water containing cavity are respectively provided with an inlet end and an outlet end, the water containing cavity is connected with at least one water inlet end, and the cable cooling device further comprises a cold transfer structure, a plurality of cold transfer rollers are arranged in the water containing cavity, the cold transfer rollers are hollow and internally provided with refrigerant, and the upper end of the cold transfer roller is provided with an upper liquid spraying member; and an internal circulation structure, the internal circulation structure comprises an internal circulation groove located at the bottom of the cold transfer roller, and the projection positions of the cold transfer roller and the upper liquid spraying member are located in the range of the internal circulation groove.

The embodiment of the invention relates to an information recommendation method and device, a computer program product and electronic equipment, and relates to the technical field of computers.The method comprises the steps that sample user data is obtained from a target environment, model parameters of a recommendation model are adjusted based on the sample user data, and a trained recommendation model is generated; performing zero-knowledge certification on the trained recommendation model to determine a certification result; and under the condition that the certification result is that verification is passed, performing feature fitting on user data of a target user based on the trained recommendation model, and determining recommendation information for the target user. According to the method and the device, the recommendation information for the target user can be accurately determined, and precise marketing is realized.

The present application relates to the biological field, and particularly to a weak acid buffer and its use in an immunopeptidome separation reagent, the weak acid buffer comprising amino acids and / or polypeptides, the mass-to-charge ratio of the amino acids and / or polypeptides being theoretically predictable and experimentally reproducible, or the mass-to-charge ratio being beyond the preset acquisition range of a mass spectrometer; the weak acid buffer further comprising a volatile acid, the volume concentration of the volatile acid being 0.01% to 10%; and the pH of the weak acid buffer being 3.0 to 3.5. The weak acid buffer of the present application has high compatibility, can maximally avoid pollution and signal interference to an analysis system, has a simple experimental procedure, and the overall operation can be completed within tens of minutes, thus having low technical threshold and high acceptability; can improve the number of immunopeptide groups identified, thus improving the efficiency of the experiment; and the reagent is cheap and easy to obtain, thus the method has low cost, is suitable for large-scale or even industrial use, has high universality, and the like.

The invention discloses a fault record storage device, an upper computer and a fault record query system, and the device comprises a plurality of first communication interfaces which have different communication protocols and are used for accessing target monitoring equipment so as to obtain a plurality of fault records of the target monitoring equipment based on the corresponding communication protocols; the data processing unit is connected with the plurality of first communication interfaces and is used for storing a plurality of fault records and circularly covering the plurality of fault records based on a storage sequence of the plurality of fault records under the condition that the residual storage space of the data processing unit is smaller than a preset threshold value; the second communication interface is connected with the data processing unit and used for accessing an upper computer so as to send the data messages corresponding to the multiple fault records to the upper computer for a user to inquire, effective storage of the fault records can be achieved only through a single device, then the cost of the fault records can be reduced, and the user experience is improved. And the applicability of the fault record storage device is improved.

This invention relates to a water purification agent with post-adjusted basicity, its preparation method, and its application, belonging to the field of water purification agent technology. The invention provides a method for preparing a water purification agent with post-adjusted basicity, the specific steps of which are: adding a regulator to a water purification agent to obtain a water purification agent with post-adjusted basicity; wherein the water purification agent is an iron salt solution, specifically FeCl3 solution, and the regulator is aluminum citrate solution; or the water purification agent is an aluminum salt solution, and the regulator is at least one of an organic acid and dilute hydrochloric acid. This invention, through the method of post-adjusting basicity, changes the basicity of the water purification agent system, thereby improving the utilization rate of the water purification agent. The prepared water purification agent with post-adjusted basicity ensures water quality treatment effect and stability, and reduces the dosage, thereby reducing the cost of the reagent. In high-alkalinity water bodies, the hydrolysis rate decreases by 50%, and the reagent utilization rate increases to 88%.

The utility model relates to the technical field of automatic jellyfish cleaning, in particular to an automatic jellyfish cleaning device which comprises a cleaning frame and supporting rods, a plurality of supporting rods are arranged on the lower surface of the cleaning frame, fixing rods are arranged among the supporting rods, and a chain conveying belt is arranged in the cleaning frame. A chain conveying belt is arranged on the cleaning frame, a plurality of baffles with the same distance and the same height are arranged on the chain conveying belt, a driving motor is arranged on one side of the vertical face of the cleaning frame, a rotating rod is arranged at the position, close to the round face of the cleaning frame, of the driving motor, and the rotating rod penetrates through the cleaning frame and is connected with a rotating shaft on the chain conveying belt. The equipment is full-automatic in the jellyfish cleaning aspect, is different from a traditional cleaning device, adopts a water flow rolling mode for cleaning according to the floatability of jellyfishes, guarantees the retention rate of the jellyfishes to a certain extent, is further provided with a filtering and collecting device, and is convenient to use. Therefore, the problem that the transmission machine needs to be cleaned after being cleaned is solved.

The utility model discloses a dental spherical attachment negative part replacing device which comprises a connecting rod, a threaded operating handle is arranged at one end of the connecting rod, a ball head is arranged at the top end of the threaded operating handle, the diameter of the ball head is 0.1-0.2 mm larger than the inner diameter of a spherical cap of a dental spherical attachment negative part, and the connecting rod is connected with the connecting rod. The ball head and the threaded operating handle are in smooth transition through an arc chamfer, the ball head and the threaded operating handle are made of stainless steel materials, the surface roughness of the ball head is Ra0.4-Ra0.6 micrometers, and the length of the threaded operating handle is 3-4 cm. The spherical cap is reasonable in structural design, due to the design of the ball head structure, possible damage to the internal structure of the spherical cap when the spherical cap is replaced is avoided, the spherical cap can be rapidly and accurately placed in the clamping groove, needing to be replaced, of the spherical attachment female part, the retention force of the spherical cap is better guaranteed, the replacement time is greatly shortened, and time and labor are saved.

The embodiment of the present disclosure provides an image restoration method based on a text-guided and detail-preserving diffusion model, which belongs to the technical field of image processing, and specifically comprises the following steps: obtaining a preliminary degraded image according to a clear image, encoding the clear image into a latent space through an encoder and adding noise to obtain a noise latent variable; inputting the preliminary degraded image and the noise latent variable into a conditional diffusion model as conditions to predict noise added in the t-th step, calculating a latent variable that preserves details and clarity, and decoding a new degraded image through a decoder according to the latent variable; inputting the new degraded image and the noise latent variable into the conditional diffusion model as conditions again to obtain a final predicted noise, and calculating a loss according to the final predicted noise and a preliminary predicted noise to train the conditional diffusion model; saving the model weight of the trained conditional diffusion model, and completing the image restoration process of a target image by using the inference process of DDIM. Through the scheme of the present disclosure, the restoration efficiency and adaptability are improved.

The invention provides a preparation technology of Zhenwu decoction granules, and relates to the technical field of traditional Chinese medicine, and the preparation technology comprises the following steps: S1, preparing raw materials: poria cocos, radix paeoniae alba, ginger, bighead atractylodes rhizome and radix aconiti carmichaeli; s2, condensation reflux extraction is adopted, water is added into the prepared raw materials for common reflux decoction extraction for 1-3 times, the water adding amount is 6-8 times of that of the prepared raw materials each time, extraction lasts for 0.5-2 hours each time, and the temperature is reduced to 60-70 DEG C; s3, merging the filtrates, concentrating under reduced pressure to obtain an extract with the relative density of 1.10-1.15 (50 DEG C), and performing spray drying to obtain dry extract powder; s4, mixing an excipient with the dry paste powder, and pressing the mixture into granules in a dry granulator; in the extraction process, condensation reflux extraction is adopted, it is ensured that volatile components are reserved in an extracting solution, the extracting solution is rapidly cooled to 60-70 DEG C after extraction is finished, the temperature is controlled to be 60-70 DEG C in the closed storage and vacuum concentration process, and the volatile components and thermosensitive components are reserved to the maximum extent.

The invention relates to the field of volatile oil extraction, and discloses a rhizoma acori graminei volatile oil extraction and use method, which comprises: S1, drying rhizoma acori graminei rhizome at a low temperature, crushing, and screening to obtain rhizoma acori graminei powder; s2, selecting 10-30 parts by mass of rhizoma acori graminei powder, adding a sodium acetate buffer solution with the pH value of 5.0-6.0 into the rhizoma acori graminei powder, stirring, adding 2000-3000U / g cellulase, carrying out enzymolysis at the temperature of 40-55 DEG C for 1-3 hours, and carrying out enzymolysis reaction to obtain a rhizoma acori graminei powder mixture; according to the method, the sodium acetate buffer solution with the pH value of 5.0-6.0 and a proper amount of cellulase are added, and the enzymolysis reaction is carried out at the temperature of 40-55 DEG C, so that the cell wall structure of the rhizoma acori graminei is effectively destroyed, the release of effective components in cells is promoted, the accessibility of the effective components in the subsequent supercritical fluid extraction process is effectively improved, and the quality of the rhizoma acori graminei is improved. Therefore, the total extraction rate is improved, meanwhile, decomposition or denaturation of heat-sensitive components in the traditional heating extraction process is avoided, and high quality of volatile oil is ensured.

This utility model discloses a dispensing mechanism for a cold drink machine, including a dispensing tray, a housing, and a handle. The dispensing tray is installed on the housing, and the handle is installed on the dispensing tray. The dispensing tray has a second dispensing port, and the bottom of the dispensing tray has a dispensing cover with a first dispensing port connected to the second dispensing port. The bottom of the handle has a sealing element and a transmission assembly. The transmission assembly connects the handle and the sealing element, and is used to control the movement of the sealing element. The sealing element is used to control the opening and closing of the second dispensing port. In this utility model, ice cream or smoothies enter the dispensing cover from the second dispensing port and then exit from the first dispensing port at the bottom of the dispensing cover, effectively avoiding the problem of ice cream or smoothies splashing everywhere when pushed out of the freezing cylinder in traditional cold drink machines.

The present invention relates to the field of image processing, and in particular to a system and method for extracting features and generating geographic information images. First, the collected geographic information images are standardized, and multi-scale features are extracted from the standardized geographic information images using convolution kernels. A dynamic feature fusion mechanism is designed, and the weight coefficient of the feature map is adjusted to obtain a fused feature map. Further, the information density of the fused feature map is evaluated, the scale of the feature map is dynamically adjusted, the geographic information image is generated, and the generation strategy and noise vector are adjusted according to feedback information. The present invention solves the problems that the prior art is insufficient in accuracy in extracting complex terrain features, and the quality of analysis and decision-making is limited; the computing resources are consumed too much when processing high-dimensional data, affecting the real-time performance of the system; and the lack of an effective dynamic weight allocation mechanism causes important geographic information features to be not fully utilized, thereby reducing the accuracy of the final analysis results.

The application discloses a principal component analysis multi-bias interaction-based longitudinal federal learning optimization method, an electronic device and a storage medium, and belongs to the technical field of privacy calculation. In order to improve the efficiency of a longitudinal federal neural network model in the case that the capacity of a data set is small, the application trains participating parties including a training initiator and a training assistant, trains data of the training initiator and data of the training assistant by using a forward propagation method, obtains a training result of the forward propagation method, trains the training result of the forward propagation method by using a backward propagation method, and the training assistant and the training initiator respectively update model parameters, so that one round of training is completed. The training is repeated until the training result reaches a precision requirement or a stop condition, and neural network training in a longitudinal federal scene based on multi-bias interaction is completed. The principal component analysis data dimension reduction method is used, so that the filtering function of features is guided by multi-party data information, and the result is more persuasive.

The invention relates to the technical field of machine vision, in particular to a ton bag cargo robust visual detection system based on multi-cluster feature fusion and attitude correction driving. The system comprises a non-local mean value enhancement module, a multi-feature clustering fusion module, a geometric feature extraction module, a dominant attitude clustering module, an attitude correction transformation module and a cargo segmentation judgment module, and non-local mean value filtering is carried out on an original image of the ton bag cargo to obtain an enhanced image; according to the method, the non-local mean value enhancement module and the multi-feature clustering fusion module are carried, efficient enhancement and multi-dimensional feature fusion of the ton bag cargo image can be realized, the fusion segmentation image is generated through spatial alignment weighted stacking of the color clustering cluster and the texture clustering cluster, feature representation of the homogeneous region of the ton bag cargo is more comprehensive and accurate, and the method is more suitable for mass production. The integrity and effectiveness of geometric feature extraction are effectively improved, and the feature analysis capability of the system on the ton bag cargo image is remarkably improved.

This invention discloses a method, apparatus, and storage medium for managing electronic project documentation in investment banking. First, it manages the project documentation directory template based on configurable and version management; then, it binds each stage of the project documentation directory; next, it maintains or rebuilds the project documentation directory; it stores project documentation files; it locks the project documentation directory; and finally, it submits the project documentation for verification. This invention not only enables standardized and customized flexible changes to the project documentation directory but also effectively assists in controlling the correctness and integrity of the project execution process. The coordinated operation of directory locking, documentation storage, and documentation submission effectively controls the execution process, ensuring its correctness and integrity. This invention guarantees the flexibility of investment banking project documentation to adapt to internal and external changes and the standardization of documentation file maintenance, thereby improving the efficiency of investment banking operations and the ability to control risks.

The invention discloses a method for automatically filling in a table based on freemarker, and relates to the technical field of contract generation. The method for automatically filling in a table based on freemarker comprises the following steps: step 1, using the freemarker framework to define table type variables is relatively special, and special syntax needs to be inserted into the specified position in the label, and the normal freemarker framework generates the final document; step 2, first define a mapping relationship between a Chinese description and a table variable, such as ${table variable-asset number} and ${asset.assetNo! '}, in the initial word document stage, the business personnel insert the Chinese description; step 3, convert the word document into an xml file; step 4, traverse the tags inside to see if there is <w:tbl>The tag exists. This method of automatically filling in the table based on Freemarker converts the world document into an XML file and processes the table variables, which reduces the error rate while ensuring the reduction of learning costs and improves the quality of the final generated contract.< / w:tbl>

The application discloses a multi-modal medical recommendation method based on a double-layer gating mechanism and related devices, and relates to the technical field of artificial intelligence medical treatment. The method obtains text data, numerical data and category data of a patient, and pre-processes the data to obtain a data set; the data set is input into a multi-task learning model for training until a training round is reached or a preset condition is met, a trained multi-task learning model is obtained, the multi-task learning model extracts features from the text data, the numerical data and the category data through a text feature branch, a numerical feature branch and a category feature branch respectively to obtain text features, numerical features and category features; the text features, the numerical features and the category features are simultaneously input into a double-layer gating network for mode-level gating and feature-level gating processing to obtain final feature representations; and the final feature representations are input into a multi-task head network to obtain classification prediction results of a plurality of tasks. The application can provide accurate personalized medical recommendations for patients.

The utility model relates to the field of geotechnical engineering investigation, in particular to an exploratory hole positioning identification device which comprises a placer body, an assembly used for bearing positioning identification and a threaded positioning rod arranged in the placer body and used for adjusting the height position of a conical positioning head. The device is provided with the threaded positioning rod, the conical positioning head, the butt-joint clamping groove, the butt-joint clamping block, the supporting sleeve, the resistance rotating shaft and the supporting rod. A proper threaded positioning rod and a proper conical positioning head can be selected according to the size of a current exploratory hole, the conical positioning head sinks into the exploratory hole by twisting the threaded positioning rod for basic positioning, then a supporting sleeve is installed on the periphery of the placer body through a butt-joint clamping groove and a butt-joint clamping block, and then a supporting rod is unfolded; in this way, the four sets of supporting rods enhance the stability of the positioning identification device when the positioning identification device is positioned in an external exploration hole, and the positioning identification device has certain anti-wind and anti-interference capacity.

The present invention relates to the field of data processing technology, and in particular to a label updating method based on LRU, the method comprising: obtaining a number of historical behavior data, determining a number of historical labels and a number of access timestamps corresponding thereto; creating a historical storage linked list based on a number of historical labels and a number of access timestamps; determining an initial update frequency based on a number of access timestamps; collecting real-time behavior data within a preset period of time, determining a user's real-time label; matching the real-time label with the historical storage linked list, and calculating the real-time update frequency according to the matching result; adjusting the historical length based on the initial update frequency and the real-time update frequency, adjusting the historical sorting based on the matching result, and obtaining an update storage linked list; traversing the update storage linked list, performing an expiration detection on the update timestamps corresponding to a number of update labels, and adjusting the update storage linked list again according to the expiration detection result, and obtaining a final storage linked list. The present invention improves resource optimization efficiency.

The utility model discloses a gas chromatography testing device which comprises a chromatographic column and a testing pipe, the chromatographic column is composed of a straight pipe and a bent pipe, one end of the straight pipe and one end of the bent pipe are respectively connected with a first hexagonal pipe, each first hexagonal pipe is connected with an external thread pipe, one end of each external thread pipe is internally provided with a mounting hole, the inner diameter of each mounting hole is larger than that of each external thread pipe, and the other end of each external thread pipe is provided with a second hexagonal pipe. A first clamping ring and a second clamping ring are movably mounted in the mounting hole, a filter membrane is movably mounted between the first clamping ring and the second clamping ring, the cross section of the test tube is T-shaped, a second hexagonal tube is rotatably mounted on the test tube, the cross section of an inner hole of the second hexagonal tube is T-shaped, and the second hexagonal tube is in threaded connection with the first hexagonal tube; according to the utility model, absorbent cotton is replaced by the filter membrane, so that the retention of carbon black in the chromatographic column and the liquidity of liquid after vaporization are ensured, the carbon black is prevented from entering equipment in the testing process, the pressure at the two ends of the chromatographic column is controllable, and the filtering effect is improved.

The invention relates to the technical field of hydropower station site selection, and discloses a hydropower station site selection method and system based on GIS spatial analysis, and the method employs a natural node splitting strategy to split a river reach, calculates the runoff volume, guarantees the reservation of a river reach structure, and optimizes the water resource configuration. The method improves the reasonability and resource utilization efficiency of hydropower station site selection, deduces the layout scheme of cascade hydropower stations through automatic calculation and multi-round optimization in combination with multi-source data such as terrain, hydrology, geology, environmental constraints and the like, ensures efficient utilization of water resources and coordinated operation of a hydropower system, and generates river planning scheme longitudinal profile drawings of different river reaches. According to the method, the problems of errors, scattered point selection results and low visualization degree can be reduced, the site selection and planning efficiency can be greatly improved, a scientific and accurate solution is provided for hydropower development, and sustainable energy utilization is promoted.

The utility model is used for graphite electrode production technical field discloses a kind of energy-saving type graphite electrode production with baking furnace, including base, the upper end of the base is fixed with furnace body, the inside of furnace body and base is provided with heat preservation material changing mechanism, by the way that furnace body and external space are not interconnected when feeding and discharging, reduce the heat loss in the heat exchange process inside furnace body, to reach the purpose of energy saving.The energy-saving type graphite electrode production with baking furnace, by setting heat preservation material changing mechanism in the inside of furnace body and base, make furnace body and external space not be interconnected when feeding and discharging, reduce the heat loss in the heat exchange process inside furnace body, solve the problem of large amount of heat energy loss caused by the violent convection of high-temperature gas in the furnace and external cold air due to frequent opening of furnace door when traditional baking furnace changes material, avoid the temperature drop in the furnace during each material changing process of traditional baking furnace and the additional consumption of about electric energy required for each temperature rising recovery to set temperature.

The invention relates to the technical field of health food, and discloses a polygonatum sibiricum, spina date seed and lily composition for improving sleep quality and application thereof.The composition is prepared from, by weight, 30-50 parts of processed polygonatum sibiricum extract, 20-40 parts of fried spina date seed extract, 15-30 parts of lily extract, 5-15 parts of gamma-aminobutyric acid and 1-5 parts of melatonin. And auxiliary materials acceptable in pharmacy or food science. The processed rhizoma polygonati extract plays a role in consolidating basis, the fried semen ziziphi spinosae extract is longer than nourishing heart and tonifying liver, and the lily extract plays a role in clearing away the heart fire and soothing the nerves for sleep disorder caused by restlessness; meanwhile, gamma-aminobutyric acid and melatonin are scientifically introduced into the formula, the gamma-aminobutyric acid relieves emotion by adjusting a central nervous inhibition system, and the melatonin supplements endogenous melatonin to adjust a sleep-awakening period and forms a multi-target and multi-layer synergistic effect with traditional extract components, so that the sleep disorders of different reasons are comprehensively improved.

The present application belongs to the technical field of automatic detection of textile fibers, and specifically discloses a cashmere and wool microscopic image component detection method and system. The method disclosed by the present application comprises: collecting microscopic images and optimizing quality, proposing an FGD-YOLO model: embedding a FreqBlock module in the backbone network to enhance frequency domain features, introducing a DTSM module at the neck P3 / 8 layer to adaptively select dense / sparse textures, and replacing the original convolution module with a Ghost-PANet lightweight fusion network; the FGD-YOLO identifies fiber categories and masks, counts and measures diameters using the orthogonal skeleton method, and calculates component indicators according to national standards after cycle accumulation and setting of a threshold. The present application significantly reduces the false detection rate and the missed detection rate, and the model parameter quantity is only 2.67M, which can be run in real time on a general CPU, realizing full-process automatic detection. The present application can be widely applied to the detection of cashmere and wool.