485 results about "Snowflake" patented technology

A full-link reconciliation method based on a snowflake algorithm, an apparatus, a device, and a medium are provided. The method includes: responding to a reconciliation request of a cross-border service and acquiring bill source data from a service end; parsing the bill source data, and converting the bill source data into target bill data; calling a reconciliation rule engine to acquire a corresponding reconciliation rule, selecting a corresponding reconciliation algorithm, and performing a full-link reconciliation task on the target bill data to acquire a reconciliation result; transmitting unbalanced data to a corresponding exception processing system for a check processing of abnormal data; generating, based on an optimized snowflake algorithm, a unique target ID to perform a corresponding bill association with the reconciliation result, automatically penetrating, according to the unique target ID corresponding to the reconciliation result, full link data of an information flow and a fund flow, and tracing, according to the unique target ID, a whole process of the corresponding bill flowing between the fund flow and the information flow, to achieve a complete closed-loop of reconciliation.

The invention provides an image snow removal method based on dual-frequency domain enhancement, which adopts a discrete wavelet transform technology to decompose high and low frequencies and fuse high-frequency enhancement features and low-frequency enhancement features after the high and low frequencies pass through a feature enhancement network so as to enhance the recovery of detail textures of a snowflake-degraded image. According to the method provided by the invention, the high-frequency characteristics of the snow degradation image are enhanced by using a differential convolutional network, and meanwhile, the serious degradation influence caused by large-scale snowflakes is reduced by using a low-frequency enhancement network, so that the performance of the snow degradation image in different frequency domains during snowflake removal and image restoration is improved. And meanwhile, global modeling is carried out on a seriously degraded area through a degradation sensing routing attention module, so that seriously degraded snowflakes are further removed more thoroughly.

Disclosed in the present invention are a method and apparatus for performing full-link reconciliation on the basis of a snowflake algorithm, and a device and a medium. The method comprises: responding to a cross-border business reconciliation request, and acquiring bill source data from a business terminal; parsing the acquired bill source data, and converting same into target bill data; calling a reconciliation rule engine to acquire a corresponding reconciliation rule and select a corresponding reconciliation algorithm, and executing a full-link reconciliation task for the target bill data, so as to obtain a reconciliation result; transmitting reconciliation imbalance data to a corresponding exception handling system for checking processing of abnormal data; and on the basis of an optimized snowflake algorithm, generating a unique target ID to associate a corresponding bill with the reconciliation result, automatically penetrating full-link data of an information flow and a fund flow on the basis of the corresponding unique target ID in the reconciliation result, and on the basis of the unique target ID, tracing the whole process of the circulation of a corresponding bill between the fund flow and the information flow, so as to achieve a complete reconciliation closed loop. In this way, the reconciliation working efficiency and data accuracy of the full-link reconciliation of a cross-border business are improved.

The invention discloses a video stream anomaly detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a video stream, and performing picture interception on the video stream based on a preset time interval to obtain multiple frames of images in a first format; performing format conversion on the multiple frames of images in the first format to obtain multiple frames of images in a second format; multi-dimensional anomaly detection is carried out on the multiple frames of images in the second format to obtain an anomaly detection result, the multi-dimensional anomaly detection comprises at least two of lagging detection, blurred screen detection and black screen detection, the lagging detection is used for detecting whether the video stream has a picture lagging condition or not, and the blurred screen detection is used for detecting whether the video stream has a picture lagging condition or not; the blurred screen detection is used for detecting whether the video stream has a blurred screen display fault or not, and the blank screen detection is used for detecting whether the video stream has a blank screen display fault or not. According to the technical scheme, various abnormal conditions of the video stream are comprehensively detected, and the efficiency and accuracy of video stream anomaly detection are improved.

The invention provides a link tracking method and system for a service cluster based on log burying points, and belongs to the technical field of distributed monitoring. According to the method, a link tracking ID is generated through a snowflake algorithm at a starting point of service calling, and service IDs are distributed to micro-service nodes participating in service calling; setting log burying points at the entrance, the exit and the key logic processing points of each service according to preset burying point logic; asynchronously recording link tracking information contained in the service node through the log burying point, and uploading the information to a storage system for storage; according to the link tracking ID and the service ID in the link tracking information, the link tracking information is connected in series, a complete calling link called by the service is restored, and meanwhile a service calling topological graph is generated. According to the method, real link information can be quickly and accurately tracked, and quick retrieval and analysis of a large amount of real-time link data can be supported.

The invention is suitable for the technical field of power distribution network reconstruction, and discloses a snowflake power distribution network dynamic reconstruction method, system, device and medium, and the method comprises the steps: obtaining the basic data of a snowflake power distribution network in a research area; based on the basic data of the snowflake power distribution network in the research area, taking the minimum load balance degree and active power loss as targets, and constructing a load balance-oriented initial snowflake power distribution network dynamic reconstruction model; adopting a second-order cone relaxation technology and a large M method to convert the initial snowflake power distribution network dynamic reconstruction model into a target snowflake power distribution network dynamic reconstruction model of mixed integer second-order cone programming; solving the dynamic reconstruction model of the target snowflake power distribution network; and obtaining a snowflake power distribution network dynamic reconstruction strategy for load balancing based on a solving result. According to the method, the safety and economy of system operation can be considered, load transfer is carried out by comprehensively considering the load conditions of a plurality of superior substations and a plurality of feeder lines, so that the load balancing of the whole network is realized, the solving difficulty is low, and the decision-making time is short.

The invention discloses a unique number generation method and device, electronic equipment and a storage medium, and relates to the field of distributed technologies. The method comprises the following steps: after a number generation device is started, accessing a pre-deployed distributed coordination service cluster, and obtaining an initial machine identifier corresponding to the number generation device from the distributed coordination service cluster; in response to the received serial number generation requests in the high-concurrency environment, determining a timestamp and a serial number corresponding to each serial number generation request; and based on a snowflake algorithm, generating a corresponding unique number for each number generation request according to the initial machine identifier and the timestamp and the serial number corresponding to each number generation request. According to the scheme, the snowflake algorithm and the distributed coordination service cluster are combined to generate the unique number, the generated unique number is shorter, and fewer transmission and storage resources are occupied; and the unique number corresponding to each number generation request can be sequenced through a serial number, so that the method is more suitable for a high-concurrency environment.

The invention provides a snowflake ice making assembly and a snowflake machine. The snowflake ice making assembly comprises: a housing; the evaporator is rotationally arranged in the shell; the sensor is arranged on the shell and is connected with the control module; the top cover assembly is rotationally arranged at the top of the shell and used for opening or closing the top opening of the shell; the front door assembly is rotationally arranged on the front side of the shell and used for opening or closing the opening in the front side of the shell; the triggering mechanism is arranged on the inner side of the top cover assembly or the inner side of the front door assembly; when the front door assembly and the top cover assembly are both closed, the front door assembly or the top cover assembly pushes the trigger mechanism to trigger the sensor, the sensor sends a first signal to the control module, the control module controls the evaporator to rotate, and when the front door assembly or the top cover assembly is opened, the trigger mechanism relieves triggering of the sensor, and the sensor sends a second signal to the control module. And the control module controls the evaporator to stop rotating. The snowflake ice making assembly and the snowflake machine are high in safety performance and convenient to clean.

The invention provides a snowflake identification method based on machine vision and computer equipment thereof. A single-frame image is selected from the video as a to-be-identified snowflake image, edge detection and snowflake particle contour extraction are performed on the to-be-identified snowflake image, and the snowflake particle contours meeting a preset screening condition are used as effective snowflake particles. The snowflake edge is accurately positioned, irregular contour features of snowflakes are separated, feature information can be further extracted, and a quantitative basis is provided for snowflake classification. After the feature information is extracted, the trajectory of the snowflakes can be predicted. If the effective snowflake particles belong to the snowflake trajectory, the snowflake trajectory is updated. According to the method, the snowflake trajectory can be accurately predicted, and errors of the predicted trajectory can be timely found and corrected by judging whether the effective snowflake particles are matched with the snowflake trajectory or not when prediction deviation occurs.

The invention relates to a large-size glass product with a natural ice crystal imitating effect and an industrial casting method of the large-size glass product. The product is a lead-free glass casting with the weight larger than or equal to 100 kg, dendritic crystal-shaped or snowflake-shaped devitrified phases which are formed by growing calcium fluoride as crystal nucleuses and are distributed randomly are arranged in the product, and the three-dimensional aesthetic effect imitating natural ice crystals is achieved. The method comprises the following steps: mixing lead-free glass particles with a calcium fluoride nucleating agent with a specific particle size, and filling a mixture into a special mold with a three-layer composite structure and a temperature monitoring function; and executing a four-stage programmed thermal regulation including melting homogenization, nucleation cooling, isothermal crystallization and super-slow multi-step annealing, wherein the melting and heat preservation time and the maximum thickness of the product meet the quantitative relation of t = k.H. Through systematic collaboration of materials, molds and processes, the technical problems that crystallization in large-size glass is not uniform and cracking is easily caused by thermal stress are solved, high yield and stable mass production of products of 500 kg or above are achieved, and the method is suitable for the fields of high-end buildings, art devices and decoration.

The snow sweeping robot and the snow sweeping system disclosed by the application, wherein the snow sweeping robot comprises: a snow sweeping device, a vehicle body fixedly connected with the snow sweeping device for carrying the snow sweeping device to move, the vehicle body is provided with a battery mounting position for fixing a battery, and the snow sweeping robot further comprises a charging module for charging the battery, and the charging module is arranged at the bottom of the vehicle body to charge the snow sweeping robot from the bottom to the top. The snow sweeping robot disclosed by the application is provided with the charging module on the lower surface of the chassis, so that the whole vehicle body plays a shielding role, and snowflakes cannot fall on the surface of the charging module when it snows, so that the charging module is prevented from being hindered by accumulated snow on the surface.

The utility model relates to the technical field of toys, in particular to an interactive educational toy for children, which comprises a support and a plurality of pressure sensors fixedly connected to the top of the support at equal intervals. And the number of the storage assemblies is multiple, the number of the storage assemblies is equal to that of the pressure sensors, each storage assembly comprises multiple fixing rods and multiple snowflake building blocks, and baffle rings are fixedly connected between the upper end faces of the multiple fixing rods. According to the snowflake building block toy, after a child finishes an educational toy snowflake building block game, parents can guide the child to store and arrange the snowflake building blocks by themselves, the loudspeaker can send out audio frequency to guide and encourage the child to store the snowflake building blocks, and the child can improve color recognition and manual operation ability through interactive storage. And a good habit of self-storage of personal articles can be developed, and a good interactive education effect is achieved.

1. The name of the design product: the main body of the tablet computer protective shell (snowflake). 2. The use of the design product: the overall design product is a protective shell for protecting a tablet computer, and the claimed part is used as the main body of the protective shell. 3. The design points of the design product: the shape of the solid line drawing. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: the design product is a partial design, the claimed part is the solid line part in the view, and the dashed line part is not claimed.

The invention discloses a power customer demand management method, system, equipment and medium based on a data warehouse, and belongs to the technical field of power customer demand management, and the method comprises the steps: collecting multi-source data in real time, carrying out the multi-level verification, carrying out the data cleaning and standardization, integrating multi-dimensional data through a snowflake-shaped data model, and carrying out the management of the multi-dimensional data. And data extraction, conversion and loading are carried out through an ETL process, customer groups are divided by using a clustering algorithm, a regulation and control strategy is generated in combination with a dynamic threshold and a hierarchical competing rule, and parameters are optimized through closed-loop feedback. According to the method, the problem that a traditional method is slow in response in a complex scene is solved, and autonomous evolution of system parameters is achieved by fusing a closed-loop optimization system of incremental learning and attenuation coefficients.

The embodiment of the invention provides a snowflake machine. The snowflake machine comprises a snowflake preparation assembly; the liquid storage box is connected with the snowflake preparation assembly, so that the snowflake preparation assembly can prepare snowflakes based on water provided by the liquid storage box; the liquid supply system is arranged in parallel with the liquid storage box, is connected with the liquid storage box and is used for supplying water into the liquid storage box; wherein the liquid supply system comprises a feed liquid tank and an air pump, the air pump is used for inflating the feed liquid tank so as to convey water in the feed liquid tank into the liquid storage box through air pressure, and the air pump is determined to be opened and closed based on the water level in the liquid storage box. According to the snowflake machine provided by the embodiment of the invention, the water level in the liquid storage box can be controlled, and the snowflake machine is convenient to clean.

The present invention belongs to the technical field of micro-nano materials, and in particular, relates to a chemical self-assembly method of large-sized porous silver, which uses a silver nitrate solution as a precursor reagent, prepares nano silver particles with different morphologies by adding different mixed reducing agents, and self-assembles the generated nano silver particles by controlling the pH value and temperature of the reaction, thereby generating large-sized micron-sized porous silver structures with four different morphologies of pine needles, corals, snowflakes and spheres. Compared with the traditional dealloying method and template method, the chemical self-assembly method of large-sized porous silver provided by the present invention has the advantages of simple operation and short preparation cycle, and can also save certain costs, is more efficient, and is more suitable for large-scale batch production.

The invention discloses a fan blade fault diagnosis method based on soundprint signals, comprising the following steps: collecting fan blade soundprint signals and filtering them; decomposing the filtered soundprint signals into a plurality of intrinsic mode functions by a fully integrated empirical mode decomposition method; converting the intrinsic mode functions into a two-dimensional mirror snowflake graph and normalizing them; optimizing the internal penalty parameters and kernel parameters of a support vector machine by an improved red-billed blue magpie optimization algorithm to obtain an IRBMO-SVM model; inputting the normalized two-dimensional mirror snowflake graph into the IRBMO-SVM model for fault diagnosis; the invention adopts the improved red-billed blue magpie optimization algorithm to optimize the support vector machine, thereby improving the calculation efficiency of the support vector machine and further improving the fault diagnosis accuracy of the fan blade.

The invention discloses an iron-based amorphous alloy abrasion-resistant coating and a preparation method and application thereof. The iron-based amorphous alloy abrasion-resistant coating is obtained from FeCrMoCBSi iron-based amorphous alloy powder through the laser cladding technology, the iron-based amorphous alloy abrasion-resistant coating is composed of a crystalline phase and an amorphous phase, and the crystalline phase comprises snowflake-shaped isometric crystals, carbides and intermetallic compounds. The iron-based amorphous alloy abrasion-resistant coating has high hardness and excellent abrasion and corrosion resistance, the bonding strength of the coating and a base body is good, and meanwhile the coating has excellent corrosion resistance under the static condition and the friction condition.

The invention belongs to the technical field of high-voltage cable accumulated snow thickness detection, and particularly relates to a high-voltage cable accumulated snow thickness detection device which comprises a mounting frame, the mounting frame is mounted on an iron tower, and the upper side wall of the mounting frame is fixedly connected with a controller. According to the invention, when snowflakes fall on the surface of the sample wire, the vibration of the high-voltage cable under strong wind can be simulated, so that the sample wire and the high-voltage cable are in similar vibration frequency and amplitude, the accuracy of the thickness detection of the accumulated snow on the surface of the high-voltage cable is further improved, and when the sample wire is utilized to simulate the high-voltage cable, the detection precision is improved. According to the device, the sample line can keep different sags to bear accumulated snow, the distribution condition of snowflakes on the surfaces of the sample lines with different sags is fully simulated, and when the thickness of the accumulated snow on the surfaces of the sample lines with different sags is detected, the moving path of the laser detection element can be changed along with the change of the sags of the sample line, so that the measurement precision is ensured.

The invention discloses a novel three-dimensional snowflake plate-shaped negative Poisson's ratio structure. A unit cell structure of the novel three-dimensional snowflake plate-shaped negative Poisson's ratio structure is composed of a double-folding bent plate, a trapezoidal bridge, a type I bearing column and a type II bearing column. The thickness of the double-folded bent plate is t, and the length of a middle folded corner is 2t; the included angle between the inner concave plate surface and the adjacent horizontal plane and the included angle between the trapezoidal bridge and the horizontal plane are a; the distance between the starting point of the longitudinal concave part and the I-shaped bearing column and the distance between the starting point of the transverse concave part and the center are both L; the I-shaped bearing column is a cuboid with a square section, and the side length of the bottom surface is d; and the width of the peripheral bent plate is l. The novel three-dimensional snowflake-plate-shaped negative poisson ratio unit cells are of a complete structure formed through transverse rotation and longitudinal array combination, the adjacent unit cells along the diagonal oblique lines share 1 / 2 bent plates, and the unit cell bearing columns and the bent plates adjacent in the vertical direction intersect. The novel three-dimensional snowflake-plate-shaped negative Poisson's ratio structure has an obvious negative Poisson's ratio effect and good energy absorption capacity in the vertical direction.

The invention discloses a supply chain traceability anti-counterfeiting method and system based on cooperation of internal and external codes, belongs to the technical field of supply chain management, and aims to solve the technical problem of how to improve the anti-counterfeiting traceability safety and reduce the cost. Comprising the following steps: for each production batch, generating a unique ID through a snowflake algorithm; generating a private key and a public key for each production batch; for each production batch, constructing an outer code label in a two-dimensional code form based on the batch ID, the outer code ID and the generated outer code signature, and constructing an inner code label in a two-dimensional code form based on the batch ID, the commodity ID and the generated inner code signature; scanning and analyzing the external code label and the internal code label, comparing the regenerated abstract with the original abstract obtained by decryption for the external code, if the comparison result is consistent, returning the supply chain data and recording the scanning record, if the comparison result is consistent for the internal code, returning the commodity information, and if the current internal code label is scanned for the first time, returning the commodity information and recording the scanning record. And marking the associated outer code as invalid.

The invention relates to the technical field of antennas, and discloses a gain-improved antenna for a high-power microwave system and a parameter determination method, so as to synchronously improve the power capacity and gain after selecting an anti-breakdown dielectric substrate with a high dielectric constant. The antenna comprises a gradient feed balun which is carried on the back surface of a dielectric substrate and is connected with an inner conductor probe of a coaxial line, wherein an outer conductor of the coaxial line is connected with a part, which is deployed on the front surface of the dielectric substrate, of a Vivaldi antenna; the dielectric constant of the dielectric substrate is greater than or equal to 10.2; wherein inclined rectangular grooves with the same size and shape are formed in the two sides of the part, located on the front face of the dielectric substrate, of the Vivaldi antenna, and a metasurface unit of a snowflake-like structure is printed in the middle of the upper portion between a left gradual change curve and a right gradual change curve, so that the power capacity in the target working frequency band of the S wave band and the C wave band is larger than 8 MW, and the radiation gain is obviously improved.

The invention discloses a railway power distribution network fault information automatic diagnosis and positioning method and system, and belongs to the technical field of power distribution fault diagnosis and positioning, and the method comprises the steps: employing an auxiliary classification generation adversarial network, obtaining a class-balanced standardized training data set, and carrying out the preprocessing; mapping the preprocessed data in the standardized training data set into a snowflake-shaped SDP image under a two-dimensional polar coordinate system, inputting the snowflake-shaped SDP image into a fault diagnosis model based on a deep convolutional neural network, and outputting a fault section and a preliminary fault distance; constructing a physical circuit model of railway power distribution network distribution parameters, and calculating theoretical simulation voltage and simulation current by using a transmission line equation; and starting iterative correction based on the Pearson's correlation coefficient of each data, and outputting a diagnosis result. According to the method, high-precision, high-reliability and self-adaptive fault information automatic diagnosis and positioning are realized by fusing data enhancement, feature transformation, intelligent diagnosis, physical inversion check and topology self-adaptive adjustment.

The present invention discloses a lightweight photovoltaic cell EL image defect detection method. First, the EL images of solar cells are collected to form a classification data set with only one type of defect and a detection data set containing multiple types of defects. Secondly, a dual residual mask snowflake Gaussian backbone network DRMSG-Net is constructed and trained using a classification head in combination with the classification data set. Then, a classification pruning head is constructed to replace the classification head, and based on the weights of the trained DRMSG-Net, the classification pruning head is trained using the classification data set to obtain the importance scores of each feature channel and prune the feature channels. Finally, the classification pruning head is removed, and a feature fusion network and a classification and regression network are constructed to obtain the defect type and the target box, and they are trained through the detection data set to obtain the defect detection result. The present invention can learn more detailed and complex representations for accurate photovoltaic cell image defect detection.

The invention discloses a semiconductor process cavity structure with cavity self-cleaning function and a self-cleaning method thereof, belonging to the field of semiconductor technology. The semiconductor process cavity structure adds a CO2 cleaning module on the basis of the original cavity structure of the reaction cavity; the CO2 cleaning module comprises: a liquid CO2 source, a gas source, a mixing container and a nozzle; the liquid CO2 source is used to provide liquid CO2; the gas source is used to provide compressed air or inert gas; the liquid CO2 source and the gas source are respectively connected to the mixing container through a passage A; the liquid CO2 and the compressed air or the inert gas are mixed in the mixing container to form a mixed gas mixed with snowflake-shaped dry ice particles, and the mixed gas is respectively connected to a plurality of nozzles installed in a cavity shell and a pipeline through a passage B; the mixed gas is respectively sprayed into the cavity shell and the pipeline through a plurality of nozzles; the invention can solve the problems that the treatment of the accumulated dirt after a long period of running in the reaction cavity is time-consuming and labor-intensive, and the manual cleaning is easy to be not cleaned up, thereby improving the efficiency of the machine.

The utility model relates to the field of liquid drainage, in particular to a liquid drainage structure and a snowflake ice maker, the liquid drainage structure comprises a machine body and a liquid storage disc, the machine body is provided with an ice making groove, and the liquid storage disc is arranged in the ice making groove; a liquid overflow opening is formed in the liquid storage disc, a first overflow pipe communicated with the liquid overflow opening is arranged in the liquid storage disc, and the top end of the first overflow pipe is lower than the edge of the liquid storage disc; and a liquid discharge channel is arranged at the bottom of the ice-making tank, and is arranged below the liquid overflow opening so as to lead out liquid. According to the utility model, concentrated drainage is realized, and overflow is prevented.

The invention discloses a data processing method and device. The method comprises the steps that a multi-frame point set of an original drivable area of a vehicle and inter-frame pose change data of the vehicle are obtained, the point set forms a drivable area of a corresponding frame, and the inter-frame pose change data are obtained through calculation of motion information of the vehicle; projecting the multi-frame point set to a self-vehicle coordinate system of the current frame according to the inter-frame pose change data to obtain a projected point set; mapping the point set after multi-frame projection to a preset grid map, and counting the number of data points of each grid in the grid map; determining noise grids from the grid map according to the number of the data points of each grid; filtering data points in the noise grid from the multi-frame point set of the original drivable area to obtain an updated multi-frame point set; and constructing a drivable area of the vehicle based on the updated multi-frame point set. According to the scheme provided by the embodiment of the invention, snowflake noise and a real obstacle can be accurately identified, and the availability of a travelable area in a snowy environment is improved.

The application provides a laser curtain wall image optimization system and method based on laser ranging analysis, and relates to the technical field of laser curtain walls.The application generates snowflake point probability and non-snowflake point probability by performing probability analysis on a snowflake point set and a non-snowflake point set, improves precision through variance analysis, and introduces a variance analysis module for snowflake points and non-snowflake points, which helps to deeply understand the intensity distribution characteristics of different reflection sources, outputs a reflection intensity threshold based on the size of the variance, optimizes the precision of laser ranging, and effectively identifies laser points that have passed through snowflake reflection and laser points that have not passed through snowflake reflection through the setting of a laser point cloud collection module and a division module, thereby realizing accurate classification of laser data; considering the possible jitter of the laser equipment under the influence of wind, the jitter data of the equipment are acquired in real time through a jitter collection module and an analysis module, and correlation analysis is performed with the reflection intensity threshold, thereby ensuring the authenticity of the data.

1. Name of the design product: Ornament (Snowflake Pyramid Candlestick). 2. Use of the design product: For display and decoration. 3. Design key points of the design product: Lies in the shape. 4. Picture or photograph that best shows the design key points: Perspective view 1.

The festival decorative snowflake tree comprises a supporting base, a supporting rod and a snowflake frame, a positioning pipe is fixed to the middle of the upper end of the supporting base, the supporting rod is arranged at the upper end of the positioning pipe, the snowflake frame is arranged outside the supporting rod, and a decorative lamp strip is installed on the surface of the snowflake frame. Moving rollers are arranged at the bottom of the supporting base, positioning seats are fixed to the upper ends of the moving rollers, and the four sets of moving rollers are symmetrically arranged. According to the festival decoration snowflake tree with the lamp, by arranging the movable rolling wheel structures capable of being stored, the moving convenience of the snowflake tree after assembly can be improved, the situation that the snowflake tree is damaged due to inconvenient carrying is avoided, meanwhile, the movable rolling wheels can be stored after the snowflake tree is moved to a designated place, and the supporting base makes contact with the ground for supporting; and the subsequent placement stability is improved.