419 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.

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 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.

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 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 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 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.

The utility model discloses an evaporator thermal insulation structure of a snowflake machine, which belongs to the technical field of snowflake machines and comprises a barrel-shaped evaporator main body, one end of the evaporator main body is provided with a first rotating shaft, the other end of the evaporator main body is open, and a fixed cover is provided with an end cover which is provided with a second rotating shaft. A first thermal insulation plate and a second thermal insulation plate are arranged at the two ends of an inner cavity of the evaporator body respectively. According to the structure, the temperature isolation function of the first thermal insulation plate and the second thermal insulation plate is utilized to block heat transfer between a high-pressure refrigerant and the two ends of the evaporator body, so that the high-pressure refrigerant can only complete heat transfer with the arc-shaped side face of the evaporator body, and liquid can only frost on the arc-shaped side face of the evaporator body; due to the fact that the high-pressure refrigerant cannot conduct heat transfer with the two ends of the evaporator body, the defect that liquid is frosted at the two ends of the evaporator body can be effectively overcome, cooling capacity waste is reduced, it can be guaranteed that the evaporator body can rotate stably, and practicability is high.

The invention discloses a power grid equipment fault analysis method and device, computer equipment and a storage medium, and relates to the technical field of power grid equipment fault diagnos.The power grid equipment fault analysis method and device integrate various complex and diverse data sources which are widely distributed in a power grid, construct a highly structured and logically clear data architecture based on a snowflake model, and analyze the fault of the power grid equipment. And data related to fault analysis can be quickly positioned from mass data in a short time. Meanwhile, data storage is carried out in the Hadoop distributed file system, the information dimension of fault analysis is greatly enriched by utilizing the powerful distributed storage, data redundancy and fault-tolerant mechanism of the Hadoop distributed file system, and a stable data basis is provided for power grid equipment fault analysis. And multiple complex factors of power grid equipment faults are comprehensively considered, a comprehensive and high-adaptability model system is constructed, various complex fault types can be accurately identified, fault diagnosis errors caused by single or inaccurate models are effectively avoided, and the fault prediction and diagnosis capability is improved especially under the complex conditions of severe weather and the like.

The utility model provides a kind of snowflake ice machine, including, machine body, raw material refrigeration device is equipped in machine body, sand ice head, mechanical arm and cup piece, raw material refrigeration device includes box, main cylinder is equipped in box, condenser and compressor, agitator and discharge passage are equipped in main cylinder, condenser, compressor and agitator are electrically connected with the control system in box, discharge passage is connected with main cylinder and sand ice head, mechanical arm is connected with cup piece;Raw material refrigeration device, sand ice head and mechanical arm are electrically connected with the general control system of machine body.The utility model can refrigerate raw material while also fully stirring it, reduces manual work, realizes the automation of snowflake ice machine work.

The utility model discloses a cooling system and a snowflake ice maker, and relates to the technical field of intelligent household appliances. The condenser is connected with the compressor; a communicating channel is formed in a side plate on any side of the evaporator, and the communicating channel extends towards the interior of the evaporator; the first end of the communicating pipe extends into the evaporator through the communicating channel, a gap is formed between the communicating pipe and the communicating channel, the first end of the backflow pipe is connected with the compressor, and the second end of the backflow pipe is connected with the communicating pipe; the first end of the liquid inlet pipe is connected with the condenser, and the second end of the liquid inlet pipe penetrates through the first end of the communicating pipe and extends into the evaporator; gas generated by the evaporator flows into the communicating pipe through a gap between the communicating pipe and the communicating channel, then enters the backflow pipe through the communicating pipe and flows back to the compressor.

The invention discloses a data warehouse model design method, and belongs to the technical field of data warehouse modeling. According to the method, a dimension modeling method is adopted to construct and analyze a mart model, data is organized into a non-standardized relation model, and the relation between tables is defined through keywords and foreign keys. And designing a dimension table system comprising a product dimension, a calendar day dimension, an institution dimension, an insurance policy attribute dimension and a customer dimension, and a fact table system comprising an insurance claim settlement analysis fact table, a payment analysis fact table, a claim settlement efficiency analysis fact table and a corresponding intermediate fact table. The analysis subject domain data is formatted into a star model or snowflake model, where the analysis fact table is a lightly summarized transactional fact table, and the intermediate fact table is a versioned historical table. According to the method, repeated data construction is avoided through a unified modeling method, and the cost is reduced; an efficient query analysis function is provided by optimizing a model structure; and the data traceability is ensured through versioning management.

The invention discloses a transformer bushing on-line monitoring system and method with a multi-parameter detection function, and relates to the technical field of transformer bushings, and the system comprises a multi-parameter monitoring module which is used for collecting various operation parameters of a transformer bushing; the data preprocessing module is used for performing preprocessing and format conversion on original data; the snowflake model database designs a multi-parameter database of the transformer bushing based on the logic of the snowflake model; the fault identification module establishes a fault identification model by taking data in the snowflake model database as a blue based on a preset rule set; the early warning module is used for warning related workers in an audible and visual alarm or wireless communication mode when a potential fault or an abnormal state is found; the wireless communication module is used for transmitting an original data packet collected by the multi-parameter monitoring module and early warning information generated by the early warning module to a remote monitoring center, and the problems that in the prior art, the detection means is single, and the judgment result has one-sidedness and errors are solved.

The utility model discloses an unmanned aerial vehicle inspection device which comprises an unmanned aerial vehicle body, a shell, a driving mechanism and a swing mechanism, the shell is connected with the bottom face of the unmanned aerial vehicle body, mounting shafts are arranged on the two sides of the bottom face of the shell, the shell is hinged to two arc-shaped protective covers through the two mounting shafts respectively, a mounting shell is arranged on one side of the shell, and the driving mechanism is arranged on the mounting shell. The driving mechanism is arranged in the shell and penetrates through the mounting shell to be connected with the two mounting shafts, a first electric push rod is arranged on the top wall of the shell, the piston end of the first electric push rod is connected with a protective shell, the swing mechanism is arranged in the protective shell and penetrates through the protective shell to be connected with a swing plate, and the swing plate is connected with a camera. Therefore, the camera can be effectively protected in severe weather, so that the camera is prevented from being influenced by external factors such as rainwater and snowflakes, and the service life of the camera is effectively prolonged.

The application discloses a kind of bionics proton exchange membrane fuel cell based on snowflake structure, including bipolar plate, bipolar plate includes the flow field on by 4 flow channel modules combination, each flow channel module includes serpentine channel with import and export, 4 flow channel modules on serpentine channel are sequentially connected to constitute bionic flow channel, flow channel is full in bipolar plate, and then the import of serpentine channel on the first flow channel module forms flow channel entrance, and the export of serpentine channel on the last flow channel module forms flow channel exit.The bionic flow channel of the device has good pressure drop, can make gas distribution uniform, improve the flow smoothness of flow channel, beneficial to discharge liquid water.

The invention provides a high-speed rail track snow depth data monitoring method and system, and relates to the technical field of railway safety, and the method comprises the steps: obtaining a first space angle image and a second space angle image; obtaining snowflake landing parameters; obtaining a balance thickness; obtaining a first snow depth monitoring result; acquiring snow depth sensing data; performing data conversion on the snow depth sensing data after the abnormal data is removed to obtain a second snow depth monitoring result; and carrying out confidence analysis on the first snow depth monitoring result and the second snow depth monitoring result, and carrying out weighted calculation on the first snow depth monitoring result and the second snow depth monitoring result according to the confidence to obtain a snow depth monitoring result, thereby solving the problems that the monitoring equipment is relatively single and the snow depth monitoring result cannot be monitored in the prior art. The technical problem that the accuracy of the snow depth detection result is insufficient due to the fact that the analysis of the monitoring data is not detailed enough is solved, and the technical effects of improving the accuracy of the snow depth monitoring result and improving the monitoring precision are achieved.

The invention relates to the technical field of livestock breeding, in particular to a breeding method of Honghua cattle with high snowflake meat yield. The daily ration containing the grape wine pomace is accurately prepared in different growth stages, and different doses of additives scientifically compounded by multiple functional components are used in a matched mode, so that high-yield and high-quality snowflake meat can be achieved on the premise that the fattening period (18-month-old slaughtering) is shortened.