40results about How to "Quick comb" patented technology

The present invention relates to a platform and a usage method thereof, concretely to a public service platform and a usage method thereof. The platform comprises a terminal and a cloud server; the terminal includes a PC terminal and a mobile terminal, wherein the PC terminal and the mobile terminal form a presentation layer; the cloud server includes a logic layer and a data layer; and the data layer, the logic layer and the representation layer form the whole framework of the public service platform, and the whole framework of the public service platform includes two processes of content publishing and order processing. The present invention provides a product display and selling mode similar to a traditional supermarket, and divide a large-scale application business flow management software implementation process with long period, high cost and big risk into a gradually advanced iterative implementation process with short period, low cost and small risk; and moreover, through providing a service platform, the normalized flow correlation product selling, the standardized requirement customization service, standardized order processing and the pre-sales and after-sales service flows, the problem of the traditional offline implementation service of the BPM industrial field is solved, and the cost and risk of supplying to both parties are reduced.

The invention discloses a 3D modeling and data monitoring system for existing underground pipelines, which includes an information detection unit, a data acquisition unit, a database unit, a building underground pipe network 3D model construction unit, an underground pipe network information management unit, and a monitoring terminal. The information detection unit includes a valve sensor, a liquid level sensor and gas monitoring equipment. The underground pipe network 3D model construction unit includes an information acquisition module, a 3D scene construction module and an information sending module. The underground pipe network information management unit is used for storing basic information and fault and maintenance information of an underground pipe network. With the 3D modeling and data monitoring system of the invention, the underground pipe network system can be monitored in real time and managed and controlled. A 3D model is constructed for the complex underground pipe network system, which enables management personnel to organize pipe network information quickly, and improves the efficiency of management and maintenance.

The invention discloses an artificial intelligence prediction model construction method applying global big data of a power distribution network. The invention discloses an artificial intelligence prediction model construction method applying global big data of a power distribution network. The method is characterized by comprising the following steps; constructing an artificial intelligence prediction model based on the global big data of the power distribution network; various models of deep learning are adopted; information is obtained from different platforms and devices such as various online monitoring systems, unmanned aerial vehicles or robot inspection systems, PMS production management systems, OMS systems, monitoring systems, electric energy management systems and intelligent interruptions. By considering the load change trend, the feeder line transfer capability, the post-accident electric quantity loss rate, the post-accident electricity consumption household number loss rate and the important user influence degree, the risk prediction analysis is realized, the risk sources of historical risks can be counted, and the risk source influence importance degree sorting is realized.

The invention discloses a metadata management method and system based on templates. The method comprises the steps that table templates are created according to historical table data, wherein the table templates comprise concrete objects and formats thereof; a database dictionary is established, wherein the database dictionary comprises a corresponding relation between abstract objects and the concrete objects; a table file is received, and a template is selected according to table content; concrete objects in the table file are read, and matching is performed on each concrete object and the corresponding abstract object based on the database dictionary; and after matching succeeds, the table file is stored according to the format defined by the selected template. Through the metadata management method and system, association among the concrete objects, the templates and the abstract objects is established, and quick formatting of tables and cross-table condition query are realized.

He present invention relates to a method and a device for quantification of a vehicle noise modulation problem which can solve the problem that the consumed time is much because a filter playback means is employed to determine the modulated noise problem frequency bands and the optimization degree of the noise modulation problem depends on engineers' subjective judgment in the prior art. The method for quantification of a vehicle noise modulation problem comprises the steps of: performing multi-band frequency band-pass filtering processing of original modulated noise to obtain a plurality of first noise after band-pass filtering; performing Hilbert transform for the first noise to obtain envelope lines corresponding to the first noise; performing Fourier transform for the envelope lines corresponding to the first noise to obtain the main amplitude modulation degrees of the envelope lines, corresponding to the first noise, at different moments; and determining the original modulated noise problem frequency bands and the modulation degrees thereof according to the main amplitude modulation degrees of the envelope lines, corresponding to the first noise, at different moments.

The invention belongs to the field of data search, and provides a multi-source database global search method and system. The multi-source database global search method comprises the steps: gathering and writting table fields in a multi-source database into a database dictionary table for field management; automatically processing table fields in the multi-source database according to a self-defined global search automation rule to generate a global search database dictionary table; taking a union set of a global search field and a global display field in the global search database dictionary table, dynamically generating a full-text retrieval data storage structure by taking the union set as a reference, and taking an original library table name as an index and a type; synchronizing all the original library table data which can be globally searched into a service database; and performing engine analysis on the business database according to the database dictionary table and the full-text retrieval data storage structure, and sending an analysis result to a front-end page for display.

The invention discloses a path discovery method and device based on a knowledge graph. The method comprises the steps: constructing the knowledge graph which reflects a character relation network based on the information data of people, events, places, objects and organizations; receiving attribute values of a starting point entity and a target entity and a maximum depth parameter N, finding out the starting point entity in the graph according to the attribute value of the starting point entity, and finding out a relationship network extending outwards to traverse N layers by taking the starting point entity as a starting point based on a knowledge graph of a character relationship network as a sub-graph; traversing in the sub-atlas, searching all paths containing the target entity, and taking the paths as a path set; and drawing a relation graph from the starting point entity to the target entity according to the path set, and displaying the relation graph to a user. According to the method, through graph traversal query, the efficiency is thousands of times or even tens of thousands of times of that of a traditional relational database, and the efficiency is remarkably improved in a path discovery analysis scene.

The invention relates to the field of edible fungus processing, and particularly relates to an edible fungus stringing device. The edible fungus stringing device comprises a support frame, a needle mushroom debris collecting box and the like; and the needle mushroom debris collecting box is arranged at the right part of the front of the support frame. Roots of needle mushroom are cut in equal thickness by a wedge-shaped cutting mechanism, and an arc-shaped pushing mechanism and an auxiliary needle separating mechanism are linked to push and feed the needle mushroom at constant speed and teasedisordered fruiting bodies at the upper part of the needle mushroom respectively, the condition that barbecue cannot be performed due to ripping of the fruiting bodies during slicing of the needle mushroom is prevented, single fast straight stringing of the needle mushroom is completed by a bamboo stick pushing mechanism and a bamboo stick single rotation conveying mechanism, the problem that bamboo sticks prick slantwise easily to wound hands during manual stringing is solved, and the effects of wedge-shaped equal thickness cutting, fast single stringing and complete slicing on the needle mushroom are achieved.

The invention discloses a query analysis system based on a knowledge graph, and the system comprises a voice recognition module which is used for converting voice spoken by a user into characters; thequery analysis module is connected with the voice recognition module and is used for understanding the problems described by the user and obtaining a result based on query analysis of the knowledge graph and the legal domain ontology model; and the result output module is connected with the query analysis module, converts the result into a natural and smooth language through speech synthesis, andreturns the natural and smooth language to the user. According to the system, a software and hardware combination mode is adopted; the foreground displays the data analyzed and processed by the background to the user; by utilizing the knowledge graph and the legal field ontology model, accurate analysis can be performed according to information provided by a user, corresponding laws and regulations are provided for the user, meanwhile, due to the fact that the intelligent analysis function is achieved, judgment and analysis can be performed through the information input by the user, and related laws and regulations and related criminal penalty information are displayed.

The eyelash comb of the present invention is comprised of two curved limbs joined or hinged at one end. Each limb has a toothed section for combing the eyelashes. The teeth are triangular and so positioned on the each toothed section that they intermesh when the limbs are pressed closed. A resilient material can be used as a spring to aid in keeping the limbs apart when no pressure is applied to the limbs. A critical aspect of the invention is that it is advantageously made of cardboard or cardboard like material,

The invention discloses a constant value checking method based on a mobile application. The constant value checking method based on a mobile application includes the following steps: 1) compiling transformer station equipment operation constant value orders and saving the transformer station equipment operation constant value orders in a constant value checking management system, and establishingorder number archives of the regional power grid constant value orders; 2) starting a constant value order flow management work order and transmitting the constant value order to the transformer station field and the work area field at the same time, wherein the field operation personnel saves the constant value orders and determines the constant value work order; 3) starting a secondary mode workorder while the field operation personnel executes transformer station equipment constant value input or adjustment and determines the secondary mode work order after the work is completed; and 4) starting constant value checking, completing constant value order number checking and constant value content checking, and saving the transformer station equipment information acquired by the field operation personnel. The constant value checking method based on a mobile application utilizes a mobile interaction platform to establish a constant value checking management system, automatically checksthrough the constant value order QR-code or bar code to realize automatic closed loop management of inquiry, flowing, checking and archiving of the constant value orders, and can replace a traditionalartificial constant value checking method.

The invention relates to the technical field of power grids, and discloses an artificial intelligence prediction model construction method applying full-service big data of a power distribution network, which is characterized by comprising the following steps of: 1) data preprocessing: selecting service data of power distribution network services for analysis and verification, and dividing an overall data set into a training set and a test set, wherein the characteristics are transaction data and technical indexes, the transaction data needs to be subjected to normalization processing, the technical indexes are obtained through calculation of the transaction data, and a normalization process is included in a calculation process. According to the artificial intelligence prediction model construction method applying the power distribution network full-service big data, power distribution network reliability weak points, high-loss points and potential safety hazard points can be accurately positioned and graded, power distribution network fatigue aging and potential quality hazard equipment are rapidly sorted, operation and maintenance key lines and equipment are comprehensively mastered, and a guidance basis is provided for a power distribution network technical improvement scheme.

The invention provides a jacquard lint and a preparation method thereof, and aims at solving the technical problems that an existing lint structure is too simple, and does not have the characteristics of corrosion resistance and high and low temperature resistance, can only be used in a single environment, and is poor in practicability, free of a preparation method and the like. The jacquard lint comprises a lint layer; the jacquard lint is characterized in that an isolating layer is fixed on the lint layer; the isolating layer is prepared from the following components in parts by weight: 30-45 parts of polyvinyl formal, 10-16 parts of polytetrafluoroethylene, 2-4 parts of an anion penetrant, 2-3 parts of a catalyst and the balance of water. The jacquard lint has the advantages of high practicability and high production efficiency.

The invention discloses an optical distribution network (ODN) resource combing method, device and system. The method comprises the steps of obtaining field data, wherein the field data comprises information of field optical splitters to be combed, information of an optical line terminal (OLT) connected with the optical splitters, and a corresponding relationship between the optical splitters and OLT ports; obtaining resource management data from a resource management system, wherein the resource management data comprises the information of the optical splitters, the information of the OLT connected with the optical splitters, and the corresponding relationship between the optical splitters and OLT ports; proofreading the resource management data by taking the field data as reference; and reporting a proofreading result to the resource management system, wherein the proofreading result comprises the information of the optical splitters, the information of the OLT connected with the optical splitters, and the corresponding relationship between the optical splitters and OLT ports, before and after the proofreading. According to the method, the device and the system, resources in an optical distribution network can be automatically combed and proofread.

The invention relates to the technical field of textile fabric carding, in particular to rapid carding equipment for textile fabrics. The rapid carding equipment comprises a carding bearing table, a driven rotating roller member, a guiding ironing member, a telescopic switching device, a touch hair-scraping carding device, an extrusion carding device, a spacing adjustment bearing device and a driving winding and collecting device. Rolled textile fabrics are placed on a bearing vertical cavity, then the textile fabrics are wound on another collection roller, the collection roller is slidably connected to an inserting and connecting square column, the textile fabrics are wound and collected, when the textile fabrics are collected, two hair-scraping plates are used for treating hair bulbs onthe textile fabrics into a garbage can for storage, two extrusion carding rollers are driven to rotate, at the moment, two groups of carding extrusion heads can further rotate, so that the two groupsof rotating carding extrusion heads extrude the textile fabrics, patterns on the textile fabrics can be recovered in the extrusion process, and thus the textile fabrics can be rapidly carded.

The invention discloses a construction method of a time axis tool for security risk analysis, research and judgment. The method specifically comprises the following steps: searching related event data of a certain stock on the security market; construction of event database, classifying the event data according to risk types; analyzing the various event data according to respective evaluation models to obtain evaluation results corresponding to the various event data, and marking the evaluation results on corresponding time price points on the K-line graph of the corresponding stock with thesame marking color of the evaluation results of the same risk type. According to the method, a new information display and visual analysis mode is created mainly by combining a K-line graph based on quantity and price with a risk event.

The invention provides an alarm log processing method and system, and the method comprises the steps: displaying an alarm log message configuration interface, and receiving a first configuration operation on the alarm log message configuration interface; compressing the first alarm log message based on the first configuration operation to obtain a second alarm log message; and outputting the second alarm log message compression rule. According to the embodiment of the invention, the processing efficiency of the alarm log message can be effectively improved, and the workload of operation and maintenance personnel is greatly reduced.

The invention discloses an INVENTOR-based structural hierarchical modeling method for bridge tube maintenance process, which comprises the following steps of: carrying out structural hierarchical division on an object to be modeled, and establishing a bridge structural tree from top to bottom; according to the bridge structure tree, the bottom members of the bridge being built from the lowest level; according to the content of the penultimate level in the bridge structure tree, loading the bottom layer. Ipt file and assembling it to build all the models of the penultimate level in the bridge structure tree; all the models of the bridge structure tree being built from bottom to top; checkng the established model to adjust the hierarchy for artifacts that are not hierarchically modeled and artifacts that are incorrectly hierarchically modeled, and finally exporting the IFC format file. The method enables each level component in the BIM model to be disassembled separately, each level component to carry respective related information separately, and integrates the whole bridge model, which not only solves the needs of multi-level evaluation of bridge maintenance management, but also reduces the workload and saves manpower and material resources.

The invention relates to the technical field of lawn maintenance, and discloses an efficient lawn combing machine for lawn maintenance. The efficient lawn combing machine comprises a frame, a case is arranged at the upper end of the frame, a seat is arranged at the upper end of the case, a handlebar is arranged at the right side of the frame, and a combing mechanism is arranged in the frame; and a water tank is fixedly arranged at the left side of the upper end of the frame, a water injection pipe is arranged at the upper end of the water tank, a maintenance mechanism is arranged at the position, below the water tank, in the frame, a motor is arranged in the case, a driving worm is arranged at the output end of the motor, and a dust falling mechanism is arranged in a partition plate. According to the efficient lawn combing machine for lawn maintenance, a first shaft and a second shaft are controlled to rotate in the same direction according to the movement principle of a turbine and the worm, then two combing barrels rotate, the combing barrels can drive brushes to rotate on a lawn, and therefore the lawn can be rapidly combed, and the efficient lawn combing machine is quite convenient and rapid to use.

The present invention provides an auxiliary analysis method and system for functional test points. The present invention establishes a tree structure of function points by inputting basic function points and basic function test factors, and performs the functions of the lowest-level module with the basic function points according to keywords. Match, summarize the function points and the matched test factors to quickly generate test function point use cases. The present invention can quickly sort out the test points corresponding to each module of the newly contacted product to be tested, reduce the workload of test case analysis, and greatly improve the efficiency of test analysis. With the increase of analyzed products, it can automatically The product functional test points that have been sorted out are expanded accordingly, so that the analysis efficiency of functional test points for newly managed products can be continuously improved.

The invention relates to the technical field of cotton fiber processing, and discloses cotton short fiber strength measurement pretreatment equipment. The cotton short fiber strength measurement pretreatment equipment comprises a base plate, the top face of the base plate is used for containing cotton short fibers to be treated, a pressing mechanism is arranged in the middle of the top face of the base plate, and carding mechanisms are symmetrically arranged on the two sides of the top face of the base plate. A driving mechanism is further arranged on the side face of the base plate so as to drive the carding mechanisms on the two sides to be away from or close to the pressing mechanism, the pressing mechanism comprises a first fixing block, a second fixing block and a rotary pressing plate, wherein the first fixing block and the second fixing block are correspondingly fixed to the two sides of the base plate, the rotary pressing plate is installed between the first fixing block and the second fixing block, one end of the rotary pressing plate is connected with the first fixing block through a pin shaft, and the other end of the rotary pressing plate is detachably connected with the second fixing block directly through a screw. Compared with manual short fiber carding, the carding efficiency is higher, the effect is better, and the working efficiency is effectively improved.

The invention provides a function test point auxiliary analysis method and system, and the method comprises the steps: building a function point tree structure by inputting basic function points and basic function test factors, enabling the functions of a bottommost module to be matched with the basic function points according to keywords, and summarizing the function points and the matched test factors, therefore, a test function point use case is quickly generated. According to the invention, for functions of a newly contacted to-be-tested product, test points corresponding to each module can be quickly sorted, the workload of test case analysis is reduced, the test analysis efficiency is greatly improved, along with the increase of analysis products, the product function test points which can be automatically sorted are expanded, and therefore, the analysis efficiency of the function test points of a new nanotube product can be continuously improved.

The invention discloses a template-based metadata management method and system, the method includes creating a form template according to historical form data, the form template includes specific objects and their formats; establishing a database dictionary, including the abstract objects and specific Correspondence between objects; receive the form file, select the template according to the form content; read the specific object of the form file, and match each specific object with the abstract object based on the database dictionary; after the matching is successful, the form file is defined according to the template format to store. The invention establishes the association among concrete objects, templates and abstract objects, and realizes quick formatting of tables and conditional query across tables.

The invention discloses a coconut fiber high-speed carding machine. The coconut fiber high-speed carding machine comprises a center idler wheel installed on a machine shell and a plurality of cardingrollers located on the periphery of the center idler wheel, the center idler wheel and all the carding rollers achieve high-speed rotation relative to the machine shell through belt wheel assemblies,the two ends of each carding roller are installed on the machine shell through elastic floating installation assemblies correspondingly, and the distance between the carding rollers and the central idler wheel is adjusted in real time through the elastic floating installation assemblies; a plurality of horizontal carding teeth which are symmetrically distributed at intervals are arranged on the outer peripheral surface of the central idler wheel, meanwhile, a plurality of vertical carding teeth which are symmetrically distributed at intervals are arranged on the outer peripheral surface of each carding roller, the central idler wheel and all the carding rollers synchronously rotate under the driving of the belt wheel assemblies, and thus all the horizontal carding teeth and all the vertical carding teeth conduct synchronous carding and shaping on coconut fiber raw material in the horizontal direction and the vertical direction correspondingly. By means of the specific carding structuredesign, coconut fibers are carded quickly, and the working efficiency is obviously improved.

The invention relates to the field of edible mushroom processing, in particular to an edible mushroom stringing device. The technical problem to be solved by the present invention is to provide an edible mushroom stringing device. An edible fungus threading device, comprising a support frame and a flammulina velutipes collection box, etc.; the front, middle and right part of the support frame is provided with an enoki mushroom debris collection box; the invention uses a wedge-shaped cutting mechanism to cut the enoki mushroom root into equal thickness, The linkage arc-shaped propulsion mechanism and the auxiliary needle separation mechanism are used to push and feed Flammulina velutipes at a uniform speed and quickly sort out the disordered fruiting bodies on the upper part of the mushrooms, so as to avoid tearing of the fruiting bodies when the Flammulina velutipes is sliced ​​and cannot be grilled, and then Through the bamboo stick propulsion mechanism and the single-rotation transmission mechanism of the bamboo stick, the single fast linear stringing of Flammulina velutipes is completed, which solves the problem of easy pricking and stabbing hands during manual stringing, and realizes wedge-shaped equal-thickness cutting of Flammulina velutipes, fast and single The effect of stringing and complete filming.

The invention provides a distributed network asset scanning detection platform and a scanning detection method. The platform comprises a distributed network asset scanning detection subsystem constructed based on a Kafka distributed message publishing and subscribing system; the distributed mass data elastic access subsystem is constructed on the basis of an ElasticSearch distributed mass data storage and retrieval system; the Web Server server side is written on the basis of a Flask framework, an elasticsearch 6 framework, a kafka-python framework and a pymysql framework by utilizing a Python programming language, the Web Server server side is connected with the distributed network asset scanning and detecting subsystem, and the distributed network asset scanning and detecting subsystem is connected with the distributed mass data elastic access subsystem; a MySQL database, wherein the Web Server server side is connected with the MySQL database by utilizing a pymysql framework; and the Web page is constructed by utilizing a Vue framework, and the Web page is connected with the Web Server server side. Through the technical scheme of the invention, scanning and detection of network assets are realized, the parallelization degree is high, and the efficiency of processing large-scale scanning and detection tasks is high.