12results about How to "Operable" patented technology

The application discloses a slag quantity real-time identification method and system for automatic slag pouring of a converter, and comprises the following steps: S1, obtaining the real-time thickness of a slag layer at any horizontal position of a slag pouring area; S2, collecting a real-time planar image of the slag layer in the vertical direction of the thickness, multiplying the thickness of the slag layer by the area of the slag layer in the planar area within a time interval to obtain a micro-layer slag volume; S3, multiplying the micro-layer slag volume by the density and conversion coefficient of the slag layer to obtain a micro-layer slag quantity value, continuously accumulating the real-time slag quantity value of the micro-layer to obtain a total slag quantity value of the slag poured into a slag tank. The application can rapidly, timely and accurately measure, calculate and feedback the weight of the slag poured out.

The invention discloses a fault prediction type industrial flow instrument based on a deep learning algorithm and a diagnostic analysis system, and relates to the field of industrial automation and intelligent monitoring. The system comprises the following components: a data acquisition module, a data processing module, a dynamic adaptive learning module based on reinforcement learning, a fault prediction module and a diagnostic analysis module. Through the dynamic adaptive learning module based on reinforcement learning, unique state definition, action adjustment, reward function design and a reinforcement learning algorithm execution mechanism, fault prediction model parameters can be optimized in real time according to working condition changes, a hybrid neural network architecture of the fault prediction module is combined with an attention mechanism, and fault prediction accuracy is improved. The method further enhances the capability of capturing fault features, all the modules are in close cooperation and collaborative optimization, and compared with a traditional fault prediction system, in a complex and changeable industrial environment, the fault prediction precision is greatly improved, the prediction efficiency is remarkably improved, and potential faults can be found in advance.

The application discloses a kind of temperature-resistant water-soluble monomer design methods based on generative artificial intelligence.The method comprises the following steps: constructing polymer thermal performance dataset, training quantitative structure-property relationship prediction model;Adopt generative artificial intelligence strategy, by the structure deconstruction and recombination of existing temperature-resistant monomer and water-soluble monomer, generate massive virtual monomer library;Build water-soluble evaluation index considering solubility parameter, oil-water partition coefficient and hydrogen bond number;Combined with synthesis accessibility score, multi-objective high-throughput screening is carried out on virtual monomer library.The application realizes the synergistic optimization and high-throughput screening of the temperature resistance and water solubility of candidate monomers, solves the problems of limited types of existing temperature-resistant water-soluble monomers, mainly relying on experience trial and error in research and development, and low screening efficiency, especially the lack of unified and calculable evaluation index for water solubility, which makes it difficult to optimize and screen the temperature resistance and water solubility as constraints in the process of artificial intelligence aided design.

The application discloses a polishing head with master-slave partition cooperative pressurization and application thereof in wafer polishing, and belongs to the technical field of polishing heads. The polishing head comprises a connecting module, a retaining ring flexible pressurization module and a master-slave partition cooperative pressurization module. The connecting module is connected with a main shaft of a host computer, and is internally provided with a plurality of gas channels, so that stable transmission of a plurality of gases can be realized. The retaining ring flexible pressurization module is driven by a ring-shaped air bag to deform, so as to pressurize the retaining ring and ensure that the retaining ring is closely attached to a polishing pad, thereby avoiding wafer slip during polishing. The master-slave partition cooperative pressurization module comprises a physically isolated master partition and a plurality of slave partitions. The master partition has a large pressurization capacity and can control the overall material removal rate of the wafer through large pressure. The slave partitions can finely control the surface topography of the wafer through small pressure, so that high material removal rate and high flatness polishing of the wafer are comprehensively realized. In addition, the module adopts a wedge-shaped guide mechanism, so that the tolerance of the polishing head to wafer thickness difference is improved, and the safety of the polishing process is enhanced.

This invention provides a method and apparatus for selecting order locations using map search, comprising: upon detecting a map location selection trigger operation, calling a map page matching the area information entered in the current address search box, and displaying a location selection icon on the map page according to a first location selection strategy; responding to an icon dragging operation to move the location selection icon to a predetermined location point on the map page; and determining the location point based on a second location selection strategy and the predetermined location point. This invention provides a method and apparatus for selecting order locations using map search. By failing to obtain location information matching the location information entered in the address search box in the address information database, the method enters a map location selection interface after a trigger operation, drags the location selection icon to determine a predetermined location point, and determines the location point based on the predetermined location point. This makes the selection of the order's starting and ending points more flexible and operable, providing a better user experience.

The application discloses a kind of target space displacement monitoring methods based on laser point cloud, it is related to civil engineering operation maintenance technical field, comprising: S1, setting monitoring scheme, arranging strong reflection circular target on structure;S2, utilize laser scanning equipment to emit point cloud to structure, based on reflection intensity characteristic identification and extraction target point cloud;S3, the point cloud data of target is modeled to error, based on inscribed circle fitting, calculate the uniformity of point cloud on spatial distribution;S4, based on error propagation theory, calculate effective acquisition period;All effective measurement datum point coordinates are weighted average, obtain final monitoring coordinate value;S5, compare monitoring coordinate value with historical monitoring data, obtain the spatial displacement variation of structure in different time periods, form displacement time sequence.The application is based on the targeted monitoring idea of laser point cloud reflection intensity characteristic, combined with uniformity test and error propagation theory, realize the high-precision, long-term stable measurement of structure datum point.

The application belongs to the technical field of live cell imaging, and discloses a live cell nucleic acid imaging system, method and use based on CRISPR and nanobody, which comprises: a modified dCas9 protein expression vector containing n ALFA polypeptide tags; a modified sgRNA expression vector comprising a specific guide sequence; and a fluorescent nanobody expression vector containing a bivalent or trivalent fluorescent nanobody coding sequence, which are operatively connected, wherein a fluorescent protein is inserted between nanobody split sites as an internal tag, can be combined with the ALFA polypeptide tag carried by the dCas9 protein and stably emit light, and the free state fluorescent nanobody is self-degraded and does not emit light. The application can visualize single copy nucleic acid sequences with single molecule resolution and high signal-to-noise ratio, especially the imaging marking of single copy nucleic acid sequences in live cells.

The utility model discloses a refrigerator and hinge structure therein, include: first hinge subassembly is connected with refrigerator body and upper door body, second hinge subassembly is detachably connected with first hinge subassembly and is connected with lower door body, the utility model discloses through the traditional refrigerator hinge is divided into first hinge subassembly and second hinge subassembly two parts of detachable connection each other, possesses flexibility and operability, needs to separate lower door body when directly removes second hinge subassembly from first hinge subassembly and can remove the fixing of lower door body, realizes the premise of not disassembling upper door body and disassembles lower door body, avoids the operation complexity caused by needing to disassemble upper door body first.

The utility model relates to a hair curler which comprises a handle, a heating part arranged at the front end of the handle and a heat conduction clamping piece hinged to the side wall of the front end of the handle. The heat-conducting clamping piece and the heating part are arranged side by side; a first electric heating piece is arranged on the heat conduction clamping piece; when the heat conduction clamping piece is folded, the inner side wall and the outer side wall of the heat conduction clamping piece respectively form two heating positions for heating hair, when a user clamps the hair for heating, the hair can be continuously and evenly heated through two heat sources on the inner side and the outer side of each heating position, and the qualitative effect is better and faster.

The utility model discloses a quick clamping mechanism for valve machining, which comprises a machining support, a longitudinal and transverse moving lead screw module, a carrying mechanical arm and a quick clamping structure, the longitudinal and transverse moving lead screw module is mounted on the machining support, the carrying mechanical arm is mounted at the moving end of the longitudinal and transverse moving lead screw module, and the quick clamping structure is mounted on the machining support. The utility model relates to the technical field of valve processing, the position of a valve is accurately positioned through a scanning camera on a processing assembly, and the carrying mechanical arm is driven by a longitudinal and transverse moving lead screw module to realize rapid and accurate movement; a concave sleeving block on the carrying mechanical arm is ingenious in design, and stable clamping of the valve is achieved through cooperation of a sleeving T-shaped shaft pipe and a telescopic inner shaft rod and magnetic interaction of a horizontal telescopic magnet and an electromagnet.

The application provides an accounting data management method, system, device and medium based on edge computing, which extracts a structured feature vector of newly added accounting voucher data; extracts a similar voucher set similar to the newly added accounting voucher data from a high-frequency subject area and a sparse subject area in historical accounting voucher data according to a data partition granularity; determines the distance between the structured feature vector of the newly added accounting voucher data and the feature vector of each accounting voucher in the similar voucher set, and then generates a risk confidence value of the newly added accounting voucher data based on the occurrence frequency of similar accounting vouchers and the feature vector distance; and when the risk confidence value exceeds a set threshold, updates the compliance verification result and the structured feature vector corresponding to the newly added accounting voucher data to an accounting voucher database. The technical scheme provided by the application can overcome the interference caused by the natural long-tail distribution characteristics of accounting subjects on similar voucher retrieval in accounting data management.

The invention discloses a MyBatis framework-oriented SQL (Structured Query Language) automatic analysis and optimization method and system, and the method comprises the steps: calling a GenericTokenParser, an XNodeParser and a SqlSourceBuilder tool class officially provided by Apache MyBatis, completing the grammar analysis of a dynamic SQL statement, the recognition and replacement of a parameter placeholder, generating a BoundSql object, and obtaining complete execution plan information; inputting the static SQL text and the execution plan into a configurable artificial intelligence large model interface, and deeply analyzing the performance bottleneck by the large model; and automatically diagnosing the problem severity through a rule engine based on a quantitative index of an execution plan field, dividing the problem severity into three levels of emergency optimization, important optimization and suggested optimization, and generating a structured diagnosis report containing problem description, reason analysis and an executable optimization scheme. According to the method, the MyBatis framework characteristics and the AI large model capacity are deeply fused, the problems that dynamic SQL analysis is inaccurate, diagnosis lacks quantitative grading, an optimized closed loop is incomplete, and rules are statically solidified are solved, and the efficiency and the intelligent level of database performance management are remarkably improved.