284results about How to "Clear classification" patented technology

The invention provides a building method of a knowledge map based on a vertical field. The method comprises the following steps of (1) extracting the word realization of classes of an on-line encyclopedia and the hyponymy between classes; (2) merging the field knowledge information, defining the data attribute and the relationship attribute of the field, and further setting the statute on the definition domain and the value domain of the attributes; (3) studying an entity layer, i.e., extracting an entity and filling the attribute value of the entity; performing mass processing on structurized and semi-structurized data by D2R or data collecting tools; and for non-structurized text data, defining the classes and the attributes of the upper layer body and the relationship between the classes and the attributes, and recognizing examples according to the relationship between the classes and the attributes. The method has the advantages that by using the method, the built knowledge classification of the vertical field knowledge map is clear; the self study and the automatic expansion of the knowledge map are realized; and the key effects are achieved on the information retrieval and semantic analysis of the vertical field.

The invention discloses a watt-hour meter state assessment index selection and quantization method. According to the working principle and operation features of the watt-hour meter, an electric energy metering device online monitoring system such as a power utilization information acquisition system newly promoted by the national grid is combined, assessment indexes are extracted from three aspects of basic information, operation monitoring and operation state information, index selection is wide and complete, classification is distinct, and the operation state of the electric energy metering device can be comprehensively reflected. In addition, influences on the watt-hour meter by each index are researched, technical specification documents related to electric energy metering and management by the national grid are consulted, a corresponding index quantization standard is determined, and quantitative state assessment on the watt-hour meter is facilitated.

A building block includes: a brick, at least one pair of fixation posts, a circuit board and a base. The brick includes at least one pair of studs projected from a top thereof. A stud hole penetrates through each stud. The fixation post includes an insulating piece and a conductive piece. A top of the insulating piece is disposed in the stud hole and the conductive piece is disposed in the insulating piece. The conductive piece has an insertion electrode, a contact electrode and a connection electrode extended from a top, a side and a bottom thereof, respectively. The circuit board and the base are sleeved on the fixation posts. The circuit board includes a positive electrode circuit and a negative electrode circuit respectively contacted with the pair of the fixation posts and a functional unit electrically connected with both electrode circuits.

The invention discloses a vehicular power maintenance system with a maintenance tool box. The vehicular power maintenance system with the maintenance tool box comprises a vehicle main body, a lifting device and a maintenance bracket, wherein the lifting device is arranged on the vehicle main body; the maintenance bracket is arranged in a hoisting device; the ends of a lifting platform are provided with movable plates which can be opened; the movable plates are arranged adjacent to a working opening; the movable plates form a maintenance muzzle bell which is communicated with the working opening after being opened; the vehicle main body is also provided with the maintenance tool box; the maintenance tool box comprises a box body; one side of the box body is provided with a cabinet door; a plurality of compartments and drawers, which are formed by baffle plates, are arranged in the box body; cameras are arranged in the compartments and the drawers; the cabinet door is provided with a door panel; the baffle plates are also provided with rotary display screen assemblies connected with the cameras.

The invention provides a method of three-dimensional reconstruction for pipeline structures and belongs to the field of three-dimensional point-cloud modeling. The method includes: acquiring point-cloud data of a pipeline and a unit normal vector of ground; transforming the point-cloud data into a coordinate system with a Z axis, namely the ground normal vector; calculating a normal vector of the point-cloud data after coordinate transformation; separating to obtain the point-cloud data with the normal vector parallel to the ground and projecting the data to a plane parallel to the ground; separating to obtain the point-cloud data with the normal vector not parallel to the ground, projecting the data to a Gaussian sphere, projecting the data to the equator latitudinally, and detecting peak points on the equator; projecting the point-cloud data in the area in which the peak pints are located to a plane consisting of a peak direction and the Z axis; forming a point-cloud circle by the obtained point-cloud data; and forming a three-dimensional diagram of the pipeline by the point-cloud circle. Noise interference is avoided maximally. The point-cloud data can be classified vividly even when the point-cloud data are obtained incompletely. Calculated amount is small. The method is applicable to three-dimensional reconstruction of various pipelines.

The invention discloses a space-adjustable rotary storage cabinet, which comprises a rotating mechanism, a storage structure and a support structure, wherein the rotating mechanism comprises a main motor, a rotating shaft and a sliding rail; the storage structure comprises a storage region, a bottom rotating plate, a top plate, an outer cover, a plurality of separation plates and a plurality of ascending and descending plates; the support structure comprises a support frame, a fixing seat with a bearing, a linear bearing, a lead screw and a lead screw nut; the bottom of the sliding rail is fixed at the bottom of the support frame; the bottom rotating plate is fixed on the sliding rail; the bottom rotating plate is fixedly connected with the rotating shaft; the ascending and descending plates are glidingly connected with the rotating shaft through the linear bearing; the lead screw nut is used for fixing the lead screw and the edges of the ascending and descending plates; the main motor drives the bottom rotating plate, the ascending and descending plates, the top plate and the rotating shaft to synchronously rotate through the rotating shaft. The space-adjustable rotary storage cabinet has the advantages that the storage quantity is great; the structure is simple; the movement is stable; the storage space of expresses is reasonable; the classification is clear; the price is low; the applicability is high.

The invention discloses a medical standard term ontology management system and method, a device and a storage medium, belonging to the technical field of life and health. The system comprises a disease terminology library, a terminology inquiry module, a terminology customization module and a foundation platform construction module, wherein the disease terminology library displays the collected data in a tree structure, and simultaneously displays the details of the terminology, synonyms and parent-child node information; the term query module is used for creating term index, constructing termquery system, and realizing term fast positioning. The terminology customization module is used for establishing the terminology system belonging to different departments by relying on the disease terminology database and combining the practical application of different departments' business systems. The basic platform construction module is used for managing different organizations in the medical union to manage users of different organizations. The system has a uniform classification definition, can meet the needs of the development of medical and health field and industry in our country, and can be maintained and updated in a timely manner.

The invention discloses a security inspection system and method based on a depth neural network. The security inspection system comprises an X-ray imaging module, a detection model training learning module, an object identification module and a security management module, wherein the output end of the X-ray imaging module is connected with the input end of the object identification module, the object identification module is bidirectionally connected with the detection model training learning module, and the output end of the object identification module is connected with the input end of thesecurity management module. Based on the color feature segmentation of X-ray images and synthesis of detection images of multiple planes, a detection model of the depth neural network is established,and big data are used to train and learn the features of common articles to identify and classify rotating, telescopic and deforming objects through a detector.

The invention relates to a modeling and data privacy protection method based on a data map, an information map and a knowledge map, and belongs to the field of intersection of distributed calculationand software engineering. The modeling and data privacy protection method is mainly used for carrying out feasibility analysis, integrity analysis, consistency analysis and redundancy analysis on a demand of a user and extracting corresponding data stream, information stream, knowledge stream and control stream in each step of analysis to map to the data map, the information map and the knowledgemap. Then, on the basis of the demand of the user, data resources are classified into implicit and explicit cases according to existence of the data resources in a search space; and for implicit and explicit information privacy resources, the data privacy resources are converted into other types of privacy resources according to a sequence of influence sizes and all the related typed privacy resources are stored into a privacy space to carry out protection.

The invention discloses a green transmutation sagging ceramic product and a manufacturing process thereof, and belongs to the field of ceramic manufacturing processes. A formula of a ceramic is prepared from the following materials in parts by weight: 70-85 parts of nepheline, 8-12 parts of dolomite, 6-10 parts of kaolin, 9-13 parts of quartz, 5-10 parts of mica, 1-5 parts of bentonite, 13-16 parts of titanium dioxide, 3-7 parts of zinc oxide, 12-18 parts of calcium oxide, 2-6 parts of copper oxide and 2-5 parts of waste ceramic material. The manufacturing process comprises the following steps: material treatment, material allocation, green body firing, ground glaze preparation, overglaze preparation, ground color glaze firing and green glaze firing. According to the manufacturing process, the adopted raw materials can effectively lower the firing temperature of the ceramic, thus improving the production efficiency and improving the performance, including strength and the like, of the prepared ceramic; and a manufacturing method is beneficial to ensuring the purity of metal elements and reducing energy consumption, clear classification and easy operation are achieved, and the service life of a sintered utensil is prolonged.

The invention discloses a data classification and data retrieval method and device based on full-text retrieval. The method comprises the following steps: defining each service module, associating data produced by each service module with the service module, classifying the data, adding indexes for the classified data, and then storing; when a user retrieves data, finding the corresponding data according to the index, finding the service module corresponding to the data according to the association information of the data and the service module, and then finding a processing method corresponding to a service module processing type to process the data, thereby acquiring a retrieval result. The invention further puts forward a mode of screening the retrieved data according to the user right so as to finally present the data to the user. The problem that the produced structured and non-structured data in each service module cannot be collected, classified and retrieved in unification by the enterprise in the past is solved.

The invention discloses a method for comprehensively treating and recycling stacked rubbish. The method comprises the following steps: 1) digging rubbish; 2) sorting: adopting mechanical sorting and manual sorting, wherein mechanical sorting comprises first-level sieving and second-level sieving; the process is as follows: sieving and removing major rubbish by using a vibrating plate, entering into a first-level rotary screen, using a magnetic separator for removing secondarily used metal from the first-level oversize substances in grain size more than 80 mm and then entering into a first winnower, and winnowing, thereby acquiring light substances and first heavy substances, and then manually sorting the first heavy substances; pouring the first-level undersize substances in grain size less than or equal to 80 mm into a second-level rotary screen, manually sorting the secondary oversize substances in grain size more than 40 mm, using the magnetic separator for removing metal from the secondary undersize substances in grain size less than or equal to 40 mm and then entering into a second winnower, and winnowing, thereby acquiring the light substance used for preparing rubbish derivative fuel RDF and mineralized refuse humus used for preparing fertilizer. The method is capable of quickly and efficiently distinguishing and screening the mineralized refuse and realizing recycling rational utilization.

The invention provides a data processing method. The method is applied to electronic equipment and comprises the steps: acquiring data to be processed; analyzing the data to be processed according to a preset rule to obtain a first attribute group of the data, wherein the first attribute group contains at least one attribute; updating a preset identification list according to the acquired first attribute group of the data, wherein the identification list comprises attribute classes and number of data belonging to the attribute classes; and displaying the identification list. By using the method, the data to be processed can be analyzed according to the preset rule to obtain the first attribute group of the data, and the data can be automatically classified according to the first attribute group, so that data files are clearly classfied, and the user experience is improved.

The invention relates to a typed resource demand modeling and information resource privacy protection method based on a data map, an information map and a knowledge map, and belongs to the field of intersection of distributed calculation and software engineering. The typed resource demand modeling and information resource privacy protection method is mainly used for carrying out feasibility analysis, integrity analysis, consistency analysis and redundancy analysis on a demand of a user and extracting corresponding data stream, information stream, knowledge stream and control stream in each step of analysis to map to the data map, the information map and the knowledge map. Then, on the basis of the demand of the user, information resources are classified into implicit and explicit cases according to existence of the information resources in a search space; and for implicit and explicit information privacy resources, the information privacy resources are converted into other types of privacy resources according to a sequence of influence sizes and all the related typed privacy resources are stored into a security space to carry out protection.

The invention belongs to the field of data measurement, and particularly relates to a method of generating a human body three-dimensional data model library, so as to solve problems that data in the existing database are imperfect, the acquisition range is small, the acquisition is single, and the data accuracy is poor. The method comprises the following steps: 1) a human body three-dimensional virtual model library is built; 2) the weight and the offset of a virtual model posture label are obtained through learning; 3) a PCA main feature value is acquired; and 4) the model data are calculated. The method can build the human body database in a low cost, high precision and high efficiency mode, the measurement time can be greatly shortened, the measurement precision and the efficiency are improved, and the posture trend of the human body can be evaluated.

The invention discloses an environment-friendly garbage can. The environment-friendly garbage can comprises a garbage can body; an inner cavity, a garbage feeding opening and a garbage discharging opening are formed in the garbage can body, and a garbage conveying device, a crushing mechanism, a screening mechanism, a compressing mechanism, a driving motor and at least two garbage collecting siloscommunicating with the garbage discharging opening are arranged in the inner cavity of the garbage can body; the garbage conveying device is arranged below the garbage feeding opening, the crushing mechanism is arranged below the output end of the garbage conveying device; the screening mechanism is arranged below the crushing mechanism, and a plurality of leaking holes are formed in the screening mechanism to sort the garbage into two types; and the compressing mechanism is used for compressing the lightweight garbage falling from the lower end of the screening mechanism. The environment-friendly garbage can is compact and simple in structure, the burden of the follow-up garbage disposal can be reduced, the garbage can be compressed, the garbage occupying space is saved, the amount of the garbage storage is improved, and the garbage sorting collection and cleaning are facilitated.

Provided is a flow cytometry method including adjusting cell populations targeted by antibodies conjugated with a same-color fluorochrome to show different fluorescence intensities according to types of the antibodies. Unlike a conventional flow cytometry method capable of classifying a positive and negative of one target using one antibody per color, the flow cytometry method adjusts several types of antibodies conjugated with a single-color fluorochrome to respectively show different fluorescence intensities, or adjusts the amounts of antibodies conjugated with a fluorochrome differently according to types of the antibodies, thereby classifying a positive and negative of multiple targets using one color. Accordingly, even when a current flow cytometer capable of classifying a limited number of colors is used, it is possible to classify a variety of cell populations to be clinically examined.

The invention discloses a news retrieval method, comprising the following steps: building a search server cluster; collecting a news web page and a news information table, analyzing the news web page and the news information table and extracting effective information, wherein the effective information comprises a key word, a place and an IP (internet protocol) address; transmitting place information or the IP address to a geographic information server to extract a geographic position coordinate; building indexes for the news web page, the news effective information and the geographic position coordinate; inputting a retrieval event, a retrieval place and a retrieval radius; building a retrieval range; displaying a retrieval range map; displaying the indexes on the map; and clicking the indexes on the map to obtain detailed information of related news. By adopting the news retrieval method, the places in the news are landed on the map by building the indexes of the news and the geographic information coordinate; the news of one place can be retrieved on the map by the news retrieval method disclosed by the invention; the retrieved news information is clear to classify and visual to display; the geographic position is accurately positioned.

Embodiments of the invention disclose a data automatic sorting storage method and terminal. The data automatic sorting storage method comprises the steps of performing unified storage on application data corresponding to application package names belonging to a prefix directory of the same application path by finding the corresponding relation between the application package names and the prefix directory of the application path; storing the application data to a storage region corresponding to a sub directory of the prefix directory of the application path; and enabling application package names of the same type to be corresponding to the prefix directory of the same application path according to a configuration list. The directories are classified clearly, so that the directories and the data under the directories can be read conveniently.

The invention provides a log reporting method, a device, an electronic device and a computer-readable storage medium. The log reporting method can monitor the state of the test event, and when the test event has error information, obtaining a log corresponding to the error information in time, to achieve the goal of rapid response, and further analyzing the target log, Get Key Fields, and according to the key field, comparing the target log with each log of the stored log data in the mass data, when the similarity between the target log and each log of the stored log data is less than or equalto a preset value, Obtaining the category of the target log, thereby pertinently reporting the target log according to the category of the target log, so that the log has a clear classification, anddata federation is realized, which is not only convenient to view, but also conducive to further analysis and processing through the log.

The invention discloses a trash collecting robot with a classification function based on artificial intelligence, and belongs to the field of trash collection and the field of industrial robots. The trash collecting robot comprises a trash can body, a driving device, a control system, a big database and a voice system. The trash can body comprises a recyclable trash can A and an unrecyclable trashcan B. The recyclable trash can A and the unrecyclable trash can B each comprise a trash door capable of being automatically opened or closed. The control system controls the driving device and can drive the trash door of the recyclable trash can A and the trash door of the unrecyclable trash can B to be opened or closed independently or simultaneously. The voice system receives and recognizes trash names or trash types. The big database automatically adds new trash names and corresponding trash types. The trash collecting robot is more clear in trash classification based on artificial intelligence, can open or close the trash doors in a far distance and is more environmentally friendly.

The invention discloses a rapid ship target detection method, a storage medium and computing equipment, and the method comprises the steps: establishing a feature pyramid full-convolution network anda double-branch module which sequentially comprise an input layer, a feature extraction layer, a feature fusion layer and an output layer, determining a ship data set, inputting a generated training set into the built feature pyramid full-convolution network, and generating a target detection result. According to the method, the ship in the image can be rapidly and accurately detected; and the detection result is accurate and rapid, the requirement on embedded equipment is low, and the method has very high practical application value in various aspects such as military affairs, civil use and the like.

The invention relates to the technical field of cement waste, and discloses an efficient solid waste treatment device. The efficient solid waste treatment device comprises two vertical plates arranged correspondingly, wherein a crushing mechanism is mounted above one ends of the two vertical plates, an upper sieve plate and a lower sieve plate are arranged between the two vertical plates up and down in parallel, a receiving hopper is arranged at the bottom between the two vertical plates, and a slag receiving hopper is arranged between the two vertical plates and located under one end of the upper sieve plate and one end of the lower sieve plate, the middles of the rear surfaces of the upper sieve plate and the lower sieve plate are jointly connected with a reciprocating motion mechanism, and sweeping mechanisms are arranged in the positions, corresponding to the upper sieve plate and the lower sieve plate, of the inner sides of the vertical plates. When the crushed waste is screened, the waste can fall onto the screen plate to be more rapidly and uniformly dispersed, so that the screening efficiency of the screen plate on the waste is improved; and moreover, the screened impurities and metal substances can be classified, so that the solid waste treatment efficiency is further improved.

The invention discloses a data integration classification method. The number of classification hierarchies is not less than two. The method comprises the steps of 1, performing matching on collected data and a low-hierarchy classification standard, if the matching succeeds, directly classifying the data in the matched low-hierarchy classification standard, and if the matching does not succeed, entering the step 2; and 2, performing matching on the data and a high-hierarchy classification standard, if the matching succeeds, directly classifying the data in the matched high-hierarchy classification standard, and if the matching does not succeed, determining that data classification fails. The data integration classification method provided by the invention is relatively high in classification precision.

The invention relates to the technical field of waste treatment, in particular to a waste treatment system. The harmless high-temperature plasma broad-spectrum waste treatment system comprises a feeding system, a plasmas treatment system, a synthesis gas recycling system, a residual gas treatment system, a washing circulating fluid regeneration treatment system and a waste residue treatment system, wherein the waste flows through the systems sequentially and is changed into slag and synthesis gas, the synthesis gas is recycled and used for generating electricity, produced tail gas is purified and discharged, the washing fluid is treated and recycled, and the slag is recovered and reused. With the adoption of the technical scheme, the defects of single waste treatment type and incomplete treatment by means of a conventional technology are overcome, a secondary pollution source cannot be generated, waste heat and the synthesis gas are sufficiently recovered, the treated slag can further be recycled to generate new economic benefits, resource recycling is further facilitated while the environment is protected, and the harmless high-temperature plasma broad-spectrum waste treatment system has huge social and economic values and commercial utilization prospect.

The invention discloses a combined cutter moving type numerically controlled lathe. The combined cutter moving type numerically controlled lathe structurally comprises an automatic positioning mechanism for processing, an art line, an electric control cabinet, a control panel, a turntable, a processing box, a processing table top, an observing port, a protecting door, a lubricating oil pump and more than two fixing bottom feet, wherein the more than two fixing bottom feet are uniformly welded to the bottom part of the automatic positioning mechanism for processing; and the automatic positioning mechanism for processing and the art line are both of rectangular structures. According to the combined cutter moving type numerically controlled lathe, a workpiece is continuously efficiently turned and processed while the resource is saved; in case that the workpiece produces a large number of heat due to high-speed turning, cooling liquid in a cooling liquid storing tank can be pumped out through a liquid pumping water pump and then is rapidly sprayed to a high-temperature workpiece to realize rapid cooling through a liquid pumping guide pipe, thus the workpiece temperature can be decreased, and the shortage of performance failure due to excessively high temperature of the workpiece in turning can be avoided; and the processing can be continuously and smoothly carried out.

The invention discloses an intellectual property operation service platform system. The system comprises a server, at least one database, at least one user input device and at least one intellectual property management web portal, wherein the server is connected to a communication network and comprises a processor; the databases are connected to the communication network and used for storing intellectual properties and relevant information; and the intellectual property management web portals are used for inputting and analyzing the intellectual properties and the relevant information, whereinthe intellectual property management web portals classify the intellectual properties and the relevant information stored in the databases through the server, classification is performed based on multiple predefined stage parameters, and a project management module, a trademark management module, a patent management module, a personal office module, a client module and a process module are included in classification. According to the system, the intellectual properties and the relevant information are input and analyzed through the web portals, direct and instant data information is providedfor clients, and the trouble that many clients receive information untimely is avoided.

The invention discloses a high-efficiency mixing and matching device for coix seeds. The device comprises a pedestal, a working box body is arranged at the upper end of the pedestal, a first conveying channel, a second conveying channel and a third conveying channel are sequentially arranged at the upper end of the working box body from the left to the right, the internal of the third conveying channel is sequentially divided into a cleaning chamber, a drying chamber and a conveying chamber from top to bottom, the juncture of the cleaning chamber and the drying chamber is provided with a first valve, the lower ends of the first conveying channel, the second conveying channel and the third conveying channel commonly communicate with a main channel, the inner wall of the working box body is vertically provided with a first rotating shaft, a mixing plate is welded to the first rotating shaft, and the lower end of the first rotating shaft penetrates through the working box body and the pedestal, and is connected with a first wireless driving motor arranged in the pedestal. The device has the advantages of convenience in operation, high intelligentization degree, saving of the time and the labor during use, high working efficiency, clearness in classification of the material conveying channels, high mixing and stirring degree, and good treatment effect, and is worth promoting.

The invention discloses a power transmission line icing thickness prediction method based on CEEMDAN-QFOA-LSTM, and relates to the field of combination of power transmission line state evaluation anddeep learning. The method comprises the following steps o: (1) carrying out data acquisition and preprocessing; (2) carrying out CEEMDAN decomposition on an icing thickness historical data sequence (12); (3) optimizing hyper-parameters of the LSTM by a quantum drosophila melanogaster algorithm; (4) carrying out LSTM model training (14); and (5) predicting the icing thickness of a power transmission line and analyzing a result (15). According to the method, the CEEMDAN decomposition algorithm is used, a sequence which is difficult to directly predict is converted into a plurality of predictablecomponent sequences; a neural network can more accurately grasp the law of the sequence according to multi-dimensional feature information obtained through decomposition; a QFOA optimization algorithm is used for obtaining the hyper-parameters, a complex manual parameter adjustment process is avoided, and a network model is trained more effectively; the used LSTM neural network does not have theproblem of gradient disappearance of a general network, so that optimal convergence of the model is ensured, and the problem of short-term and long-term time sequence prediction is effectively solved.