464results about How to "Logical" patented technology

The invention discloses a kind of auto question-answering system, which includes interface unit, illation unit, language knowledge base, illation knowledge base, normalization table of keyword, and normalization unit, the illation unit inquires said illation knowledge base according to sequence of normalization to find the answer corresponding with the question with same sequence of keyword, and the answer is as the system response to be output by said interface unit. The invention also discloses a kind of auto question-answering method, which can be used in the system with language knowledge base, illation knowledge base, normalization table of keyword, and it can divide the input question; and the normalization is done for the sequence of keyword; and the normalized keyword can find the setting question with same keyword; and it can search the answer according to the question; and said answer is output as system response. Thee invention can reduce the working capacity for building illation knowledge base by the normalization of synonymous keywords.

The invention discloses a laser radar two-step calibration method based on a calibration field. The method comprises steps of establishing a calibration field; carrying out calibration; preparing angle calibration; networking a theodolite; scanning a laser radar; measuring the theodolite; establishing an angle correction equation; calculating an angle correction coefficient; establishing a base line field; measuring the laser radar; measuring the theodolite; establishing a distance correction equation; and calculating a distance correction coefficient. According to the invention, rapid calibration of the laser radar is achieved without taking a precisely designed and processed calibration device as a calibration standard; a problem of too high requirements on a test place, the calibration field and the calibration device in the normal method is solved; through cooperation of a rotation bench, the whole test process is achieved, the test difficulty level is reduced and a difficulty in ensuring precision of full field-of-view angle correction in the normal method is solved; and through the test of the calibration field and the base line field step by step, effects of correcting separation distances in a calibration model are achieved and disadvantages in mutual coupling of distance parameters and angle parameters in the normal method are overcome.

The invention discloses a control method of an intelligent clothing suspension system. According to the control method, the readable-writable IC card data technology is adopted, and the readable-writable IC card data technology is matched with other software/hardware control technologies to realize automatic control on circulation of clothes hangers of the intelligent clothing suspension system between various steps. The method is characterized in that the IC card information of the clothes hangers and a push rod are classified into different types, the information is collected and written in through a come-into-station read head and a come-out-of-station read head, and the circulation of the clothes hangers between a main track and each workstation is realized according to requirements under the combined action of a controller, a terminal and a data acquisition program. The control method of the intelligent clothing suspension system is high in adaptability and intellectualization degree; the complexity of the system is effectively reduced by virtue of the readable-writable technology; the system is high in safety, and the work of the whole system cannot be affected by the fault of one workstation.

The invention discloses an intelligent operation and maintenance framework design method for a power grid dispatching control system, which includes the following steps: 1) omni-directional monitoringdata acquisition, 2) monitor data storage, 3) real-time monitoring alarm, 4) fault diagnosis and location, and 5) multi-dimensional visual display. The application can monitor the operation status ofthe whole system in real-time, evaluate the health status of the software and hardware such as the host, storage, application and the like in an effective, accurate and timely manner, and provide effective information for system optimization and fault discovery, and improve the operation and maintenance efficiency of the system.

The invention discloses a self-adaptive control method for diagonal gait of a four-footed robot, which is used for self-adaptively controlling the walking of the four-footed robot in the nonstructural terrain with the diagonal gait. The self-adaptive control method bases on a fuzzy reasoning learning method and a foot trajectory real-time correction method and takes the diagonal gait as the motion mode so as to comprehensively control a robot body to adapt for the nonstructural environment. The gait planning is carried out on the environmental information collected by the sensor through the fuzzy reasoning learning method; the stability judgment is carried out on the gait planning information; if the planned four-footed robot has stable diagonal gait, the joint corner information is sent to a control system; if not, the supporting time of the diagonal feet is corrected by the foot trajectory real-time correction method so that the four-footed robot has better stability when walking under the changed gait in the nonstructural terrain. The self-adaptive control method is used for correcting foot trajectory planning and walking stability under changed gait when the four-footed robot walks diagonally in a dynamic way, thus realizing the self-perception, self-correction and self-adjustment of the four-footed robot.

The method includes following procedures: based on RTWP and TCP, RNC determines upper limit allowed in up run and downward run in AMR mode; based on measured value of CPICH-Ec/No, RNC determines AMR mode in up run and downward run the single UE expects to use; based on upper limit allowed in up run and downward run in AMR mode as well as AMR mode in up run and downward run UE expects to use, RNC determines AMR mode in up run and downward run utilized by single UE. Comparing AMR modes between UE utilized and current utilized, if they are same, then control command is not needed to send; if AMR modes in up run are different, then adjustment command is sent to UE through message for controlling transmission format; if AMR modes in downward run are different, then adjustment command is sent to side of core network through rate control frame.

The invention provides a method for converting a PLC program into a common Petri net. The method is characterized by: aiming at a PLC ladder diagram program, simulating a ladder diagram contact and a coil as a node; simulating a lead as a directed edge; establishing a PLC directed graphical model of the ladder diagram program; defining a path in a directed graph; according to a path relation, converting the PLC directed graph into the Petri net. In the invention, automatic conversion from the PLC ladder diagram program to a common Petri net model can be realized. Because an excitation condition of the common Petri net is concise, a logic thinking mode is simple, visual and understandable and the obtained Petri net model can complete simulate a dynamic behavior of a PLC control system, PLC program analysis and error correction can be conveniently achieved and PLC program logic is more precise.

The invention discloses a user dynamic preference oriented commodity sequence personalized recommendation method. The method comprises the steps of extracting a commodity sequence under the same usersimilarity score to construct a commodity score vector; extracting a user sequence of similar scores of the same commodity to obtain a user score vector; combining user personal information, commoditybasic attribute information, user and article comments and commodity pictures; achieving feature extraction of a user and a commodity based on multi-task learning, taking a user feature vector and afeature vector of a historical commodity sequence of the user feature vector as input, achieving generation of the commodity sequence by training a coder-decoder, and accurately learning recommendation of the optimal commodity sequence in combination with a search strategy. According to the invention, based on the multi-modal user-commodity data, the user features and the commodity features are highly extracted and fused, personalized recommendation of the commodity sequence for user preferences is realized, and the user experience is improved.

A real-time calculation method of abrasion loss of a disc cutter of a hard rock tunnelling boring machine (TBM) provided by the invention relates to a data processing method particularly suitable for specific application. From the aspect of mechanical analysis of hard rock hobbing cutter rock breaking, a relationship between a cutting coefficient and a hobbing cutter rock breaking arc length is established, and the real-time calculation method of abrasion loss of the hobbing cutter in the tunneling process of a hard rock TBM is realized through adoption of tunneling parameters automatically acquired in the work process of the hard rock TBM. The real-time calculation method comprises the steps: performing real-time calculation of an equivalent hobbing cutter cutting coefficient and a knifing of a TBM cutter; performing real-time calculation of an angle with respect to the equivalent hobbing cutter rock breaking arc length; performing real-time calculation of an equivalent hobbing cutter working radius; performing real-time determination of the abrasion loss of the equivalent hobbing cutter in the tunneling process of the hard rock TBM; and performing real-time determination of the actual abrasion loss of a hobbing cutter at any one cutter spacing on the hard rock TBM cutter. According to the invention, the real-time calculation method helps to make up the deficiencies in the prior art that abrasion of a hobbing cutter of the hard rock TBM in the tunneling process cannot be directly detected in real time and the abrasion loss of the hobbing cutter of the hard rock TBM in the tunneling process cannot be reflected.

The invention relates to a three-dimensional mechanical in-process model sequential modeling method based on removal feature recognition, which mainly aims to solve the technical problems of repetitive work and big application limitation in the prior art. In the method, first of all, the removal features are classified into boundary feature, inset feature, communication feature, thread feature and loop feature. On the basis of the classification, the method includes the steps of: 1) producing a workblank; 2) judging whether a next process is necessary, and if yes, entering the third step; 3) recognizing the removal features in the process, which includes selecting a feature type and recognizing the feature; and 4) modeling the in-process models. All the in-process models are assembled to form a whole process model and are organized by a standard structure of a process all-information model. The method makes full use of the geometrical characteristics of the original components, solves the problem of high quality requirement to the original component model design in three dimensional process design, speedily creates the in-process models according to the practical mechanical processing sequence and improves the overall efficiency of the process design system.

The invention discloses a factory intelligent scheduling method which mainly comprises the following steps that equipment state information and factory environmental information are acquired via intelligent sensors; the equipment state information and the environmental information are respectively transmitted to corresponding PLC data acquisition stations; each PLC data acquisition station divides data into flow scheduling record data, key equipment control record data, equipment operation state data and key technological index data to be uploaded to a data center through data preprocessing; the data center performs extraction of knowledge rules so as to obtain a knowledge rule base formed by flow scheduling rules, equipment control rules and abnormity processing rules; and the corresponding rules are respectively read via an equipment intelligent control algorithm and a flow intelligent scheduling algorithm so that optimized configuration and scheduling of resources in an intelligent factory can be realized. Upgrading and reconstruction of conventional factory production modes can be realized so that production efficiency can be enhanced, production energy consumption can be reduced, environmental pollution can be reduced and production cost can be saved, and thus green production can be truly realized.

The present invention provides a millimeter wave band 4*4 conical conformal dual-frequency microstrip antenna and its design method, relating to a microstrip antenna and its design method. The aim of the invention is resolving the problem of the difficult design of the present conical conformal dual-frequency microstrip antenna. The whole of the antenna four-group patch units shows rectangle provided on the surface of the dielectric layer to form an array, one end of each feeder is connected with one patch unit one by one. The method of the invention includes: deducting different thickness cone layer by the object function, extending the floor layer, the dielectric layer and the patch layer of the planar antenna to the cone layer, catching the intersection by the intersection function and conforming the planar array on the cone surface. The two resonant frequencies of the antenna are all in millimeter wave band, 30.6 and 35.5GHz respectively, the bandwidth of the conformal array on the two resonance points are 315MHz and 485MHz respectively. The invention has a simple structure, clearly arrangement, strict logic, relatively ideal simulation results, simply processing technology.

The invention relates to the field of data processing technology, in particular to a novel concurrent memory data organization and access method. The method is characterized in that the memory data organizational form provides two types of data access methods: Key-Value accurate index method and Key-ValueList clustered index method; any attribute of each entity can be accessed according to requirements; a multidimensional index is simultaneously supported and a single entity can be retrieved through different indexes; the entire memory data can be managed in a manner of block organization; management information of different levels and different types is stored respectively in each memory block; and data access is controlled in series based on the logic of each memory block. Compared with the prior art, the method has the advantages that the memory data structure is flexibly designed and organized on the premises of data integrity and high concurrent access efficiency, an efficient data retrieval model is provided, the WORM (write-once-read-many) concurrent data access is supported, the integrity of data read and write transaction is effectively ensured, the resource consumption is effectively reduced, and the concurrent access ability is improved.

The invention provides a product anti-counterfeiting method used for the field of product anti-counterfeiting. According to the product anti-counterfeiting method, a two-dimensional code scanning technology and an internet technology are mainly utilized, a label pasting and identifying region is then arranged on a product which is going to leave a factory, and an image of an anti-counterfeiting label pasted in the label pasting and identifying region is obtained and used as an anti-counterfeiting image, so that the anti-counterfeiting safety of labels is enhanced, and the consistency between the anti-counterfeiting label on the product going to leave the factory and the label recorded before leaving the factory is ensured more effectively; in addition, an identifying code is arranged, and the identifying code is associated with production information of the product going to leave the factory and the anti-counterfeiting image, so that consistency and the unilateral control performance of the information associated with the product going to leave the factory are ensured. The invention further provides a product anti-counterfeiting system for realizing the method, so that an effective and safe anti-counterfeiting technology is provided to a product producer.

The invention belongs to the technical field of aviation atmosphere data detection and discloses a digital atmosphere data computer and an implementation method thereof. The digital atmosphere data computer comprises a pitot tube and a temperature sensor, and a total pressure tube and a static pressure tube are arranged on the pitot tube. A first digital barometric sensor is arranged at an outlet of the total pressure tube, and a second digital barometric sensor is arranged at an outlet of the static pressure tube. The digital atmosphere data computer further comprises an operation amplifier, an analog-digital converter and a signal processing circuit, the input end of the operation amplifier is electrically connected with the signal output end of the temperature sensor, and the output end of the operation amplifier is electrically connected with the input end of the analog-digital converter. The signal processing circuit comprises an FPGA chip and a DSP chip, the input end of the FPGA chip is electrically connected with the first digital barometric sensor, the second digital barometric sensor and the analog-digital converter, and the FPGA chip is electrically connected with the DSP chip.

The disclosed authentication method for IP multimedia subsystem includes steps: after receiving registration message sent from UE, P-CSCF queries attachment information of UE at access network from the determined CLF so as to obtain queried result, and sends registration message together with the queried result to I-CSCF; I-CSCF forwards the registration message to S-CSCF notified by HSS; based on authentication mode obtained from HSS, S-CSCF authenticates UE so as to obtain authentication result, which is sent to UE. It is reasonable that IMS service layer determines authentication mode for user, and S-CSCF accomplishes authenticating procedure. Further, the method not only discloses authentication mode of binding IMS service layer and access layer, as well as discloses the combining mode of the disclosed authentication mode with other authentication modes. Thus, if the disclosed binding authentication mode is in failure, then authentication can be carried correctly.