341results about How to "With memory function" patented technology

The invention discloses a multifunctional intelligent clothing care machine. The machine is characterized by comprising a box body, wherein an air exhaust port is formed in the top part of the box body; a water tank and a water draining box which intercommunicate are arranged at the bottom part of the box body; a recognizing module, a washing module, a drying ironing or hanging ironing module provided with an intelligent algorithm system, and a caring module are arranged in the box body and are connected to an information storing and control module. According to the multifunctional intelligent clothing care machine, proper clothing stain removing program, washing program, drying program, ironing or hanging ironing program and casing program are accurately set; the clothing information recognizing and the stain type recognizing are intelligently combined; the care efficiency can be increased based on washing protecting models and intelligently-matched caring program, and meanwhile, the damage to the clothing appearance and physical and chemical performances can be decreased to the maximum. Therefore, common clothing and high-level clothing can be handled, and moreover, some clothing to be subjected to dry cleaning can be handled. The machine is high in automation degree; after a use puts clothing into the machine, the machine can automatically perform all tasks such as washing, drying, ironing and caring.

The invention discloses an access level network topology management method and an access level network topology management system. The method comprises the following steps that a gateway network element in a network obtains the connection relationship between the network topology and the network element in the whole network, and a topology tree adopting the gateway network element as a root node is generated according to the obtained connection relationship between the network topology and the network element; the gateway network element records and maintains all topology node information in the topology tree, wherein the topology node information at least comprises the network element level and the network element state. The invention provides a topology management method based on topology automatic discovery and automatic management of a main control disc, and the automatic collection and the maintenance management on the whole network topology are preferably realized.

The present invention provides a line wakeup control method, including the following steps: the tread wakes up and runs to check whether there are armed tasks or not. If there are, the armed tasks are implemented and the line dormancy time is reset as Delta t of the preset minimal unit time interval. Otherwise, the sum Delta at of the latest two dormancy time intervals is computed and set as line dormancy time interval . The present invention achieves a short service line dormancy interval when there are a plurality of armed tasks and a long interval when armed tasks are few, avoid wasting the system resources and reasonably solving the contradiction between task processing efficiency and system resource waste.

The present invention relates to one kind of biodegradable medical extracorporeal fixing material with shape memory function. The material is polylactic acid and may have added copolymer of epsilon-caprolactone and lactide-epsilon-caprolactone, inorganic mineral, silane as cross-linking agent, coloring agent and other components. It may produced into plate through mixing, pelletizing, extruding, rolling and other steps; or into netted structure through mixing, pelletizing, extruding, weaving and other steps. When it is used, the biodegradable medical extracorporeal fixing material is first softened in warm water at 55-70 deg.c, then fixed in the required position and finally hardened after the temperature is lowered to room temperature. The present invention has excellent permeability, good water tolerance, high strength, shape memory function, capacity of being reused, no irritation to skin, degradability and other advantages.

The invention relates to an automatic intelligent household cabinet and an assembly method thereof. The household cabinet comprises a cabinet body, wherein the cabinet body comprises a frame; an outer mask is arranged on the frame; a cabinet door opening is formed in the outer mask over against a person; a plurality of movable storage boxes are arranged in the cabinet body; suspension shafts are symmetrically mounted on the two sides, over against the person, of each storage box; chain transmission systems are arranged on the two symmetric sides of the cabinet body; each suspension shaft is connected with the chain transmission system in a corresponding direction; each chain transmission system comprises a plurality of chain wheel and two closed first chains; each of the upper end and the lower end of each side of the cabinet body is connected with a chain wheel; the closed first chains are connected with the chain wheels at the upper ends and the lower ends; the first chains perform transmission through the chain wheels; and the chain transmission systems are connected with a power device. The household cabinet is extensive in application, and is particularly suitable for a shoe cabinet, a clothes cabinet, a kitchen cabinet, a book cabinet, a wine cabinet, a sundry cabinet and the like.

The invention discloses a cement finished product specific surface area prediction method and system based on a long-term and short-term memory network. The method comprises the following steps: sorting training input data in a training input set according to a time sequence; inputting the sorted training input set into a pre-constructed long-term and short-term memory network model to obtain a cement finished product specific surface area prediction value at each moment; calculating a node error term of each neuron by adopting a time-based back propagation algorithm according to the trainingoutput set and the cement finished product specific surface area prediction value, wherein the node error term comprises a forgetting gate error term, an input gate error term and an output gate errorterm; training the to-be-trained parameters by adopting a random gradient descent method according to the node error term to obtain a trained long-term and short-term memory network model; and inputting the to-be-tested input set into the trained long-short-term memory network model to obtain a to-be-tested cement finished product specific surface area prediction value. The accuracy of cement finished product specific surface area prediction can be improved.

The invention relates to a fractional-order KiBaM electrochemical and fractional-order equivalent circuit comprehensive characteristic battery model and a parameter identification method thereof. A model is modeled by a fractional calculus principle so as to be provided with more degree of freedom and more flexibility and innovation. The introduction of the fractional order provides many new phenomena and rules and achieves superiority that cannot be achieved by a conventional integer-order battery model. The KiBaM electrochemical model and the equivalent circuit model are both generalized to the fractional order. Model parameters and orders at different SOC positions are identified on the basis of the least square method. Thus, a variable-order fractional-order battery model based on SOC is obtained so as to realize the advantage complementation of the battery KiBaM electrochemical model and the second-order RC equivalent circuit model. The nonlinear capacity effect and the running time and the output I-V external characteristics of the battery can be described simultaneously, the comprehensive simulation of the internal characteristics and the external characteristics of the power battery is achieved, and a high application value is achieved.

The invention discloses a sheet hydraulic-forming hydraulic press which is characterized by essentially comprising an underbeam, an upright post arranged on the underbeam, a top beam arranged on the upright post, a stretching beam connected on the upright post in a sliding manner, a compound master cylinder arranged on the top beam, a coaxial link deep-drawing and blank holding device arranged bellow the stretching beam, a liquid chamber arranged on the underbeam, a support oil tank which comprises a hydraulic power control system, a supercharger, etc. The underbeam, the upright post and the top beam are connected together by upright post nuts to form a rigid body; the compound master cylinder is essentially composed of a cylinder body fixed on the top beam, a master cylinder piston arranged in the cylinder body, a quick rod bush arranged on the master cylinder piston, a quick rod arranged in the rod bush, an embedded bank holding cylinder piston arranged in a master cylinder piston and flanges arranged at the mouth of the cylinder body; the master cylinder piston is connected with the stretching beam by the flanges; the embedded bank holding cylinder piston is connected with the coaxial link deep-drawing and blank-holding device which is essentially composed of a drawing slide, a blank holding slide which is coaxially connected to the drawing slide and is connected with the embedded bank holding cylinder piston and a male die which is fixed on the drawing slide. Compared with the prior art, the hydraulic press of the invention has the advantages of possessing dies with universality, reducing die cost and shortening production cycle.

The invention provides an HEPA. The HEPA is characterized in that: the HEPA comprises a pedestal, a housing and a controller; the housing is arranged on the pedestal; two side surfaces of the housing are respectively provided with an air inlet; an air outlet is arranged at the front of the housing; a central skeleton is arranged in the housing; a primary filter screen and a high efficiency filter of the HEPA are arranged between the central skeleton and each one of the two sides of the housing; the primary filter screen is positioned on the outside of the high efficiency filter of the HEPA; a central air processor, a motor and a UV tube are all arranged on the central skeleton; fan blades are arranged on the motor; the central skeleton is provided with an air return loop; a control panel which is arranged at the front of the housing is connected with the controller; and a central processor is arranged in the controller. The HEPA of the invention which has the characteristics of fast air processing speed, high efficiency, good effect, and low power consumption allows the air purifying processing to be automatically started according to detected air quality parameters, and automatic correction and memory functions to be possessed.

The invention provides an automatic continuous restarting method based on a Linux system and belongs to the computer technology. The automatic continuous restarting method comprises the following specific realization steps that a Linux operation system is arranged on a test machine, and the operation system is started and logged in; test program is copied to any catalogue, and the programs are set to be automatically started; the program is operated, and preset restarting times are input; the test machine continuously operates, and the test is restarted for N times; and after the test completion, a register file is checked, the restarting times, the restarting time points and the memory capacity are recorded in the records of the file, and the whole test process is completed. Compared with the prior art, the automatic continuous restarting method based on the Linux system has the advantages that the program has the memory function, when a server meets the accident power failure condition, the program still starts to be continuously executed from the last restarting sequence after being electrified again, the data cannot be lost, the recorded data is detailed, and the condition of the test machine can be mastered through the data.

The invention discloses a robot demonstration teaching method based on meta-imitation learning, and relates to the technical field of machine learning, and the method comprises the steps: obtaining arobot demonstration teaching task set; constructing a network structure model and obtaining a self-adaptive target loss function; in the meta-training stage, learning and optimizing a loss function and initialization values and parameters of the loss function by using an algorithm I; in the meta-test stage, learning the trajectory demonstrated by the expert by using an algorithm II to obtain a learning strategy; taking the expert demonstration track as input, in combination with a learning strategy, generating a robot imitation track by utilizing the network structure model, and mapping the robot imitation track to the action of the robot in combination with the robot state information. According to the method, a new scene can be rapidly generalized from a small number of demonstration examples given by expert demonstration, specific task engineering does not need to be carried out, and the robot can self-learn strategies irrelevant to tasks according to the expert demonstration, so that a track is generated, and one-time demonstration and rapid teaching are realized.

The invention relates to a method for preparing an apiolin molecularly imprinted polymer, comprising the following steps: dissolving apiolin and a functional monomer of 1 mol fraction of template molecule according to the mole ratio of 1:4-1:10 in 40 parts by volume of butylene oxide of a pore-foaming agent; vibrating away from light at constant temperature for 6h; then adding ethylene dimethacrylate as a crosslinking agent, the amount of which is 4-7 times of that of the monomer, and azodiisobutyronitrile as an initiating agent, the quality of which is 1 percent of that of the monomer and thecrosslinking agent, and completely mixing; sealing after N2 is introduced to remove oxygen; carrying out thermal-initiated polymerization at the temperature of 40-60 DEG C for 24-48h, and then obtaining a rod-shaped solid polymer; rubbing and then sieving the polymer; utilizing a methanol/acetic acid (v/v=6:4) eluent to elute so as to remove the template molecule; putting in a vacuum drying cabinet and then drying until constant weight, and then obtaining the apiolin molecularly imprinted polymer. The apiolin molecularly imprinted polymer prepared by the method has specific identification ability and selective adsorption performance on apiolin. Compared with common sorbents, the polymer has the advantages of accuracy, rapidness and sensitivity. Moreover, the polymer has high percent recovery, good repeatability and long service life, thereby having wide application prospects.

The invention relates to a formable polylactic resin composition. The composition consists of the following components in percentage by weight: 20 to 70 percent of polylactic resin, 5 to 50 percent of polyethylene resin, 5 to 20 percent of plasticizer, 3 to 20 percent of inorganic filler, 0.5 to 10 percent of compatilizer, 0.1 to 2 percent of lubricating agent and 0.1 to 2 percent of antioxidant. The invention also relates to a method for preparing a plastic strip from the polylactic resin composition. The method comprises the following steps of: A, mixing; B, injection forming; and C, hot-press forming. The polylactic resin composition is biologically degradable, has superior mechanical property, ductility and high roughness and can be used for preparing the formable plastic strip; and the preparation method has the advantages of simple process flow, high processing performance, low cost and capability of realizing large-scale industrial production.

The invention discloses a network transaction fraud detection system based on a twin neural network. The input data of the network transaction fraud detection system is composed of a group of data pairs. The network transaction fraud detection system is composed of two neural network models with the same structure, and the two neural network models achieve the twinning purpose by sharing weights.The network transaction fraud method based on the twin neural network has a very good experimental effect; according to the method, for the problems of time sequence sparsity and data imbalance in network transactions, a twinning structure is used for processing unbalanced data, and an LSTM structure is used for enabling a network to have a memory function, so that the detection capability of thenetwork on fraud transactions is improved.

The invention discloses a site selection and constant volume optimization planning method for an energy storage device in a comprehensive energy system. According to the method, when an energy storagedevice is connected to a power distribution network node, an energy storage site selection multi-objective optimization model taking node voltage fluctuation, system load fluctuation and minimum energy storage configuration cost as objectives and taking power grid safety constraint, system operation power balance constraint, heat supply network constraint, cooling network constraint and energy storage operation constraint as constraints is established. In the model solving process, a fitness and interest difference sorting method is applied, weighting coefficients of different target functions are set through a quantitative method, the multi-target function optimization problem is integrated into a single-target function optimization problem, and the optimal access position and the optimal configuration capacity of the energy storage device are obtained through solving by using a particle swarm algorithm of simulated annealing.

The invention relates to a control system and method of the digital control machine which is characterized in that it uses the contact screen to displace the CNC, wherein the contact screen comprises a data input module, a data storage module and a data processing compute module; it uses the communicating interface to communicate with the PLC to achieve the coordinate axis location control with the locating accuracy 0.002mm; the contact screen also comprises a switch module, a choosing module, a monitoring module and a data following display module.

The invention relates to a method for directly purifying tetracycline in samples containing water by utilizing molecular imprinted polymer in the technical field of biotechnology. The steps are: the template molecule of tetracycline, the functional monomer of methacrylic acid, mediated imprinted metal ions and the crosslinker of ethylene glycol dimethacrylate are mixed and dissolved in a pore-generating agent, and an evocating agent is added, the mouth is sealed, after the compositive polymer is mashed, the minute grains are removed, the template molecule is removed by extraction, the polymer in which the template molecule is removed is dried and stays overnight, and the molecular imprinted polymer of tetracycline is obtained; the molecular imprinted polymer of tetracycline is filled in a solid-phase extraction pillar canal; the solid-phase extraction pillar canal is activated and pre-treated, a urine sample treated by KH2PO4 is added, and the tetracycline is leached and purified through the solid-phase extraction pillar canal. The method is characterized by high selection, high specificity, harmful environment resistance and the direct application in water environment.

The invention relates to a preparation method of nanometer silicon gel surface gastrodin molecular engram polymers, which belongs to the technical field of biochemical engineering. The preparation method of the invention comprises the following steps: dissolving template molecules of gastrodin and functional monomers of alpha-methacrylic acid into hole forming agents of methanol; sufficiently mixing the materials under the conditions of constant temperature and light shielding to obtain mixed liquid; adding silanization nanometer silicon gel particles, cross linking agents and catalytic amount triggering agents into the mixed liquid; carrying out repeated ultrasonic treatment after sufficient and uniform mixing; introducing nitrogen gas for deoxygenation; sealing the materials; carrying out reaction for 6h in water bath of 50 DEG C; then, carrying out reaction for 24h at 60 DEG C to obtain solid polymers; adopting a Sohxlet extraction method for extracting the solid polymers for more than 48h; carrying out elution for removing template molecules; drying the polymers till the constant weight after the extraction is completed; and obtaining the silicon gel surface gastrodin molecular engram polymers. The molecular engram polymers prepared by the invention have specific identification capability and selective absorption performance on the gastrodin. Compared with ordinary absorping agents, the molecular engram polymers prepared by the invention have the advantages of accuracy, high speed and sensitivity.

The invention discloses a multistage passive optical network fault monitoring system and an implementation method. The multistage passive optical network fault monitoring system comprises a parameter setting unit, an optical switch control unit, a parameter acquisition unit, a node setting unit, a measurement and analysis unit and a display unit, wherein the parameter setting unit is used for setting measurement parameters; the optical switch control unit is used for switching channels used for measurement; the parameter acquisition unit is used for acquiring reference data according to the measurement parameters and an optical switch; the node setting unit is used for setting network nodes for the reference data; the measurement and analysis unit is used for conducting measurement again and carrying out event analysis according to the reference data, the network nodes and data measured again to obtain result data; the display unit is used for displaying the result data and the running state which is monitored currently in a diversified mode. By means of the multistage passive optical network fault monitoring system and the implementation method, fault monitoring of a multi-path multistage passive optical network through an OTDR is achieved, and universality, cross-platform and the like of current optical fiber measurement software are realized.

The invention discloses a stand-in robot which comprises a stand-in end and a remote control end which are in wireless communication. Under the control of the remote control end, the remote end senses the surrounding environment of the stand-in end in an immersive mode, and motion and interaction between the remote end and the surrounding environment of the stand-in end are achieved. The stand-in end comprises a VR vision module, a motion module and a first communication module. The VR vision module restores video streams in the complete vision range of a left eye and a right eye through a gyroscopic sensor and a head-mounted displayer by means of a panoramic stereoscopic video camera and covers the sensing range of human eyes, and an operator of the remote control end uses the head-mounted displayer and neck motions to achieve stereoscopic 360-degree total view.

The invention relates to a method for self-calibrating a zero position of a fine and coarse machine of a double-channel multi-polar rotary transformer, which is characterized by comprising the following steps of: measuring code values theta fine' and theta coarse' of fine and coarse channels of the double-channel rotary transformer at a calibrating time T; measuring code values of theta fine and theta coarse of the fine and coarse channels at any time t after the double-channel rotary transformer is calibrated; calculating code values of theta coarse'' and theta fine'' of the fine and coarse channels of the corrected double-channel rotary transformer; and calculating to obtain a current real angle according to theta real=f1(theta coarse'', theta fine'', p). The method disclosed by the invention is used for simultaneously correcting the two channels to find out the zero position of the certain channel without rotating the rotary transformer.