195results about How to "Reduce variables" patented technology

An electrosurgical system has an electrosurgical generator and a bipolar electrosurgical instrument, the generator being arranged to perform a treatment cycle in which radio frequency energy is delivered to the instrument as an amplitude-modulated radio frequency power signal in the form of a succession of pulses characterized by periods of a least 100 milliseconds between successive pulses and by a predetermined pulse mark-to-space ratio. Energy delivery between pulses is substantially zero and the mark-to-space ratio is typically 1:4 or less. Each burst is of sufficiently high power to form vapor bubbles within tissue being treated and the time between successive pulses is sufficiently long to permit condensation of the vapor. The treatment cycles may each include an initial period and a subsequent period, the pulse duty cycle being increased or energy being delivered continuously in the subsequent period in order that tissue coagulation can be achieved quickly despite increasing tissue impedance.

The invention discloses a differential evadible system of an electric field for an unmanned aerial vehicle polling live wires and a method. The system comprises a polling unmanned aerial vehicle which is provided with an electric field evadible device. The device comprises a DSP (Digital Signal Processor) data processing module and two identical electric field measuring circuits. Each electric field measuring circuit comprises an electric field measuring sensor, a signal processing unit and an A/D (Analog to Digital) conversion unit which are connected sequentially. The A/D conversion unit is connected with an input of the data processing module, an output end of the DSP data processing module is connected with an airborne flight control system. The differential evadible system of the electric field for the unmanned aerial vehicle polling live wires provided by the invention can evade power transmission lines by the unmanned aerial vehicle, avoids collision of the unmanned aerial vehicle and the power transmission lines caused by error of GPS (Global Positioning System) navigation, overlarge gust when the unmanned aerial vehicle polls the live wires, or deviation of a predetermined course of the unmanned aerial vehicle which is not enough in flight altitude in the process of executing the task, the safety of a line patrol system of the unmanned aerial vehicle and the transmission lines is ensured, the reliability of line patrol operation is enhanced, and the safety of personnel, power grids and devices is guaranteed.

The invention, which belongs to the power converter control field of the driving motor, relates to a method for controlling neutral point voltage balance of a three level converter, wherein the method is based on a voltage space vector pulse width modulation technology and is used for controlling a neutral point clamped three level inverter. The method comprises the following steps that: step one, an action time distribution factor of a redundant small vector is obtained; step two, an area where control on a neutral point potential balance can be realized by a nearest three vector (NTV) method is obtained; step three, an NTV action area in a mixed voltage space vector pulse width modulation method is obtained; step four, a switching condition of the mixed voltage space vector pulse width modulation method is designed; and step five, the mixed voltage space vector pulse width modulation method with a proportion of pm is realized. According to the invention, a redundant small vector distribution factor is employed to design a switching condition of a mixed voltage space vector pulse width modulation strategy; therefore, an essence of a space vector modulation method is embodied; themethod can be used flexibly and used variables are less, so that it is beneficial for analysis and development application.

A drive-control-system of electromotive vehicle and drive-control-method of an electromotive vehicle. A system has a condition-determination-process unit that reads a vibration index as a factor causing vibration in the vehicle-drive-system, and determines whether a damping-control-starting-condition is established based on the vibration index, and a damping-control-process unit that performs a damping control process such that a variable of vibration generation is reduced when the damping-control-starting-condition is established.

A method of using infrared thermal imager to diagnose eye diseases including the dry eye syndromeuses an infrared thermal imager to take the surface image of the eyeball of the patient. Temperature variation at a specific position of the cornea of the eyeball is precisely measured in a unit time. An attenuation coefficient K of a temperature dropping curve and a temperature difference ΔT are obtained from the temperature variation. Optimized curves of K and ΔT are provided for the doctor to diagnose the patient's eye disease.

The invention relates to a draining pipeline network optimizing method based on a generalized reverse learning difference algorithm and aims to solve the problems that draining pipeline optimization is complex in calculation and low in calculation precision, and unreasonable and infeasible schemes cannot be excluded thoroughly. The improved self-adaption difference algorithm is utilized to obtain the optimal value of a pipeline manufacturing cost function. The optimal value includes hydraulic parameters such as flow rate, slope and burial depth, satisfying a hydraulic constraint condition, of each pipeline section. A reserve learning method is used for initializing the self-adaption algorithm, the initialized population of the algorithm is processed before variation, probability theory knowledge is utilized to refine initial solution while population number is not increased, population variety is increased, and probability for finding global optimal solution is increased. In addition, few variables are related to the algorithm, variation strategies are selected through self-adaption, and simple algorithm operation, fast convergence and high optimization precision are achieved.

The invention relates to a novel modeling and controlling method of a drain pipe network hydraulics system. The conventional computation method is more time-consuming and not beneficial to real-time control. The novel modeling and controlling method disclosed by the invention is a method for rapidly computing the water depth of a pipeline by utilizing a transfer function model. Through the adoption of the method disclosed by the invention, the regional sewage overflow pollution is minimized on the premise of fully utilizing all water storage equipment of a system so that the urban flood-prevention and anti-waterlogging capabilities are improved; in addition, a basis is settled for the conversion from manual operation to automatic operation of a combined sewerage system; meanwhile, the situation that sewage overflow happens while residual water storage systems are idle at a specific region is avoided; and therefore the regional sewage overflow pollution is finally minimized.

The invention provides a cystatin C detection kit and a preparation method thereof. The kit comprises a reagent R1, a reagent R2 and a cystatin C calibration product, wherein the reagent R1 comprisesa preservative, a surfactant, an emulsifier and a buffer solution; the reagent R2 comprises a cystatin C antibody, polystyrene latex microspheres, a latex microsphere activating agent, a sealing agent, an emulsifier, a preservative, a surfactant and a buffer solution. The cystatin C antibody is slowly dropwise added to an activated polystyrene latex microsphere solution, a polystyrene latex microsphere suspension coupled with the cystatin C antibody is obtained after a stirring reaction, sealing is performed, the antibody and latex microspheres are coupled together in a chemical crosslinking manner, and centrifugation, cleaning and ultrasonic resuspension processes in conventional methods are omitted. The production process is simplified, and the kit has the advantages of low blank absorbency, high sensitivity and precision and large linear range.

The invention discloses a method and device for measuring the contact force of a pantograph and a catenary, belonging to the technical field of the safety of an electrified railway catenary. The basicidea is that a pantograph head is viewed as a beam model, and a corresponding relation between pantograph strain and contact force is established; and according to strain and acceleration data generated by a pantograph sliding plate due to pantograph and catenary state interaction, real-time pantograph and catenary dynamic contact force and pull-out value are obtained. The device comprises a sensor unit, a signal acquisition unit and a data processing unit. The strain of the pantograph is measured to obtain contact force, related variables are few, and an error generated by an intermediate variable is reduced; while the contact force is measured, a catenary pull-out value can be measured; the equipment installation is simple; a fiber strain sensor is adopted, the size is small, the weightis light, the fiber strain sensor can be embedded into the pantograph sliding plate, and the influence on the structure of the pantograph is small; and the method and device are used for measuring catenary-pantograph system dynamic contact force and pull-out value.

The invention provides a mixed integer nonlinear programming model for solving the combination problem of a hydroelectric generating set, and belongs to the field of hydroelectric scheduling operation. The mixed integer nonlinear programming model for solving the combination problem of a hydroelectric generating set is characterized by utilizing a polynomial fitting technology to process the complicated power station nonlinear relation, providing a quartic equation polynomial fitting method of water level-capacity of reservoir-tailwater level-out flow, and based on a quadratic polynomial of head loss of the hydroelectric generating set, describing the generating head of the hydroelectric generating set as a multivariate quartic function of capacity of reservoir and flow; considering aboutthe influence of the head on the output, providing a binary quadratic polynomial method of accurately representing the output head and the generating flow of the hydroelectric generating set, introducing 0-1 variable, solving the startup-shutdown problem of the hydroelectric generating set, obtaining the head-flow-output relation three-dimensional fitting surface of the hydroelectric generating set, and satisfying the fine calculation demand of the output of the hydroelectric generating set under the variation head; and realizing calculation with high efficiency by means of a mature MINLP solver. The mixed integer nonlinear programming model for solving the combination problem of the hydroelectric generating set fully considers the complicated nonlinear relation of the hydroelectric systemand has the advantages of reducing the linear error and significantly improving the solution accuracy, compared with a classic MILP model. Besides, the obtained set combination and load distributionresult can preferably reflect the practical operation situation of the hydropower station.

The invention provides an AC-DC power switching circuit and a repairing and adjusting method thereof. A current limiting circuit of the AC-DC power switching circuit is improved. In the current limiting circuit, a first reference current is generated by using a first resistor and a reference voltage generator, a reference current proportional to the first reference current in a preset second ratio is generated, a comparison current proportional to the induction current in a preset third ratio is generated, and an overcurrent protection signal is produced when the comparison current is greater than or equal to the reference current. Because the generation mode of the reference current is changed, the variables required to be repaired and adjusted in the subsequent repairing and adjusting processing can be reduced, and the repairing and adjusting workload is reduced.

The present invention discloses a model test system and method for seabed seismic wave detection. The model test system includes a model test unit which specifically includes a testbed for simulating a seabed, wherein a module for simulating bedrock and geology is arranged in the testbed; a water source supply unit supplies simulation seawater into the testbed; a sea wave generation apparatus is configured to act on the simulation seawater at different speeds and different forces to generate different sizes of sea waves. The present invention provides support and guidance for the advancing investigation of geologic parameters in a detection area such as distribution situations of faults, a range of landslides, a depth and morphology of a glide plane and the like.

The embodiment of the invention provides a solar product packaging method, relates to the technical field of photovoltaic power generation to solve the problem that a product is extremely prone to a poor lamination phenomenon and the quality of the product is affected due to primary lamination. The solar product packaging method comprises the steps of carrying out prepressing and preheating treatment on a to-be-laminated solar product to form a pre-laminated part; carrying out pressurized heating treatment on the pre-laminated part to form a secondarily laminated part; and carrying out pressurized cooling treatment on the secondarily laminated part to form a set laminated part. The solar product packaging method provided by the embodiment of the invention is applied to a solar product packaging process.

The invention provides an image restoration method based on an aerial TDI-CCD (Time Delay and Integration-Charge Coupled Device) imaging error vibration model. In the method, vibration frequencies are classified into low-frequency vibration and high-frequency vibration without regard to high-frequency vibration; the low-frequency vibration is taken as random vibration, and a low-frequency vibration model is established; the low-frequency vibration is decomposed into displacements in three direction of X, Y and Z on the basis of the low-frequency vibration model, and displacement expressions in the directions X, Y and Z are established; the high-frequency vibration is taken as the simple harmonic vibration of a set frequency in a set direction, and a high-frequency vibration model is established; and imaging errors generated by displacement changes caused by the low-frequency vibration in each direction are respectively corrected by adopting different image restoration algorithms in each direction when software image restoration is carried out. The method can more reasonably simulate the actual situation of aerial imaging, and the models established by the invention can improve the precision of the TDI-CCD image restoration.

The invention relates to the technical field of spacecraft formation reconfiguration, and provides a libration point spacecraft formation reconfiguration method based on a self-adaption agent model. The method comprises the steps that 100, a sun-terrestrial system libration point nearby spacecraft formation controlled kinetic equation is built; 200, according to the spacecraft formation reconfiguration mission requirement, an optimization target is selected to obtain the optimization problem of spacecraft formation reconfiguration; 300, the self-adaption agent model of spacecraft formation reconfiguration is built, and the optimal reconfiguration track of a spacecraft formation is obtained through the self-adaption agent model; 400, the value range of a variable in the self-adaption agent model is narrowed, the step 300 is repeated in sequence, and the validity of the self-adaption agent model is verified. On the premise of the high computational efficiency, the formation reconfiguration result very close to the actual optimal solution can be obtained.

The invention discloses a high-precision discontinuous Galerkin artificial viscous shock wave capture method based on flow field density phase step. The method comprises the steps that a DG high-precision frame is established, an Euler equation is adopted as a governing equation, dissection is conducted on a calculation area by adopting unstructured grids, a high-order HLLC format is adopted for discrete solution of convective terms of the equation, meanwhile the artificial viscous terms are added on the basis of the governing equation, and shock wave capturing is conducted on the basis of ensuring robustness and calculation accuracy. According to the method, adding of the artificial viscous terms is on the basis of phase step on grid cell surfaces, a shock wave detection technology is notneeded, dimensional homogeneity is ensured by adopting a normalized manner, and phase step quantity is allocated into the grid cells; density is adopted as phase step variable to construct artificialviscidity, additional shock wave detection process and the like are not needed, the number of needed variables for constructing an algorithm is small, and the calculation process is simplified; compared with the prior shock wave capture method, shock wave capturing efficiency is improved, iteration steps needed to effectively capture shock waves are significantly reduced, and needed CPU time is significantly reduced.

The invention relates to the technical field of Copper nano-catalyst preparation, in particular to a preparation method of a graphene-loaded copper nanoparticle. The method comprises the following steps of, magnetically stirring the freeze-dried graphene with copper salt water solution at room temperature, filtering, and vacuum drying to obtain the brown cake-shaped solid product. The obtained product is put into a programmable tube furnace for heating and roasting under the protection of inert gas. The preparation process of the method is easy to control and feasible, and the prepared nano composite material can be widely applied to the field of catalyses and the like.

The invention discloses a wind speed prediction method combining a shared weight long short-term memory network (SWLSTM) with Gaussian process regression (GPR). The method mainly comprises the following steps of: simplifying the structure of a standard long short-term memory network (LSTM) by adopting a shared weight; using an Adam optimization algorithm combined with a mini-batch mechanism to train SWLSTM to acquire a wind speed point prediction result with high accuracy; using the point prediction result obtained by the SWLSTM as the input of the GPR, and performing secondary prediction to obtain a wind speed probability prediction result; and selecting a confidence coefficient, and obtaining a wind speed interval prediction result under the corresponding confidence coefficient through Gaussian distribution. According to the prediction method disclosed by the invention, the training time of the LSTM is shortened by sharing the weight, and the SWLSTM is enabled to be capable of performing probability prediction and interval prediction by combining the GPR. SWLSTM-GPR can obtain a high-precision wind speed point prediction result, a suitable wind speed interval prediction result and reliable wind speed probability prediction distribution, which is of great significance for wind power planning and application.

The invention discloses a novel fault diagnosis method of a modular multilevel inverter based on extended state observation. In the stage of fault detection, an extended state variable observed value which is magnified and filtered is compared with an extended state variable calculated value which is filtered in a hypothetical normal working condition by an output matching module, and whether the modular multilevel inverter has faults is determined according to comparative results; in the stage of determining fault positions, extended state variable calculated values which are filtered in hypothetical fault positions are respectively compared with the extended state variable observed value which is output by an observer module and is magnified and filtered by the output matching module, and the fault positions of the modular multilevel inverter are determined according to comparative results. The novel fault diagnosis method aims to determine whether the modular multilevel inverter has the faults by utilizing an extended state observer and reversed switch state variables, and if the faults occur, the fault positions can be quickly and accurately determined.

The invention provides a distributed transmission and distribution cooperative unit combination method based on DC power flow equivalence, which comprises the following steps: a transmission and distribution joint system is decomposed into a transmission system, a boundary system and a distribution system, and based on a DC power flow equivalence algorithm, a transmission system sub-optimization model and a distribution system sub-optimization model are established; optimizing the transmission system sub-optimization model and the distribution system sub-optimization model; The constraint conditions of transmission system and distribution system are established, and the D-TDCUC model; An alternating direction multiplier method is used to calculate the D. The TDCUC model is solved to obtainthe results of the distributed transmission and distribution cooperative unit commitment. The invention combines the ADMM algorithm with the DC power flow equivalent method, eliminates the node voltage phase angle variable in the transmission system and each distribution system model, reduces the equation quantity and the variable number of the transmission system and the distribution system model, improves the calculation speed of each iteration of the distributed algorithm, and is convenient for practical engineering application.