3017results about How to "Efficiency" patented technology

An electrosurgical electrode and electrosurgical generator system utilizing the same are disclosed capable of controlling or limiting the current per arc in real-time during an electrosurgical procedure. The conductive electrosurgical electrode is configured for being connected to an electrosurgical generator system and has a non-conductive, porous ceramic coating that “pinches” or splits the arc current generated by the electrosurgical generator system into the smaller diameter pores of the coating, effectively keeping the same current and voltage, but creating several smaller diameter arcs from one larger diameter arc. This has the effect of separating the arc current, effectively increasing the current frequency, resulting in a finer cut or other surgical effect. That is, the non-conductive, porous ceramic coating enables a low frequency current to achieve surgical results indicative of a high frequency current, while minimizing or preventing thermal damage to adjacent tissue.

The present invention is a power load forecasting method based on big data technology and a research application system based on the method. With the support of big data technology, a variety of mature open source products are integrated to form a data source, data integration, data storage, Data calculation, data analysis, implementation of electrical load characteristic analysis and electrical load forecast analysis. The invention effectively improves the efficiency of mass data processing, and solves the limitations of traditional statistical analysis assumptions and judgments. It can scientifically and accurately predict the electricity demand of the future power, which is conducive to the peak-shaving and valley-filling and stable operation of the power grid, and provides decision-making support for the company's power grid planning, equipment maintenance, and power deployment.

The invention provides a zero-discharge treatment method of salt-containing organic wastewater. The method comprises the following steps that biochemical treatment and filtering treatment are performed on wastewater; then, membrane concentration is performed; pure-water-producing high-organic-matter-content membrane concentration concentrated water and optional low-organic-matter-content membrane concentration concentrated water are obtained; the high-organic-matter-content membrane concentration concentrated water is used for high-grade oxidation treatment; high-grade oxidation produced water is used for regulation treatment to obtain high-grade oxidation outlet water; the obtained high-grade oxidation outlet water is subjected to evaporation treatment; or the obtained high-grade oxidation outlet water and the low-organic-matter-content membrane concentration concentrated water are mixed under the condition that the low-organic-matter-content membrane concentration concentrated water exists in the step, and then, the evaporation treatment is carried out; external discharge concentration liquid of an evaporator and / or high-salt-content high-organic-matter-content wastewater discharged during the tank brushing of the evaporator are conveyed back into a high-grade oxidation treatment unit; after the liquid is mixed with the high-organic-matter-content membrane concentration concentrated water, the high-grade oxidation treatment is carried out. The wastewater treatment method is stable and reliable; the long-period and stable operation of an evaporation system can be ensured; the zero discharge of the industrial wastewater is realized.

The invention proposes an intelligent vehicle traveling speed and time predication method based on a macro city traffic flow. Firstly the road and environment related variables in a driving environment are selected and quantified, secondly a GIS database of intelligent vehicle autonomous driving is established, thirdly combined with a regression analysis method, the combination rule of the key variables in the driving environment is provided, and the multiple-element linear relationship of intelligent vehicle driving speed and road design parameter, traffic condition and real-time road condition in a city traffic network is obtained, fourthly, based on the VLM model of the macro city traffic flow theory of a trapezoid density-flow basic pattern, the dynamic and stable characteristics of the VLM model of a road are obtained, and the speed and time evaluation function of the macro city traffic flow is given, and finally combined with the multiple-element linear vehicle speed model of the road in different vehicle flow density and initial states, the driving speed constraint equation of an intelligent vehicle in a city road network is obtained, and the optimal driving speed and travel time which satisfy a target function are obtained.

The invention discloses a sounding reference signal resource allocation method, a system and a device, which belong to the field of the mobile communication. The method comprises the following steps that: the present community area of the user terminal UE is obtained; the frequency band resource which is allocated in the community area according to the inter-cell interference coordination ICIC algorithm is of an SRS resource which is allocated to the UE. The system comprises a base station. The device comprises a base station device. According to the restriction of the UE usable frequency band and the physical layer real-time interference measurement result of the ICIC algorithm, the accuracy and the validity of the SRS resource allocation are improved, and reference is provided to the service coordination by transmitting the quality of SRS sounding sub-channel.

A method for providing an application cluster service (APCS) with fault-detection and failure-recovery capabilities. This method is composed of the steps of nodes clustering, invoking and detecting applications, fault-recovery of applications, detection of nodes, and node replacement. This method is applicable in a clustered environment to detect if a slave node is failed by sending a heartbeat periodically from a master node; and to detect if the master node still exists by checking if the master node stops sending the heartbeat (i.e. the master node may be failed).

Machine, methods, and computer program encoded on non-transitory memory for facilitating electronic inventory tracking and management of products through messaging over an existing financial services payment network are provided. An example includes an inventory management computer in communication with a merchant POS apparatus or terminal over an existing financial services payment network and configured to receive and process purchase transaction data associated with a product being purchased. The computer can also include, for example, electronic inventory management computer program configured to perform various operations including generating product identifiers, forming product look up tables to correlate the identifiers with the products, and providing inventory data to product providers.

The present invention describes recombinant adenoviral vectors modified by incorporating targeting ligands or label into viral capsid or structural proteins. In one embodiment, single-chain antibody was introduced into the minor capsid proteins pIIIa or pIX so that the adenoviral vector can be targeted to a particular cell type. In another embodiment, there is provided a noninvasive imaging strategy useful for monitoring the replication and spread of conditionally replicative adenoviral vectors. Viral structural proteins such as pIX capsid protein, core proteins mu, V and VII were expressed as fusion protein with a fluorescent label. Once incorporated into the virions, detection of the structural fusion protein label would indicate the localization of the disseminated viral progeny. The detected fluorescent signals also closely correlate with the level of viral replication and progeny production.

An LED apparatus is disclosed. The LED apparatus includes a substrate, a cup structure, and a dividing structure. The dividing structure divides a containing space formed by the cup structure into a first region and a second region. A first blue-light chip and a first package colloidal are disposed in the first region and a second blue-light chip and a second package colloidal are disposed in the second region. A green-light phosphor is mixed in the second package colloidal to completely convert a monochromatic emission spectrum of a second blue-light band of the second blue-light chip into a monochromatic emission spectrum of a green-light band. The green-light phosphor is selected from one of silicate, oxynitride, lutetium aluminum oxide, and calcium scandium oxide.

The invention discloses an autonomous parking system based on multi-vision inertial navigation integration. The autonomous parking system comprises a binocular vision SLAM module, a round looking parking detection module and a decision and control module, wherein the binocular vision SLAM module is used for generating a parking lot simulating map by acquired parking lot images through the multi-vision inertial navigation integration, obtaining real-time positioning information of a vehicle under a coordinate system of the parking lot simulating map, and transmitting the real-time positioning information to the decision and control module; the round looking parking detection module is used for acquiring current position data of the vehicle for current environmental distinction detection, and transmitting the testing result to the decision and control module; and the decision and control module is used for making a vehicle autonomous parking strategy according to the received geographicpositioning information of the vehicle in the parking lot simulating map and the current environmental distinction parameters. The invention also discloses an autonomous parking method based on the multi-vision inertial navigation integration. The autonomous parking method is used for realizing the autonomous parking system.

The invention discloses a process for synthesizing natural gas by methanation of coal synthesis gas, which comprises the following steps of: dispersing a fresh methanation catalyst into an inert liquid medium, delivering the medium into a slurry bed methanation reactor to perform reduction, performing methanation reaction on the transformed methanation raw gas after the reduction is finished, delivering the tail gas to a gas-liquid separator I, discharging the slurry liquid component and the catalyst in the tail gas from the bottom of the gas-liquid separator I, discharging the gas phase in the tail gas from the top of the gas-liquid separator I, delivering partial slurry liquid component containing the catalyst into a gas-liquid separator II, discharging the gas phase from the top of thegas-liquid separator II, merging the gas phases discharged from the tops of the gas-liquid separators I and II, cooling and purifying the gas phases to obtain synthesized natural gas, discharging theslurry liquid component containing the catalyst from the bottom of the gas-liquid separator II, merging the slurry liquid component discharged from the bottom of the gas-liquid separator II and the slurry liquid component and the catalyst discharged from the bottom of the gas-liquid separator I, discharging 1 to 5 percent of the weight sum of the slurry liquid component and the catalyst separatedfrom the two gas-liquid separators, and performing methanation reaction on the cooled rest slurry liquid component and catalyst and the fresh methanation catalyst dispersed into the insert liquid medium together. The process has the advantages of low power consumption and low equipment investment, and is easy to operate.

The invention relates to an X-ray imaging weld detection method based on depth learning. The method comprises the following steps: step S1, screening and arranging the original X-ray imaging weld digital images, labeling the images on the weld area, and completing the production of a sample image set; S2, finely tuning the sample image set by using the ResNet 101 network pre-trained on the ImageNet to complete the initialization of the model; S3, respectively training an RPN convolution neural network and a fast RCNN convolution neural network for generating candidate regions by using the prepared sample image set to obtain a trained detection model; S4: Input the picture to be detected into the trained detection model and output the detection result. In accordance with that prior art. Theinvention fully utilizes the high-efficiency feature extraction ability of the ResNet 101 basic network and the high-precision advantage of the Faster RCNN convolution neural network for image recognition, avoids misjudgment and omission caused by manual evaluation subjectivity, and has the advantages of high robustness, high accuracy and low omission detection rate.

The invention provides a bounding box and space partitioning-based virtual object collision detection method. The method includes the following steps that: virtual object collision pre-detection is performed on two irregular virtual objects; region segmentation is performed on a region to be detected; intersection testing is performed in the sub regions segmented from the region to be detected; virtual object collision detection is performed by using a point vector set representing a moving virtual object and a triangular surface representing a virtual object which does not require assembly at present; and if the virtual objects intersect with each other, the virtual objects collide with each other, otherwise, the virtual objects do not collide with each other. According to the bounding box and space partitioning-based virtual object collision detection method of the invention, a collision detection range of a space is narrowed through using the spatial correlation of the virtual objects, so that time consumption can be reduced, and at the same time, the detection efficiency of the method and the geometric accuracy of collision detection are greatly improved; a bounding box is reduced into the triangular surface and the points, so that the misjudgment of the collision detection can be decreased; and a collision detection process is refined to the interference between the triangular surface and the points, and separate detection is carried out, and therefore, detection efficiency can be greatly improved.

The invention relates to a direct-current micro-grid system and a control method thereof. The direct-current micro-grid system comprises a direct-current power distribution circuit, a bi-directional AC / DC (alternating current / direct current) rectifying / inverting device, a distributed energy generating device, an energy storing device, direct-current loads, alternating-current loads, a urban microclimate interactive system, a clock interactive system, a micro-grid control system and micro-grid protecting devices, an upper scheduling management system is arranged in the micro-grid control system so as to form layered management for micro-grid energy. The direct-current micro-grid control method includes: entering a grid connection mode or an island model according to working state of a large power grid, and determining the working states of the energy storing device and the distributed energy generating device according to information of the urban microclimate interactive system and the clock interactive system. The direct-current micro-grid system can independently supply power to the alternating-current and the direct-current loads and can be connected with a power grid to generate power according to processed result of urban microclimate interactive information, so that requirements on power supply for users are met, cost is reduced, designing, controlling, operation and maintenance of a micro-grid are benefited, and reliability, economy and efficiency of the micro-grid are effectively improved.

The invention discloses a short-term load forecasting method, and belongs to the technical field of power systems. Aiming at the problems that mass data have too much noise, are long in training time and are easily trapped in local minimum or over-fitting and the like in the prior art, the method comprises: performing cluster analysis on historical load data to generate a typical load curve, and digging the generality of mass historical load data to achieve the effect of screening and training data for later load forecasting, thus eliminating the noise influence of the mass data; performing strong fitting of a complex nonlinear function by deep learning to solve the problems of over-fitting and local minimum of a conventional neural network, thus realizing accurate and quick short-term load forecasting; and further constructing a forecasting model by using a distributed memory computation framework Spark, thus improving the efficiency and the instantaneity of the whole short-term load forecasting flow. Compared with the prior art, the method can realize accurate and quick short-term load forecasting.

A gas turbine generating system and its process of separating CO2 with LNG is to compress ING by booster pump to be heated and gasified in LNG gasifier to charge to cold natural gas by expansion turbine, a part enters into the gas turbine combustion chamber as fuel and the rest most part is transported to outside users. Cold N mixed with air enters into a compressor, to be heated in a reheater then enters into a combustion chamber to generate burning reaction with natural gas to generate high temp gas to enter into the turbine expansion. Turbine exhaust is cooled in the reheater, and cooled by hot net heater and cooled further in LNG gasifier and remained N is expelled about environment temp, condensed water is recovered to solid CO2.

An environment analogue means for surface freezing of airplanes on ground. The means comprised an experiment case and a suspension positioning device installed inside or outside of the experiment case, an air cycling device, a spray system, an ice clearing liquid spray system, an illumination system, a refrigeration system, a data acquisition system and a control system. The invention provided environment analogue means for surface freezing of airplanes on ground can simulate freezing weather condition of natural environment in truth, Observing processes of ice increasing, ice melting and iceclearing liquid spraying on airplane surface, Thereby rules of icing on airplane surface in different weather condition can be obtained, Which can provide experiment basis for research of airplane surface icing and airplane surface ice proofing / deicing, Finally improving security and high effectiveness of airplane operation in icing weather condition.

The invention relates to a rapid and intelligent public transportation three-dimensional monitoring and controlling device and an operating method thereof, which belongs to the technical field of public transportation. The device comprises a monitoring and controlling dispatching center, a vehicle mobile monitoring and controlling terminal and a platform fixed monitoring and controlling terminal, wherein, the vehicle mobile monitoring and controlling terminal and the platform fixed monitoring and controlling terminal are connected with the monitoring and controlling dispatching center through an Internet and a WiMAX network. The method comprises the following steps: the vehicle mobile monitoring and controlling terminal and the platform fixed monitoring and controlling terminal are set, the video information inside the bus, the video information for the platform environment and the passengers on the platform as well as the relevant GPS information are gathered in a real-time manner and transmitted based on the WiMAX network, and the vehicle mobile monitoring and controlling terminal performs the interactive function of intelligent bus stop announcement and scheduling information at the same time. By using the realized three-dimensional monitoring and controlling and dispatching, not only the security of bus running and the intelligence of bus stop announcement can be enhanced, but also the real-time grasping of the control center to the number of the passengers can be improved, and the allocation of the rapid bus vehicles can be performed according to the passenger flow volume, and the scheme and the support method are provided for the automation, the safety running and the management of the rapid bus system.

The invention discloses an explicit congestion control method based on bandwidth estimation in a high-bandwidth delay network, which comprises the following steps of: calculating the current available bandwidth of a network by a TCP (Transmission Control Protocol) sender through observing an ACK (Acknowledgement Character) receiving interval, loading a router by a packet header ECN (Explicit Congestion Notification) 2bits information feedback network, carrying out network state judgment by the sender through explicit feedback information and estimated available bandwidth values, and adjusting a congestion mechanism according to a judgment result. The congestion is judged by combining end-to-end feedback and router explicit feedback, i.e. finer congestion information is given by using the bandwidth estimation values based on the explicit feedback of coarseness, thus an algorithm ensures high congestion feedback precision while reducing the explicit feedback overhead and improving the protocol popularization, and improves the efficiency and the convergence rate of the protocol.

The invention provides a skin laser treatment auxiliary robot and an auxiliary method thereof. The skin laser treatment auxiliary robot comprises an accurate positioning mobile robot, a therapeutic instrument laser probe, a visual identification and control system, a range finding device and a safety device. The therapeutic instrument laser probe is installed at the front end of the tail position of the mechanical arm of the accurate positioning mobile robot. The range finding device is installed at the side surface of the therapeutic instrument laser probe. The CMOS probe of the visual identification and control system is installed at the other side surface of the therapeutic instrument laser probe. The safety device is installed at the front end of the therapeutic instrument laser probe. The measured value outputted by the range finding device and the sensing signal outputted by the safety device are connected with the input end of the visual identification and control system. Output of the visual identification and control system is connected with and controls the accurate positioning mobile robot. Manual operation on a skin laser therapeutic instrument is replaced by the accurate positioning mobile robot so that the skin laser treatment auxiliary robot and the auxiliary method thereof have advantages of high degree of automation and accurate positioning and movement, and high-curative-effect, high-efficiency, safe and reliable skin laser treatment can be guaranteed.

The embodiment of the invention discloses synchronous method, apparatus and system for a distributed database. The synchronous method of the distributed database comprises the following steps of: updating a local database of a first node by the first node according to a user request, generating a synchronous operation message and sending the synchronous operation message to a central node; updating a central database by the central node according to the synchronous operation message sent by the first node, generating a data synchronous mark, feeding back the data synchronous mark to the firstnode and sending the synchronous operation message and the data synchronous mark to the other nodes; and updating the local database of the other nodes by the other nodes according to the synchronousoperation message. By adopting the embodiment of the invention, the data synchronization of the distributed database is more reliable and more effective.

The invention discloses a permanent magnetic direct-drive type offshore wind power plant grid-connected system topology structure and a control method thereof. A grid-connected system comprises a DC bus current collection type wind power plant, a wind field network-side converter station, a dual-stage boost transformer, an offshore rectification station, a seabed DC cable, a shore inversion station, a grid-connected side boost transformer and a land power grid which are successively connected, wherein the DC bus current collection type wind power plant employs a DC bus current collection topology structure and comprises multiple groups of wind turbines which are successively connected, a permanent magnetic synchronous generator, a machine-side rectifier and a DC bus for current collection. The control method is that the machine-side rectifier employs dual-closed-loop control of a rotating speed outer loop and a current inner loop, the wind field network-side converter station employs dual-closed-loop control of a voltage outer loop and the current inner loop, the offshore rectification station employs control of fixed AC voltages and fixed frequencies, and the shore inversion station employs dual-closed-loop control of fixed DC voltages and fixed reactive power. According to the invention, multi-machine parallel-connected operation can be realized, the electric energy conversion efficiency is improved, and the grid-connected AC harmonic quantity is reduced.

The invention provides a second-generation identity card-based authentication method and a second-generation identity card-based authentication system. The method comprises the following steps of: A, reading an image stored in a built-in anti-counterfeiting chip of a second-generation identity card to obtain a first image, and performing image acquisition on the face of a card holder to obtain a third image; B, scanning a photo printed on the surface of the second-generation identity card to obtain a second image; C, judging whether similarity between the first and second images is more than or equal to a first preset threshold or not by utilizing a face recognition technology, executing a step D if the similarity between the first and second images is more than or equal to the first threshold, otherwise outputting authentication failure information; and D, judging whether the similarity between the second and third images is more than or equal to a second preset threshold or not by utilizing the face recognition technology, outputting authentication success information if the similarity between the second and third images is more than or equal to the second threshold, otherwise outputting the authentication failure information. By the method and the system provided by the invention, the reliability and efficiency of authentication can be improved.

A water condenser includes a fan which draws a primary airflow through an upstream refrigerant evaporator, through an air-to-air heat exchanger and in one embodiment also an air-to-water heat exchanger uses cold water collected as condensate from the evaporator, the airflow to the evaporator being pre-cooled by passing through the air-to-air heat exchanger and the air-to-water heat exchanger prior to entry into the evaporator wherein the airflow is further cooled to below its dew point so as to condense moisture onto the evaporator far gravity collection. The evaporator is cooled by a closed refrigerant circuit. The refrigerant condenser for the closed refrigerant circuit may employ the fan drawing the airflow through the evaporator or a separate fan, both of which drawing an auxiliary airflow separate from the airflow through the evaporator through a manifold whereby bath the auxiliary airflow and the airflow through the evaporator, or just the auxiliary airflow are guided through the condenser and corresponding fan.

The invention discloses a method for forwarding the data of a virtual network router in a centralized mode. According to the method for forwarding the data of the virtual network router in the centralized mode, control planes of virtual network router living examples and data planes of the virtual network router living examples are separated, the control planes operate inside the virtual network router living examples and are responsible for routing computation, the data planes are transferred into an inner core of the virtual network router, a data centralized forwarding engine is formed by the data planes of the network router living examples on the bottom layer of virtual network router equipment, forwarding tables of all the virtual network router living examples are organized and compressed into a shared forwarding table by the data centralized forwarding engine, and forwarding of data of all the living examples on a virtual router node is controlled according to the shared forwarding table. The method for forwarding the data of the virtual network router in the centralized mode has the advantages that cost for data forwarding of the virtual network router can be effectively reduced, link-speed forwarding performance of the virtual network router can be achieved, the number of the virtual network router living examples supported by the virtual network router can be increased, and virtual network data forwarding performance is improved.

The invention discloses a big data-based online analytical processing system and method. The system can be used for carrying out quick multi-dimensional query and analysis on data sets with different scales and levels under a Hadoop environment. A query plan selected through query, planning and estimation comprises MDX query supporting Hive and Hbase precomputation cache mechanism-based multi-dimensional query. According to the system and method, optimization of the MDX query supporting Hive data warehouses on extensible cluster nodes and of the Hbase precomputation cache mechanism-based multi-dimensional query are realized, the low-delay multi-dimensional query requirements of the data sets with different scales and levels are satisfied, and the OLAP multi-dimensional query of different OLAP data organization models under a single data source background is solved. Aiming at the performance optimization problem of Hive multi-dimensional query on large-scale data sets, an Hbase cache-based segmented layered dimensionality-reduction aggregation algorithm is proposed, and the algorithm brings MOLAP for solving the multi-dimensional query calculation of large-scale data into a big data OLAP system, so that the extendibility and effectiveness of the multi-dimensional query of data with different scales and levels under a big data background are greatly enhanced.

The invention discloses a method for construction of a PEM (proton exchange membrane) fuel cell performance prediction model. A constructed model comprises a one-dimensional model vertical to a polar plate direction and a 1 plus 1 plus 1 quasi three-dimensional model; the construction of the one-dimensional model vertical to the polar plate direction concretely comprises four steps: determination of cell output voltage, determination of ohmic loss, determination of activation loss, and water management; on the basis that the 1 plus 1 plus 1 quasi three-dimensional model is vertical to the one-dimensional model in the polar plate direction, a direction along a cell flow channel and a ribbed plate direction vertical to the flow channel are added. The mass conservation equation of a reactant and water is solved to obtain average liquid water volume fractions in various layers of the cell and a reactant concentration in a catalyst layer; accordingly, the ohmic loss and the activation loss are determined; working conditions such as electric current density, temperature, the relative humidity of air inflow and the like are adjusted; and the output voltage of the PEM fuel cell in different working conditions can be predicted. The construction of the PEM fuel cell performance prediction model can effectively save the development expenses and shorten the development cycle.

The invention relates to the technical field of power grid inspection, in particular to a transmission inspection three-dimensional flight path automatic planning method based on laser point cloud data. The transmission inspection three-dimensional flight path automatic planning method comprises a laser point cloud data system, an analysis module and an unmanned aerial vehicle module. According tothe transmission patrol three-dimensional flight path automatic planning method based on the laser point cloud data, the laser point cloud data system is used as the basis, a ground point and a non-ground point are separated by combining a classification and extraction module, and a flight path of an unmanned aerial vehicle patrol power transmission channel and a tower is planned the basis, so that not only are the technical requirements of unmanned aerial vehicle control personnel reduced, but also accurate tracking and fine polling can be carried out on the line targets, and it is guaranteed that the whole inspection work is carried out smoothly; and the unmanned aerial vehicle inspection flight path module is adopted, so that the unmanned aerial vehicle inspection flight path capable of achieving automatic planning is achieved, potential safety hazards and missed detection in the manual control unmanned plane inspection of the unmanned aerial vehicle can be effectively avoided, andthe safety and the efficiency of electric power patrol are improved.

The invention discloses a distributed domain controller system based on the network architecture of an automatic driving system. The system is provided with a central domain calculation control unit including a central domain calculation control sub unit and a vehicle Ethernet switch domain unit, wherein the central domain calculation control sub unit is connected with the vehicle Ethernet switchdomain unit in a vehicle Ethernet mode, the system is provided with a vehicle control unit including a central gateway unit, a power domain control unit, a chassis domain control unit, a vehicle bodycontrol domain unit and an electronic cabin unit, the different-function units are connected with the central gateway unit through controlling a local area network CAN bus, and the central gateway unit is connected with the vehicle Ethernet switch domain unit in a vehicle Ethernet mode. The system is advantaged in that flexibility of overall configuration, efficiency of data calculation and command execution under different dedicated functional units, and convenience of fault and abnormality handling and component replacement can be improved.