138results about How to "Accelerate development cycle" patented technology

The invention belongs to the field of motor optimization designs, and relates to a multi-objective hybrid particle swam optimization design method for a double-fed wind power generator. The method comprises the following steps of: (1) determining a constraint condition and a to-be-optimized design variable of the double-fed wind power generator, and establishing sub-objective function equations to form a multi-objective function; (2) constructing variable space by using the to-be-optimized design variable, and constructing non-dominated solution sets of population according to the quality of an objective value; (3) ordering the non-dominated solution sets according a Pareto domination mechanism, determining a population niche by taking a non-dominated solution as a core, establishing a particle speed updating mechanism and finally obtaining an optimal design scheme; manufacturing a mode machine according to the optimal design scheme, inspecting an actual operation index of a motor, and comparing the actual operation index with an index given by the design scheme; and if the actual operation index exceeds a requirement range of operation indexes, adjusting a performance design scheme. Due to the adoption of the motor optimization design method provided by the invention, overall economic benefit and wind energy utilization rate of a wind power generating system can be improved.

The invention relates to a method, a device and a storage medium for improving the prediction performance of a depth learning network, belonging to the field of artificial intelligence and computer technology. The method comprises the following steps of: iteratively training a first neural network model by m cycles using a preset training set; verifying the trained neural network model by the preset verification set; determining the corresponding performance indexes based on the scenarios of the neural network mode; selecting multiple neural network models whose performance indexes reach the fusion standard from the neural network models trained by m iterative training; acquiring network parameters of a plurality of selected neural network models, and fusing the network parameters of the plurality of neural network models; assigning the fused network parameters to the second neural network model to obtain a neural network model with the fused network parameters; not only does not increase the training time of the model, but also can improve the network prediction efficiency, and can meet the different needs of the application scenario.

The invention relates to a fireman individual-soldier system on the basis of a wireless Mesh network framework. The system consists of a wireless monitoring mainframe, a plurality of wireless individual-soldier sub-machines and a plurality of wireless repeaters, wherein the wireless monitoring mainframe consists of a monitoring module and a wireless center node module; and each wireless individual-soldier sub-machine consists of a central processing unit module, a positioning module, a vital sign detection module, a distress call module, an environment condition detection module, a carried equipment detection module and a wireless terminal node module. When the fireman individual-soldier system is applied particularly, firemen wear the wireless individual-soldier sub-machines to enter a fire site or other accident sites and a chief officer monitors information such as postures, motion tracks, vital signs, environment conditions, carried equipment conditions and the like through the wireless monitoring mainframe, so that the intelligence support of a command decision is provided for the chief officer in time and a scientific basis can also be provided for daily tactical training. By the fireman individual-soldier system, the modernization, automation and intellectualization levels of a fire command are improved and the battle damage rate of the firemen can also be effectively reduced.

The invention discloses a method for predicting martensite structure evolution in high-strength plastic product steel quenching. The method comprises the following steps: (1) establishing a two-dimensional cellular space; (2) generating parent phase initial structure grains; (3) giving an initial state of cells; (4) inputting a total temperature drop omega, a temperature drop increment delta omega and a cooling rate; (5) calculating martensite phase transformation thermodynamics, and determining a martensite phase transformation starting temperature; (6) judging the martensite nucleation condition of each cell; (7) judging the martensite phase growth of each cell according to the growth rule; (8) calculating a martensite transformation fraction and a residual austenite fraction; and (9) outputting a dynamic evolution diagram of structure morphologies of martensite, residual austenite and the like in the phase transformation process, and outputting a martensite transformation volume fraction curve. By adopting the method, prediction of the martensite structure evolution in the high-strength plastic product steel quenching can be realized, prediction of the structure morphologies and volume fractions of the martensite and the residual austenite can be realized, the experimental cost is saved, and the period of new steel development is shortened.

The invention relates to a radar signal processing system. A FPGA preprocessing module is used for preprocessing radar information. A DSP processing array is used for processing the preprocessed radar information. A multimode loading module is used for loading different preprocessing programs to the FPGA preprocessing module according to different instructions. A power consumption management module is used for managing the power consumption of the system. A state monitoring module is used for transmitting the state information of the system to the master control unit of the radar system and receiving the feedback information of the master control unit. The system uses FPGA + DSP hardware processing architecture, gives scope to the characteristics of the FPGA and the DSP, completes real-time operation of a complex radar information processing algorithm, can achieve the maximum cost-effectiveness of intensive information processing, and solve the memory bottlenecks of the DSP and FPGA by using DDR3 and high-speed SRAM technology.

The invention discloses an automatic lifting rotating scanning device of a hydrophone. The automatic lifting rotating scanning device of the hydrophone comprises a rack, the rack is provided with a landing gear, a moving frame, a moving platform, a screw rod, a lifting table and a rotating spindle, the landing gear performs Z-direction lifting movement along the rack, the moving frame performs X-direction translational motion on the landing gear, the moving platform performs Y-direction translational motion on the moving frame, the screw rod is vertically installed on the moving platform, the lifting table is driven by the screw rod to perform lifting movement, the rotating spindle is vertically installed on the lifting table, the rotating spindle and the lifting table are rotatably matched with each other and axially fixed, and the bottom of the rotating spindle is used for suspending the hydrophone or a detected sample which is matched with the hydrophone. A driving mode of the screw rod and the rotating spindle includes that a screw rod driving step motor is mounted on the moving platform, the screw rod driving step motor drives the screw rod to rotate through a screw rod synchronous belt, a rotating sleeve and a step motor are arranged on the moving platform, the step motor drives the rotating sleeve to rotate, the step motor drives the rotating sleeve through a driving belt, and the rotating spindle penetrates the rotating sleeve and is circumferentially positioned and is in axial sliding fit with the rotating sleeve.

The invention relates to the field of visualization application of interactive data, in particular to a general security protection system for an interactive data system. By the aid of the general security protection system for the interactive data system, a service arrangement worker can dock an interface of the provided security system with the interactive data system on the premise that the service arrangement worker only needs to know functions, the interface and the use method provided by the security protection system without knowing specific development technologies of the security system, so that the worker can independently arrange an interactive data WEB application system with security capability. As for the interactive data application platform realizing data visualization, the provided security system adopts loose coupling design and is divided into multiple independent modules, the modules can be organically combined together only if the platform has the module expansion capability, and the WEB application system with security capability is generated.

The invention relates to a test method, particularly a test method for a molding surface deflection of a car sun-roof visor, comprising the steps of: a) acquiring the dot data by fixing the sun-roof visor on a testing tool and scanning a curved molding surface of the sun-roof visor by Scanworks to acquire the dot data of the sun-roof visor and a basic hole, b) aligning the coordinates by leading the dot data into an Imageware software, testing the coordinate figure of the basic hole for fitting a circle and finding out the center coordinate, aligning the dot data with a 3D mathematical model by utilizing the center coordinate to align the sun-roof visor with the 3D mathematical model of the sun-roof visor, c) comparing the section lines by drawing out the section lines on the sun-roof visor and the 3D mathematical model thereof, and then directly calculating the molding surface deflection of the sun-roof visor by comparing the two section lines. The invention can rapidly, exactly and fully test the molding surface deflection of the car sun-roof visor.

The invention relates to a series connection type waste gas recycling cooler for a medium and heavy duty vehicle, which comprises a gas inlet pipe box, a gas exhaust pipe box, at least two heat exchange pipe assemblies, a water inlet pipe and a water outlet pipe, wherein the gas inlet pipe box is connected with a gas exhaust pipe of an engine; the gas exhaust pipe box is connected with a gas exhaust pipe of a waste gas recycling system of the engine; the heat exchange pipe assemblies are respectively connected with the gas inlet pipe box and the gas exhaust pipe box by ridge rings; the water inlet pipe is arranged on the heat exchange pipe assembly connected with the gas inlet pipe box; the water outlet pipe is arranged on the heat exchange pipe assembly connected with the gas exhaust pipebox; and the heat exchange pipe assemblies are connected by heat exchange pipe box connecting elements for connecting gas paths and connected with a water path by water path connecting elements. Theinvention can shorten the lengths of a single pipe shell and a pipe bundle by adopting the heat exchange pipe assemblies, and effectively solve the problem of thermal expansion of the pipe shell and the pipe bundle. The design has simple assembly process, reduces the machining difficulty, improves the machining precision, ensures the reliability of the cooler and standardizes and modularizes the design of a heat exchange pipe and the pipe shell, thereby improving the period of development and reducing the processing difficulty.

The present invention relates to the application field of interactive data visualization, in particular to an interactive data system arrangement method, system and compiling and running method. Through the event orchestration system and method to arrange rich interactive components, by allowing users to customize the combination of trigger events and trigger actions of all components, users can achieve powerful multi-dimensional analysis; at the same time, linkage between component trigger actions can be achieved, In this way, various event linkages and parameter transfers can be realized between charts and pages of the target system.

The invention discloses a target detection and visual positioning method based on a YOLO series. The method comprises the steps: firstly, obtaining an RGB color image and a depth image of a to-be-captured target; inputting the acquired RGB color image into a YOLO series target detection model built based on a darknet framework to obtain coordinate information, category and confidence; and combining the coordinate information with the depth image information to solve the spatial three-dimensional coordinates of the to-be-detected target. According to the positioning method based on the target detection algorithm provided by the invention, two-dimensional positioning can be carried out on the RGB color image acquired by the depth camera by using a YOLO series target detection algorithm deployed on a darknet framework, and three-dimensional positioning is realized by combining depth information acquired at a special position of the camera. Compared with other target detection algorithms, the YOLO series target detection algorithm has the advantages that the detection speed is higher, but the detection precision is not high, the target detection precision can be ensured, and the detection speed is increased.

The present disclosure relates to a method of controlling the manufacturing of integrated circuits, comprising steps of determining parameters that are characteristic of a curve of radiation intensity applied to a semiconductor wafer through a mask, in critical zones of structures to be formed on the wafer, for each of the critical zones, placing a measuring point in a multidimensional space each dimension of which corresponds to one of the characteristic parameters, placing control points in the multidimensional space that are spread around an area delimited by the measuring points, so as to delimit an envelope surrounding the area, for each control point, defining control structures each corresponding to a control point, generating a mask containing the control structures, applying a process involving the generated mask to a semiconductor wafer, and analyzing the control structures transferred to the wafer to detect any defects therein.

The invention relates to a neural network-based computer vision technology in the field of artificial intelligence. Specifically, the invention provides a neural network model training method and device for image processing, a medical image processing method using the neural network model, and a medical image processing system. The training method comprises: a training image set acquisition step of acquiring a training image set for training a neural network model, the training image set comprising unlabeled first-class training images; a first training step of training a neural network modelby using the first type of training images and a first loss function corresponding to the first type of training images; wherein the first loss function corresponds to the difference of prediction values of the neural network model for one image in the first type of training images and the interference image thereof. According to the training method provided by the invention, the non-standard training data is further utilized on the basis of utilizing the standard training data, so that the training cost is reduced, and the development cycle of a medical image processing system is accelerated.

The invention provides an image recognition method, an image recognition device, terminal equipment and a readable storage medium. The method comprises the following steps that: a to-be-identified image is obtained, and the global depth feature of the to-be-identified image is determined; position indication information is determined based on the to-be-identified image, wherein the position indication information is used for indicating the position of a target object in the to-be-identified image if the to-be-identified image contains the target object; the depth features of an image region indicated by the position indication information in the to-be-identified image is determined, so that the local depth features of the to-be-identified image can be obtained; and whether the category ofthe to-be-identified image is a target category is determined based on the global depth features and the local depth features. With the method adopted, a deep learning model can be trained without adopting a large amount of training data and relatively a long training duration, so that the development period of a terminal device is accelerated to a certain extent.

The invention discloses a server high low temperature reliability automatic testing system and method and belongs to the technical field of server testing. The server high low temperature reliabilityautomatic testing system comprises a high-temperature cabinet and a pressurization module and further comprises a temperature recording module and a sensor temperature recording module; automatic warming and cooling of the high-temperature cabinet are realized; automatic pressurization of the pressurization module is realized; the temperature recording module is used for recording the temperatureinformation of main parts in a to-be-tested server and compares the standard temperature of the main parts; the sensor temperature recording module is used for recording the temperature information ofthe main part sensors in the to-be-tested server and compares the standard temperature of the main part sensors. According to the server high low temperature reliability automatic testing system, system pressurization test can be performed at fixed time, test data are recorded automatically, the reliability temperature verification test progress is accelerated, the working efficiency is improvedgreatly, and the system has excellent popularization and application values.

The invention relates to a method and a device for switching IPv4/IPv6 applications and an intelligent mobile terminal, wherein the method comprises the steps of receiving a URL (Uniform Resource Locator) request sent out by the upper-layer application program of the intelligent mobile terminal, sending a domain name resolution request to a DNS (Domain Name Resolution) server through a DNS client according to the URL request, and invoking a socket interface corresponding to the operating system of the intelligent mobile terminal according to the type of an IP (Internet Protocol) address returned by the DNS server to establish network connection corresponding to the type of the IP address. The method and the device provide a fast and economic solution for the process of transition from the IPv4 application to the IPv6 application, no matter whether the upper-layer application program of the intelligent mobile terminal is the IPv4 application to the IPv6 application, the solution can be utilized to switch to the corresponding IPv4 or IPv6 network, and as a result, the application program development interface of IPv4 and IPv6 are unified, the development cost is reduced and the development period is sped up.

The invention relates to a method for achieving reverse modeling by using a post program. The method includes the steps that first, cutter parameters are determined; second, the parameters are input to the post program and are substituted into a numerical control machining simulation system, and an IGES formatted file is output from a demonstration result by the aid of an Export Model function; third, CatiaV5.0 software is used for opening the IGES formatted file, and a curved surface piece digital analog is generated into a three-dimensional digital analog; fourth, the newly generated three-dimensional digital analog is substituted into VERICUT software, the post program is used for forming a cutter path on the newly generated three-dimensional digital analog, adjusting is carried out, and the three-dimensional digital analog which is the same as actual parts is generated. Based on the post program, reversal design is achieved in the method, the digital analog of parts to be processed is generated, the method is high in accuracy rate, strong in operability and reliable in technology, the design and development period of products is shortened, and the cost and the risk for developing new products of enterprises are lowered.

The invention relates to a switching power energy efficiency control circuit comprising a switching power circuit, an awakening circuit and a holding circuit. The switching power circuit is used for providing working voltage to the holding circuit in working condition. The awakening circuit is used for driving a switching circuit to be switched on in stand-by condition after receiving sound signals so as to enable a supply circuit to provide working voltage to a PWM (pulse width modulation) controller via the switching circuit. The holding circuit is used for driving the switching circuit to be switched on continuously in working condition after receiving concessive sound signals, and driving the switching circuit to be switched off after the sound signals can not be received in a preset time, so that the supply circuit can not provide working voltage to the PWM controller through the switching circuit. With the switching power energy efficiency control circuit, sound signals can be detected, normal switching power can be controlled directly, automatically stand-by and automatic awakening functions can be realized, and stand-by energy consumption can be maintained at a low level.