224results about How to "Verify stability" patented technology

The invention discloses an unmanned driving vehicle cognitive competence testing system which comprises an unmanned driving vehicle and a vehicle-mounted recording unit, wherein the unmanned driving vehicle and the vehicle-mounted recording unit are in wired connection through a communication interface, the vehicle-mounted recording unit is used for inputting cognitive competence testing task to an unmanned driving vehicle, and receiving and storing data output by unmanned driving vehicle cognitive competence test; after receiving testing task through a testing task input program, the unmanned driving vehicle rebuilds serial port connection and starts corresponding program output test data to the vehicle-mounted record unit, the testing task input and the testing data output both of the unmanned driving vehicle cognitive competence test adopt the uniform interface, parameter and data transmission form, while the specific forms of the data contents are different; the communication interface adopts an RS-232 interface.

The invention discloses a time series prediction-based wavelet neural network online PID adjustment method and a system using the same. The method specifically comprises the steps of initiating the parameters, computing the control parameters and rectifying the online adjustment parameters, computing the control amount, computing or acquiring the system output and computing the prediction result; the system specifically comprises a control decision device, an online adjuster, a control executer, a controlled object, an online predictor, a control perturbation source and a prediction perturbation source; the control decision device is used for realizing the parameter initiation; the online adjuster is used for computing the control parameters and rectifying the online adjustment algorithm parameters; the control executer is used for computing the control amount; the online predictor is used for computing the prediction result; and the control decision device is also used for judging whether the algorithm is finished. According to the method, the wavelet neural network and the classic control method are combined to solve the problem of dependence on the parameter configuration work before the system operates in the control field, so that the control system has the effects of prediction, learning, online parameter optimization and self-adaptation.

The invention discloses a preparation method of industrial aminated graphene. The preparation method of the industrial aminated graphene belongs to the technical field of graphene preparation, and comprises the steps of firstly stripping graphite through a mechanical stripping method, oxidizing through adjusting the matching ratio of a main oxidizing agent and an auxiliary oxidizing agent, then activating hydroxyl and carboxyl on the surface of graphene oxide through a chlorinating agent, and finally selecting appropriate diamine for carrying out amination reaction. According to the preparation method of the industrial aminated graphene provided by the invention, through adopting a stripping manner at first, the dosage of the oxidizing agents can be reduced, an ideal effect is achieved atthe same time, and the problem of poor modification effect caused by high oxygen content and severe destructiveness on a graphene slice layer due to large dosage of the oxidizing agents is solved.

The invention relates to a control method for solving scheduling of operating workshops under a complex production environment based on an improved genetic algorithm. The control method comprises the following steps: 1) setting an operating workshop scheduling model with a fuzzification parameter and taking the maximized satisfaction for all products and the maximized minimum satisfaction as a target function; 2) solving the target function by adopting the improved genetic algorithm, (2.1) adopting encoding based on working sequence; (2.2) running a G&T algorithm for several times so as to generate an initial group; (2.3) taking the target function as a fitness function for evaluating an individual; (2.4) performing selecting and interlacing operations; (2.5) performing reversal variation; (2.6) combining all groups and continuing to evolve till converging when the individuals of each group are all converged to a certain degree; and (2.7) taking a preset maximum evolving algebra Nmax as a stopping condition, and taking the present best solution as an optimal solution, thereby obtaining a scheme for solving the scheduling of operating workshops under the complex production environment. The control method provided by the invention has the advantages of excellent accuracy, better reliability and strong practicability.

The invention relates to an early fault determining method for a bearing. The method comprises the steps of cutting an acquired bearing vibration time domain signal into N groups of secondary vibration signals according to the same length; 2, calculating local spectral band energy Mg of each secondary vibration signal, namely, 1) performing frequency domain conversion for each secondary vibration signal; 2) selecting a local spectral band from the whole Hilbert marginal spectrum based on the formula shown in specification as the interval, wherein fp is the bearing fault characteristic frequency calculated based on the bearing structural dimension, and delta f is 2Hz; 3) calculating the local spectral band energy through the formula shown in the specification, wherein h(f) is frequency amplitude in the local spectral band; 3, creating a local spectral band energy sequence through N Mg, wherein the local spectral band energy value of each vibration signal is Mf when the bearing is free of a fault; Mg is not less than the product of K and Mf at M times in the sequence, wherein K is a constant; the characteristic power rate (CPR) is determined according the formula shown in the specification; 4, determining the early fault when the CPR is more than or equal to some constant A.

The invention provides an under-actuated release control method based on a nonlinear space tether system. The method comprises the following steps: 1, a dumbbell model is adopted, system dynamics differential equations are built according to a second kind Lagrange equation, and a dimensionless form is introduced in the differential equations; 2, based on a normal form expression for the above dynamics differential equations, expected values for a system in-plane pitching angle and an out-plane rolling angle are set, and the balance position of the system in the release process is obtained; 3, starting from the balance position of the system, a tether length change control law for realizing tether release is deduced and obtained; and 4, the range for the expected in-plane pitching angle is determined to ensure the tether release process to be asymptotically stable under effects of the control law. Numerical simulations show that the space tether can be released asymptotically stably under effects of the release control method provided by the invention, and an attractor capable of covering the balance point and an attraction domain with enough thickness can be found out.

The invention discloses a production process full-period intelligent workshop system based on a digital twinning technology and a solving method. The system comprises a design planning module and a virtual-real synchronization module. The design planning module is used for building virtual components required by the digital twin of the automatic workshop in the virtual component design module, carrying out process design according to actual production requirements, arranging an automatic production line, and verifying a production line planning effect and a control program. The virtual-real synchronization module builds a real production line after verification, collects the operation data of the real production line, transmits the operation data to the data management and storage module, completes the synchronization between the real production line data and the digital twin data, and displays the virtual-real synchronization condition and the operation data, and finally guides the actual production by using the data processing result of the digital twin. The system and method run through the full life cycle of the production line, and production accidents and economic losses caused by design defects can be avoided; the simulation credibility is improved; and feedback control is performed on a real production line, so that major safety accidents and property loss can be effectively avoided.

The invention discloses a special construction method for a main beam of a lower dragging extra-large bridge, which comprises the following steps of: S02: 0 # section construction: pouring twice, andforming a support by once pouring; s03, hanging basket construction is conducted, specifically, a hanging basket is moved forwards to the front end of the zero beam section, and the formwork erectingelevation is determined; and erecting a formwork to bind the No.1 beam section steel bars and finish the arrangement of the prestressed pipeline. Aiming at the conditions that the span of a main beamis 200 m, the length of double cantilevers is large, the width-to-span ratio of a box girder is small, and the construction technical difficulty is large when the construction period goes through strong wind seasons and winter, smooth construction is guaranteed, and good practicability is achieved.

The invention discloses a device and a system for testing a packer in a formation tester, and aims to test a newly-developed packer in a formation tester. In the test device, a first end of a simulation borehole sleeve is connected with a sleeve end cap, and a second end of the simulation borehole sleeve is sleeved inside a first end of an axial limiting sleeve and contacts the axial limiting sleeve; a protection ring is sleeved outside a contact part of the simulation borehole sleeve and the axial limiting sleeve; a test matrix is positioned in the simulation borehole sleeve and the axial limiting sleeve, and can be in circumferential seal with a sliding end cap of the packer; a first end of the test matrix can be in circumferential seal and fixedly connected with a fixed end cap of the packer, and a second end of the test matrix is connected with a second fixed head; and an expansion pressurizing pipe penetrates through an end face of the axial limiting sleeve and an end face of the second fixed head, and is communicated with a pipeline in the test matrix. The device and the system are used for performing simulation test on the charging pressure resistance and the setting sealability of the packer.

The invention discloses a method and device for grouping data service bulk call simulation test. The characteristic is that, according the test configuration parameters of background control, it can establish ppp connect through grouping data service node and data resources modules which comprise general protocol stack and simulation terminal, bearing ICMP TCP datagram on ppp link. Using sending/response and flow made by data resources modules, the capability of managing grouping data service on base station system is validated through analyzing the related data. The present invention can be applied on different flat roof and system, and it can test fully the fundamental channel and add channel. At the same time, it can simulate grouping data service of base station system.

The invention discloses a full-automatic high-concentration beer dilution ratio mixing machine and a mixing method thereof, relating to the technical field of multi-material mixing processes such as biology and wine fermentation engineering, food beverage engineering, bio-pharmaceuticals, fine chemistry industry and chemical engineering. The full-automatic high-concentration beer dilution ratio mixing machine comprises a frame, a PLC (Programmable Logic Controller) control cabinet, a static mixer and a diluting pump, wherein the PLC control cabinet is arranged on the outer side of the frame; the static mixer is arranged above the frame; the diluting pump is arranged at the lower end of the static mixer; and the full-automatic high-concentration beer dilution ratio mixing machine is externally connected with high-concentration beer, deoxygenated water, clean CO2 and a finished beer tank. The mixing method comprises the following steps of: mixing high-concentration beer with deoxygenated water in the diluting pump; and mixing with clean CO2 in the static mixer, and feeding into the finished wine tank. The method is practicable; a mass flow meter is applied, so that a reliable precondition is provided for accurate adding of CO2 into diluted beer; a mathematical model is established, so that reliable basis is provided for accurate adding of deoxygenated water and CO2 into high-concentration beer; an open-ring control principle is applied, so that the phenomenon of incorrect mixture ratio caused by hysteresis of feedback adjustment and detection data distortion in closed-ring control is avoided; and automation control in an entire process is realized, so that the labor strength is greatly lowered, the possibility of human errors is lowered, and the product quality and uniformity are improved.

The invention provides a method for accurately detecting the contact pressure between a conductive slip ring and a conductive brush wire. The method comprises the following steps: a cross-shaped sliding table is adjusted; a brush wire component to be detected is mounted on a measuring device, and the cross-shaped sliding table is adjusted in the Y direction to enable the brush wire to be detected to be in correct contact with a circular arc of a measuring head according to the working conditions of a product; a connecting rod of the measuring device is slowly swung to enable the brush wire to be in sliding contact with the circular arc of the measuring head, a measuring head system measures and displays the component force, in the force-measuring direction of a sensor, of the contact pressure between the brush wire and the measuring head in real time, the normal direction of a common tangent at the contact point of the brush wire and the circular arc of the measuring head is consistent with the force-measuring direction of the sensor in the swinging measurement process, and the displayed pressure is the contact pressure between the brush wire and the slip ring. The method can accurately detect the practical contact pressure comprehensively formed by factors including the shape error and mounting position error of the brush wire, the elastic coefficient of a brush wire-slip ring contact pair and the like, so that a scientific method is provided for control and adjustment of the contact pressure between the brush wire and the slip ring, the design requirement for reliability of the contact pressure between the slip ring and the brush wire is effectively guranteed.

The invention provides a massive terminals-based satellite communication network private protocol test method that is applied to test whether the satellite communication network supports massive terminals to access a certain TCP/UDP-based private protocol. The method comprises the steps of developing massive terminal simulation software and establishing a tens of thousands of magnitude simulationterminal model; setting a client and a server on a network tester, wherein the client and the server are respectively connected with massive terminal simulation software and a satellite main station;configuring networks of the client and the server on the network tester; importing, by the client, a captured session packet of a to-be-tested protocol, creating a playback list, and configuring a load model and user behaviors; playing, by the server, a flow file in the playback list imported by the client and executing a test; and collecting statistic information of test results by the network tester, and forming a test report. The method has the beneficial effects of developing simulation model software, exploiting characteristics of existing test tools, and jointly using the tools for testing.

The present invention discloses a transverse crack fault characteristic quantity extraction method of a rotor-bearing system. The method comprises the steps of: establishing a crack rotor-bearing system dynamics model to obtain a system dynamics equation and calculate system response signals in different crack angles; adding white noise simulation actual signals for system response in different crack angle, and performing EMD-CIIT noise reduction processing of the signals adding the white noise to obtain denoised signals; performing EMD decomposition of the denoised signals to extract IMF components; constructing a Volterra series model for each IMF component, and taking the Volterra model parameter of each IMF component as the horizontal vector of the matrix to construct a prediction parameter matrix; and taking the singular value of the obtained matrix as a system fault characteristic quantity. The transverse crack fault characteristic quantity extraction method can analyze the influence of different crack angles on the system response at the bearing position in different non-linear oil-film force.

The invention discloses a PLC-control-based virtual simulation experiment method and system for fireworks sorting assembly line. The virtual simulation experiment method comprises: step A, establishing a virtual simulation environment for a fireworks sorting assembly line; to be specific, carrying out modeling on a working unit of the fireworks sorting assembly line and carrying out animation simulation on all procedures involved in the working process of the fireworks sorting assembly line; step B, establishing a PLC control system; step C, establishing communication between eh virtual simulation environment of the fireworks sorting assembly line and the PLC control system; and step D, carrying out debugging. According to the invention, the risk of dangerous explosion of the actual fireworks sorting assembly line is eliminated and the needs of actual PLC engineering training by students can be satisfied; the optimal control strategy and plan of the fireworks sorting assembly line canbe determined quickly during the fireworks sorting assembly line modification process; the dependence on the OPC service program of the manufacturer is eliminated; the PLC device from any manufacturercan be selected; and a phenomenon of carrying out designing and debugging again because of changing of a PLC mode or a manufacture factory is avoided.

The invention relates to the field of biotechnology, in particular to a monoclonal cell strain of a human embryo kidney cell 293T-C10 for packaging viruses as well as a screening method of the monoclonal cell strain. 293T cell mycoplasmas are removed, monoclonal screening is carried out during logarithmic growth period to obtain uniform monoclonal cells, different transfection and virus removal efficiencies are compared, and screening is carried out to obtain the monoclonal cell strain. Such cell strain has a collection number of CCTCC C201281, is very high in transfection efficiency and virus packaging stability, is remarkably improved in virus removal efficiency of 293T cells than that before screening, and can infect a majority of tumors and other cells to be infected without ultracentrifugation, so as to meet most of experimental demands.

The invention discloses a verification method and a device on embedded file system stability. The verification method comprises the following steps of creating a plurality of tasks meeting the mutual occupying requirement; calling one or one group of functions to be tested at the same time by the plurality of tasks, conducting stability test on an embedded file system, querying for ensuring whether the listed files, the file content and the storage space are correct or not, and recording the test result; and generating a verification report after at least one-time step cycle. The method and device conduct stability test on the embedded file system through different angles in and outside the embedded file system, and can verify the stability of the embedded file system in the round, help a developer to locate the problem fast, improve the technical scheme of the embedded file system and judge the work stability of the embedded file system accurately.

The invention discloses a fuel cell power system test platform test method and device. The method comprises steps of extracting electric energy consumption data of a hydrogen fuel cell vehicle runningfor a long time under an actual road condition, and building an electric energy consumption data model according to an existing test model; carrying out data fitting of the electric energy consumption data and the electric energy consumption data model to obtain equal-proportion test duration required by a hydrogen fuel cell vehicle under each test model; building a power system test platform device and the like based on the hydrogen fuel cell electric-electric hybrid power system. The method is advantaged in that a whole vehicle power system platform is built in a laboratory environment as much as possible to simulate a real vehicle use environment, statistics of system energy consumption conditions under different energy distribution strategies tested under a test model is performed, anequivalent minimum power consumption control scheme is obtained, so an optimal energy distribution strategy and an optimal control strategy are screened in the laboratory environment.

The invention discloses a test method and system for USB (Universal Serial Bus) storage stability of a route. The method comprises the following steps of receiving a test file, wherein the test file is stored in an external storage device of a tested route; receiving a USB interface, connected to the tested route, of external storage equipment; and repeatedly reading and writing the test file in the external storage equipment. By the method, the purposes of verifying the stability and the robustness of a USB storage system of the route can be achieved.

The invention provides a test method and system. The method comprises the steps that: scheduling equipment acquires a scheduling task; the scheduling device generates and issues a scheduling command to the target device according to the scheduling task, wherein the target device comprises any one or two of a real mobile device and an intelligent terminal and a virtual mobile device is generated bysimulation of the intelligent terminal; the target device operates according to the scheduling command; and a simulation device acquires real-time states of the real mobile device and the virtual mobile device, and displays respective moving tracks in the simulation environment after the initialization operation is completed in an augmented reality manner according to the real-time states. According to the invention, the function and performance of a mobile device can be displayed to others in a systematic, clustered and data-visual manner, the operation effect of the mobile device under a real condition can be verified, the feasibility and stability of a large number of mobile devices can be visually and conveniently verified at low cost, and a demand side and an implementation side of aproject can carry out clear and effective communication.

The invention provides a convolutional neural network-based single-image three-dimensional face reconstruction method and system. The method comprises the steps: training an improved convolutional neural network model through a training sample set; obtaining a two-dimensional single image of a to-be-reconstructed three-dimensional face, and inputting the two-dimensional single image into the trained improved convolutional neural network model to predict and obtain a face three-dimensional deformation parameter; and obtaining a reconstructed three-dimensional face based on the three-dimensional deformation model according to the three-dimensional deformation parameters and the shape vector and the texture vector of the face in the given two-dimensional image. A VGG-16 network model is improved, and a batch normalization layer is added after output of each convolutional layer and full connection layer, so that the value output in the middle of each layer of the whole neural network is more stable, and finally, the output of the whole network is more stable. And drastic change of output close to an output layer caused by updating of model parameters in the training process is avoided. Through experiments, the stability and fidelity of three-dimensional face reconstruction by the method are verified.