185 results about "Platform model" patented technology

The invention provides a method of realizing a software communications architecture (SCA) on an embedded platform, comprising the following steps of: by using a CORBA (Common Object Request Broker Architecture) middleware as a software bus and using an XML (Extensible Markup Language) document as an information middleware, constructing framework software on the embedded platform of a Power PC (Personal Computer) and a DSP (Digital Signal Processor); by using a component engine (CE) to assist a tool developed by the SCA, carrying out software modeling and hardware modeling on the system; encoding IDL (Interface Define Language) codes of a core framework by using a CORBA encoder to generate a pile document and a framework document, of an interface for realizing a servo class of the framework interface; generating an XML domain description document for an application model and a platform model of the system by using the CE software; improving and extending a CE code generator, compiling a code template of a device and a component program framework to realize a component program and a device program; and running the component program and the device program on different nodes to test the correctness of a waveform function. Therefore, the communication system software developed by using the architecture provided by the invention has interoperability, reconfigurability, updatability, reusability and transportability.

Belonging to the field of naval architecture and ocean engineering, the invention relates to a three dimensional visual simulator system device of ship driving and cabin operation. Based on a distributed mathematical physics platform model and a distributed ship operation principle, the device of the invention comprises six operational modules: (1) a power system mathematical physics equation modeling module, (2) a three dimensional display module, (3) a climate environment change display module, (4) a geographical information environment change display module, (5) a digital glove interactive operation module, and (6) a physical platform simulation operation module. The above modules are integrated into one physical platform, to solve the problem of integration between various modules. Specifically, three dimensional display, the database exchange technology and the digital glove interaction technology are integrated into one platform. Physical operation is used to replace keyboard event response, and scene change is used to replace ship navigation and cabin operation, to achieve the purpose of simulating ship steering and cabin operation.

The invention relates to the technical field of marine engineering equipment and large-sized ship construction, in particular to a sectional construction precision control method for a cylindrical ultra-deep sea drilling platform. The method can be applied to sectional construction precision control of various sea drilling platforms and large-sized ships. The method comprises the following steps of: platform model construction, section of main hull manufacture, sectional construction process division and precision control of each process stage. The method can produce important influence on quality and construction efficiency of a hull in a maritime work product manufacturing process. The sectional construction precision control method reduces the operation time and shortens the construction period of the large-sized sea drilling platform by precision control of each subsection from baiting to completion, meanwhile reasonably reduces the quality loss and the construction cost, and realizes modularized regional shipbuilding.

The invention discloses a multi-platform application fused release platform and an application downloading method, wherein the release platform comprises a distinguishing unit, a retrieval unit and a downloading unit, wherein the distinguishing unit is used for distinguishing the terminal model of a terminal and the application platform model supported by the terminal and reporting to the retrieval unit when the terminal visits the release platform; the retrieval unit is used for retrieving an application program suitable for the terminal in a plurality of stored application programs according to the terminal model and the supported application platform model when receiving the terminal model and the supported application platform model reported by the distinguishing unit and providing for the downloading unit; and the downloading unit is used for providing query and downloading services for the terminal within the application program range suitable for the terminal and provided by the retrieval unit. The invention solves the problem that a user difficultly finds out a proper terminal and application programs meeting the requirements per se because of multiple varieties of the terminals of various platforms in the prior art.

The invention provides a cross-machine learning platform model definition protocol and configuration system, and relates to the field of artificial intelligence automatic machine learning. The systemcomprises a computational graph construction engine; a computational graph optimization engine; a cross-machine learning platform model definition protocol (Cross-Platforms Model definition Protocol);a computational graph encoding engine; a hyper-parameter recommendation engine; a protocol parsing engine; a model training process control assembly; a hardware information detection and configuration system. The system has the advantages that cross-platform machine learning network construction is achieved, the system is easy to use, and the machine learning maintenance threshold is lowered; machine learning network construction in a dragging mode is achieved, and the latest algorithm network can be iterated rapidly; a large number of algorithm models are provided, and machine learning and deep learning network construction under different scenes are supported; a parameter recommendation function is provided, and a lot of parameter adjustment time is saved; algorithm network constructionfrom data cleaning to model release full life cycle is provided, and the system can be directly put into production and use.

The invention discloses a self-elevating type offshore platform wind load coefficient test experimental system. The self-elevating type offshore platform wind load coefficient test experimental system comprises an experimental platform, a monitoring platform and a control platform, wherein the experimental platform comprises a simulated wind field channel, an atmospheric boundary layer simulation device and a wind flow generation device; the simulated wind field channel comprises a ventilation pipeline and an offshore platform model arranged inside the ventilation pipeline; the atmospheric boundary layer simulation device comprises a momentum loss device, a lateral mixing device and a ground roughness element; the wind flow generation device comprises an air blower and a flow guiding screen plate; the monitoring platform comprises a wind power, wind pressure and wind velocity signal acquisition and processing unit; and the control platform comprises an air blower control unit which is used for controlling output power of a motor of the air blower so as to product wind flows at different wind velocity gradients under the condition of different power, and a data acquisition and processing unit which is used for acquiring, processing, analyzing and displaying signals from the monitoring platform in real time.

The invention relates to a test device for an ocean platform mooring auxiliary power positioning model, which belongs to the technical field of ocean engineering, wherein a movement control module is respectively connected with a mooring mechanism and a thrustor and outputs a movement control signal; the movement control module is connected with a computer; the mooring mechanism is fixed on an ocean platform model; the thrustor is arranged in the ocean platform model; a strain foil is respectively connected with a strain amplifier and the mooring mechanism; the strain amplifier is connected with a data collection and analysis module which is respectively connected with the computer and a non-contact optical measurer; the non-contact optical measurer is arranged on the ocean platform model. The invention can make a platform system accurately positioned with lower environment load through a mooring positioning system, and save the power consumption. When the environment load is increased, the thrustor can be started for positioning so that accurate positioning can be realized.

The invention relates to a verification test method of a gearbox noise prediction model and relates to the technical field of test methods, The verification test method includes a gearbox finite element model matching test S1, a gear transmission error test S2, a gearbox foot vibration and radiation noise test S3, a gearbox radiation noise source test S4, model matching S5, determination of gear meshing excitation S6, determination of foot vibration and radiation noise S7, identification of sound source and sound field distribution S8, calculation of the level analysis software platform S9, debugging, calibration and gearbox air noise pre-estimation S10. The verification test method of the gearbox noise prediction model measures the gearbox gear meshing excitation, the gearbox foot vibration, the sound radiation measurement, sound source recognition and the sound field, compares the test data with a calculation platform model. A verified calculation platform can be used to estimate the gearbox air noise.

The invention discloses a multi-freedom-degree force measuring device for a vibration test of an ocean platform model. The multi-freedom-degree force measuring device comprises a movement transmission disc, connecting rod supports, connecting rod pieces, three-component sensors, sliding wheel supports and fixed square plates. The movement transmission disc is connected with a forced movement mechanism and is a base disc of the whole device, the connecting rod supports are fixed to the movement transmission disc or the three-component sensors, the connecting rod pieces are connected with two connecting rod supports or connected with the connecting rod supports and the sliding wheel supports, the upper end faces and the lower end faces of the three-component sensors are connected with the connecting rod supports and the fixed square plates respectively, the sliding wheel supports are connected with the connecting rod pieces and support the fixed square plates, and the fixed square plates are fixed to the ocean platform model, or connected with the three-component sensor, or supported by the sliding wheel supports. The multi-freedom-degree force measuring device is simple in structure, clear in function and capable of being used repeatedly, and the force measurement requirements of the forced vibration test of the ocean platform model under the test work conditions of different freedom degrees and different freeboard heights are met.

The invention discloses an openCL-based parallel optimization method of an image de-noising algorithm. According to an idea of image layering, an image is divided into a high-contrast base layer and a low-contrast detail layer by using a combined dual-side filtering algorithm and a combined WLS algorithm; de-noising processing is carried out on the detail layer by using stockham FF; and then image restoring is carried out by changing frequency spectrum contraction and image adding methods, thereby realizing the de-noising effect. According to the invention, on the basis of characteristics of large execution function processing data volume and high data parallelism of the base layer obtaining and detail layer de-noising processing, the openCL platform model is used and parallel calculation of the image de-noising algorithm is realized on GPU; and then details of the calculation process are modified, wherein the modification processing contains local internal memory usage, proper working team size selection, and parallel reduction usage and the like. The speed-up ratio of the de-noising algorithm that is realized finally can reach over 30 times; and thus the practicability of the algorithm can be substantially improved.

The invention belongs to the technical field of digital twinning, and particularly discloses an intelligent assembly workshop quality prediction and control system and method based on digital twinning. The system comprises a platform model building module, a real-time data collection module, a data processing center, an assembly dynamic simulation module, and an assembly abnormality detection module. The abnormity detection module comprises an assembly quality detection unit, a connection gap detection unit, a centrifugal shaking detection unit, an abnormal point marking unit and an abnormal reason inspection unit. The system and the method are scientific and reasonable, and safe and convenient to use; the abnormity detection module is used for carrying out multiple items of quality detection on an assembled finished product; the quality of the assembled finished product can be effectively ensured; and meanwhile, the abnormal point marking unit is used for marking an abnormal point, sothe time spent by the worker for checking the abnormal point is shortened; the abnormal reason inspection unit is used for displaying the reason of the abnormality of the assembly equipment; and thetime spent by the worker for checking the fault of the assembly equipment is also shortened.

The invention relates to a constructing method for an AVC soft simulating closed-loop system based on a real time digital system (RTDS). The detecting method comprises a model, a data input and output interface program and a reactive voltage control efficiency detecting program package. The model comprises a closed-loop system platform model and a central control system model, the system platform model and the central control system model are constructed by an RTDS power and operation system element to simulate a real system, and the data input and output interface program achieves real time data acquisition and control strategy return executing. The reactive voltage control efficiency detecting program package performs reactive optimizing calculation on the system to obtain an optimizing control strategy. The detecting method achieves the aim of control efficiency detection of an existing regional power grid AVC system.

The invention discloses a moonlet test basic information generation method based on a platform model. The moonlet test basic information generation method comprises the following steps: firstly, establishing digital platform models for different types of moonlet common platforms; according to the type of the common platform of a moonlet to be tested, selecting the corresponding digital platform model; according to the digital platform model, establishing a basic information database for the moonlet; according to the requirements of the subsystem of the moonlet to be tested, carrying out adaptability revision on information in the basic information database; adding the basic information of a loading subsystem and a data transmission subsystem into the revised basic information database; obtaining the test basic information database of the moonlet to be tested; and extracting the basic information which needs to be tested from the test basic information database of the moonlet to be tested by ground comprehensive test application software through an information retrieval extraction system for subsequently testing the moonlet. When the method is applied, the basic information database does not need to be established for each moonlet, test time and cost is saved, and a test period is shortened.

The invention discloses an OpenCL and SoC-FPGA-based K neighbor sorting accelerating method, which comprises the following steps: S1: establishing an SoC-FPGA heterogeneous platform model; S2: establishing an OpenCL host program with a control action at an ARM host port; S3: establishing an inner core by a host program of the ARM host port; S4; configuring and calling an inner core program of an FPGA equipment port by the ARM host port and transmitting data to the FPGA equipment port; S5: calculating an Euclidean distance of data of data distance training sets to be classified by a first inner core program and generating a distance matrix; S6: performing incomplete sorting on each row of the distance matrix by a second inner core program, screening K minimal distance of each row, finding corresponding training set element types and sending back to the ARM host port for processing; S7: performing type counting and classifying by the ARM host port. According to the invention, an OpenCL standard is used for realizing and optimizing the FPGA of a K neighbor sorting algorithm, a system level procedure is formed at the ARM port and the FPGA port, and compared with the traditional GPU heterogeneous computing system, the method has the advantages of lower power consumption and higher energy efficiency.

The invention discloses a takeoff stability modeling method. The method comprises the following steps: firstly establishing an ascender and a takeoff platform model, establishing locking constraint between the ascender and the takeoff platform model, and establishing contact relationship between extraterrestrial object surface soil and a takeoff platform; and carrying out calculation by adopting a quasi-static landing process simulation method to obtain an extraterrestrial object surface takeoff initial attitude of a combination of the takeoff platform and the ascender and a support load of the takeoff platform, carrying out physical parameter sensitivity analysis to obtain parameters with relatively high takeoff stability sensitivity, taking the worst numerical value in an initial range of the parameters to carry out calculation so as to obtain a takeoff stability boundary, comparing a numerical value of the boundary with the ability of an attitude control system, and carrying out iterative calculation to finally obtain an ascender takeoff stability boundary which satisfies an ability range of the attitude control system. The invention discloses a set of integrated ascender attitude takeoff stability boundary modeling method which is high in feasibility for the first time, and the method can be used for the parameter design and optimization of spacecraft.

A method of determining application rate of phosphate fertilizer for a sugarcane field comprises 1) selecting sites and applying the fertilizer, to be specific, selecting tens of test sites from a sugarcane area, and treating with four different phosphorus application plans; 2) acquiring and measuring samples; 3) simulating a relationship between crop yield and rapidly available phosphorus contentof soil through a double-straight-segment model, a linear-platform model and a Mitscherlich model so as to determine agricultural threshold of rapidly available phosphorus for sugarcane being 22.8 mgkg<-1>; 4)performing integrated yield response, phosphate fertilizer utilization and soil fertility analysis to determine a suitable range of rapidly available phosphorus content of soil for the sugar area being 22.9-50 mg kg<-1>; and 5) determining recommended phosphorous application rate of 120 kg P2O5/ha for the soil having the rapidly available phosphorus content close to the agricultural threshold of phosphorus. The phosphate fertilizer application rate for the sugarcane field determined via the method herein is significant to the guidance on sugarcane production and efficient use of phosphate fertilizer and to the avoidance of waste of finite phosphorite resources and major environmental pollution risk.

The invention provides an operation process scheduling method based on modeling platform model, which comprises the steps: S1, receiving a json file which is sent by a machine learning platform and isused for defining a DAG, and transmitting the json file to a DAG scheduling platform; S2, analyzing the json file by a DAG scheduling platform, converting the json file into structured data, and storing the structured data into a Mysql database; and S3, calling the json file by the DAG scheduling platform, starting scheduling dag to define each operator task, and executing an environment corresponding to an operator task distribution channel according to the operator type of each operator task. According to the invention, the coupling of service codes and scheduling codes can be reduced. Distributed task scheduling is supported, and the performance bottleneck of a single machine under complex scheduling is solved. The DAG can reflect the dependence and time sequence relationship among thetasks, so that the tasks are accurately endowed with priorities in the task selection stage, and the scheduling performance is effectively improved.

The invention provides a model reference self-adaptive neural network-based three-axis inertial stabilization platform control method and relates to the disturbance rejection design based on the control parameter online estimation of an adaptive neural network and an expansion state observer. According to the method, firstly, according to a three-axis inertial stabilization platform dynamics model, constructing an adaptive neural network for the online estimation of adaptive neural network aiming at the time-variant characteristics of feedback control parameters caused by the uncertain model parameters of the three-axis inertia stabilization platform, so as to enable the control precision of the three-axis inertial stabilization platform to approach an expected model control precision; secondly, aiming at the estimation error of the adaptive neural network and the influence of a disturbance compensation controlled variable constructed on the three-axis inertial stabilization platform on the control precision, constructing the expansion state observer to estimate and inhibit the disturbance. In this way, the high-precision control of the three-axis inertial stabilization platform in a complex environment is realized. The method has the advantages of being good in real-time performance, high in dynamic parameter response, high in multi-source interference adaptability and the like. The method can be used for the high-precision control of the three-axis inertial stabilization platform in the complex multi-source interference environment.