209 results about "Connection model" patented technology

The invention provides a smart substation process level secondary circuit fault diagnosis method. The method includes the following steps that a physical connection model is built in a process level network; an SCD file is parsed, and the logic connection relation among devices is analyzed; on the basis of a process level communication topology structure, the logic connection abnormity is mapped to the physical connection according to the related communication link abnormal information, the network topology scanning is conducted, and communication link abnormal nodes are analyzed. According to the smart substation process level secondary circuit fault diagnosis method, the sending and receiving link relation of the process level information is analyzed through the SCD file, the information transmission path of information is searched out in combination with the topological structure, abstract and modeling are conducted on switches, devices and links and communication units in the secondary circuit, the topological structure of the communication network is built, the link scission alarm information of a receiving device is combined, and the fault unit is judged out through comprehensive diagnosis. The whole method is simple, reliable and efficient, contributes to quick communication fault point positioning, and guarantees reliable operation of the secondary circuit of the smart substation.

In some embodiments, user-selectable/connectable model representations may be provided via a user interface to facilitate artificial intelligence development. The model representations may comprises first and second machine learning model (ML) representations corresponding to first and second ML models, and non-ML model representations corresponding to non-ML models. Based on user input indicating selection of the first and second ML model representations and a non-ML model representation corresponding to a non-ML model, at least a portion of a software application may be generated such that the software application comprises (i) an instance of the first ML model, an instance of the second ML model, and an instance of the non-ML model and (ii) an input/output data path between the instance of the first ML model and at least one other instance, the at least one other instance comprising the instance of the second ML model or the instance of the non-ML model.

The invention discloses an analog circuit fault diagnosis method and an implementation method of the analog circuit fault diagnosis method. The content includes the first part of analog circuit fault feature information extraction, the second part of fault classifier construction, and the third part of implementation of algorithm software. The analog circuit fault diagnosis method includes the following steps of constructing a fault feature information base, selecting an optimal mother wavelet through an information entropy maximizing principle, conducting wavelet decomposition on response nodes of a measured circuit, extracting the optimal feature of the measured circuit, conducting dimensionality reduction on the fault features through principal component analysis, conducting fault classification and intelligent diagnosis, constructing a fault diagnosis device according to the obtained fault feature information and through a multi-classifier cascade connection model and the classifier integration technology so as to recognize existing faults and causes of the faults, and conducting specific implementation on the algorithm through a C#.NET platform and through combination with the Weka software. The diagnosis method and the implementation method have the advantages of being high in fault diagnosis performance, wider in diagnosis range, higher in algorithm robustness and higher in interpretability.

The invention relates to a method for building a virtual experiment information representation model, which comprises the following steps of: (1) building a virtual device list and a virtual experiment operating platform on a client side; (2) building a device object model corresponding to an actual physical device, and adding a virtual device on an interface of the virtual experiment operating platform graphically; (3) setting a physical attribute and a display attribute of the built device object model, connecting pins of the device object model, generating a connection model corresponding to a connecting line, and constructing the device object model and the corresponding connection model to form an experiment scene; (4) initiating simulation, and sending the experiment scene to a server side; (5) mapping the device object model in the experiment scene into a corresponding simulation device object model by the server side, and generating a simulation scene; (6) calling a simulation module by the server side, analyzing and operating the simulation scene, and transmitting a simulation result model back to the client side; and (7) analyzing the received simulation result model by the client side, and carrying out graphic display on data. The method provided by the invention can be widely applied to multi-disciplinary virtual experiments.

The invention provides a method for maintaining the predication capability of a spectrum correction model of a complex system under the conditions that an optical spectrum instrument or experiment conditions are changed. The method comprises the following steps of: 1) detecting the spectrum data of a plurality of standard samples; 2) predicting the concentration (or other chemical and physical properties) of an ingredient to be of detected of the standard sample from the spectrum data of the standard sample by using an original spectrum connection model, and predicating system offset; 3) building a prediction result correction model between the spectrum data of the standard sample and the system offset of the prediction result of the correction module; and 4) combining the prediction result correction model with the original correction model in use so as to solve the common problem that the accuracy of the prediction result varies with the optical spectrum instrument or the experiment conditions. The method is convenient to use and wide in application scope, realizes the sharing of the spectrum correction model among the instruments of the same kind and has validity for long-term use even if the experiment conditions are changed.

The invention discloses a connection method of an Internet of Vehicles massive heterogeneous network with infrastructure in a city scene. The method comprises that firstly, on the basis of adjacent intersections, an intersection gateway build a forwarding path, namely a primary road network, for a target vehicle; on the basis of all possible primary road networks between a source vehicle and the target vehicle, the intersection gateway applies an Internet of Vehicles connection model to calculate and compare the connection possibility of each primary road network; the primary road network with the highest connection possibility is selected out as the forwarding path; the process of calculating the forwarding path is shown in an algorithm 1; and secondly, when the source vehicle receives the primary rod network expressed forwarding path sent by the intersection gateway, a data subgroup is forwarded; and an algorithm 2 specifically describes a data subgroup forwarding process. According to the method, the quality of service demand of an upper layer application can be satisfied; the approximate optimum solution of the connection model is solved by a genetic algorithm; and the forwarding paths demanded by the application program can be found out rapidly.

The invention provides a topological interference alignment method of an MIMO interference broadcast channel for solving the technical problem that the topological interference alignment of generalized MIMO cannot be realized in the prior art. The method comprises the following steps: setting the system; constructing a partial connection model of MIMO IBC, and then converting the same into the partial connection model of MIMO IC through virtual base station expansion; solving a precoding matrix and a decoding matrix of an MIMO IC system satisfying a topological interference condition; designing an MIMO IBC precoding matrix and a decoding matrix, and eliminating inter-cell interference through proper signal processing technology; and designing a precoding matrix of a base station to eliminate intra-cell interference. By adoption of the topological interference alignment method provided by the invention, the topological interference alignment of generalized MIMO IBC can be realized, and a lower limit of a degree of freedom that can be reached by the MIMO IBC system with given topological information can be analyzed.

The invention discloses an artificial diamond compact lathe tool grinding device. The artificial diamond compact lathe tool grinding device comprises a grinding disc spindle head, a grinding wheel grinding disc, a fixture, a 360-degree rotating fixture spindle and a feeding carriage, wherein the grinding wheel grinding disc is mounted on the grinding disc spindle head, the fixture is connected below the 360-degree rotating fixture spindle in a hinge connection model, and the 360-degree rotating fixture spindle is fixed on the feeding carriage which is capable of moving vertically. The artificial diamond compact lathe tool grinding device has the advantages that high processing efficiency to artificial diamond compact lathe tools is realized, product quality is remarkably improved, grinding consumption is greatly reduced, and the like.

The invention discloses a path calculating method for wavelength division equipment, belonging to the field of optical communication. The method comprises firstly determining data parameters of network; then carrying out single-layer path searching according to the sequence from a service layer to a task layer and according to the determined data parameters to obtain path of each layer, wherein the data parameters include port characteristic type, net element internal connection type data, and connection type data among net elements. The invention has higher extensibility and reusability, can be easily understood and conveniently maintained, and simultaneously can effectively reduce the software maintenance and costs for upgrading and extending.

The present invention provides a method and system for interfacing with a model regardless of model type. An abstract interface is provided for interfacing a model. The abstract interface is compatible with a plurality of model types. A call can then be made to a dynamic model via a method specified by the abstract interface. Data is then received from the dynamic model in response to the call. In certain embodiments the abstract interface is an application programming interface (API).

The invention relates to an abnormal network connection detection method based on deep learning. The method comprises the following steps of extracting a network connection identification field for each network flow record, and aggregating all network flow records according to the network connection identification fields; constructing a network connection model based on a deep neural network; constructing an abnormal network connection detector, using the output of the network connection model as the input, and synchronously training with the network connection model in order to obtain a detection result for network connection; utilizing a data set to carry out parameter adjustment optimization and false alarm control on the network connection model and the abnormal network connection detector, and if an expected effect is achieved, finishing training and storing network parameters and structures; and inputting network connection records to be detected into a combined model of the trained network connection model and the abnormal network connection detector, and outputting the abnormal network connection records. According to the method, the abnormal network connection can be foundout, and the method does not depend on an artificial network connection model.

The invention relates to a distribution network connection method and belongs to the distribution network method technical field. The distribution network connection method adopts that a primitive connection type is the basic unit of the distribution network transmission electric energy; a point-to-point connection type from a power supply to a load comprises an overhead primitive connection and a cable primitive connection. The distribution network connection method identifies the types and magnitudes of the primitive connection, forms the distribution network connection method in an inferring mode, and accesses the types of the distribution network connection. The appraisal types of the distribution network comprise a reliability access, an economic access, and a security access. The distribution network connection method chooses an optimized connection model, introduces obscure subordinating degree function to solve the problem of inconformity of all kinds of index dimensions, and achieves selecting the optimized connection type under different emphasis through dynamic weighting. The distribution network connection method has the advantages of avoiding a former inherent flaw of the connection type, improving the security index, an obscure subordinating degree and a weighting thought, providing novel synthetic evaluation module for the distribution network connection, and has a significant practical value and referential meaning on construction of the distribution network by introducing an obscure inference method to constitute the distribution network connection type.

The invention discloses a power system fault calculation result calibration method. According to the power system fault calculation result calibration method, whether power system fault short-circuit fault calculation has problems or not is calibrated and identified through overall process calibration according to different circuitry principle, the overall process calibration comprises electrical power system primary equipment parameter calibration, electrical power system circuit and primary equipment connection model calibration, electrical power system model calibration and short-circuit calculation calibration, a short-circuit calculation portion is verified through a power system fault calculation result based on the Kirchhoff's laws, and overall process closed loop management of short-circuit fault calculation is achieved.

The invention belongs to a hydrodynamic test technology and particularly relates to a test device for a high-speed hydrodynamic launch vehicle towing system based on magnetic motive force. The test device comprises a rectifier, a control system, a displacement sensor, a PC, a magnetic motive force launch vehicle, a towing main rod, a circular pull rod, a model fixing structure and a test model. The PC is sequentially connected with the control system and the rectifier; the displacement sensor is arranged on the magnetic motive force launch vehicle; the control system is connected with a powerand braking part of the magnetic motive force launch vehicle and is also connected with the displacement sensor; both the towing main rod and a side pull rod are arranged under the magnetic motive force launch vehicle and are in intersection connection with the model fixing structure; the test model is arranged on the model fixing structure. The high-speed hydrodynamic launch vehicle towing systemtest device provided by the invention has the benefits that a magnetic field is provided by utilizing a direct-current motor base; an energized rotor is subjected to Lorentz forces in the magnetic field to provide stable operating power, so that the test model can operate more stably and effectively according to the test speed. Therefore, the stability is higher, and the experimental data is moreaccurate.

The invention relates to a method for dealing with online connection of skewed data streams. The method comprises the following steps: performing tuple partition on a data stream R and a data stream S according to a Hash function based on a key value, assigning various tuples to different nodes at the same side for storage, and transmitting the tuples to processing units at the other side synchronously to complete the operation of the online connection; periodically monitoring the load statistics of nodes at each side of a bipartite graph connection model with a preset time interval, and collecting and transmitting the load statistics to a pre-built data stream controller; if the data stream controller monitors that some processing units exceed a critical value of a load balancing factor, then dynamically developing a migration strategy according to a heuristic rule; before data migration, temporarily storing a newly generated data stream in Kafka, and suspending the connection operation of the new data; at the moment, carrying out migration of the data streams and connection state information according to the migration strategy, and updating a routing table synchronously; and continuing to transmit the data temporally stored in the Kafka and the new data, and completing the subsequent online connection operation.

Described is a method and system that enables open, non-proprietary and extensible visualization and modeling tools by providing multiple-way negotiations between model element end points (nodes) and a connecting model element (arc). Based on these negotiations, a user is guided to make appropriate interconnections between model elements. A protocol is provided for intelligent model elements (objects) to communicate their information to one another, e.g., an arc communicates its capabilities and requirements to a node, and vice-versa, whereby the model element objects themselves decide whether they can interconnect, and if so, how they need to interconnect. The objects themselves enforce semantics and rules. According to the protocol, either object can reject the interconnection (break off the negotiation) with the other object if it determines it is not compatible with the other object, or is otherwise unable to connect to it.

A low level virtual machine (LLVM)-based system C compiler for architecture synthesis is provided. In one aspect, a method for translating a system C model to hardware description language (HDL) is provided. The method includes the steps of: generating a hardware connection model (HCM) from the system C model, wherein the HCM defines modules and interconnects in a hardware system; parsing the system C model into a LLVM intermediate representation (IR); converting the LLVM IR to a system LLVM IR which records correspondence information between the LLVM IR and the HCM; and generating the HDL based on direct mapping of processes from the system LLVM IR and the HCM.

The invention discloses a smashed-state coarse aggregate discrete element method. The smashed-state coarse aggregate discrete element method comprises the following steps: (1) performing initial screening of coarse aggregate particles; (2) performing CT scanning; (3) performing PFC2D modeling of discrete element software; (4) calibrating parameters of a single-particle-size coarse aggregate particle contact rigidity model; (5) performing statistics to obtain the smashing amount of single-particle-size coarse aggregate particle under penetration resistance; (6) performing statistics to obtain the smashing amount of different grades of coarse aggregate particles under penetration resistance; and (7) correcting parallel connection model parameters based on the coarse aggregate particle smashing amount. Through adoption of the smashed-state coarse aggregate discrete element method, the problem that virtual coarse aggregate particles cannot be smashed in a road engineering discrete elementsimulation process is solved. Micro model parameters of particles of different particle sizes are determined by a Cluster model in discrete element software in conjunction with statistics of the smashing amount in an indoor penetration resistance test in order to simulate a smashing process of a particle material under the action of external resistance, and the virtual coarse aggregate particle shape rebuilding accuracy is ensured by image scanning.