72 results about "Network variable" patented technology

An improved apparatus and method for communicating information in a networked system wherein network variables are employed to accomplish such communication. Network variables allow for standardized communication of data between nodes in a network. A first node may be programmed, for example, to sense certain information and to report the information as a network variable X. A second node may be programmed to receive the variable X and to control devices based on the current value of the variable. The present invention provides for defining connections between the first and second node to facilitate such communication and for determining addressing information to allow for addressing of messages, including updates to the value of the variable X, between the nodes.

A tool is provided for use when replacing devices in an automatically controlled distributed processing system. In one embodiment a network management tool reestablishes all or a portion of the logical connections formerly provided to a bound node where a replacement device is or will be located. The network management tool compares data associated with the logical connections of the bound node and data associated with the logical connections for the replacement device to determine proper logical connection. The network management tool identifies network variables associated with the bound node that are not associated with the replacement device and deletes those network variables from other devices on the network if the network variable is not useful in the network after the replacement device is bound.

An environmental control system is configured to accept network variable outputs from a plurality of sources on a single network variable input and the update values are stored in a data structure for the computation of control variable values. The system includes a sink controller having a network variable input and a plurality of sources, each having at least one network variable output coupled to the network variable input of the sink controller. A data structure is provided so that update values from the sources may be stored in the structure with reference to the sources that provided the update values. Aggregate values, such as a mean average, minimum value, maximum value, standard deviation, variance, sum, or product may be computed from the values stored in the data structure.

A network tool is provided for use when replacing devices in an automatically controlled distributed processing system. The network tool reestablishes all or a portion of the logical connections formerly provided to the node where the replacement device is or will be located. The tool compares data associated with the logical connections of the node and data associated with the logical connections for the replacement device to determine proper logical connection. In one embodiment, the compared data comprises network variables and configuration properties.

The invention discloses an optimization method of a network variable structure with a distributed type power supply distribution system. The optimization method includes that basic static data of electric power network structure parameters, distributed type power supply distribution, load capacity, faulty lines and the like are extracted, under the condition of present line fault, the basic static data are utilized to perform islanding scheme calculation and correction, survivability indexes constructed by the method are combined to perform an online evaluation for islanding network safe operation performances and implement immediate control measures, finally, on account of residual network structure data after final islanding electric power network division is performed, by means of an ant colony algorithm, a reconfiguration optimal computation is performed for residual network with minimum network loss as a target, and finally the electric power network structure with high safe operation level is obtained. On the basis of the developed algorism and function modules, the invention further provides a large-scale power distribution network intelligent optimization decision system based on multi-stage computation correction and survivability evaluation, according to the technical scheme, the division and reconstruction of the network with the generalized model distributed type power supply distribution system are achieved, and accurate reference of network structure adjustment, schedule and operation can be excellently provided for regional electric power network schedule staffs.

A communications system and protocol for use in a non-dominant bit radio network. The radio network includes transceivers which communicate with other transceivers to allow network variables to be shared by all transceivers. The protocol allows the network to handle collisions between competing transmissions from different transceivers. The protocol also handles communications between transceivers that are out of transmitting range of each other.

The invention facilitates improved configuration of computer network data collection. In one respect, the invention is a method for determining a network data collection configuration for an entity utilizing a computer network. The method determines which nodes in the network are associated with the entity, reads a view definition associated with the entity and determines which network variables are components of the health score, selects from the nodes associated with the entity those nodes that are components of the view, and produces a configuration file that specifies the network variables for each corresponding selected node. The data collection preferably utilizes the SNMP protocol. The determining step preferably queries a database that stores entity-node associations. The view definition is preferably an XML file and refers to all nodes of a particular device type, so that the selecting step can filter network nodes by device type. In a preferred form, the network is the Internet, the method is performed by an Internet service provider, and the entity is a customer of the Internet service provider. Optionally, the method reads and utilizes a template for the configuration file. In another respect, the invention is an apparatus. The apparatus comprises a first database that stores entity-node associations, a view definition associated with an entity, a second database that stores node device type information, and a network data collection configuration generation tool, connected to the above. The network data collection configuration generation tool generates a network data collection configuration file customized to the view definition.

Disclosed is a method for locating a mobile radio unit within a mobile radio communications network. The method provides for the calculation of network variables such as a Real Time Difference (RTD) between network elements, from measurements already available to the network from, for example, handovers between network elements. The method provides for the location of radio mobile units without having to synchronise network elements such as BTSs or LMUs.

The invention discloses an android-based double-network-card concurrence implementation method. The method includes the steps that an application layer invokes and enables a mobile data function and a WIFI function to start a mobile network and a WIFI network; after connection of a new network is established, whether two default networks are activated or not is judged; if yes, the newly connected network and network state information of the new network are reserved, the new network and an original network coexist, and the process is ended; otherwise, whether a network transition wake lock variable is in a held state is judged, if yes, a time delay is set to close a screen, and otherwise, a default network variable is updated and activated to achieve network connection, the type of a running network is reset, and other variables are updated; a teardown request is set to be 'no', and network settings are updated; settings of a route, settings of a domain name system, settings of a network interface and link attributes are updated; a newly connected network is switched to, a broadcast message is sent to a network state service, and the network state service is notified that the name of the network interface is changed.

The invention discloses a bearing state noise diagnosis algorithm facing network variable screening and characteristic entropy fusion. A sensor collects bearing operation noise signals. The noise signals are segmented according to a time sequence and form a sample set. A time-frequency domain characteristic of a sample is extracted so as to acquire a time-frequency-domain one-dimensional characteristic row vector. An average influence value algorithm is adopted to realize first characteristic variable screening so as to acquire a sensitive characteristic set, and through calculating a characteristic entropy of the sensitive characteristic set, characteristic secondary screening and dimensionality reduction are performed on an average influence value similarity characteristic so as to acquire a final characteristic set. A PSO or GA optimization support vector machine is used to carry out training and establish a fault diagnosis model so as to determine a bearing fault type and output aresult. In the invention, complementarity of a characteristic average influence value and the characteristic entropy based on a network in characteristic selection and characteristic classification isused; and a disadvantage that the characteristic selection and a neural network classification algorithm are mutually isolated in bearing noise diagnosis is overcome so that a time-frequency domain characteristic index well reflects a bearing operation state and a classification network characteristic.

The invention relates to an automatic switching control method of hot-standby redundancy of a remote control computer. The method is applied to a ground measurement-launch-control flow of a launch vehicle to realize hot-standby redundancy switching of a remote control computer during long-distance testing. Hardware units of two re mote control computers redundant to each other are equipped with dual-network cards, dual-network card binding is carried out by an INTEL Team technique and only one IP address is used externally, and a network is formed by a dual-machine-redundant Ethernet switch. The two remote control computers can issue network variables by the Ethernet network to realize a mutual monitoring function; and data communication is carried out by the Ethernet network and a programmable logic controller (PLC). When a fault occurs at one remote control computer, the other remote control computer monitors the state of the fault remote control computer and the current control state of the fault computer is synchronized to the other fault-free computer automatically, so that automatic switching control is realized.

The invention discloses an encryption and decryption method and system of a network model. The encryption method comprises the following steps: extracting a network structure definition file in a network model file; and encrypting the network structure definition file through the first secret key and an encryption algorithm; and extracting a network variable name file in the network model file; and encrypting the network variable name file through the second secret key and the encryption algorithm; and generating an encrypted network model file according to the encrypted network structure definition file and the encrypted network variable name file. According to the method, part of files in the network model file are encrypted without a secret key, so that the security is improved, and theencryption process is simplified. And later use of the model, such as updating, is more convenient.

The present invention pertains to specifying, analyzing and evaluating systems such as distributed content distribution networks. Systems and methods are provided to predict how new deployments and changes to existing architectures will impact the networks. A network design may prepare a “what-if” scenario and the impact of this scenario may be predicted. Various tools are provided to determine relevant network variables and collect data about such variables, to learn what dependencies may exist among relevant variables, to prepare an input distribution and to output a predicted impact for the what-if scenario. Thus, a system designer is able to see a predicted impact that a network change or new deployment will have without having to resort to back of the envelope calculation or costly field deployments.

The present invention provides a method for route and resource allocation. One embodiment of the method includes determining at least one network variable associated with a network that includes a plurality of nodes connected by a plurality of links. The network variable(s) are determined based on a plurality of basic loads associated with the plurality of links and a plurality of data rates associated with the plurality of links. The method also includes determining at least one communication variable based on the determined network variable(s) and allocating at least one resource for communication over the network based on the determined network variable(s) and the determined communication variable(s).

A tool is provided for use when replacing devices in an automatically controlled distributed processing system. In one embodiment a network management tool reestablishes all or a portion of the logical connections formerly provided to a bound node where a replacement device is or will be located. The network management tool compares data associated with the logical connections of the bound node and data associated with the logical connections for the replacement device to determine proper logical connection. The network management tool identifies network variables associated with the bound node that are not associated with the replacement device and deletes those network variables from other devices on the network if the network variable is not useful in the network after the replacement device is bound.

The invention discloses a natural gas pipeline network variable-voltage generation and cooling system and method. The system comprises an expander, a gearbox connected with the output end of the expander, a generator driven by the gearbox, and a heat exchanging device, wherein the gas inlet of the expander is connected with a high-voltage pipeline network; the generator powers power and cooling consuming equipment such as high-power-consumption cloud computing servers requiring to be cooled; one end of the heat exchanging device is connected with the gas outlet of the expander, and the other end of the heat exchanging device is connected with a lower-stage pressure pipeline network; heat-exchanged coolant flows through a cold blast device to cool the power and cooling consuming equipment. The natural gas pipeline network variable-voltage generation refrigerating system can generate power through pressure generated due to expansion of natural gas and supply power for power consumption equipment, thereby omitting an intermediate power grid and saving investment; cold energy of post-generation low-temperature natural gas can be recovered and supplied to cooling consuming equipment; due to the fact that coolant heat exchanging can increase the temperature of natural gas, electricity-consumed or natural gas-consumed heating can be omitted or saved, and energy consumption can be reduced.

A method of performing loadflow calculations for controlling voltages and power flow in a power network by reading on-line data of given / specified / scheduled / set network variables / parameters and using control means, so that no component of the power network is overloaded as well as there is no over / under voltage at any nodes in the network following a small or large disturbances. The invented generalized Super Super Decoupled Loadflow (SSDL) calculation method is characterized in that 1) modified real power mismatch at any PQ-node-p is calculated as RPp=[ΔPp′+(Gpp′ / Bpp′)ΔQp′] / Vp2, which takes different form for different manifestation of the generalized version SSDL-X′X′ method, 2) transformed values of known / given / specified / scheduled / set quantities in the diagonal elements of the gain matrix [YV] of the Q-V sub-problem are present, and 3) transformation angles are restricted to maximum of −48° particularly for the most successful version SSDL-YY method, and these inventive loadflow calculation steps together yield some processing acceleration and consequent efficiency gains, and are each individually inventive. The other two Super Super Decoupled Loadflow methods: BGX′ version (SSDL-BGX′) and X′GpvX′ version (SSDL-X′GpvX′) are characterized in the use of simultaneous (1V, 1θ) iteration scheme thereby calculating mismatches only once in each iteration and consequent efficiency gain.

Variable Rate Congestion Controllers and methods for implementing Variable Rate Congestion Control are presented. An efficient and systematic method for performing variable rate network congestion control is presented. A selection mechanism is selected such that the end result for the network congestion control is that each variable rate network flow suffers approximately equally through the congested node. This achieves a fair policy of implementing Quality of Service for variable rate streaming data.

The present invention includes a system (FIG. 4) for servicing messages between device controller nodes and control applications via a Lon Network, wherein the device controller nodes includes a plurality of network variables for defining parameters of the Lon Network. The system includes a server for servicing the messages from at least one control application, a proprietary communication value for indicating a network variable value from the control applications, and a Lon value for indicating a network variable value exposed on the Lon Network. There is also a method that includes the steps of reading a message from the control application, verifying whether the message is valid, determining the requested function for a specified network variable from the message when the message is valid, executing the requested function for the specified network variable, and sending subscribed reports in response to a change of value of the network variables independently of the foregoing steps (170).

An IPsec-protocol-based communication method for wireless IP network variable area relates to a communication method of wireless IP network, which solves the contradiction and incompatibility between the performance enhancement technology and network layer security protocol in prior art. The IP packet to be sent is divided into a plurality of regions according to the IPsec protocol to generate an IPsec packet and the mapping of the regions are packaged in ESP header and the regions are provided with security related information at different levels; sending and receiving terminals include all the security related information of all the regions and the certified performance enhancing intermediate nodes in the data transmission path only comprise the security related information of some regions. The method of the invention can guarantee the end-to-end security of the network layer and support TCP enhancing gateway of transport layers and the security protocol for HTTP acceleration agent of application layers. The invention can be applied in the IP satellite network communication and similar terrestrial wireless channel environment.

The present invention provides a method for route and resource allocation. One embodiment of the method includes determining at least one network variable associated with a network that includes a plurality of nodes connected by a plurality of links. The network variable(s) are determined based on a plurality of basic loads associated with the plurality of links and a plurality of data rates associated with the plurality of links. The method also includes determining at least one communication variable based on the determined network variable(s) and allocating at least one resource for communication over the network based on the determined network variable(s) and the determined communication variable(s).

The invention discloses a power plant integrated controller integrating communication management and programmable logic control. The power plant integrated controller is an integrated base control platform of a power plant data communication system (DCS), a national communication system and an auxiliary system. The power plant integrated controller includes all the functions of a traditional power plant system DSC controller. The power plant integrated controller is capable of making a control strategy according to technological requirements and control methods of a main engine, an auxiliary engine and electrical equipment, achieving a process control task through the programmable logic control, ensuring coordinate and orderly work of a control device of a power plant, completing communication access, control, management, system diagnosis and the like of intelligent equipment and electrical equipment and other intelligent electronic devices (IED) due to a professional IED device management module, using a field bus technology to achieve collection of field process signals and communication access of the intelligent equipment, managing network variable using a special mode of project design document (PPD), achieving share of data information among controllers, and at the same time improving reliability of the integrated design through various reliable design methods such as hardware, network redundancy and the like.

A method of performing loadflow computations for controlling voltages and power flow in a power network by reading on-line data of given / specified / scheduled / set network variables / parameters and using control means, so that no component of the power network is overloaded as well as there is no over / under voltage at any nodes in the network following a small or large disturbances. A loadflow computation method could be any method including invented Patel Decoupled Loadflow (PDL) method, and Decoupled Gauss-Seidel-Patel Loadflow (DGSPL) method. The invented Patel Decoupled Loadflow (PDL) calculation method is characterized in 1) the use of the same coefficient matrix [GB] for both the p-f and q-e sub-problems of the loadflow computation; 2) almost no effort in the modified mismatch calculations in the iteration process; and 3) all the nodes in both the sub-problems being active, no refactorization of [GB] required for implementation of Q-limit violations. These features make the invented PDL method computationally almost two times more efficient than the current state-of-the-art Super Super Decoupled Loadflow (SSDL) method. The invented DGSPL calculation method is characterized in decoupling the calculation of real and imaginary components of complex node voltage leading to increased stability and efficiency of the DGSPL calculation method.

A system for solving a dynamic constraint satisfaction problem comprises a constraint network of variables and constraints. The system creates a first sub-problem model that includes a first model type, one or more first variables and zero or more first constraints. The system propagates the first constraints through the constraint network and determines if a first conflict is detected from propagating the first constraints. If the first conflict is detected, the system restores the constraint network variables to a first previous state before the first constraints were propagated. The system creates a first sub-problem set that includes a second model type and one or more sub-problem models. The system connects the first sub-problem model to the first sub-problem set via a second constraint and propagates the second constraint through the constraint network.

A system for solving a dynamic constraint satisfaction problem comprises a constraint network of variables and constraints. The system creates a first sub-problem model that includes a first model type, one or more first variables and zero or more first constraints. The system propagates the first constraints through the constraint network and determines if a first conflict is detected from propagating the first constraints. If the first conflict is detected, the system restores the constraint network variables to a first previous state before the first constraints were propagated. The system creates a first sub-problem set that includes a second model type and one or more sub-problem models. The system connects the first sub-problem model to the first sub-problem set via a second constraint and propagates the second constraint through the constraint network.

The invention discloses a photovoltaic inverter, a control method of the photovoltaic inverter, and a photovoltaic system. The photovoltaic inverter comprises a grid-connection industrial frequency circuit, an off-network variable-frequency circuit and an inverter control unit, wherein the input end of the grid-connection industrial frequency circuit is used for inputting the power output by a photovoltaic assembly; the output end of the grid-connection industrial frequency circuit is connected to the grid-connection connection end and the load connection end of the photovoltaic inverter; theinput end of the off-network variable-frequency circuit is used for inputting power output by the photovoltaic assembly; the output end of the off-network variable-frequency circuit is connected to the load connecting end; the inverter control unit is electrically connected with the off-network variable-frequency circuit and the grid-connection industrial frequency circuit, and is used for controlling the grid-connection industrial frequency circuit to work in a grid-connection operation mode; when the grid-connection industrial frequency circuit works, the power is output to the electric network connected with the grid-connection connecting end in a P / Q mode; in an isolated island operation mode, the off-network variable-frequency circuit is controlled to work; when the off-network variable-frequency circuit works, the power is output to a load connected with the load connection end in a V / F mode. The sufficient utilization on the output power of the photovoltaic assembly under the condition of no need of an energy storage battery is realized.

The invention provides a meteorological element interpolation assessment method based on a Delaunay triangle network. The method is characterized by carrying out specific rule sampling or random sampling on meteorological element data of an area observation station, establishing the Delaunay triangle network of meteorological elements by utilizing a two-dimensional convex hull parallel algorithm, carrying out Delaunay triangle network variable resolution spatial interpolation on the meteorological element data to obtain meteorological element spatial distribution, and carrying out approximate reverse on the meteorological elements in spatial and temporal distribution to obtain meteorological element data in the regional scale. The method in the invention, based on the conventional meteorological element interpolation method, according to the practical application requirements that the spatial interpolation can keep the original observation data to be unchanged and balanced between the efficiency and accuracy, enables the deviation and smoothness of the whole grid to be controlled within a certain threshold range, and thus more accurate meteorological element data can be obtained.

Computing environments employing Artificial Intelligence (AI) are disclosed for enabling network operators to optimize messaging performance, particularly 5G (and future 6G) messaging performance, in real-time. For example, AI structures can assist in the selection and optimization of modulation tables. Three development phases are described: network data acquisition including faults experienced under various network conditions, AI structure tuning for accurate prediction of performance, and implementation of an algorithm based on the AI structure. Network operators can use the algorithm to compare predicted performance metrics according to various operating conditions, such as available modulation tables, and thereby select operating parameters for improved message reliability and throughput. The algorithm can also be used to adjust network variables, such as particular amplitude or phase levels in modulation tables.