33results about How to "Ease of expansion" patented technology

The invention relates to the technical field of computing system virtualization, in particular to a virtual computer cluster and an implementation method thereof. Including a front-end machine and several cluster nodes, the front-end machine is a virtual machine or a physical machine; the cluster node is a virtual machine node or a physical machine node; the front-end machine is connected to the cluster node and the cluster node through a physical or virtual network card . During the cluster implementation process, the cluster management software is installed on the front-end computer, and the node monitoring program is installed on each node to construct a software system of virtual computer cluster. The cluster and its implementation method of the present invention provide a single virtual resource expansion method to support occasions where users have special requirements for computing resources, storage resources, security and stability of computing systems. It can be widely used in computer virtualization technology.

A passive optical network system based on label exchanging protocol of universal multi-protocol is prepared as connecting optical line terminal OLT to multiple optical network unit ONU by wideband passive optical distribution network , using OLT and ONU as edge router and GMPLS domain of said exchanging protocol for being connected to the other GMPLS router in said multi-protocol by communication link , using OLT as intermediate router of integrated service in system individually for controlling all communication activities , using ONU as inlet router of integrated service in system for executing command of OLT .

The invention discloses an indoor inspection robot for a transformer substation. The indoor inspection robot comprises an X-direction track, a Y-direction track, a mechanical arm and a detecting component, wherein the Y-direction track is arranged on the X-direction track and can move back and forth along the X-direction track; the mechanical arm is arranged on the Y-direction track through a mobile platform and the mobile platform can move back and forth along the Y-direction track; the detecting component is arranged on the mechanical arms; and omni-directional inspection for indoor equipment is realized by combined motion of the X-direction track, the Y-direction track and the mechanical arm.

The invention discloses an intelligent load balancing method based on a c/s (Client/Server) architecture. The method comprises the following steps that: (1) a communication connection is established between all task nodes and a load balancer by employing a c/s star structure, wherein the task nodes and the load balancer are initialized, and a long connection is maintained; (2) the task nodes periodically transmit node information to the load balancer; (3) the load balancer calculates a performance value of each task node according to the node information and determines distribution of the tasks according to the variation tendency of the performance value of each task node, if the performance of a certain task node is improved, tasks in a total task queue are distributed to the task nodes, and if the performance of a certain task node is reduced, the tasks in the total task queue are paused to be distributed to the task nodes; (4) the task nodes receive the distributed tasks and feed back a task execution log to the load balancer. According to the method, dynamic regulation of the tasks can be realized, and fine intelligent load balancing is achieved.

The invention relates to a distributed smart home control system and a distributed smart home control method. The system includes an independent comprehensive environmental monitoring system, a cloud intelligent decision-making platform and communication modules which are matched with controlled electric appliances and can be connected to the Internet. The structure of the system of the invention is simple and clear. According to the distributed smart home control system, the detection module, the decision-making module and the execution modules are independent and are separated from each other, direct point-to-point connection can be realized, and a controller or a control center is not needed at all to carry out unified management on household electric appliances; and the detection module is directly connected with the decision-making module, the decision-making module is directly connected with the execution modules, and therefore, the distributed smart home control system is advantageous in easiness in expansion and implementation. With the distributed smart home control system and the distributed smart home control method adopted, safe, comfort, convenient, energy-saving, high-level and intelligent life can be realized for people.

The invention discloses an RTLogic big data processing system and method based on the CEP technology. The RTLogic big data processing system comprises a user editor, a data collection adapter, a central processing system and an output adapter. The user editor is used for editing business intelligence logics to define an inquiry target. The data collection adapter is used for collecting data from a data source according to the inquiry target and transmitting the data to the central processing system. The central processing system is used for analyzing and processing the collected data. The output adapter is used for transmitting the data analyzed and processed through the central processing system to a monitor for display. The RTLogic big data processing method can be used for carrying out real-time and effective analysis and processing on an event flow according to the inquiry target. According to the RTLogic big data processing system and method, the CEP engine technology is adopted, filtration, correlation, matching and integration can be carried out on the data in real time to generate information valuable to a user, the price advantage and the service advantage are realized, the data mining framework is relatively simple, and the RTLogic big data processing system and method have low relay, high output and expansibility.

The invention relates to an accurate train simulation method based on a shortest path algorithm. The method comprises the following steps of (1) starting to calculate the running curve and running speed of a train in next stage when the train arrives a railway station; (2) obtaining a distance between adjacent stations according to a given railway traffic line drawing and sending a departure station and a destination station of the simulation running of the train to a simulation system by an ATS system; (3) regarding the railway traffic line drawing as a network topology map and carrying out data structurization for a real running line; (4) calculating a weight value of the train from the departure station to the destination station; (5) calculating a shortest path from the departure station to the destination station according to the Dijkstra algorithm, which is a running curve; and (6) calculating running speeds of the train at all positions according to the train running time of the train send by the ATS system to the simulation system and by considering parameters of turnouts, slope, path bends and the like. Compared with the prior art, the invention has the advantages of accuracy, conciseness, easy extensibility and the like.

The invention relates to a 3S-based pollution source monitoring system. The system is characterized in that the system comprises a model base module connected with a bottom layer data base, a load control module connected with a programmatic interface of the model base module, and a performance evaluation module connected with the model base module through the programmatic interface, wherein the load control module comprises a regional level lessening model and a pollutant discharging unit level lessening model; and the performance evaluation module comprises a pollution source cost lessening model and a processing agent cost lessening functional model. The system has good encapsulation, the interface only provides input and output, and encapsulation is perfect during processing process; the system has good expansibility, the original interface can accomplish expansion according to the requirements in the condition that the system is not required to be compiled again; and the system has good openness, besides the models provided by the system, a user can dynamically add models of the user to the system according to standards of models and model base interfaces to perform seamless integration.

The invention discloses a drip information monitoring method and system based on a ZigBee multi-hop network. The monitoring method comprises the following steps: step one, the ZigBee terminal nodes receives drip information collected by a controller by opening a serial port clock, sets a frame header and a frame tail data packet to guarantee the timely transmission of the data, and starts a sending function to forward the data packet to a ZigBee routing node; step two, the ZigBee routing node starts a task processing function, receives and packages the wireless data packet, starts wireless sending function to send the data packet to a ZigBee coordinator; and step three, the ZigBee coordinator starts the task processing function, receives and packages the wireless data packet, and starts the serial port clock to send the data packet to a gateway through a serial port. The system collects multiple drip bottle signals at once, realizes the multi-hop transmission through the ZigBee protocol, can conveniently monitor the dripping speed of the drip and the drip liquid level change more comprehensive, and can realize the real-time transmission of the drip monitoring data.

The invention relates to the technical field of integrated circuit computer aided design, and concretely relates to a parallel processing method and system for single fine granularity in capacitance extraction of random walk. The method comprises the following steps: obtaining interconnection line information, and cooperating with a process file to obtain a physical three-dimensional structure of an integrated circuit; configuring a plurality of threads and the converging precision according to user requirements and the number of processor operation cores; constructing a closed and wrapped Gaussian surface for each conductor; calculating probability density according to the area of the Gaussian surface; selecting a plurality of points from the Gaussian surface according to the probability density; putting the selected points into an operation queue as a single operation unit; enabling each thread to sequentially extract points on the Gaussian surface from the operation queue to execute random walk, and if the random walk reaches the surface of the conductor or the boundary, completing one-time random walk, and storing a random walk result until the operation queue is empty; and if the random walk result reaches convergence precision, stopping capacitance extraction, and outputting an extraction result. The method is high in parallelism and high in expansibility.

The invention provides a balanced and easy-to-expand centerless cloud storage method. The balanced and easy-to-expand centerless cloud storage method comprises the following steps of: firstly, partitioning ID space based on node capacity; secondly, adopting a routing algorithm aiming at the portioning method based on the ID space, enabling each node Ni to be responsible for a corresponding partion (D (i-1), Di], i.e. any ID is larger than D (i-1) and is less than or equal to Di, enabling each partion to be stored by the node Ni, and ensuring only one jump for routing lookup; thirdly, realizing the copy of data redundancy by adopting a redundancy copy method, and defining the redundancy degree is R; fourthly, realizing the node adding according to a node expansion method under the condition that new nodes need to be gradually added for expanding the capacity and the calculation ability when the storage capacity of a cloud storage network reaches to a fixed threshold value; and finally, carrying out balance treatment for the new nodes which temporarily break the original balance through a rebalance algorithm, and thus achieving the data balance. According to the balanced and easy-to-expand centerless cloud storage method provided by the invention, the technical problem of unbalanced storage existing in the prior art is solved, and the balanced and easy-to-expand centerless cloud storage method has the advantages of good balance performance and the like.

The invention discloses a multichannel small broadband receiver, which comprises a signal processor, a small broadband antenna group and a broadband radio frequency receiving front end group, whereinthe broadband radio frequency receiving front end group is positioned between the small broadband antenna group and the signal processor; the small broadband antennas in the small broadband antenna group are connected with the broadband radio frequency receiving front ends in the broadband radio frequency receiving front end group in a one-to-one correspondence manner; the small broadband antennagroup is used for receiving broadband microwave signals in a space; the broadband radio frequency receiving front end group amplifies, filters and down-mixes the broadband microwave signal into an intermediate frequency signal and sends the intermediate frequency signal to the signal processor; and the signal processor is used for carrying out analog-to-digital conversion on the intermediate frequency signal, converting the intermediate frequency signal into a digital signal and then carrying out digital signal processing. Under the condition that the function is not changed, the size of a conventional system can be greatly reduced.

The invention discloses a portlet structure for extending business semantic information, which comprises a service type module, an attribute information module, an individual information module, a key information interface and a matching relationship interface. The portlet structure for extending the business semantic information, which is provided by the invention, has the following characteristics of having manageability, being capable of conveniently managing a service type, attribute information, individual information, key information and matching relationship in a structure by utilizing the portlet structure for extending the business semantic information, enabling the portlet structure to have continuous updating capability as a knowledge base through adding parameters of the service type, the attribute information, the individual information and the like in the portlet structure, having easy expansibility, being capable of adapting to the requirement of a portal technology on high-speed development, having low coupling performance, being quite low in dependence among all the modules, between all the interfaces and among the modules, the interfaces and a whole, being capable of realizing some module or interface at any time by using a novel technology, and having no any influence on the structure.

The invention discloses an electricity quantity and electricity charge acquisition method. The method includes the steps that a structural table model for calculating the electricity charge is established, wherein the structural table model is composed of a one-dimensional array L (a), a one-dimensional array H (b) and a two-dimensional array D (a, b), wherein a represents the item name of electricity charge calculation, and b represents the data name of electricity charge calculation; elements in the array L (a) and the one-dimensional array H (b) are assigned with values; electricity charge settlement bill content and data are output according to the structural table model, and an electricity charge settlement bill is formed. By means of the method, the efficiency of acquiring the electricity quantity and the electricity charge is improved, and electricity charge calculation meeting various calculation methods is achieved.