34results 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 discloses a network element equipment accessing method based on automatic template configuration. The method comprises the following steps: firstly analyzing an XML message sent by a total system or imported data to generate task, basic information and topology information, and judging whether is manual or automatic processing through task type, and then selecting all templates needing to be configured at present according to the task type, the current state in the information, the equipment type and the service type; if the new service is existent or the configuration service ischanged, newly adding or modifying the template to adapt the change through configuration staff, and then transmitting the actual parameter, the formal parameter and the template to a Freemarker template engine by using the Java reflection mechanism, instantiating the template as the script, calling the Commandline execution script to realize the remote interaction of the equipment through the Telnet, and then judging an operation of the next stage after obtaining the configuration result until to completely and successfully configure. The method disclosed by the invention has obvious effecton the flexible configuration aspect of the new network element equipment accessing.

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 provides an intelligent grammatical analysis method based on case semantics. The intelligent grammatical analysis method based on the case semantics technically includes steps: completely dividing language instruction input into minimum information units and using a case grammar framework and case markers to further optimally process a word segmentation result of a statement to be divided on the basis of performing regularization processing on two way maximum word segmentation according to semantics. The intelligent grammatical analysis method based on the case semantics greatly improves word segmentation accuracy, and simultaneously guarantees high efficiency of the word segmentation, and prevents defects of ambiguity judgment under a context.

The invention discloses a background service progress unit, a seat system and a calling control method thereof. The background service progress unit comprises a protocol stack module, a state machine module and a service access interface module. The seat system comprises a browser and the background service progress unit. The method comprises the following steps: sending an operation request of a customer representative to the background service progress unit by the browser through an operation page; judging whether the requested operation can be executed currently or not by the background service progress unit, if so, sending the operation request to a CTI server; transmitting the received operation request to an automatic calling distributor to execute the operation by the CTI server, and after the operation is executed, transmitting a notification message of finishing the operation to the background service progress unit; and switching seat states by the background service progress unit according to the notification message of finishing the operation. The invention ensures that the customer representative can log in the CTI server and treat callings through an ordinary computer host.

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 discloses a machine translation method and a machine translation system. A user can correctly (without causing any lexical ambiguity) translate a mother language into any foreign language that the user does not understand completely. The machine translation method comprises the following two steps of: formalizing a non-formal source language in an interactive or automatic way; and converting the formalized source language into a formal target language or a non-formal target language in an automatic way. The machine translation system comprises a source language formalizing module acting in the interactive or automatic way and a formal or non-formal target language converting module acting in the automatic way. The source language formalizing module is independent of the target language converting module, so the system is easy to expand. The formalization of the source language is a common basis for translating the source language into various target languages, so the system is particularly suitable for one-to-many machine translation.

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 rear-end interface testing method and system based on a Linux cloud platform. The method comprises the steps that S1, a testing tool is integrated in the Linux cloud platform; s2, designing a functional process capable of traversing a functional interface of the Linux cloud platform component, and designing a test script according to the functional process; step S3, executing the test script; and S4, acquiring execution data of the test script, and sorting and analyzing the execution data. The technical scheme of the invention has the following advantages: the time cost is optimized, and each interface does not need to be tested one by one; the process is comprehensive and can cover most interfaces of common components; and the test content can be changed at any time according to the test requirements.

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 method for storing and managing massive spatial information data, comprising the steps of: establishing a distributed file system in a master-slave mode, and a storage management node located under the distributed file system for managing the entire life cycle of spatial information data; Under the command control of the management node, the file data is stored in a distributed manner with the file block as the basic unit. It is a distributed storage cluster formed by several data storage nodes and can be horizontally and smoothly expanded. The data storage nodes adopt a distributed storage strategy. The storage strategy is implemented based on the hash modulo algorithm. The invention solves the problem that the existing storage management method cannot effectively store and manage the spatial information data with the characteristics of massive, multi-source, heterogeneous and the like.

The invention discloses a preparation method of a nano-cellulose aerogel protective mask, which comprises the following steps: S1, adhering or coating first nano-fiber aerogel inside the surface layer of the mask, and adhering or coating a first water swelling material on one side of the first nano-fiber aerogel; the surface of the inner layer is coated with second nanofiber aerogel; the first water swelling material can absorb moisture of breathed gas or salt-containing solution; s2, a second water swelling material adheres to or coats the circumferential direction of the first nanofiber aerogel or the second nanofiber aerogel, and the second water swelling material forms an annular structure; and S3, compounding the surface layer and the inner layer of the mask. According to the mask, natural antibacterial fibrilia fabric serves as a surface layer and an inner layer, double-layer nanocellulose aerogel serves as a core layer, the KN95 protective mask is formed, and the mask achieves the antibacterial and hydrophobic effects by means of the efficient filtering and air permeability effects of a nanocellulose aerogel multi-stage pore structure.

The invention provides an energy storage management system and a method based on a B / S architecture, a terminal and a storage medium. The invention discloses an energy storage management system basedon a B / S architecture, and aims to construct an energy storage management scheme based on the B / S architecture, and the energy storage management system based on the B / S architecture pays more attention to data processing and intelligent management, and has very good performance in data processing, distributed management and control and intelligent management. The advantage of cross-platform support is achieved, and the function range of the energy storage system can be greatly expanded; in addition, the B / S architecture has the advantages of being easy to distribute, good in expansibility, easy to maintain and the like, and has an excellent development prospect in application of an EMS system.

The invention discloses an installation configuration method and device for installing an operating system, an installation method and device for installing the operating system, a configuration server system for installing the operating system, a computer storage medium and electronic device.The configuration method comprises the steps of obtaining function meta-information of an installation application service, wherein the function meta-information comprises function structure information used for describing application service functions needing to be configured when the operating system is installed, and the installed application service provides an installed configuration file template used for installing the operating system; generating a configuration form of the installation configuration file template according to the function meta-information; and according to the configuration form, configuring the configuration file for installing the installation configuration file template of the operating system, so that the related installation operation of the operating system can be automatically completed according to the configuration file, and the configuration operation of the configuration file of the installation configuration file template is simpler.

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.

The invention discloses a PDU device in a data computer room and a control method thereof. The device includes a switchboard and extension devices that communicate wirelessly with the switchboard and belong to each data computer room. Each extension device includes a single-chip microcomputer and a data acquisition system connected to the single-chip computer. Humidity sensor, overvoltage protection device, information misreporting device, wireless transmission module and local memory, the data acquisition system collects and obtains the current current, voltage, temperature and humidity data and encrypts the collected data by the single-chip microcomputer, and the single-chip microcomputer encrypts the collected data through the wireless transmission module Then send it to the switchboard, the switchboard receives and processes the collected data and stores it in the general database connected to the switchboard. The local storage is used for temporary storage of collected data when the device fails, and the switchboard is used for overall monitoring and data analysis. The invention facilitates the expansion of the PDU and is simple, and the data is transmitted after being encrypted by an encryption algorithm, thereby improving the safety and convenience of the PDU product.

The invention discloses a multi-channel small broadband receiver, comprising: a signal processor, a small broadband antenna group and a broadband radio frequency receiving front end group; the broadband radio frequency receiving front end group is located between the small broadband antenna group and the signal processor The small broadband antenna in the small broadband antenna group is connected to the broadband radio frequency receiving front end in the broadband radio frequency receiving front end group in a one-to-one correspondence; the small broadband antenna group is used to receive broadband microwave signals in the space; The broadband radio frequency receiving front-end group amplifies, filters, and down-mixes the broadband microwave signal to an intermediate frequency signal and then sends it to the signal processor; the signal processor is used to perform analog-to-digital conversion on the intermediate frequency signal and convert it into Digital signal processing after digital signal. The present invention can greatly reduce the volume of the existing system under the condition that the functions remain unchanged.

The invention provides a server evidence-obtaining method based on virtual machine introspection. Internal information and a state of a virtual machine are quickly analyzed on the premise of ensuringthe privacy of a cloud tenant; and when the virtual machine of the tenant is damaged, the accuracy and quickness demands of a cloud computing platform on evidence-obtaining analysis of the virtual machine of the tenant can be met. The method assists in fast and reliable evidence-obtaining of the virtual machine in a server under a virtual environment background of the cloud computing platform; when a cloud service user realizes that the own virtual machine is abnormal, a cloud service provider is notified, and the requirements of evidence-obtaining analysis are proposed.