186 results about "Dynamic capacity" patented technology

Methods, systems, computer program products, and methods of doing business by using dynamic capacity-on-demand techniques for re-routing traffic in a distributed computing network. When demand on an enterprise's resources exceeds some predetermined level, dynamic modifications cause static content (such as images) to be served from resources which are external to the enterprise, such as a caching system which is located close to the enterprise's end users. When demand falls below the predetermined level, the modifications are effectively reversed, such that the external resources are no longer used. The predetermined level may apply to a single monitored device, or to a group of monitored devices. The dynamic capacity-on-demand techniques may also be used for dynamic types of content, such as for dynamically re-routing access to an application program executing on an external resource, and may be used for internal capacity-on-demand as well.

Methods and systems for determining paths for flows within a multi-stage network made up of clusters of processing nodes. The flow paths may be determined without knowledge of whether or not packets of a particular flow will actually traverse specific ones of the clusters within the multi-stage network. In various implementations, the nodes of the multi-stage network may be coupled to one or more physical network switches through respective physical interfaces and a virtual connectivity grid superimposed thereon and configured through the use of a flow routing framework and system management framework to group the nodes into a number of clusters. The nodes of each cluster are configured to perform similar packet processing functions and the clusters are interconnected through virtual networks to which the nodes are communicatively coupled via virtual interfaces overlaid on top of the physical network interfaces.

Methods and systems for determining paths for flows within a multi-stage network made up of clusters of processing nodes. The flow paths may be determined without knowledge of whether or not packets of a particular flow will actually traverse specific ones of the clusters within the multi-stage network. In various implementations, the nodes of the multi-stage network may be coupled to one or more physical network switches through respective physical interfaces and a virtual connectivity grid superimposed thereon and configured through the use of a flow routing framework and system management framework to group the nodes into a number of clusters. The nodes of each cluster are configured to perform similar packet processing functions and the clusters are interconnected through virtual networks to which the nodes are communicatively coupled via virtual interfaces overlaid on top of the physical network interfaces.

The invention relates to a battery charging device with dynamic capacity-display and charge countdown functions and an application thereof, wherein the device comprises a main controller, a charge control circuit, a voltage collecting module, a current collecting module, a temperature detecting module, a protective circuit module, a working state indicating module, a display module and a power supply converting module used for supplying power to other modules. The main controller is respectively connected with the charge control circuit, the voltage collecting module, the current collecting module, the temperature detecting module, the protective circuit module, the working state indicating module and the display module. The application of the battery charging device is as follows: after being powered and initialized, the main controller dynamically collects parameters of a battery via the voltage collecting module, the current collecting module and the temperature detecting module, calculates the actual capacity of the battery and displays the actual capacity via the display module, and the like. Compared with the prior art, the invention has the advantage of capability of displaying the actual capacity of the battery and the electric quantity charged in the battery, the function of charge countdown estimation, and the like.

The invention discloses a method for obtaining a basic operation volume of a terminal airspace. According to the method, a sector volume is amended by a human kinetic model and machine studying, and the basic operation volume of the terminal airspace can be accurately obtained. The invention also discloses a predicating method for the air dynamic traffic volume in the terminal airspace, and the traffic flow information and analysis for historical weather and predicating weather for the specific terminal airspace are increased, so the obtained volume predicating information of the terminal airspace is more accurate. The invention also discloses a predicating system for the air dynamic traffic volume in the terminal airspace; the system comprises a data collecting module, a data processing module, a control module and a display module; the system is used for realizing the method for obtaining the basic operation volume of the terminal airspace and realizing the predicating method for the air traffic volume in the terminal airspace. According to the predicating system and method for the air dynamic traffic volume in the terminal airspace, the effectiveness and accuracy for establishing a flight schedule of an airline are improved, and a basis is provided for an air traffic control unit to effectively determine the management and control of the air traffic in a pre-tactics stage according to the dynamic volume distribution.

An approximation of the bandwidth of the narrowest link in a network is determined by watching how fast data gets to the other end and then back again. The rate of data transmission is limited according to this approximation. Dynamic capacity of the link, i.e. the amount of data that can be in-flight at the same time, neglecting any buffers, is also tracked. The technique looks at how much data is in-flight and, if there is more data in flight than the dynamic capacity of the network, the data transmission rate is slowed down.

The invention relates to a dynamic capacity increasing method for an oil-immersed transformer, and belongs to the field of transformers. The method includes the steps that heat conduction process in the transformer is simplified into a circuit model; winding hot-spot temperature, top oil temperature, average oil temperature, average winding temperature of the transformer under the current load condition are calculated; according to the limit that the winding hot-spot temperature does not exceed 140 DEG C, whether temperature in the transformer will exceed the limit temperature or not under the current load and environment conditions is calculated, whether a temperature limit value is reached or not if long-term emergency loads or short-term emergency loads occur at the moment is calculated, and if the temperature in the transformer possibly exceeds the limit value of the short-term emergency loads, the time for reaching the limit value and the finally reached steady state temperature are calculated to serve as alarm signals; if it is monitored that the temperature will exceed the standard within t minutes, an early-warning signal is sent out, certain time delay is set, and if the loads are not reduced within the set time delay, a cooling fan of the transformer is turned on. Long-term continuous operation of cooling equipment can be avoided, and operation life of the cooling equipment is prolonged.

The invention discloses a system resource dynamic capacity expanding and shrinking method and device, a computer device and a storage medium which are applied to the technical field of system configuration, and are used for solving the problems that the timeliness of existing system resource scheduling is low and the system stability is reduced. The method provided by the invention comprises the following steps of capturing a system log of a target system in real time, and obtaining current service data of the target system from the system log; obtaining allocated system resources allocated tothe target system by the system resource pool; analyzing the current service data according to a preset service index rule to obtain a current service operation index of the target system; calculating a resource use condition index of the target system according to the service operation index and the distributed system resource; if the resource use condition index is smaller than a preset index lower limit value, performing capacity reduction processing on the target system; and if the resource use condition index is greater than the preset index upper limit value, carrying out capacity expansion processing on the target system, wherein the index upper limit value is greater than the index lower limit value.

The invention discloses an electric vehicle group charging microgrid control method supporting a secure dynamic capacity-increase. The electric vehicle group charging microgrid control method takes a large capacity energy storage array in an Ethernet as a core control object to construct an electric vehicle group charging system, and the specific process is that after a manager submits a charging request, an electric vehicle group charging management module queries the remaining capacity of a network accessed transformer, if the remaining capacity is insufficient, the discharge power of the energy storage array is increased and charging power is reserved for a charging pile to be started; a charging loop is connected or opened after the reservation, the charging is started, and the impacts of quick charging and simultaneous slow charging for a number of vehicles or risks of continuously exceeding the capacity of the transformer are voided; and the charging is stopped when the power of the energy storage array is insufficient. The invention achieves a dynamic capacity-increase by means of the energy storage array, allows the actual charging load to be greater than the capacity of the transformer, delays the capacity-increase reformation of a distribution network in existing places, saves investment in the distribution network in new places, supports safe conventional power utilization and charging requirements, and takes participation in the power grid active adjustment services.

The invention relates to an MES-based production system. A service order of an ERP system is pushed down to an MES system and a main production plan is issued automatically. The MES-based production system is composed of a data center, an MES management subsystem, an MES operation subsystem, and an MES monitoring subsystem. The MES management subsystem is used for invoking an execution process ofa CAPP / PDM system according to the main production plan, evaluating the capacity by combining data of a PM system, and forming a node plan and an operation plan of a production schedule. The MES operation subsystem is used for receiving the node plan and the operation plan that are formed by the MES management subsystem by a station integrated machine to invoke a process work sheet with an NC processing code, and sending an NC processing instruction to processing equipment of all workshops. And the MES monitoring subsystem is used for monitoring plan progress information, equipment state information, quality analysis information and dynamic capacity information of all workshops and feeding back the information to the data center in real time. With the system provided by the invention, dispersed production data information can be combined effectively to realize production coordination and collaboration.

The invention relates to an online temperature monitoring system and a monitoring method for an optical fiber composition phase conductor (OPPC). The monitoring system comprises an OPPC optical cable (1), an optical unit (2), an optical cable connector box (3), an imported optical cable (4), a temperature measurement host (5) and a monitoring computer (6). The OPPC optical cable (1), the optical unit (2), the optical cable connector box (3), the imported optical cable (4) and the temperature measurement host (5) are connected in sequence. The monitoring computer (6) is connected with the temperature measurement host (5). The technical scheme of the online temperature monitoring system and the monitoring method for the OPPC is used to carry out real-time partition monitoring for temperature of an operating OPPC cable and provides accurate temperature data for applications of fault early warning of transmission lines, dynamic capacity increasing, and the like.

The invention relates to individualized mandible prosthesis of titanium alloy and a preparation method, which is applicable to a field of coaptation and repairing after a defect and loss of the mandible caused by injuries or tumors, etc. The individualized mandible prosthesis essentially consists of a substitute of a defected or lost part and connecting and positioning wing spans. The prosthesis is characterized in that the whole mandible of a patient is scanned by a CT or MRI fault scan; after processing the graph and image, soft tissues and hard tissues are separated according to the fault scan graph, thus a three-dimensional reconstruction of the mandible of the patient is realized; according to biological symmetry principle, a model of the unimpaired side of the mandible of the patient is used for a mirror image processing so as to obtain a mandible prosthesis model of the lost side of the mandible of the patient; the data of the prosthesis model are transformed and the connecting and fixing wing spans are designed on the model; a processing order of the model is input into a CNC processing center and the substitute prosthesis of the mandible of the patient is directly cut out. The mandible prosthesis produced by the invention has a good dynamic capacity and biological dynamic characteristics; the problem of an individualized match is directly solved; and the prosthesis is excellently matched with the mandible of the patient.

The invention discloses a distributed pluggable game server platform and a cooperative working method thereof. The platform comprises a connection server cluster comprising at least one connection server, a login server, a central server cluster comprising at least one central server, a lobby server cluster comprising at least one lobby server, and a logic server cluster comprising at least one logic server, wherein the connection server realizes data interaction between a client and the distributed pluggable game server platform; the login server finishes the authentication, checking and login of a user; the central server realizes data routing between the connection server and each of the login server, the lobby server and the logic server; the lobby server performs logic processing on lobby rooms; and the logic server finishes logic game processing by adopting a plug-in technology. In the scheme, dynamic capacity expansion of bearing capacity of a game server can be realized without maintaining the server, and supported game contents can be extended and dynamically updated.

The invention discloses a method for monitoring dynamic capacity-increase Morgan current-carrying capacity of a power transmission line. The method includes the steps: (1) steady-state meteorological data of the power transmission line and conductor steady-state temperature parameters are collected in real time and sent to a monitoring center; (2) the monitoring center computes conductor steady-state current-carrying capacity by the aid of a conductor steady-state current-carrying capacity computational formula according to the steady-state meteorological data and the conductor steady-state temperature parameters obtained in the step (1); and (3) the monitoring center establishes a power transmission line Morgan current-carrying capacity simplified formula according to the conductor steady-state current-carrying capacity computational formula to obtain dynamic capacity-increase Morgan current-carrying capacity of the power transmission line so as to obtain transmission capacity of the power transmission line. A scheduler can refer to the result to regulate the transmission capacity of the power transmission line, the power transmission line is enabled to be in safe operation in a maximum load state, and early warning can be achieved.

A controller (103a, 103b) provides dynamic capacity, for use in connection with a communication network (101). A processor of the controller (103a, 103b) that can be utilized in the communication network can be configured to facilitate determining whether a current load level is below a predetermined low usage, and responsive thereto, adjusts a bearer configuration to allow higher throughput per user. Further, the processor (103a, 103b) can be configured to facilitate determining whether the current load level exceeds a predetermined high usage, and responsive thereto, adjusting the bearer configuration to allow lower throughput per user.

The invention discloses an electric vehicle group charging microgrid control method supporting a secure dynamic capacity-increase. The electric vehicle group charging microgrid control method takes a large capacity energy storage array in an Ethernet as a core control object to construct an electric vehicle group charging system, and the specific process is that after a manager submits a charging request, an electric vehicle group charging management module queries the remaining capacity of a network accessed transformer, if the remaining capacity is insufficient, the discharge power of the energy storage array is increased and charging power is reserved for a charging pile to be started; a charging loop is connected or opened after the reservation, the charging is started, and the impacts of quick charging and simultaneous slow charging for a number of vehicles or risks of continuously exceeding the capacity of the transformer are voided; and the charging is stopped when the power of the energy storage array is insufficient. The invention achieves a dynamic capacity-increase by means of the energy storage array, allows the actual charging load to be greater than the capacity of the transformer, delays the capacity-increase reformation of a distribution network in existing places, saves investment in the distribution network in new places, supports safe conventional power utilization and charging requirements, and takes participation in the power grid active adjustment services.

The invention discloses a delay-guaranteed NFV cloud platform dynamic capacity expanding and shrinking method and system. The method comprises the steps of collecting network configuration information, tenant configuration information and operation logs of an NFV cloud platform; according to the collected network configuration information of the NFV cloud platform, tenant configuration informationand an operation log, predicting a data packet average arrival rate of each tenant in a next time period by utilizing a logarithmic linear Poisson autoregression model to perform flow prediction, andanalyzing data packet average processing delay of each service chain by utilizing a classification Boxson queuing network model based on the data packet average arrival rate of each tenant in the next time period; according to the flow prediction result and the data packet average processing delay of each service chain, carrying out dynamic capacity expansion and shrinkage decision-making of theNFV cloud platform, the decision-making information comprising the deployment number and positions of various virtual network function instances and a flow forwarding rule; and translating the decision information into an instruction, and respectively sending the instruction to an SDN controller and a controller of the NFV cloud platform to execute capacity expansion and shrinkage operation.

The invention discloses a database hosting method and a database hosting platform system. The method comprises the steps of: saving information of all database instances, wherein each database instance comprises a master database and more than one slave databases; monitoring the master database and the slave databases, when the master database fails, selecting one of the slave databases as a new master database, degrading the faulty original master database to a slave database, modifying information of the saved corresponding database instances, and marking the faulty original master databaseas non-liveness; when a slave database fails, modifying information of the saved corresponding database instances, and marking the slave database as non-liveness; and receiving a database resource request sent by an application program, and returning the information of the requested database resource to the application program according to the information of the saved database instances. According to the technical scheme of the invention, the development of the application program can be simplified, and dynamic capacity expansion can be realized under the sudden increase of reading services.

The invention discloses a dynamic capacity increasing monitoring system and method for a power transmission line. The method comprises the steps of carrying out real-time monitoring on the power transmission line, acquiring monitoring data to calculate the safe operation current capacity of the power transmission line, judging whether capacity increasing can be carried out on the power transmission line according to the safe operation current capacity, and if yes, extracting preset capacity increasing information to carry out capacity increasing on the power transmission line; in the process of capacity increasing of the power transmission line, calculating the conductor sag data of the power transmission line according to the monitoring data, and sending the monitoring data and the conductor sag data to an application terminal to display the data. Data acquisition and data monitoring can be carried out on the power transmission line in real time, real-time monitoring is carried out on the conductor sag data of the power transmission line in the process of capacity increasing, the influence on safe operation of the power transmission line from various key factors is comprehensively considered, and therefore the safety is improved.

The invention discloses a control method for an electromobile group-charging microgrid simultaneously serving as an emergency power supply. According to the control method, an electromobile group-charging system mainly serving for large-scaled slow charging is built by taking a high-capacity energy storage array as a core control object. The control method comprises the following steps of inserting a vehicle-mounted AC charging head into an intelligent charging socket by a charging user, and inputting account information to the system through a connected information terminal; leading the socket to be connected so as to start a charging process by an electromobile group-charging management module when an account is valid and the total charging capacity does not exceed the designed capacity; and maintaining the power of a network accessed transformer within a given range by a power adjustment module through charging and discharging control on the energy storage array, wherein different energy storage battery levels and different power grid supply states are in correspondence to different ranges of charging interruption. By the control method, charging sockets installed for 100% parking spaces in a region are supported, the requirement of safe and reliable charging under charging simultaneity characteristic and dynamic capacity increase is met, meanwhile, the outage of a user is delayed when a power grid is cut off, and the long-term emergency power supply capability is provided.

According to the online application dynamic capacity expansion and shrinkage method based on the micro-service call dependence perception, an MAPE mode is adopted, and the whole system is divided intofour parts including a monitoring module, an analysis module, a planning module and an execution module; the monitoring module first reads operation data; the operation data comprises cluster resource use data and service call related data, the analysis module finds and selects an object to be subjected to capacity expansion or capacity reduction, the planning module calculates the number of containers needing capacity expansion or capacity reduction, and finally the execution module adjusts the number of copies in a specified container set to achieve micro-service level capacity expansion orcapacity reduction. The system can analyze the micro-service capability based on the calling dependency relationship and the application delay between the micro-services by analyzing the calling dependency relationship and the delay between the micro-services, comparing the calling dependency relationship and the delay with historical data, calculating and judging the current micro-service running state and the service capability when the request flow is changed, and performing capacity expansion and shrinkage on the specified micro-service; the resource utilization rate is improved while theservice quality is guaranteed.

The invention relates to a power transmission lead wire temperature detection method, a power transmission lead wire maximum current carrying capacity detection method and a system thereof. Temperature values of different layers of an overhead power transmission lead wire can be accurately obtained under different current carrying capacities and meteorological conditions by detecting and calculating difference of the radial temperature of the overhead power transmission lead wire; the stability of safe operation of a power transmission line can be improved, the current carrying capacity of an overhead power transmission line is improved and the transmission capability of the overhead power transmission line is improved; the dynamic capacity increase of the power transmission lead wire can be achieved; in addition, an extra temperature measuring device does not need to be mounted on the power transmission line; the temperature of the whole power transmission lead wire can be monitored; the monitoring equipment investment is greatly reduced.

A dynamic capacity management policy for multi-paralleled computing resources (e.g., application servers, virtual application servers, etc.) that includes one or more of a state-change component, a load-balancing component, and a robustness-control component. The state-change component delays the release (e.g., powering down of a physical server, removal from a virtual-server lease, etc.) of each computing resource for a set amount of time. The load-balancing component can work in conjunction with the state-change component to reduce the number of idle computing resources by distributing incoming requests in a manner that keeps the already-processing computing resources as full of requests as possible. The robustness-control component scales capacity as a function of the current number of requests within the system of computing resources to account for variations other than request rate, such as request size, reduced processor frequency, network slowdowns, etc., that affect processing capacity.

The invention discloses a Redis clustering method based on ZooKeeper. According to the method, the ZooKeeper is taken as consistency middleware to maintain data fragmentation information of a distributed Redis cluster, and a client acquires the data fragmentation information of the Redis cluster through the ZooKeeper and establishes a routing algorithm, so that the Redis client and a server can directly communicate without an agent layer, and the capabilities of dynamic capacity expansion and retraction and automatic data migration of the Redis cluster are achieved. Meanwhile, the method is combined with Redis-Sentinel and the ZooKeeper to achieve automatic transfer ability of cluster faults, and high availability of the Redis cluster is guaranteed. According to the method, the extra network expenditure brought by the agent layer of the Redis cluster is reduced, the performance of the Redis cluster is improved, and meanwhile, the expansion capability, the automatic data migration capability and the usability of the Redis cluster are ensured.

The invention provides an online prediction method of electric transmission line dynamic capacity. The online prediction method of the electric transmission line dynamic capacity comprises: establishing a first radial-basis function (RBF) neural network, and predicting a first input parameter online to obtain a first numerical prediction; establishing a second RBF neural network, and predicting a second input parameter online to obtain a second numerical prediction; obtaining conducting wire temperature data and real time current; and predicting the dynamic capacity of an electric transmission line online through the first numerical prediction and the second numerical prediction, the conducting wire temperature data and the real time current according to the institute of electrical and electronic engineers (IEEE) 738 standard. The online prediction method of the electric transmission line dynamic capacity is suitable for online learning and prediction which are provided with different capacities in different seasons on the condition that the prior configuration parameters are not required to be changed. Further, the online prediction method of the electric transmission line dynamic capacity provides precious future short-term line capacity prediction information for dispatchers, offers an effective control means for intelligent scheduling of the power grid under the conditions of power shortage, load peak period, accident short-time overload operation, wind power access and the like, and plays an active role in improving the safety and the economical efficiency of an electric power system.

The invention relates to a method for predicting the dynamic volume of a sector area and adopts a dynamic volume predicating method to predict the volume of the sector area. The method comprises: firstly, predicating the dynamic density of the controlled sector in the future 30 min according to the tracking information and the related data; secondly, computing and recording the number of aircrafts in the controlled sector areas in 15 time intervals; thirdly, matching the dynamic density of the sector area and the number of the aircrafts in each time interval one by one and performing regression analysis on the computed points to further determine the relationship between the dynamic density of the sector area and the number of the aircrafts in each time interval; and finally, predicting the tread of a fitted curve. When the method is adopted to measure the volume of the sector area, the individual difference of controllers have little influence on the accuracy, data are easily acquired, the data flow is small, the computer network technical platform is adopted for support, no extra capita is required, and the evaluation is simple and accurate.

A piezoelectric actuator 1 includes a piezoelectric element 2, which has a pair of electrodes formed on the surface of a piezoelectric ceramic member, as a drive source. The piezoelectric actuator 1 satisfies at least one of the following requirements (a) to (c): (a) the variation width WC in an apparent dynamic capacity C [F] due to a change in temperature should fall within ±11% over a specific temperature range from −30° C. to 80° C.; (b) the variation width WL in a displacement L [μm] due to a change in temperature should fall within ±14% over the specific temperature range from −30° C. to 80° C.; and (c) the variation width WL / C in a quotient L / C due to a change in temperature should fall within ±12% over the specific temperature range from −30° C. to 80° C., wherein C [F] denotes the apparent dynamic capacity and L [μm] denotes the displacement.

Methods and system are disclosed for planning and optimizing plans of a value chain in response to events and exceptions in the value chain with minimal perturbations to the existing plan. When an event or an exception occurs, potential solutions are constructed and evaluated. The potential solutions respect the business process constraints and temporal constraints on transactions, and the true dynamic capacity constraints in the value chain. The impact of the potential solutions on finance and on the existing plan is evaluated. The solution with maximum profit and minimum perturbation to the existing plan is selected and executed. Techniques of achieving the above goals are described.

The invention provides a queuing appointment method and system based on window acceptance dynamic capacity. The method comprises the steps of obtaining appointment requests of users; obtaining appointment information of the users according to the appointment requests of the users; obtaining field queuing flow of an acceptance hall in a current time period, through combination of the appointment information of the users, carrying out queuing appointment through an appointment dynamic adjusting method, generating appointment numbers and appointment order short message information, synchronizing the appointment information of the users to an online Internet hall and an offline queuing and calling system of the acceptance hall; obtaining service processing requests of the users in the acceptance hall according to the appointment numbers; and carrying out identity check according to the service processing requests, and after the check is carried out, processing the appointment sequences of the field queuing and Internet appointment queuing of the acceptance hall according to an appointment queuing rule, thereby finishing the service processing corresponding to the service processing requests. According to the method and the system, the online and offline integration of Internet appointment service is realized, the appointment queuing acceptance efficiency is optimized, the appointment queuing is managed orderly, and a guide and distribution purpose is realized.

The invention discloses an online temperature measuring method for an overhead wire. The online temperature measuring method includes steps of 1, monitoring a temperature value of the overhead conducting wire and a temperature value of a shell of online temperature measuring equipment; and 2, substituting the monitored temperature value of the overhead conducting wire and the monitored temperature value of the shell of the online temperature measuring equipment into a dynamic capacity-increasing heat circuit model to acquire real-time permissible maximum carrying capacity of a circuit, namely maximum capacity-increasing space. The online temperature measuring method has the advantages of high accuracy of measurement results obtained in low-latitude regions or regions with strong summer sunlight or in periods with strong summer sunlight, and the like.