92results about How to "Reduce dispatch time" patented technology

The invention relates to a resource scheduling method based on kubernetes. The method comprises steps of calculating all Node scores in the cluster according to a fixed rule to generate a first node priority queue, and obtaining a Pod priority queue by using a dynamic priority algorithm, wherein the two queues filter Node which cannot be scheduled to generate a second node priority queue; selecting the node with the highest priority from the Pod priority queues to bind with the Pod popped by the Pod priority queues; and if the binding succeeds, entering the next Pod scheduling cycle, if the binding fails, adopting a built-in priority algorithm to optimize Node binding from the second node priority queue, and if the binding fails again, enabling the Pod to run without an appropriate Node, and entering the next Pod scheduling cycle. The method comprises the steps of static scheduling and dynamic resource load balancing, scheduling efficiency is improved, task deployment efficiency is improved, task operation integrity and load balance of the whole cluster are improved, load balance of the cluster is actively adjusted, and resource utilization efficiency of the cluster is improved.

The invention provides a virtual machine migration method and a virtual machine migration device, wherein the method comprises the following steps that a virtual machine migration task on each server in a network is determined, the virtual machine migration task comprises a mark of a virtual machine to be migrated, a mark of a source server, a mark of a target server and the delay time for migrating the virtual machine to be migrated from the source server to the target server, the migration sequence of the virtual machine to be migrated is determined according to the mark of the virtual machine to be migrated, the mark of the source server, the mark of the target server and the delay time for migrating the virtual machine to be migrated from the source server to the target server, the migration path is determined according to the migration sequence of each virtual machine to be migrated, each migration path comprises at least two virtual machine migration tasks with the successive migration sequences, and at the first set time, the migration transmission bandwidth increase and / or dirty page generation speed reduction is carried out on the migrating virtual machines in the migration path with the maximum virtual machine migration task delay time sum.

The embodiment of the invention provides a method, a device and a system for carrying out uplink pre-scheduling processing. The method comprises the following steps of: acquiring service attribute information of user equipment, wherein the service attribute information is used for judging whether the user equipment possibly sends burst uplink data or not; and if the condition that the user equipment possibly sends the burst uplink data is determined according to the service attribute information, carrying out uplink pre-scheduling processing on the user equipment. Compared with the prior art that the scheduling of the burst uplink data can be completed only through 8 transmission time intervals (TTIs), the embodiment of the invention has the characteristics of shortening the time of scheduling the burst uplink data and can meet higher time delay requirements and higher quality of service (QoS) requirements.

The invention discloses a multi-AGV scheduling method based on petri network decomposition. The method comprises the following steps: step 1, converting a warehouse topological graph into a collision-free petri network model; decomposing the whole petri network model into sub-networks according to the drivable route of the single AGV; step 2, adopting a Dijkstra algorithm to realize global shortest path planning of the single AGV, and further adjusting the obtained algorithm according to the actual motion condition of the vehicle; step 3, establishing a target function; step 4, taking a staticshortest path obtained by a single AGV in each sub-network as a basis; using an external point penalty function method to carry out path iteration, obtaining collision and deadlock problems existingin the operation process of multiple AGVs, analyzing and locally optimizing the types of collision and deadlock, locally optimizing the path by taking time optimization as a principle, and generatingan optimal collision-free scheduling scheme. The method is high in operation efficiency, high in reaction speed and high in adaptability.

The invention discloses a resource scheduling method, device and system, and belongs to the field of computers. The method comprises the steps of obtaining first load parameters of a cluster at the first time point and second load parameters of the cluster at the second time point, predicting load values of the cluster at the third time point according to the first load parameters and the second load parameters, wherein the third time point is a time point after the current time point, determining a scheduling policy according to the load values at the third time point, and carrying out resource scheduling according to the scheduling policy. The resource scheduling method shortens cluster resource scheduling time and improves efficiency.

The invention discloses an agile satellite task parallel scheduling method based on data driving. The method comprises the steps of 1, obtaining agile imaging satellite historical task scheduling dataand a to-be-allocated task set; 2, training a task prediction model based on a deep learning algorithm, and predicting the scheduling probability of each to-be-allocated task; 3, according to a probability prediction result, allocating each task to the satellite with the maximum scheduling probability, and converting a large-scale satellite task scheduling problem into a plurality of parallel single-satellite scheduling problems; 4, solving; and 5, outputting the agile imaging satellite task scheduling sequence of each task to be distributed. The task scheduling probability prediction model is obtained through the machine learning algorithm, each task is allocated to the satellite with the maximum scheduling probability for execution, the complex problem is simplified, the task schedulingtime is shortened from the hour level to the minute level, and the scheduling efficiency of large-scale agile imaging satellite tasks is effectively improved.

The invention discloses a permanent-magnet motor assembling production line, comprising a stator assembling section, a rotor assembling section and a final assembling section. A stator assembling transmission line of the stator assembling section is sequentially provided with a stator paper inserting machine, a coil inserting and expanding integrated machine, a stator putting-in-line buffer table,a coil shaping table, a first paint stripping table, a star point extruding table, a binding table, a final shaping table, a paint dipping table, a sampling table, a stator air cooling channel, a second paint stripping table and a stator transferring preparation table along the way; The rotor assembling section comprises a rotor assembling transmission line, and the rotor assembling transmissionline is sequentially provided with an automatic magnetic steel inserting and glue dripping integrated machine, a drying machine, a rotating shaft feeding machine, a rotor putting-in-line buffer table,a nut pre-tightening table, an automatic screw cap screwing machine, a screw rod dismounting table , a dynamic balance adjusting table, a first bearing pressing machine, an automatic rotating table,a second bearing pressing machine, a rear end cover pressing table and a rotor transferring preparation table along the way. The permanent-magnet motor assembling production line has the advantages ofintegration and human-machine interaction, saving manpower and reducing costs.

The invention provides a vehicle scheduling management system based on an instant short message platform. The vehicle scheduling management system comprises an archive management module, a system management module, a vehicle using management module, an information inquiry module and the instant short message platform; the archive management module comprises a vehicle archive management sub-module and a driver archive management sub-module; the system management module comprises a department management sub-module, an authority management sub-module and a user management sub-module; the vehicle using module comprises a vehicle using application sub-module, a department checking sub-module, a leader approving sub-module, a vehicle dispatching management sub-module, a return registering sub-module, a post-register sub-module and a driving accompanying registering sub-module; the information inquiry module comprises a vehicle state inquiry sub-module and a vehicle dispatching condition inquiry sub-module; the instant short message platform provides a short message reminding service and a short message checking service. By means of the vehicle scheduling management system based on the instant short message platform, the problem that when a leader is not on site, a vehicle using application cannot be approved is solved.

The invention discloses a method for dynamic management of colony terminal automatic grouping members. The method comprises: a colony terminal edits and operates the automatic grouping members which are in the process of calling, and then exchange member information with a system side, and determines and saves the member information; the system performs authority assignment and registration for the automatic grouping members and transmits instant authority update messages to the corresponding terminal; and the terminal calls access and calls continuation. The invention also discloses a system for dynamic management of colony terminal automatic grouping members. According to the invention, by utilizing the grouping member information and system real-time communication characteristics, not only can the dynamic management of automatic grouping members be realized, and the operations such as dynamic adding, deletion, and editing can be carried out, but also the edited members can be added in the calling instantly, the current calling is valid instantly, the scheduling time is saved, and the scheduling efficiency is improved.

The invention discloses an intelligent routing method for computer network links, comprising the following steps of: intercepting a message for requesting outside access by a smart link selector, and if the message is a new assess request message, searching a main Hash table according to the target address of the massage; if the main Hash table includes the target address, marking a link corresponding to the target address and transmitting data according to the information of a link interface corresponding to the mark; if the Hash table does not include the target address, putting the target address into a pool for addresses to be found by the smart link selector, searching the pool for addresses to be found by a search processor, firstly performing static routing to rapidly obtain a primary routing result, and providing the primary routing result to the smart link selector for use; and then amending the static routing result according to dynamic routing, updating the main Hash table,marling the link according to the routing result and transmitting the data. The routing method for computer network links has the advantages of high dispatching speed, high accuracy and low consumption for system resources.

The invention provides a method and device for scheduling the disaster recovery, operation and maintenance, monitoring and emergency start-stop of application systems. The method comprises the following steps: when needing to schedule a first application system, extracting at least one operation step corresponding to an identifier of the first application system from a basic operation flow sheet according to the identifier of the first application system, and combining the at least one operation step to obtain an operation flow corresponding to the first application system; obtaining an operation object configuration information sheet corresponding to the first application system; establishing the incidence relation between the operation step in the operation flow and the operation objects in the operation object configuration information sheet according to names of the operation objects; and generating operation scripts and sending the operation scripts to corresponding operation objects to execute according to configuration information of the operation step in the operation flow and corresponding operation objects, and determining emergency operations according to the execution state. According to the method and device provided by the invention, the automatic switching of disaster recovery, high-availability active operation and maintenance, active monitoring and emergency start-stop can be realized, so that the scheduling time is saved and the scheduling correctness and efficiency are improved.

The invention relates to an automatic discovery method and system for optical cable routers. The automatic discovery method for the optical cable router comprises the steps that a light source light power meter conducts automatic monitoring on attenuation values of optical cable fiber cores, wherein the optical cable fiber cores are arranged in the optical cable routers; when the situation that the power meter gives an alarm happens, the light power alarm grade is determined, and the alarm states of the optical cable routers are fed back in real time; a driver automatically searches for the available optical cable routers, and available optical cable router choices are provided for real-time deployment of services. According to the automatic discovery method and system for the optical cable routers, all the services and information of the optical cable routers used by the services in the system are managed, and the optical cable fiber cores in the system are monitored in real time; compared with an ordinary optical cable monitoring system, the automatic discovery system has the advantages that the functions that data monitored in real time are analyzed, and the optical cable routers are automatically searched are added, the intelligent deployment function based on the optical cable real-time monitoring data is fulfilled, the availability of the system is greatly improved, the deployment time of the system is shortened, and the powerful guarantee is provided for the recovery capacity of the system.

A scheduling method for a substrate treating apparatus having a plurality of treating units for treating substrates, wherein, based on a procedure including a plurality of treating steps, a controller determines an order of treating a plurality of lots successively in the treating units. The method includes a step of preparing a plurality of schedules through execution of a basic allocating method, based on a systematic chart representing combinations of the treating steps for the respective lots, for allocating a first treating step of one of the lots, and thereafter, while following the systematic chart from the treating step, for searching and allocating as a next treating step a treating step selected from among succeeding treating steps in the lots, whose preceding treating step has an earliest expected completion time of all preceding treating steps; and a first allocating method for allocating treating steps based on the basic allocating method, and when a waiting time occurring with one of the treating steps exceeds an allowed time for enabling a standby at one of the treating units, for avoiding allocation of the one of the treating steps and restarting a search at one branching point before a branching point upstream of the one of said treating steps. The method further includes a step of selecting one schedule having been completed within a specified time, from the plurality of schedules prepared.

The invention discloses a logistics distribution path optimization method, a storage medium and computer equipment, and relates to the technical field of logistics distribution. The method is used based on a TMS system and comprises the steps: screening waybill data from a waybill pool of the TMS system; reflecting the longitude and latitude coordinate points of the shipping place and the longitude and latitude coordinate points of the delivery destination in the waybill data on a map; calculating the distance between the delivery destination and the delivery place; finding out a delivery destination with the largest distance; and calculating the distances between other delivery destinations and the farthest delivery destination, drawing a circle by taking the farthest delivery destinationas the center of the circle and R as the radius, adding other delivery destinations falling into the circle into the delivery train number, and obtaining the loading capacity according to the added delivery destination so as to determine the delivery train type. According to the method, the vehicle path scheduling is reasonably planned through the computer according to the set rule, the scheduling rationality can be improved, the distribution path can be reasonably planned, and the transportation cost can be reduced.

The invention discloses a distributed storage system and a node monitoring method, device and node thereof. An etcd system is arranged at each node. On the basis, when a distributed storage system selects a target node for providing iSCSI service to the outside, the etcd system can create a target key value at the target node, and the target key value comprises a floating IP of the distributed storage system and a real IP of the target node. In addition, the etcd system can delete the target key value when the target node breaks down and generate a fault signal, so that the target node is reelected. Visibly, the high availability of the distributed storage system is realized by utilizing the key value pair storage and key value pair monitoring functions of the etcd, and the network pressure between clusters is greatly reduced as only one node needs to be provided with the floating IP. Moreover, due to the rapidity of the etcd monitoring notification, the floating IP node is scheduled by using the etcd, so that the node scheduling time is greatly shortened.

The invention discloses a steelmaking and continuous casting scheduling method based on an artificial bee colony (ABC). The method remains a framework of the ABC (comprising an employed bee phase, an observation bee phase and a scouter bee phase), and is improved by combining a JADE algorithm. At the employed bee phase, a search strategy of the JADE is used for updating individuals in one population, and the diversity of the population can be increased by adopting an external archiving mechanism of the JADE; at the observation bee phase, updating operation of differential solution, and archiving composed of the current population is increased on the basis of a previous search strategy of the ABC; and at the scouter bee phase, the previous search strategy of the ABC at the phase is adopted. With the adoption of the method, the convergence of the population is accelerated under the condition of guaranteeing the diversity of the population, and an ideal scheduling result can be generated in relatively short time, so that the aims that the waiting time of workpieces in a steelmaking and continuous casting process and the machining cost is reduced are realized.

The invention provides a scheduling method, a system and equipment of spatial data. The scheduling method comprises the steps that spatial clustering is carried out on the spatial data of a random-access memory, minimum bounding boxes are respectively calculated for each classification, each minimum bounding box is divided into a plurality of blocks of preset sizes, data access frequencies of each block are counted, the blocks in the same minimum bounding box are sorted, download sequence of each block in the same minimum bounding box is confirmed, when a cache region does not store the spatial data needing to be scheduled, all the spatial data in the block to which the spatial data needing to be scheduled belong are downloaded firstly, then the spatial data in the other blocks in each minimum bounding box to which the spatial data needing to be scheduled belong are downloaded according to the download sequence, and then the downloaded spatial data are stored into the cache region. According to the scheduling method, the system and the equipment of the spatial data, range of influence of the cache data can be confirmed efficiently and reasonably, scheduling time of the spatial data is shortened, and efficiency of system execution is improved.

The invention discloses a dual-reference station type GNSS (Global Navigation Satellite System) control network measurement method. The method includes the following steps that: S1, two known control points that are furthest away from each other are selected from all control points in a measured control network as reference station points, and all the control points except the reference station points are called non-reference station points, and non-reference station points located between the two adjacent reference station points are affiliated to one measurement section; and S2, two GNSS receivers are adopted as reference station receivers, and all GNSS receivers except the reference station receivers are called mobile receivers, so that the measurement sections of the measured control network can be measured one by one until all the measurement sections of the measured control network are completely measured, and when any one of the measurement sections is measured, all the GNSS receivers measure the measurement section according to a plurality of time periods until all the non-reference station points of the measurement section are measured completely. With the method of the invention adopted, the measurement efficiency and maneuverability of the control network can be improved with measurement reliability ensured.

The invention relates to a power distribution method and system for an electrochemical energy storage power station. The method comprises the following steps: when the power quantity required by powergrid dispatching is less than the sum of rated capacities of all electrochemical energy storage power stations, determining technical evaluation indexes of the electrochemical energy storage power stations according to the acquired power grid dispatching instruction information and the operation statistical information of the electrochemical energy storage power stations, and determining power distributed to each electrochemical energy storage power station by utilizing comprehensive evaluation coefficients of the electrochemical energy storage power stations participating in power grid dispatching; when the power grid dispatching demand power quantity is greater than or equal to the sum of the rated capacities of all the electrochemical energy storage power stations, determining the distributed power of the electrochemical energy storage power stations by utilizing the power grid dispatching demand power quantity. According to the technical scheme, the power distribution algorithm ofthe electrochemical energy storage power station is corrected by updating the evaluation coefficient in a rolling mode, the rationality of power distribution of the power grid dispatching electrochemical energy storage power station is improved; meanwhile, an operator is effectively guided to dispatch decisions of the electrochemical energy storage power station, and the stable operation of a power grid is promoted.

The invention discloses a space-based maritime search and rescue information fusion processing device and a processing method. The device is arranged on a satellite-borne platform and comprises a processor, a search and rescue signal receiver, an AIS receiver and a memory. The processor is respectively connected with the search and rescue signal receiver, the AIS receiver and the memory. The search and rescue signal receiver is used for receiving and analyzing a search and rescue position indicating signal sent by the maritime search and rescue object and sending an analysis result of the search and rescue position indicating signal to the processor. The AIS receiver is used for receiving an AIS message of the offshore ship and sending the AIS message to the processor. A ship database containing marine ship information is stored in the memory, and the processor is used for carrying out fusion processing on the analysis result, the AIS message and the ship database so as to identify theoffshore ship meeting the set condition. According to the processing device and the processing method, the offshore ship meeting the search and rescue requirements can be directly extracted on a satellite in real time, the search and rescue scheme and the determination and scheduling time of the search and rescue strength are effectively shortened, and timely rescue is guaranteed.

The invention discloses a monitoring center cooperative work subsystem based on Geographic Information System (GIS) and a working method thereof. The subsystem includes: a supervising data wireless acquisition device, an application layer, a service layer and a storage layer. The method includes: the application layer comparing case information received with data in the storage layer, assessing whether the case information has already been recorded, if yes, merging the case information received and the case information which has been recorded; and based on position coordinates of the case information and information of the case type, uniformly allocating the case processing tasks. The subsystem adopts a design directed to a service-oriented architecture, and divides the system into independent working modules, namely, a case module, an attachment module, a flow module and a map module, and adds an analysis allocation module and an analysis merging module. The analysis allocation module, in according with people's location on the map, selects nearby personnel to handle the local case, which reduces the time for allocation in the commanding office and shortens the time of responding to the case.

Provided is a modulo scheduling method. The modulo scheduling method includes conducting a search, based on a data dependency graph of a loop, for a recurrence in which a sum of iteration distances between command nodes is less than a predetermined critical value; and determining a processing order of the recurrence.

The invention discloses a method, device and system for dispatching data flow. The method for dispatching the data flow includes the steps that the device for dispatching the data flow receives any data flow from a network side transmitting device, when the data flow is determined to be special data flow which meets setting conditions according to data attributes of the data flow, the data flow is forwarded to a data flow transmitting port of the device for dispatching the data flow through a fast channel which is established in advance, and the data flow which is forwarded to the data flow transmitting port is transmitted to the corresponding a network side receiving device through the data flow transmitting port, wherein the fast channel is a data dispatching channel which is used for conducting enqueue-free instant forwarding processing on the received data flow. Through the scheme, when the special data flow which meets the setting conditions is received, the special data flow can be instantly forwarded through the fast channel without enqueue buffer, and therefore the purposes for shortening dispatching time of the special data flow and improving transmission timeliness and time sequence are achieved.

The invention belongs to the technical field of machining, particularly relates to a multi-station integrated processing apparatus for a photovoltaic frame, and solves the problems that the design is unreasonable in the prior art and the like. The multi-station integrated processing apparatus for a photovoltaic frame comprises a rack, wherein a rotating shaft which is horizontally arranged and can rotate relative to the rack is arranged on the rack; a clamping mechanism which is fixedly connected with the periphery of the rotating shaft and provided with a plurality of clamping stations is arranged on the rotating shaft; each clamping station of the clamping mechanism can be used for clamping a photovoltaic frame in horizontal distribution; and the rack is also provided with two movable punching processing devices which are respectively located at two sides of the clamping mechanism and used for processing the photovoltaic frame. The multi-station integrated processing apparatus for the photovoltaic frame has the advantages that the occupied space is greatly reduced; the processing efficiency and precision are improved; and the practicability is strong.

The invention discloses a graph data processing method and device, equipment and a medium. The method comprises the steps of obtaining to-be-processed target graph data; counting the target graph dataaccording to a first preset rule so as to divide the target graph data into different graph data blocks and determine boundary values and weights of the graph data blocks; and storing the boundary value and the weight of each graph data block into a corresponding memory according to a second preset rule, so as to schedule the target graph data by utilizing the boundary value and the weight in a graph calculation process. In this way, in the graph calculation process, the boundary value and the weight can be used for scheduling the target graph data, the target graph data block can be rapidlyand accurately scheduled, the graph data scheduling time is saved, and the graph data processing efficiency is improved.

The invention relates to a measuring system for data setting time of tunable optical outburst receiving system that comprises a data source, an electro / optical conversion unit, a coupler, a tunable receiving unit, an optical / electro conversion unit, a series / parallel shift conversion unit, a data receiving module and a control module. The measuring method thereof is also disclosed. Advantages: limited used implement and accurate measuring.

The invention discloses a device for detecting the number of people on based pressure sources. The device includes a carrying platform, an installation plate, multiple pressure sensors and a processorused for analyzing signal transmission, the carrying platform is used for supporting multiple pressure sources, the multiple pressure sensors are laid on a surface of the installation plate; multiplesupport columns used for supporting the carrying platform are arranged on the surface of the installation plate; the processor is electrically connected to multiple sensors, and the processor is usedfor receiving, analyzing and processing information acquired by the multiple sensors. The device for detecting the number of people based pressure sources enables the pressure sensors arranged on thelower surface of the carrying platform to have a small amount of deformation through the pressure on the carrying platform, the pressure sensors then transmit the number of their received pressure sources to the processor, the processor analyzes, processes and calculates the transmitted information, and compares the transmitted information with two neighboring groups of data, and if an obtained result is in an error range, sends the processed data to a control terminal. The device realizes real-time detection for the number of people in a station and reasonable scheduling of school buses.