30results about How to "Scheduling in real time" patented technology

The invention discloses a hybrid optimal scheduling method for a dense warehousing system. The hybrid optimal scheduling method comprises the following steps: establishing a reasonable mathematical model for the picking and delivery scheduling condition of a multi-layer shuttle type goods shelf, optimizing the delivery scheduling condition, and then determining the optimal sequence for picking goods. The hybrid optimal scheduling method has the advantages that a genetic algorithm is adopted for optimizing a delivery model, so that the access travel time can be greatly shortened, the time cost can be obviously reduced, the energy consumption can be lowered, the high efficiency, high density, high availability and other advantages of an automatic three-dimensional warehouse with the multi-layer shuttle type goods shelf can be sufficiently exerted, the automatic three-dimensional warehouse can be subjected to real-time and online optimal scheduling, and the actual application value is relatively great.

Analyzing issue of OFDMA system resource scheduling deeply, the invention discloses system model of frequency and time two dimensional dynamic resource scheduling and resource scheduling strategy based on OFDMA frame. The invention also discloses high performance method for scheduling two dimensional dynamic resource of frequency and time in OFDMA system, and converts optimization problem of linear programming to optimization problem of non-linear programming, which is further converted to simple two steps scheduling method so as to reduce scheduling complexity. Taking full advantage of fading characteristic in frequency domain and time domain in OFDM system, using capacity of wireless channel farthest, the invention reaches higher efficiency of frequency spectrum and system capacity.

The invention discloses an optimal dispatching method for warehousing systems combining rail guided vehicles and lifts. With the minimum dispatching travel time as the target, a dispatching warehouse-out and warehouse-in model is optimized through the genetic algorithm, the storing and delivering travel time is greatly shortened, the time cost is obviously reduced, the energy is saved, the advantages of the high efficiency, the high density and the high utilization rate of rail guided sub-vehicle full-automatic stereoscopic warehouses can be given full play to, real-time and online optimal dispatching of the automatic stereoscopic warehouses can be realized, and the practical application significance is great.

The invention discloses an optimal dispatching method for warehousing systems combining rail guided vehicles and lifts. With the minimum dispatching travel time as the target, a dispatching warehouse-out and warehouse-in model is optimized through the genetic algorithm, the storing and delivering travel time is greatly shortened, the time cost is obviously reduced, the energy is saved, the advantages of the high efficiency, the high density and the high utilization rate of rail guided sub-vehicle full-automatic stereoscopic warehouses can be given full play to, real-time and online optimal dispatching of the automatic stereoscopic warehouses can be realized, and the practical application significance is great.

The invention discloses an application scheduling system, a method thereof and a related device which are used for executing real-time and dynamic scheduling on an application to realize good operation and elastic disposition of the application and raise resource utilization rate of the system. The application scheduling system comprises at least two computer nodes and an application cluster management device. The computer nodes are used for generating and reporting present load information and executing corresponding application scheduling according to a scheduling instruction sent by the application cluster management device. The application cluster management device is used for receiving load information reported by each computer node, determining a source computer node which needs to execute application scheduling and a target computer node to which an application is scheduled according to node load of each computer node, combining with application load of each application disposed on the source computer node, and generating a scheduling instruction and sending the scheduling instruction to the source computer node.

The present invention provides a scheduling method, device, electronic equipment and media for unmanned aerial vehicle signal suppressing equipment. The method includes: obtaining the position information of N unmanned aerial vehicles and M suppressing equipment; wherein M and N Both are integers greater than or equal to 2, and M is less than or equal to N; according to the position information, calculate the relative distance information of each drone relative to the M suppression equipment; according to the position information, calculate the relative distance information of each drone The azimuth deviation information of the man-machine relative to the M suppression equipment; in the L types of correspondence between the N unmanned aerial vehicles and the M suppression equipment, according to the relative distance information and the azimuth deviation information, Determine the optimal corresponding method, wherein each corresponding method records M sets of suppression equipment, and a UAV matched with each suppression equipment; where L is less than or equal to M! ; According to the optimal corresponding mode, control the suppressing equipment therein to suppress the N drones.

The invention discloses a combined cascaded reservoir combined flood control optimal dispatching method considering the use of flood diversion and storage embankments, comprising the following steps: S1, obtaining samples of flood diversion flow, flood diversion time, and submerged area / flood diversion volume when the embankment may be used for flood diversion; S2, training the artificial neural network model based on the sample, constructing the flood diversion flow-submerged area / flood diversion volume spatio-temporal prediction knowledge base; S3, establishing a flood control optimization dispatching model considering the use of flood diversion and storage embankments; S4, based on the spatio-temporal prediction The knowledge base calculates and analyzes the optimal dispatching model for combined flood control of mixed reservoirs considering the use of flood diversion and storage mixed reservoirs combined with civil embankments, and obtains the optimal dispatching scheme. The present invention constructs flood diversion flow-submerged area / flood diversion amount spatio-temporal prediction knowledge base by training artificial neural network, and uses it as a boundary condition of combined cascade reservoir joint flood control optimal scheduling model, so that flood diversion information can be extracted in real time and real-time scheduling can be realized .

The invention discloses a hydropower station peak regulation discharge amplitude prediction method based on water level amplitude variation control. The method comprises the following steps: simulating a non-constant flow process in a river channel by adopting a one-dimensional Saint-Venant equation set; solving the water level of each station along the downstream river channel of the hydropower station at each moment, and calculating the water level amplitude of each station along the downstream river channel of the hydropower station; establishing a function relationship between the peak regulation discharge amplitude of the hydropower station and the water level amplitude of the downstream navigable river reach; and substituting the water level variable amplitude of the downstream navigable reach required by shipping into the function relationship to obtain the peak regulation discharge amplitude of the hydropower station meeting the water level variable amplitude control requirement of the downstream navigable reach. According to the method, through one-dimensional non-constant flow simulation calculation, the correlation between the peak-load discharge amplitude of the hydropower station and the water level amplitude of the downstream navigable reach is established in advance, and then the water level amplitude control requirement of the downstream navigable reach is directly converted into the peak-load discharge amplitude of the hydropower station, so that clear constraint conditions are provided for dispatching of the hydropower station; the target of real-time and flexible dispatching of the hydropower station is achieved.

The present invention discloses an integrated and optimal scheduling system of an energy system, which is respectively connected with a management information system and a production process control system. The integrated and optimal scheduling system comprises an operation interface, an information monitoring and scheduling function module, a data analysis function module, an energy optimizing function module, an energy planning function module, an event management function module, a functional model base, a relational database, real-time database, an interface module and a manual input interface; wherein, the information monitoring and scheduling function module, the data analysis function module, the energy optimizing function module, the energy planning function module and the event management function module are respectively connected with the operation module and the functional model base; the relational database is respectively connected with the operation interface, the functional model base, the real-time database and the manual input interface; the relational database is connected with the management information system through the interface module; and the real-time database is connected with the production process control system. The present invention can scientifically and accurately schedule the energy supply, and reduce the energy waste and pollutants.

The invention discloses an intelligent scheduling device suitable for carrier communication of a ring distribution network and a method therefor. The intelligent scheduling device is arranged in the ring distribution network, and comprises a microprocessor module, as well as an Ethernet interface module, a synchronous dynamic random access memory, a flash memory and two serial interface modules, which are respectively connected with the microprocessor module. The intelligent scheduling device further comprises a power supply module for supplying power to the above modules. In the invention, the characteristic that the carrier communication links of the ring distribution network are the same in a ring manner is fully utilized, and the MCU (Microprogrammed Control Unit) microprocessor module is used for control, so as to monitor the communication state of two carrier networks of the ring distribution networks in real time, when some point fails to work, the one with interrupted communication is automatically switched to the other carrier network from carrier equipment, and when the failure of the point is removed, the original carrier lattice structure is restored. According to the invention, full-automatic switching and scheduling of carrier communication are achieved without the need of manual intervention, and the scheduling is carried out in real time without influencing normal carrier communication.

The invention discloses a web-cluster-oriented low energy consumption scheduling system and a method. The scheduling system comprises an energy-sensible scheduling module, a hysteresis controller and a manager, wherein the energy-sensible scheduling module, the hysteresis controller and the manager are connected sequentially. By the aid of the scheduling system, the resource utilization ratio in a web cluster system is greatly improved, and the energy consumption of the system is reduced. According to the method, a load connection number in the web cluster system serves as a sensitive factor, the system can schedule cluster nodes and virtual machine resources through monitoring of the load connection number only, the method has the advantages of being simple to operate, easy to implement, capable of achieving real-time scheduling and the like, and the scheduling method can improve the sensitivity of resource scheduling of the system.

The present invention relates to the field of grid power flow calculation and the technical field of data driving, and provides a data driving-based grid power flow equation linearization and solving method. The method comprises: first establishing mapping equations from active power injection and reactive power injection to voltage phase angle and voltage amplitude according to node types of nodes of a power system, and then listing calculation expressions of power flow equation solutions according to the relations between known and unknown quantities of the node types; and proposing, according to data such as the active power injection, reactive power injection, voltage amplitude, and voltage phase angle in historical measurement data of the grid, a Bayesian linear regression method for grid power flow equation linearization in which a grid data colinearity characteristic is considered, so as to obtain the solution of a linearized power flow equation. The present invention can improve the precision of grid power flow equation calculation and facilitate reducing grid operation costs. In addition, the present invention reduces the calculation amount, improves the calculation flexibility, and better accords with the actual situations of the power system in engineering application.

The invention discloses a bus operation and passenger travel optimization system composed of a client module and a server module. The information between the client module and the server module is transferred under a HTTP protocol through an internet of vehicles (IOV). The system reconstructs an ordinary electronic bus stop board to a touch-screen electronic bus stop board and achieves passenger OD information acquisition so that a bus scheduling system can schedule buses in real time to improve the efficiency of a bus operation system. An algorithm for calculating the bus passenger capacity is established by using passenger travel information, thereby providing important data support for passenger's travel choices. A criterion for determining whether a bus stops at a platform is provided in order to reduce traffic jam and vehicle harmful gas emission due to the stop of the bus. The system is easy to operate, high in automatic data processing efficiency, can improve a phenomenon that the bus has to stop at each stop at present, is easy to be accepted by the public, and contributes to the system popularization.

The invention relates to a method for dispatching and displaying of a blackboard writing area of an electronic display screen. The method comprises the following steps of configuring a multi-page presentation selection virtual press key on a display touch area; building a new thumbnail array by the press key; performing the touch input operation on any thumbnail by the touch operation, and finding the completed or uncompleted thumbnail by the press key; continuing to perform the touch input operation on the completed or uncompleted thumbnail by the touch operation. The method for dispatching and displaying of the blackboard writing area of the electronic display screen has the advantages that the real-time dispatching of the blackboard writing area of the electronic display screen is realized, and the blackboard writing content is conveniently presented.

The invention discloses a hybrid optimal scheduling method for a dense warehousing system. The hybrid optimal scheduling method comprises the following steps: establishing a reasonable mathematical model for the picking and delivery scheduling condition of a multi-layer shuttle type goods shelf, optimizing the delivery scheduling condition, and then determining the optimal sequence for picking goods. The hybrid optimal scheduling method has the advantages that a genetic algorithm is adopted for optimizing a delivery model, so that the access travel time can be greatly shortened, the time cost can be obviously reduced, the energy consumption can be lowered, the high efficiency, high density, high availability and other advantages of an automatic three-dimensional warehouse with the multi-layer shuttle type goods shelf can be sufficiently exerted, the automatic three-dimensional warehouse can be subjected to real-time and online optimal scheduling, and the actual application value is relatively great.

The embodiment of the present invention discloses a DC energy supply method. In order to promote the development of the ubiquitous power Internet of Things, the present invention uses a renewable energy-oriented power packet dispatching system to supply power to MEC servers. On the one hand, it can realize green environmental protection, on the other hand The emerging method of transmitting electrical energy in power packets can achieve quantitative, real-time, and precise energy scheduling.

The invention discloses a multi-core parallel simulation engine system supporting joint operations. The system solves the problem that the real-time performance of a traditional joint operation system is easily influenced when step length is used to forward logic time. The system includes a model scheduling management module, a thread management module, an external interface management module and a high-level architecture (HLA) management module. According to the system, target nodes are assigned for simulation entities to enable total computation amounts of models on each node to be equivalent; then through the model scheduling management module, a scheduling schedule of each node is generated based on a principle of load balancing, the simulation step length is assigned for the models, and during a simulation process, the scheduling schedule is adjusted and the simulation step length of the destroyed entities and generated new entities is adjusted. The system can autonomously divide the scheduling schedule according to operating cycles of the models and the system step length, allow the entities to use the different physical models or the behavior models according to needs for simulation, and support real-time scheduling of large-scale simulation and the high-fidelity operation models.

The embodiment of the present invention discloses a mobile substation transport vehicle self-adjustment center system, including a performance management and control module, a dispatching main control center, a fault management module and a network adjustment module. The performance management and control module sets an alarm threshold for maintaining the normal operation of the system. The dispatching main control center is connected to the dispatching main control center through a performance alarm statistics module, and the dispatching main control center is connected to the fault management module through a performance comprehensive query module, and the signal end of the fault management module is connected to a guarantee management and control subsystem, and the guarantee management and control The communication end of the subsystem is connected to the monitoring host through the wireless network. The whole system is based on the management and control system, combined with the data information stored in the database, and integrates the system of the network commissioning center, and finally realizes the fault management and scheduling of transport vehicles. The function can dispatch transport vehicles in real time, and replace transport vehicles in time according to system alarms, thereby improving the work efficiency of mobile substations.

Analyzing issue of OFDMA system resource scheduling deeply, the invention discloses system model of frequency and time two dimensional dynamic resource scheduling and resource scheduling strategy based on OFDMA frame. The invention also discloses high performance method for scheduling two dimensional dynamic resource of frequency and time in OFDMA system, and converts optimization problem of linear programming to optimization problem of non-linear programming, which is further converted to simple two steps scheduling method so as to reduce scheduling complexity. Taking full advantage of fading characteristic in frequency domain and time domain in OFDM system, using capacity of wireless channel farthest, the invention reaches higher efficiency of frequency spectrum and system capacity.

The invention belongs to the technical field of public transportation, and discloses a route optimization system and method for public transportation. The public transportation dispatching system includes site equipment and a dispatching server. The site equipment includes a display and a wireless communication module. In order to display each bus line corresponding to this site and the corresponding QR code of this site, the wireless communication module will display the information of the passenger's smartphone, the selected bus route and destination station information, and whether the passenger's smartphone has left the site. site, and report to the scheduling server. The dispatch server dispatches according to passenger demand. The present application can count the bus routes and destination stations selected by platform passengers in real time, so as to facilitate flexible and accurate scheduling of buses to meet changing passenger needs at any time.