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

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 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 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.

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 method comprises the following steps: firstly, field production energy flow data are input into a relational database through a manual input interface, or a real-time database collects the field production energy flow data transmitted by a production process control system and stores the data into the relational database; secondly, the scheduling personnel operates the information monitoring and scheduling function module, the data analysis function module through an operation interface, or triggers an event management function module through an external event, so as to read and write the relational database, or the scheduling personnel reads and writes the relational database through the operation interface or an management information system, transforms the data format of the read data, transmits the data to the operation interface for displaying or printing or to the management information system; thirdly, the scheduling personnel operates an energy optimizing function module and an energy planning function module to adopt the corresponding optimal scheduling for the production energy system according to the displayed or printed data and advice. The present invention can realize the global optimization of the enterprise energy scheduling.

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 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 invention provides a service region scheduling method and system of a low-orbit constellation satellite communication system, and aims to overcome challenges brought to resource allocation and service region scheduling by high dynamics and uneven service distribution of low-orbit satellites. Various influence factors needing to be considered in service region scheduling and principles needingto be followed are analyzed, the thought of quantifying user services and performing service region scheduling by using a position region is provided, and a scheme for scheduling a service region by using satellite coverage, high-orbit avoidance, satellite resources, visual time and satellite-ground distance as references is designed. A scheduling algorithm based on multi-objective optimization isprovided, so that real-time, efficient and reliable service region scheduling of the low-orbit constellation satellite communication system is realized.

The invention discloses a regional first-aid monitoring method, system and device based on vehicle scheduling. The method comprises the steps of: generating a pre-arranged first-aid plan according toa first-aid call, wherein the pre-arranged first-aid plan comprises the disease of a patient, a preliminary diagnostic result, a disease place and a first-aid place; according to the first-aid place in the pre-arranged first-aid plan, determining a first-aid medical site based on a proximity principle; according to the pre-arranged first-aid plan, determining a first-aid vehicle through a pre-setvehicle scheduling algorithm; and monitoring the first-aid vehicle and the first-aid medical site in real time through an IOT technology. The system comprises a pre-arranged plan generation module, afirst-aid medical site determining module, a first-aid vehicle determining module and a monitoring module. The device comprises a storage and a processor. The regional first-aid monitoring method, system and device based on vehicle scheduling in the invention have the advantages of being balanced in first-aid resource utilization rate, rapid in rescue speed and high in emergency capability, and can be widely used in the technical field of first-aid systems.

The invention discloses a shoemaking production line layout based on personalized customization and a scheduling mode of the shoemaking production line layout, and the specific layout and scheduling steps are as follows: step 1, based on personalized customization, production is carried out by a production line according to a customer customization order, and the customization order is generated after foot shape measurement, shoe style selection and vamp pattern customization are carried out by each customer in a store; step 2, an operator of the production line issues a process instruction book for production in combination with MES, and pattern files and process parameters corresponding to an order are downloaded and uploaded to the flying loom for production when the order is issued; step 3, on the basis of the step 2, vamp auxiliary materials are conveyed to a vamp auxiliary material lighting warehouse through a vamp auxiliary material conveying line to wait for being matched withthe vamps, and after matching is completed, the vamps with the RFID tags, the auxiliary materials and the material boxes are conveyed to stations needed by vamp forming through a vamp forming roller conveying line to be operated. The shoemaking production line layout based on personalized customization and the scheduling mode thereof are stable and reliable, equipment is simple, operation is convenient, practicability is high, and the shoemaking production line layout is suitable for wide application and popularization.

The invention discloses a material scheduling method and device and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining the production configuration information of a production workshop; acquiring production and manufacturing information according to the production configuration information at the starting moment of a sampling period; constructing a time loss matrix according to the production and manufacturing information; each row of the time loss matrix corresponds to one device which is blanked / called, each column of the time loss matrix corresponds to one device which can be used for feeding / taking materials, and the value of the matrix represents time loss; solving the time loss matrix; and scheduling the materials according to a solving result of the time loss matrix. The problem that an existing scheduling scheme is possibly inaccurate is solved, and the effects that real-time scheduling is carried out according to the production and manufacturing information of the production workshop, and the material scheduling accuracy is improved are achieved.

The embodiment of the invention discloses a transport vehicle self-adjusting center system of a mobile substation. The system comprises a performance management and control module, a scheduling main control center, a fault management module and a network adjustment module. The performance management and control module sets an alarm threshold value for maintaining normal operation of the system. The performance alarm statistics module is connected with the dispatching main control center; the dispatching master control center is connected with the fault management module through a performance comprehensive query module. The signal end of the fault management module is connected with a guarantee management and control subsystem. The communication end of the guarantee management and control subsystem is connected with a monitoring host through a wireless network. The whole system takes a management and control system as a framework; on the basis of the data information stored in the database, the system of the network dispatching center is integrated, finally, the functions of fault management and dispatching of the transport vehicles are achieved, the transport vehicles can be dispatched in real time, the transport vehicles can be replaced in time according to system alarms, and therefore the working efficiency of the mobile substation is improved.

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 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 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 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 invention belongs to the technical field of public transport, and discloses a public transport route optimization system and method.The public transport scheduling system comprises station equipment and a scheduling server, the station equipment comprises a displayer and a wireless communication module, and the displayer is used for displaying each bus route corresponding to the station and the two-dimensional code corresponding to the station, and the wireless communication module reports the information of the smart phone of the passenger, the information of the selected bus route and the destination station, and whether the smart phone of the passenger leaves the station to the scheduling server; and the scheduling server carries out scheduling according to passenger demands. According to the invention, the bus route and the destination station selected by the passengers at the station can be counted in real time, so that the buses can be flexibly and accurately dispatched to meet the requirements of the passengers changing at any time.

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.

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.