31results about How to "Realize collaborative scheduling" patented technology

The invention relates to an energy center-based power-gas-heat system co-scheduling method and system. The method comprises the steps of obtaining a power load prediction value, a natural gas load prediction value and a heat load prediction value of a target time segment, reported by energy centers of power-gas-heat systems; obtaining scheduling goals and constraint conditions of the power-gas-heat systems, and determining scheduling plans of the energy centers according to the scheduling goals, the constraint conditions and the obtained power load prediction value, natural gas load prediction value and heat load prediction value; and sending the scheduling plans of the energy centers to the corresponding energy centers, wherein energy converters and energy storage devices in the energy centers run according to the received scheduling plans. By adopting the scheme, the co-scheduling of the power-gas-heat systems can be effectively realized.

The invention discloses a comprehensive integrated mine dispatching communication system. The comprehensive integrated mine dispatching communication system comprises an integral dispatching platform, a dispatching platform and multiple functional systems, wherein the integral dispatching platform, the dispatching platform and the multiple functional systems constitute a local area network. The integral dispatching platform comprises a network switch, a dispatching host and a network management host. The dispatching platform monitors and dispatches the multiple functional systems through the local area network. The multiple functional systems comprise the wired dispatching communication system, the wireless dispatching communication system, the emergency broadcast communication system, the audio / video linkage system, the video dispatching system and the information miner lamp dispatching communication system. According to the comprehensive integrated mine dispatching communication system, the multiple functional systems are integrated through a universal IP network, the multiple systems can be commanded, dispatched, managed and maintained universally, and the multiple systems can independently operate; when an emergency occurs, multi-lateral cooperation, resource sharing and cooperative dispatching can be achieved.

The invention discloses a multistage power grid linkage unit combination scheduling method in a regional power system. The method comprises the following steps: determining multistage power grid active loads and operation parameters of each stage of power grid unit in the regional power system; establishing a safety constraint unit combination economic dispatching model considering unit start andstop and taking active loads of all levels of power grids as linkage decision quantities; and solving the model based on a target cascade analysis method, and determining an optimal scheduling resultof the system. The micro-grid constraints comprise micro-grid power balance constraints and micro-grid tie line transmission power constraints. The method surrounds an electric power system in a certain area; the goal of minimizing the total operation cost of the regional system is achieved. On the premise of meeting respective constraints of all levels of power grid layers, a safety constraint unit combination model considering unit start and stop is established. The active capacity of each level of power grid layer is taken as a linkage decision amount to make unified analyses and decisionsof a full power system. The model is solved by adopting a distributed parallel computing target cascade analysis method (ATC) to realize source-network-load cooperative scheduling of a complex system.

The invention discloses a cloud-side cooperative task scheduling method for an intelligent building. The intelligent building cloud edge collaborative architecture comprises a cloud computing layer, an edge computing layer and an intelligent equipment layer. The defects of cloud computing and edge computing can be overcome, and the advantages of cloud computing and edge computing are fully combined. According to the scheduling method, the task manager is firstly used for collecting the size of task data generated by the intelligent equipment, the type of tasks and the calculation intensive degree, then all equipment resources and network information in the system are collected, then a system model and a task model are established, and existing technical problems are converted into mathematical optimization problems. And finally, according to the density degree of task calculation, after tasks are segmented, a task scheduler and a built-in optimization algorithm search for an optimal scheduling scheme, and then the task scheduling scheme is distributed. The set of operation mechanism can quickly respond to the request of the intelligent building, greatly reduces the task completion time, achieves the reasonable configuration of computing resources, and enables the privacy of a user not to be leaked easily.

The invention relates to a task scheduling mutual backup method. The method is used for performing scheduling mutual backup tasks stored in a database server by utilizing more than two applying masters, and includes an initialization step, namely reading the task number X of each scheduling in the configuring files in the applying masters through task scheduling service of the applying masters; a task scheduling service step, namely acquiring last X task records from a task information list of the database server through the task scheduling service in a mutex manner according to task time sequences; a task distribution step, namely distributing the acquired tasks from the applying masters one by one through the task scheduling service. By the aid of the task scheduling mutual backup method, system reliability can be improved effectively.

The present invention discloses a transmission and distribution coordinated economic dispatching method through combination of model prediction control. The method employs multi-step dynamic rolling optimization to obtain active and reactive output increments on the basis of the long-term scale transmission and distribution optimal power flow based on the principal and subordinate splitting methodand the short-term scale based on the model prediction control to regulate the stored energy accessed into the main network and the distribution network and the output of a distributed power source to make the output control process smoother; the short-term prediction link utilizes a LSTM neural network to process the sequence data and a deep learning method is employed for prediction so as to improve the prediction and control precision. The dispatching method provided by the invention can achieve coordinated optimization of the transmission network and the power distribution network to achieve the efficiency consumption of the new energy and the economic and efficient operation of the power grid.

The invention provides a scheduling method, a scheduler, a storage medium and a system, and belongs to the technical field of communication. The scheduling method comprises the steps: acquiring an incidence relation graph and data distribution information, wherein each node in the incidence relation graph refers to one piece of data, and each directed edge is used for representing an operation request for calculating according to the data referenced by a source node to obtain the data referenced by a target node; according to a preset node sorting strategy, sequentially positioning the operation requests corresponding to the traversed nodes to any server where the data indicated by the traversed nodes are located; and sequentially scheduling at least one job request represented by at leastone directed edge to the positioned server. For the scheduling method, the incidence relation graph is used for representing the incidence relation between the data and the corresponding relation between the operation requests and the data, and the data distribution information is used for representing the data distribution condition, so that cross-node data transmission can be reduced, the operation execution time of the whole operation request is shortened, and the calculation efficiency is improved, and the system performance is improved.

The invention relates to the field of remote sensing image processing, in particular to a remote sensing image processing service flow achieving method in a cloud environment. The method comprises thefollowing steps that remote sensing image mirror image documents are uploaded to Openstack, so that virtual machine cluster instances subjected to co-processing of different remote sensing images inthe cloud environment are created in the Openstack; among different virtual machines, log-in is achieved without codes through SSH, and transmission of remote sensing image intermediate data among thedifferent virtual machines is achieved; after a remote sensing image processing service flow scheduling system receives a remote sensing image processing service flow job created by a remote sensingimage processing user from a Web client, through a remote sensing service BPMN process revolver, a Jenkins REST API and an openstack rest API, tasks are distributed onto the different virtual machinesfor scheduling treatment. According to the method, through virtualization isolation, it is achieved that multiple remote sensing image processing algorithms run on a same physical machine, so that the multi-core resource utilization rate of the physical machine is improved; by creating a virtual machine cluster on multiple physical machine servers, by means of the REST APIs, remote sensing task co-processing over the virtual cluster is achieved, and then a co-scheduling service flow in the cloud environment is formed.

The invention discloses a container yard double-yard-bridge dynamic cooperative scheduling method which comprises the following steps: 1, carrying out simulated learning on a designed Q value table byutilizing container yard operation simulation to obtain a Q value table after simulated learning; and 2, dynamically generating an action instruction of the field bridge by utilizing the learned Q value table and the action selection strategy, selecting a task to operate by the field bridge according to the action instruction, and adaptively updating the Q value table according to box area operation feedback in a field bridge scheduling process. According to the method, the container stacking and taking operation efficiency of the storage yard is improved, and double-yard-bridge interferenceand vehicle waiting time are reduced.

The invention discloses an energy internet collaborative optimization operation method. The method comprises the steps of P1, determining an optimization range; p2, establishing a refined energy internet model; p3, acquiring priority sequences of various controllable load units in real time through a user intelligent terminal; p4, obtaining a solving result; p5, acquiring real-time data of the terminal; p6, obtaining a terminal regulation and control threshold value; p7, judging whether the energy supply of the energy internet is balanced or not; p8, determining a load control target value; and P10, carrying out optimization adjustment on the energy internet of the optimization area. The energy internet is separated and optimized by adopting a mode of dividing an optimization range; different optimization processing is carried out on the actual operation modes of different regions, the timeliness and pertinence of optimization are ensured and disorder is avoided by combining the bidirectional change trend of the terminal data and the Internet energy supply end, the overall cooperative scheduling of the controllable loads in the regions can be realized, the unit maintenance cost isreduced, and the method is beneficial to popularization and application.

The invention discloses a distributed power resource optimization scheduling method in a blockchain environment. The method comprises the steps that (1) a renewable energy calculation contract A, an output adjustment intelligent contract B, an output cooperation intelligent contract C and a transaction settlement intelligent contract D are deployed on a blockchain; (3) the contract A accumulates the total predicted power generation capacity of a renewable energy power generator and transmits the total predicted power generation capacity to the contract B; (4) the contract C generates a corresponding output adjustment signal according to the received auxiliary variable and transmits the output adjustment signal to the corresponding contract B; (5) the contract B adjusts the power price andthe power generation capacity of the power generator according to the received output adjustment signal, and judges whether the power price converges or not: the power generation capacity and the power price are transmitted to the contract D if the power price converges; otherwise, the power price is taken as an auxiliary variable for broadcasting; and (6) the contract D generates a transaction settlement contract according to the received power generation amount and price. According to the invention, the scheduling result is better, and the energy utilization rate is higher.

The invention relates to an intelligent AGV scheduling system and method based on cloud platform management. The system comprises a 5G communication technology connection module, a data information acquisition module, an AGV state monitoring module and a path intelligent regulation and control module. The method comprises the following steps: modeling a material transportation processing scene in a factory by using a grid map method; receiving, by a cloud platform, state information of CNC and AGVs, and storing, by the cloud platform, responses in a form of a data table; taking a row coordinate X as a foreign key to extract operation states of each CNC and AGV on each row to form a new data table; selecting the operation states of the CNC and the AGVs meeting standards, and recording and responding to demand signals sent by the CNC, wherein a response rule is a composite path dynamic scheduling strategy and a priority principle; and moving, by the AGVs, to corresponding CNC coordinate positions sending demands according to the rule to carry out material transfer. According to the invention, cooperative scheduling and multi-task processing of a plurality of AGVs can be realized, so that the application range of the AGVs in an actual scene is expanded.

The invention relates to a comprehensive energy scheduling method and a comprehensive energy scheduling system, which are applied to at least one associated comprehensive energy system, and the methodcomprises the following steps: determining an energy supply scheme of output energy of each comprehensive energy system based on the minimum operation cost; based on the energy supply scheme, determining an energy exchange scheme between any two integrated energy systems in at least one associated integrated energy system; and performing energy scheduling on each comprehensive energy system basedon the energy exchange scheme. According to the invention, complementation, mutual assistance and collaborative optimization between comprehensive energy systems can be realized.

The invention discloses a coal mine production safety intelligent management system in the technical field of coal mining. The system comprises a mine scheduling device which is composed of two firstPC type touch dispatching desks; a core server group, wherein the core server group is connected to the mine scheduling device; a wellhead lightning arrester connected to the core server group and used for executing underground telephone lightning protection; a wired dispatching system connected to the wellhead lightning arrester; a communication system connected to the mine scheduling device; a mobile scheduling system connected to the communication system; and an emergency broadcast system connected to the communication system. The coal mine production safety intelligent management system ishigh in compatibility and expansibility, unified scheduling can be carried out on all terminals, and accordingly broadcasting, wireless scheduling and wired scheduling can be integrated with one another.

The invention provides an unmanned same-span multi-crown-block cooperative scheduling method and system, a medium and a terminal. The method comprises the following steps that the starting positions,destinations, planned paths and blocking areas of target crown blocks and adjacent crown blocks located in the same span are obtained; judging whether the target crown block and the adjacent crown block have a blocking area conflict or not; if yes, eliminating the blocking area conflict through avoidance, and updating the blocking area of the target crown block; if not, judging whether path conflict exists between the target crown block and the adjacent crown block or not; if yes, waiting to eliminate the path conflict, and updating the blocked area of the target crown block; and if not, outputting the planned path of the target crown block as an executable path of the target crown block. According to the unmanned same-span multi-crown-block cooperative scheduling method and system, the medium and the terminal, path conflict resolution and orderly avoidance of multiple crown blocks can be achieved, and the method and system can adapt to crown block operation destination changes, crownblock faults or abnormalities and other variability.

The invention provides an underground coal mine unmanned area inspection system. The underground coal mine unmanned area inspection system comprises a dispatching platform, an intrinsic safety type wireless base station and a dispatching terminal; the dispatching platform comprises a dispatching server, a recording server, a video server, a positioning server, a management server, a dispatching desk and a network switch; the intrinsic safety type wireless base station supports Wi-Fi wireless access and realizes conversion and transmission of data in a TCP / IP local area network and the dispatching terminal; and the dispatching terminal comprises an intelligent miner lamp, and further comprises Bluetooth laser handheld gas detector, a Bluetooth bracelet and a Bluetooth positioning tag which are connected to the intelligent miner lamp through Bluetooth, the intelligent miner lamp stores the related data, and when wireless network connection exists, the intelligent miner lamp transmits the data to the dispatching platform, so that the functions of personnel positioning, track playback, gas monitoring, personnel health monitoring and voice and video dispatching can be realized. The underground coal mine unmanned area inspection system provided by the invention can realize fusion of unmanned area inspection and dispatching communication, and reduces the occurrence of underground major accidents.

The invention discloses a vehicle scheduling method, device and system and a storage medium. The method comprises steps of transmitting the first information to first equipment when a vehicle is determined to meet a preset scheduling condition, and obtaining the second information issued by the first equipment; acquiring the position information of the vehicle based on the current environment image of the environment where the vehicle is located; fusing the position information and the second information of the vehicle to generate a vehicle position signal; sending the scheduling request information to the second equipment under the condition of establishing connection with the second equipment so that the second equipment generates a scheduling control signal based on the scheduling request information; and obtaining a scheduling control signal, and executing vehicle scheduling based on the scheduling control signal. By means of the enhanced roadside equipment, the V2I function and the vehicle scheduling function of the underground parking lot can be achieved, and therefore cooperative scheduling of non-unmanned vehicles and unmanned vehicles is achieved, and vehicle positioning information receiving and vehicle-road cooperative vehicle scheduling are achieved.

The embodiment of the invention provides a method of realizing business cooperative scheduling, and a calculating single board. The method comprises: obtaining the CPU (Central Processing Unit) use ratio information of a communication single board; according to preset storage conditions, storing the obtained CPU use ratio information in a CPU use ratio form; receiving the data to be processed transmitted by a first communication single board, wherein the first communication single board possesses an overload CPU use ratio; selecting a second communication single board in the stored CPU use ratio form according to preset screening conditions; sending the received data to be processed to the second communication single board; and receiving the processing result fed back by the second communication single board, and forwarding the processing result to the first communication single board.

The invention relates to a method for constructing the Internet of Things of a small town cognitive matrix. The method comprises the following steps: S1, carrying out region position association construction on composition elements in a region based on a knowledge graph; S2, carrying out probe grid construction for detecting the mobile equipment in the region; S3, carrying out matrix collection and construction for collecting mobile data of the mobile device in the region, and carrying out data annotation construction for annotating the mobile data; And S4, carrying out topology convolution construction for machine training learning based on the mobile data, and carrying out prediction classification construction. The Internet of Things constructed by the invention realizes recognition andunderstanding of behavior track characteristics of mobile phone holders such as small town customers, routers and searchers, and cognitive ability of self-management, self-learning and self-optimization.

The invention discloses a method for dynamic collaborative dispatching of double yard bridges in a container yard, which includes step 1, using container yard operation simulation to simulate and learn the designed Q value table, and obtaining the Q value table after the simulation study; step 2, using The learned Q value table and action selection strategy dynamically generate the action instructions of the yard bridge, and the yard bridge selects tasks to carry out operations according to the action instructions. The method improves the operation efficiency of stacking and retrieving boxes in the storage yard, and reduces the interference of double yard bridges and the waiting time of vehicles.

The embodiment of the invention provides a method and system for adjusting a physical transmission rate. The method comprises the following steps of: selecting a target neighbor cell according to report information of UE; by the target neighbor cell, generating second channel state information (CSI) according to the first CSI preset by a serving cell; by the UE, determining a channel quality indication signal (CQI) according to the first CSI and the second CSI; by the serving cell, determining a conflict proportion according to the resource occupation information of the target neighbor cell and the resource occupation information of the UE; and calculating an equivalent CQI according to the CQI reported by the UE and the conflict proportion, and determining a modulation coding scheme (MCS) corresponding to the equivalent CQI to adjust the physical transmission rate of the UE. More accurate CQI reference information is obtained in a target neighbor cell cooperation mode, so that the MCS of a channel is more matched with an actual channel, and the spectrum efficiency of an edge user terminal and the user experience rate are improved.

The present invention relates to a method for constructing a cognitive matrix Internet of Things in a small town, comprising: S1. constructing location-associated elements in an area based on a knowledge map; S2. detecting a probe grid for mobile devices in the area Construction; S3. Perform matrix acquisition construction for collecting mobile data of the mobile device in the area, and perform data labeling construction for labeling the mobile data; S4. Perform topology for machine training and learning based on the mobile data Convolutional construction, and predictive classification construction. The Internet of Things constructed by the present invention realizes the cognitive ability of identifying and understanding the characteristics of mobile phone holders such as small-town customers, passers-by, and explorers, as well as self-management, self-learning, and self-optimization.

The disclosure provides a scheduling method, a scheduler, a storage medium and a system, belonging to the technical field of communication. The method includes: acquiring association relationship diagram and data distribution information, each node in the association relationship diagram refers to a piece of data, and each directed edge is used to represent the data referred to by the destination node calculated according to the data referred to by the source node Job request; according to the preset node sorting strategy, sequentially locate the job request corresponding to the traversed node to any server where the data pointed to by the traversed node is located; at least one of the nodes represented by at least one directed edge Job requests are dispatched to the located servers in turn. By using the association relationship diagram to represent the relationship between data and the corresponding relationship between job requests and data, and using data distribution information to represent data distribution, data transmission across nodes can be reduced, and the job execution time of the overall job request can be shortened. Improve computing efficiency and improve system performance.

The invention relates to a task scheduling mutual backup method. The method uses two or more application hosts to schedule and mutually backup tasks stored in the database server, and includes the following steps: an initialization step, the task scheduling service on the application host reads each task from the configuration file of the application host The number of tasks scheduled is X; the task scheduling service step, according to the task time sequence, the task scheduling service obtains the first X task records from the task information table of the database server in the form of a mutex; the task distribution step, the task scheduling service The obtained tasks are distributed one by one on the application host. The task scheduling mutual backup method according to the invention can effectively improve the reliability of the system.

Embodiments of the present invention provide a method for implementing service collaborative scheduling, a computing board, and a storage medium. The method comprises: acquiring CPU utilization rate information of a communication board; storing, according to a preset storage condition, the acquired CPU utilization rate information in a manner of a CPU utilization rate form; receiving to-be-processed data sent by a first communication board, wherein the first communication board is a communication board, the CPU utilization rate of which is higher than a load indicating overloading; selecting a second communication board from the stored CPU utilization rate form according to a preset screening condition; and sending the received to-be-processed data to the second communication board.

A QoE-aware edge computing task scheduling method. The steps are: the router periodically collects device resource status information and network status information. When the router receives a task scheduling request, it first predicts the execution time of the task on different devices according to the prediction model. On this basis, an edge computing task scheduling model is established based on device resource status information, network status information, and task data, and a linear programming model solver is used to solve the task scheduling model to obtain task scheduling results. Finally, based on the task scheduling result, the router is responsible for distributing the task to the corresponding edge device / cloud server for execution, and returning the result to the task requesting device.

The present application discloses a vehicle scheduling method, device, system and storage medium. The method includes: when it is determined that the vehicle satisfies the preset scheduling condition, sending the first information to the first device, and obtaining the second information issued by the first device. Information; based on the current environment image of the environment where the vehicle is located, obtain the location information of the vehicle; fuse the location information of the vehicle with the second information to generate a vehicle location signal; when establishing a connection with the second device, send Sending dispatch request information, so that the second device generates a dispatch control signal based on the dispatch request information; acquires the dispatch control signal, and executes vehicle dispatch based on the dispatch control signal. With the help of enhanced roadside equipment, the V2I function and vehicle scheduling function of the underground parking lot can be realized, so as to realize the coordinated scheduling of non-manned and driverless vehicles, as well as the reception of vehicle positioning information and vehicle-road coordinated vehicle scheduling.

Disclosed is a smart factory dynamic collaborative scheduling method based on static scheduling prediction. After a workpiece enters into a production system, a corresponding workpiece agent is generated; every time after the workpiece agent enters into the production system or any of a processing procedure is completed, a processing unit agent is selected by the workpiece agent to perform processing procedures, a transportation unit agent is selected by the processing unit agent to transport workpiece, and if all of the procedures are completed, the transportation unit agent is selected by awarehouse unit agent to transport products to a warehouse. By means of the method, the problem of foresight lacking and overall concept lacking of a single agent of an existing multi-agent method is overcome, the foresight and overall concept of the single agent are improved through an experience summarizing mechanism and a global environment prediction mechanism, and the overall performance of the production system is optimized.

The invention provides an intelligent fusion communication command system, which is formed based on a digital trunking communication technology and comprises a data layer, a data access layer and an access layer of a service system, wherein the data layer is used for storing structures of all information data processed by a command and dispatch system, and the data access layer is used for designing adding, selecting, deleting and updating operations of a database; the database is entered through the data access layer for providing an interface or a function for effectively accessing data. The access layer of the service system comprises a scheduling function module, a member tree module, a scheduling station login module, a parameter setting module, a basic information maintenance module, a map operation module, a mobile user operation module, a call operation module, a marshalling information maintenance module and a log management module, and the access layer of the service system is realized based on a GIS information system mode. The intelligent fusion communication command system realizes sharing of data information management and data scheduling processing of an application layer on the basis of a GIS mode.