13results about How to "Realize intelligent scheduling" patented technology

The invention discloses a fused salt multistage energy storage management method and system, and the method comprises the steps: obtaining the historical load data of a power grid, carrying out the modeling prediction based on the historical load data of the power grid, and obtaining the load prediction data of the power grid; performing clustering analysis on the load prediction data of the power grid, and determining a power grid load stage in the load prediction data; setting a multi-stage energy storage management strategy based on a power grid load stage, and performing simulation operation according to the multi-stage energy storage management strategy; and evaluating the simulation operation result to obtain a multi-stage energy storage management evaluation value, and adjusting a multi-stage energy storage management strategy based on the multi-stage energy storage management evaluation value. By means of the technical means of modeling prediction, clustering analysis, simulation operation and the like, intelligent scheduling and management of the multi-stage energy storage system are achieved, the multi-stage energy storage management strategy is adjusted by evaluating the simulation operation result, the multi-stage energy storage management strategy is optimized, the energy utilization efficiency of the system is improved, and the energy utilization efficiency of the system is improved. And the flexibility and the response capability of the system are improved.

The invention provides a scheduling method and a scheduling device of an automatic charging system, a storage medium and a computer program product. The automatic charging system comprises a charging pile and a mechanical arm, the mechanical arm performs plugging operation on a charging gun on the charging pile so as to enable the charging gun to perform charging operation on an electric vehicle, and the scheduling method comprises the following steps: a construction step: respectively constructing a strategy value function and an action value function for the charging pile and the mechanical arm; a modeling step: modeling the constructed action value function and strategy value function of the charging pile and the mechanical arm by using a neural network so as to establish an action value network and a strategy network; a training step: training the established action value network of the charging pile and the mechanical arm by using a time sequence difference algorithm, and training the established strategy network of the charging pile and the mechanical arm by taking maximum accumulated reward as a target; and a parameter updating step of updating the neural network parameters after the training step is completed, so that the strategy of the charging pile and the mechanical arm is the optimal scheduling strategy.

The present application relates to a kind of car body production sequence scheduling system and scheduling method, so that car body is after welding process, enter assembly process before, in coating process, car body production sequence adjustment is carried out, the intelligent scheduling of car body production sequence between different processes is realized, and car body of production plan overtime can be timely discharged;The order of discharge queue is adjusted by vertical warehouse scheduling system, can meet the demand of adjusting spraying order according to color in coating process without affecting assembly plan order, and the discharge queue in production can make the same color car body sort together, reduce the color switching frequency in coating spraying process, improve production efficiency;Pre-paint grouping stereoscopic warehouse is set in coating process, between pretreatment electrophoresis line and topcoat line, is sorted and adjusted by discharge queue in coating process, can reduce the situation that assembly plan is adjusted due to car body needing to be repaired from assembly process point because of coating quality defect, improve production efficiency.

This disclosure relates to the field of computer and graphics processor technology, and discloses a register data transfer system, method, electronic device, storage medium, and computer program product. The system includes: an instruction issuing module for sending N data transfer instructions, the BL of each data transfer instruction, and the IA of each thread included in each instruction to an instruction control module in parallel; the instruction control module for determining the execution order of the N data transfer instructions, and sending the BL of the currently to-be-executed data transfer instruction and the IA of each thread included in each instruction to a register read / write module according to the execution order; and the register read / write module for executing the data transfer instruction according to its BL and the IA of each thread included in each instruction. This disclosure can realize register data transfer based on indirect addressing, improve the overall timing performance of the register data transfer system, reduce data transfer latency, and increase the flexibility of data transfer.

The invention discloses movable assembly type high-degree-of-freedom dieless double-sided incremental forming equipment and method. The equipment comprises two groups of forming units, namely a first forming unit A and a second forming unit B, the first forming unit A and the second forming unit B can be assembled together during use and can be detached after use, and the first forming unit A and the second forming unit B are both of a foldable storage structure; the foldable industrial mechanical arm forming units capable of cooperatively working are arranged on the two sides of the vertically-fixed to-be-machined plate, synchronous or cooperative incremental forming of the front face and the back face of the plate is achieved, the forming precision is improved, springback is reduced, the thickness distribution of the plate is improved, and therefore the forming requirements of complex curved surfaces and high-performance plates are met. The double-sided forming equipment is designed to be of a detachable and assemblable modular structure, so that the equipment can be packaged in a storage state in the transportation and deployment process and can be quickly unfolded and spliced on the use site, and the maneuverability and the application flexibility of the equipment are remarkably improved.

The invention provides a data lake table concurrent writing method and device, and belongs to the technical field of computers.The method comprises the steps that writing channels are dynamically selected according to the number of active writers of a target partition; for a write-in request entering a controlled concurrent write-in channel, the version number of a current partition is obtained firstly, data is written into a temporary storage area marked with the version number and a timestamp, and then the version number is tried to be increased progressively through atomic comparison exchange operation to submit the data; if the atomic comparison exchange operation fails, triggering an automatic retry mechanism, if retry succeeds, marking the corresponding data as a mergeable state, and if retry fails, transferring the data into an asynchronous repair channel; and dynamically triggering a merging task according to the number of the temporary files and a system load index, merging data in the temporary files according to a version number sequence, and atomically updating a main data version. According to the method, the problem of data consistency of single-partition concurrent writing is solved, and automatic switching and zero manual intervention of a dynamic routing mechanism can be realized.

The application provides a concrete mixing station scheduling strategy generation method and system combined with deep learning, and relates to the technical field of deep learning. First, concrete production task data set and mixing station equipment operation state data stream are acquired. Then, a concrete scheduling deep decision network is used to mine the implicit dependency relationship between the two, and an implicit dependency relationship strength matrix is generated. Based on the implicit dependency relationship strength matrix and a preset scheduling constraint rule library, an initial scheduling strategy set is generated. A conflict perception module is used to detect conflicts and dynamically adjust the initial scheduling strategy set, so as to obtain an optimized scheduling strategy set. Finally, equipment control instructions and material feeding timing instructions are generated according to the optimized scheduling strategy set and are executed. The application can realize automatic and intelligent scheduling of the concrete mixing station production process, improve production efficiency and quality, and reduce costs and risks.

The application provides a task execution method and device based on agent and MCP collaborative optimization, and relates to the technical field of intelligent scheduling, wherein the task execution method based on agent and MCP collaborative optimization comprises the following steps: acquiring a predefined graph structure, wherein the graph structure comprises one or more candidate super edges of each type of task, and the nodes in the candidate super edges are model context protocol (MCP) tools or agents for task execution; receiving a task instruction input by a user, and acquiring a context feature vector according to the graph structure and the task instruction; determining the matching scores of each candidate super edge in the graph structure according to the context feature vector; comparing the matching scores of the candidate super edges, and determining a target super edge from the candidate super edges; calling the MCP tools and / or agents corresponding to the target super edge to execute the task instruction, obtaining a task execution result, and realizing intelligent collaboration between multiple agents and MCP tools, thereby efficiently executing the task.

This invention discloses an intelligent review method for construction schemes based on adaptive multi-agent collaboration, belonging to the field of construction scheme review technology. It solves the technical problems of inability to deeply identify key technical points, lack of collaboration among different professional perspectives, absence of a supervisory layer and reflection mechanism, lack of quality monitoring during the review process, and the potential direct output of errors and logical contradictions. Through dynamic agent generation technology, the system can adaptively form agent review teams based on different scheme characteristics. Employing a multi-agent collaboration and shared blackboard mechanism, it simulates a multi-expert review scenario. By introducing a consensus decision-making algorithm based on confidence fusion, the system can autonomously negotiate and adjudicate conflicts of opinion between different agents or regulatory clauses, outputting a unified conclusion. Through the meta-agent layer, the system achieves real-time monitoring and reflection on its own review process, automatically verifying reasoning logic, identifying low-confidence conclusions, and triggering secondary reviews.

The application discloses a kind of security control method and system based on SDN architecture, it is related to security control technical field, including: user end is authenticated by sending first handshake request to edge computing device to realize the identity authentication of user end, and corresponding master key is issued to user end and SDN controller by edge computing device, user end is encrypted to access request by master key, and sends the encrypted access request to SDN controller, after SDN controller is parsed encrypted access request, determine its data transmission route path, i.e. which switch is sent to user end by the data stream collected by distributed data acquisition terminal the security control method based on SDN architecture provided by the application realizes the unified control of network, wisdom arrangement and collaborative scheduling, provides various automation, intelligent capacity, provides high-speed, reliable, safe communication service guarantee for power system.

This invention relates to the field of communication technology and discloses a rapid response method and system for optical power monitoring and fault testing linkage. The method includes receiving optical power monitoring data from an optical power monitoring service and generating a sequence of optical power change trajectory points; establishing a three-layer anchor network structure based on the trajectory point sequence and generating a decision link state mapping matrix based on the three-layer anchor network structure; receiving feedback information from an OTDR test service, generating a composite timing identifier, and performing association matching verification with the decision link state mapping matrix to obtain qualified feedback information; constructing a timing reconstruction buffer based on the qualified feedback information, performing handover synchronization control, receiving a handover completion signal from an OLP handover service, calculating response trajectory characteristics based on the handover completion signal, and performing adaptive decision parameter adjustment. This invention significantly improves the response efficiency and coordination accuracy of distributed optical network fault handling through spatialized state management and intelligent timing control.

The application relates to the technical field of unmanned aerial vehicle communication scheduling, and relates to an unmanned aerial vehicle group intelligent scheduling method based on edge computing, which comprises the following steps: receiving a scheduling instruction, confirming an unmanned aerial vehicle group scheduling environment based on the scheduling instruction, obtaining a spatial position information set by using an unmanned aerial vehicle node set, performing dynamic cluster division on the unmanned aerial vehicle node set based on the spatial position information set to obtain a plurality of unmanned aerial vehicle clusters, performing task scheduling on the unmanned aerial vehicle node set based on a cluster scheduling action set to obtain a scheduling feedback data set, obtaining model parameters based on updating a local scheduling model, and aggregating the model parameter set by using an edge computing server to obtain global scheduling model parameters. The application can optimize task scheduling between a plurality of unmanned aerial vehicles and an edge server, reduce packet loss, and reduce energy consumption.

The application belongs to the technical field of computer network distribution, and is especially a network traffic intelligent distribution method based on user demand, comprising the following steps: monitoring network usage of user equipment; evaluating current network resource status by monitoring real-time status of the network; establishing a user demand prediction model based on historical data and real-time monitored data, and calculating the best traffic distribution strategy; and establishing a feedback mechanism to continuously monitor the traffic distribution result. The application realizes intelligent scheduling of network traffic by real-time analysis of user demand and network status, maximally improves the utilization rate of network resources, and can dynamically adjust according to actual user demand, avoids resource waste or excessive congestion, and ensures network experience of high-priority tasks or services. The distribution method can dynamically optimize according to real-time network environment changes and user demand changes, and adapt to fluctuations in different network loads and service demands.