8results about How to "Reduce schedule pressure" patented technology

The invention discloses an adjustable resource aggregation scheduling method of a power distribution network. Comprising the following steps: obtaining adjustable resources of various demand sides, and classifying the adjustable resources based on a preset classification rule; extracting resource features of each category of adjustable resources, and establishing an adjustable resource model according to the resource features; adopting a clustering algorithm to aggregate all types of adjustable resource models to obtain a resource aggregate; constructing a multi-objective optimization model for the resource aggregate, and determining an objective function and a constraint condition of the multi-objective optimization model; and solving the multi-objective optimization model by adopting a Pareto solving method to obtain an optimal scheduling scheme. The aggregation efficiency and the resource utilization rate of distributed resources can be improved, the safe and stable operation level of a power grid is improved, and the dispatching pressure of the power grid is relieved.

The embodiment of the invention provides a timed task creation method and device, a medium and equipment, and the method comprises the steps: receiving a timed task creation request which carries a to-be-executed instruction; creating a target timed task according to the to-be-executed instruction; key information in the instruction to be executed is extracted, and a target identification code used for identifying a target timed task is constructed according to the key information; matching the target identification code with a historical identification code pre-stored in a task scheduler, wherein the historical identification code pre-creates a corresponding historical task instance; and if the historical identification code matched and consistent with the target identification code exists in the task scheduler, performing association mapping on the target timed task and an instance identifier of a historical task instance in the task scheduler. By utilizing the timed task creation method provided by the embodiment of the invention, a task scheduler does not need to retrieve task instances for multiple times when executing batch timed tasks, so that the scheduling pressure of the task scheduler is reduced.

The present invention relates to the field of automated processing technology, and in particular to an automatic allocation method, system, computer equipment and storage medium for airport parking stands, the method comprising the following steps: obtaining flight dynamic information, parking stand information and airlines' preference information for stands at a target airport; processing and integrating the obtained information to obtain a set of flights to be allocated stands, a set of flights to be occupied stands and a stand priority table; constructing a flight-stand weight coefficient matrix according to the stand priority table; determining an objective function for stand allocation according to the weight coefficient matrix and the set of flights to be allocated stands and the set of flights to be occupied stands, and constructing a stand allocation model, and solving it to obtain a stand allocation plan; constructing a rolling allocation model, and solving a rolling allocated stand allocation plan based on the stand allocation model after a preset update time. The present invention improves the effectiveness and real-time performance of stand allocation.

The application provides a warehouse virtual node generation method and device for emergency events, which comprises the following steps: taking the position of a warehouse center point corresponding to an emergency event instruction as a first warehouse node, and taking the position of an emergency distribution point as a second warehouse node; constructing a material complementary relationship network based on the material surplus and deficiency states among the second warehouse nodes; constructing an emergency event relationship tree based on the first warehouse node, the second warehouse nodes, and the material complementary relationship network corresponding to the second warehouse nodes; constructing a material allocation relationship network based on the material sources pointed to by the material allocation instructions issued by each second warehouse node, and constructing a material allocation graph based on the material allocation relationship network and the hierarchical connection relationship of the nodes in the emergency event relationship tree; determining a first target warehouse node and a second target warehouse node based on the material allocation graph, and performing a material entity allocation operation based on the first target warehouse node and the second target warehouse node. The application improves the emergency response efficiency.

The utility model relates to the technical field of building construction, and discloses a column head protection device for a post-filling frame column, which is an enclosure structure formed by sequentially clamping and connecting a plurality of unit pieces in sequence, each unit piece comprises a rectangular plate, a clamping groove located in one side of the rectangular plate and a T-shaped clamping block located on the other side of the rectangular plate. An inverted-T-shaped opening is formed in the clamping groove, and the clamping block can be clamped in the opening and rotate relative to the clamping groove. The column head protection device has the advantages that the rectangular plates, the clamping grooves and the clamping blocks form unit pieces, and then the unit pieces are sequentially connected to form the column head protection device. The protection device is easy to manufacture, can be produced in batches and can effectively prevent backfill from entering gaps of the steel bars. Meanwhile, the structure is convenient to disassemble, and the construction period pressure of a project can be greatly relieved.

The present application relates to the technical field of intelligent warehousing, automatic navigation and multi-robot collaborative scheduling, in particular to an AGV intelligent path planning method and system based on multi-layer modeling and adaptive scheduling; the method comprises the following steps: step S1: integrating all nodes for AGV operation in the warehouse environment to build a warehouse graph model; step S2: collecting the position, speed and state data of each AGV through the warehouse graph model, performing risk prediction and evaluation, and generating a real-time risk map; step S3: combining the warehouse graph model and the real-time risk map, introducing a weight adjustment mechanism adaptive to power, and outputting the comprehensive optimal path of each AGV; step S4: analyzing the virtual information field based on the warehouse graph model, defining the field value update rule, and outputting the current field value; step S5: analyzing the warehouse graph model, evaluating the comprehensive load rate of the corresponding warehouse environment, and optimizing the comprehensive optimal path combined with the current field value. The method can actively respond to unexpected situations, significantly reduce path conflicts, and improve operation safety.

The present application discloses a scheduling method, device and storage medium for an automated guided vehicle, and relates to automated guided vehicle scheduling technology. The specific scheme includes: obtaining a locking request of an automated guided vehicle for a target node on a travel path; if the target node has been locked, adding the automated guided vehicle to a waiting list corresponding to the target node; the waiting list is used to store the device identification of the automated guided vehicle waiting to lock the node and the travel direction when passing through the node; when obtaining a message that the target node is unlocked, a priority automated guided vehicle is determined from the waiting list corresponding to the target node using a reverse tracing method, and the priority automated guided vehicle is an automated guided vehicle that preferentially locks the target node; the priority automated guided vehicle locks the target node, and deletes the priority automated guided vehicle from the waiting list corresponding to the target node. The main purpose of the present application is to improve the scheduling efficiency, thereby improving the driving efficiency of the automated guided vehicle.

The invention relates to the field of offshore wind power management, in particular to a wind power plant area monitoring and early warning method and system based on multi-source information fusion, and the system comprises a submarine cable monitoring module and a power plant monitoring module, the submarine cable monitoring module is used for monitoring the state of submarine cables, delimiting a submarine cable protection area, and evaluating the operation risk of the submarine cables; the submarine cable overall insulation performance diagnosis module is used for monitoring all ship signals passing through a submarine cable protection area and establishing a submarine cable overall insulation performance diagnosis standard based on optical fiber temperature rise, and the power plant monitoring module is used for monitoring and adjusting the power generation state of a wind driven generator. The optical fiber characteristic information under typical fault types and fault development degrees is extracted, meanwhile, the safety performance of a generator is guaranteed, the wind energy utilization efficiency is optimized, it can be guaranteed that power transmission of a wind power plant is not affected by external factors, submarine cables are prevented from being damaged by ships and air temperatures, and remote monitoring and recognition of submarine cable monitoring targets are completed.