44 results about "Planning method" patented technology

The invention discloses an eVTOL cluster collaborative task and charging planning method based on space-time uncertainty, and the method comprises the following steps: S1, building an eVTOL dynamic model based on the flight dynamic characteristics of a four-rotor eVTOL, and building an eVTOL energy consumption and charging model based on the motor system efficiency and the battery discharge characteristics; s2, collaborative decision making and dynamic adjustment are carried out through reinforcement learning algorithms based on double-layer DQN, navigation point coordinates are output, and the reinforcement learning algorithms based on the double-layer DQN comprise an outer-layer DQN agent decision algorithm and an inner-layer DQN agent decision algorithm; s3, inputting the navigation point coordinates into an A * algorithm, and generating an optimal reference path by the A * algorithm according to a multi-dimensional cost function; s4, dynamically adjusting the course angle and the flight speed of the eVTOL according to the optimal reference path by utilizing a PID (Proportion Integration Differentiation) controller until the eVTOL reaches the target node; through multi-agent collaborative decision and online optimization, the space-time uncertainty in the urban airspace is effectively dealt with, and the maximization of the eVTOL cluster operation efficiency and economic benefits is realized.

The invention provides a multi-AGV path planning method in a flexible manufacturing workshop complex environment, and the method comprises the steps: firstly carrying out the modeling of a logistics process of a flexible manufacturing workshop based on a Petri net theory, and then designing a single-AGV path planning algorithm considering the congestion degree based on a constructed Petri net model of the logistics process of the flexible manufacturing workshop, a multi-AGV collision deadlock prevention strategy based on a Petri net is designed, finally, a multi-AGV path optimization algorithm considering an AGV motion state uncertainty scene is designed, a collision conflict prevention method is expanded, and the AGV is constrained by constructing a probability motion model according to a station arrival prediction probability. According to the method, the stability and the transportation efficiency of the multi-AGV system in a complex dynamic environment are remarkably improved, and an innovative solution is provided for realizing intelligent and efficient logistics in a flexible manufacturing workshop.

The application discloses an arc additive and subtractive composite manufacturing process planning method and system, and specific steps of the method include three-dimensional modeling, slicing and layering, collision interference detection, cutter accessible area correction, interference identification to obtain an initial machining sequence, and process merging optimization to obtain an optimal process planning scheme. Compared with the prior art, the application proposes a cutter accessible area correction method fusing arc additive process characteristics, and realizes initial partitioning of the component without interference. On this basis, process merging optimization is carried out with the optimization target of minimizing the number of additive and subtractive process alternations, and a process planning scheme satisfying the interference-free constraint is obtained. Compared with the prior art, the application effectively solves the technical problems of poor process planning adaptability, process redundancy, high alternation cost, single manufacturing process data acquisition, and lack of real-time monitoring and intelligent control in the arc additive and subtractive composite manufacturing.

This invention provides a multi-stage planning method and system for various types of energy stations that take into account mixed traffic flow. [Solution] A multi-stage planning method for various types of energy stations considering mixed traffic flow includes the steps of: constructing a traffic topology; considering a time-dependent road impedance function model and obtaining traffic conditions in the traffic topology of different types of energy vehicles; considering the travel needs of different types of energy vehicles and planning various different types of energy refueling routes for each; and constructing a mixed traffic flow model based on the obtained various different types of energy refueling routes for each type of energy vehicle with the goal of minimizing total costs, thereby completing the multi-stage planning for various types of energy stations.

The invention discloses a digital twin-driven LCD backlight plate production collaborative management and control method and system, and particularly relates to the technical field of production management. The method is used for solving the problems of resource mismatching, quality risk and efficiency loss caused by neglecting the capability difference of a production line in a specific process and a dynamic coupling relationship between process paths of products in use in an existing static planning method. A digital twin model corresponding to a physical production line is constructed, a process capability vector and a process path vector are integrated, a candidate production line set is identified based on vector data, a parameter resonance risk level is evaluated, a key bottleneck process in a process network topology is positioned, and a dynamic routing scheme is generated to avoid high-risk paths and bottlenecks. And a manufacturing execution system triggers real-time adjustment of a product production path to realize dynamic collaborative optimization of production resources and order demands.

To provide a planning program, a planning method, and an information processing apparatus capable of suppressing local congestion in a feeding order into a work line.SOLUTION: A planning program that causes a computer configured to sequentially specify the order of processing a plurality of types of objects in a work line for processing the plurality of types of objects, to execute processing of: specifying, as a basic value, a ratio of the number of objects of each of the types to the total number of the plurality of types of objects; calculating, as an appearance probability, a value obtained by subtracting the number of objects of the type of which a processing order has been determined, from a product of a process number and the basic value for each of the respective types; and changing a frequency of the processing for each of the types in accordance with a selection status of each of the types, in selecting a type to be processed next using the calculated appearance probability.SELECTED DRAWING: Figure 4

This application discloses a planning method, system, equipment, medium, and product for a new energy hydrogen production system based on multi-timescale risk quantification, relating to the field of new energy hydrogen production technology. The method includes: constructing a new energy hydrogen production system; constructing an operational model; constructing a risk quantification model; acquiring hourly predicted and historical power generation data of the new energy generator units; calculating the prediction error based on the predicted and historical power generation data; constructing constraints based on the operational model and the prediction error; constructing a planning mathematical model for the new energy hydrogen production system considering multi-timescale risks based on the constraints and the risk quantification model; and solving the planning mathematical model for the new energy hydrogen production system considering multi-timescale risks under the constraints, with the objective of minimizing the annual comprehensive risk level, to obtain the optimal planning scheme. This application improves the safety and reliability of the new energy hydrogen production system.

To provide a planning program, a planning method, and an information processing apparatus capable of planning a feeding order to a work line while suppressing man-hours of a user.SOLUTION: A planning program that causes a computer to execute processing of: generating a plurality of priority order patterns with priority orders assigned thereto, for a plurality of work groups, when processes selected from the plurality of work groups are sequentially performed on each of a plurality of objects; specifying the order of processes in the work group for each of the priority orders according to the priority orders of the plurality of priority order patterns; and specifying the order of the plurality of objects corresponding to a combination of the specified processes.SELECTED DRAWING: Figure 6

To create, accurately and with a low load, a tentative journal scheduled for a cash flow at acquisition of a budget containing a non-accounting title.SOLUTION: A cash flow schedule creation device of an embodiment includes budget accept processing means which accepts input of budget data containing a settlement term, a general account title containing a non-accounting title, an auxiliary title, and the amount of money for each month, and refers to a budget accepting journal definition master with the general account title and the auxiliary title as keys on the basis of the budget data, to create journal data scheduled for a cash flow containing occurrence date, a credit / debit classification, a general account title, an auxiliary title, an auxiliary breakdown title, and the amount of money calculated based on the amount of money for a target month of the budget data, a classification of the amount of money of a fund obtained from the budget accepting journal definition master, a fund allocation month, a fund allocation rate, and the calculated amount of money.SELECTED DRAWING: Figure 1

The invention relates to a reverse deduction power system planning method, which comprises the following steps of: obtaining a long-term annual total installed capacity target in a long-term planning layer; in the middle-term coordination layer, an adjusted long-term annual total installed capacity target is obtained; in the short-term verification layer, outputting a final long-term annual total installed capacity target; the long-term planning layer, the middle-term coordination layer and the short-term verification layer jointly form a long-term-middle-term-short-term three-layer coupling deduction framework, and iterative optimization circulation of verification is operated from bottom to top. According to the method, a long-term-middle-term-short-term three-layer coupling deduction framework is constructed, reverse solution is carried out with the carbon peak reaching target year as rigid constraint, the problem that long-term strategy and short-term operation are disjointed frequently occurring in traditional electric power planning is effectively solved, the planning result has perspectiveness, and the method is suitable for large-scale popularization and application. The scientificity and the performability of the planning scheme are obviously improved; the total economic cost of low-carbon transformation of the whole power industry is effectively reduced, and collaborative improvement of economy and reliability is achieved.

To realize a delivery planning in consideration of a status of an edge between nodes.SOLUTION: A delivery planning device includes: an edge calculation part which calculates edge information, which is a travel time or travel distance between nodes, for each pair of nodes in a plurality of nodes; and an algorithm calculation part for solving a delivery planning problem determining a route to provide a service to the plurality of nodes by a moving object departing from a certain location using a neural network that performs reinforcement learning using an actor-critic method. The algorithm calculation part solves the delivery planning problem using a feature quantity related to the edge information obtained by the edge calculation part.SELECTED DRAWING: Figure 1

To enable reduction of a processing load or processing time when planning a strip cutting operation for cutting product coils from original coils that may include defective parts.SOLUTION: A planning apparatus (1) comprises: an acquisition unit (11) for acquiring original coil information for each of one or more original coils; a first calculation unit (13) for adding up a normal part length, which is the length of a consecutive area having approximately the same normal part width and calculated for each normal part width of each original coil, for each normal part width of the one or more original coils; a second calculation unit (14) for calculating cuttable weight, which is the total weight of product coils that can be cut out from the one or more original coils and has a width corresponding to the normal part width, for each normal part width, based on the added normal part length; and a third calculation unit (15) for calculating a product coil width range corresponding to the cuttable weight that is equal to or greater than a predetermined reference weight.SELECTED DRAWING: Figure 1

Embodiments of the present application disclose a material demand planning method, equipment and medium. A period type table is created, wherein the period type table at least includes a period type name and a period span; based on the period type table, a period span related attribute is added in a preset independent demand to obtain a reference independent demand; and based on the period type table, a period span related attribute is added in a preset material dictionary table to obtain a reference material dictionary table; data in the reference independent demand is compared with data in the reference material dictionary table for processing, so as to determine a current material demand plan based on a comparison processing result; wherein the period span in the preset independent demand is related to material production or procurement days, and the period span in the preset material dictionary is related to material preparation time in advance. The above method reduces the workload of the developer.

The invention provides a production and marketing planning method and system, electronic equipment and a storage medium, and the method comprises the steps: constructing a plurality of first constraint conditions and first planning targets according to first planning information and first planning cost information under a first granularity; determining a first planning result based on a plurality of first constraint conditions and the first planning target; if the first planning result meets the preset total demand condition, a plurality of second constraint conditions and second planning targets are constructed according to the first planning result, second planning information under the second granularity and second planning cost information; wherein the time length indicated by the first granularity is greater than the time length indicated by the second granularity; determining a second planning result based on a plurality of second constraint conditions and a second planning target; and based on the second planning result and the second planning information, determining a production main plan, a package sale plan and a capacity utilization rate of each factory so as to realize the purposes of optimizing production efficiency and controlling cost.

The invention provides a power distribution network frame multi-stage planning method considering multi-type source load evolution development, and the method comprises the steps: analyzing the spatial-temporal evolution characteristics of a multi-type distributed power supply and a multi-type load based on the source load data of a to-be-planned region, building a multi-type source load evolution development prediction model, and carrying out the prediction of the multi-type source load evolution development; generating a source load typical scene oriented to a plurality of continuous planning level years; based on the typical source load scene of each planning level year, obtaining a multi-stage weak link evaluation result; a power distribution network frame multi-stage planning model is further constructed and solved, and a power distribution network frame multi-stage planning scheme is obtained; wherein the construction of the power distribution network frame multi-stage planning model comprises the following steps: establishing a multi-objective function, and taking the total planning cost, the voltage deviation and the line load rate as optimization objectives; constructing constraint conditions including an operation constraint, a network topology constraint and a multi-stage cooperative constraint; and topology continuity and evolution rationality of the power distribution network frame in multi-stage planning are realized.

Provided are a planning device, a planning method, and a planning program capable of realizing excellent planning as a whole even if a plurality of individual plans compete with each other. A planning device (10) according to one aspect of the present disclosure is characterized by comprising: an acquisition unit (11) that acquires a plurality of individual plans corresponding to the number of advertisers and / or campaigns, each individual plan being a plan for each advertiser and / or each campaign; an extraction unit (12) that extracts, from a total designated slot obtained by adding up respective designated slots of the plurality of individual plans, a competing slot exceeding an inventory slot; and a competition resolution unit (13) that determines which designated slot of the plurality of individual plans is to be allocated in the competing slot, on the basis of a predetermined rule, and eliminates the designated slot of another individual plan that has not been allocated.

The invention relates to the technical field of stamping, and discloses a stamping part and production line arrangement mapping matching planning method and system, and the system comprises a part feature intelligent recognition module which is used for recognizing the structural features of a to-be-stamped part; the material library construction and management module is configured to search a pre-constructed structured material and performance mapping database based on the structural features so as to obtain performance candidate data corresponding to the structural features; the material performance recommendation module is configured to obtain performance demand data of the to-be-stamped part based on the structural features of the to-be-stamped part, take the performance demand data as a target, match the performance demand data with the performance candidate data, exclude material marks which do not meet the performance data in the performance candidate data, and output a performance optimal mark recommendation list; and the trademark and price optimization module is configured to obtain a material trademark with the optimal cost performance through a cost performance algorithm based on the optimal trademark recommendation list and the material data. According to the invention, the efficiency and accuracy of material matching work are improved.

The invention provides a planning method and device for an energy consumption demand plan under the constraint of total energy consumption, and a medium, and belongs to the technical field of industrial software. The method comprises the following steps: obtaining a project number of a manufacturing enterprise in a preset time window, an order of each project and process information of each order; constructing a mixed integer linear programming model by taking the maximum weighted planning process number as a target function; designing a total energy consumption constraint of the model; comprising a total energy consumption constraint that the total energy consumption of working procedures of planned production does not exceed a power quota, a working procedure sequence constraint that the working procedures in the same order are executed according to a specified sequence, an order completion constraint that the order is considered to be completed when all the working procedures of the order are selected and executed, and an assembly level constraint that the orders in the same project are executed according to assembly levels in sequence; solving the mixed integer linear programming model according to the production related parameters to obtain a process set; and generating an energy consumption demand plan of the manufacturing enterprise. The problem that the prior art lacks energy consumption demand adjustment and decision-making capabilities can be solved.

The invention relates to a planning method for planning a configuration structure and a procedure for a production unit for implementing a production process on a product in the production unit, wherein in a definition step 100 the product with the associated production information is defined, wherein in a selection step 200 a selection of selection substructures is made, wherein the selection substructures are suitable for use in the production process, and wherein the selection substructures form a set of selection substructures; wherein in a configuration step 300 a planning configuration structure of the production unit is generated from a plurality of target substructures, wherein the target substructures are formed from a subset of the selection substructures of the set of selection structures;wherein in a procedure generation step 400 a planning procedure with procedure steps for implementing the production process is formed with the planning configuration structure of the production unit; wherein in a coordination step 500 the planning procedure and the planning configuration structure are coordinated with each other in order to obtain the configuration structure and the procedure for the production unit for implementing the production process.

A product arrangement planning system (1) according to the present invention is characterized by being provided with a product arrangement plan generation unit (22) that refers to shipping schedule information (33) and picking method information (32), the shipping schedule information (33) being information in which scheduled shipping amounts per unit period of a plurality of products handled in a logistics warehouse are stored, and the picking method information (32) being information in which at least one of processing efficiency and an upper limit of personnel who can be engaged is stored for each of a plurality of picking methods carried out in the logistics warehouse, and that assigns picking methods in the picking method information to the products on the basis of variations in the scheduled shipping amounts of the products among the individual unit periods in the shipping schedule information, thereby generating a product arrangement plan for a product arrangement period longer than the unit period.

The application provides a material demand planning method, system, device and medium, and relates to the technical field of material management. The method comprises the following steps: obtaining production consumption information, inventory information and in-transit logistics information of a target material; determining a basic demand quantity of the target material in a preset period and a material demand index according to the production consumption information and the inventory information of the target material; correcting the basic demand quantity according to the material demand index to obtain a target demand quantity of the target material; in the case that the target demand quantity is greater than 0, determining a delivery time corresponding to the target material according to the in-transit logistics information of the target material; and formulating a material demand plan of the target material by a pre-constructed material decision model according to the target demand quantity and the delivery time. The method can reduce the dependence on manual statistics, improve the accuracy and timeliness of the formulation of the material demand plan.

To easily execute cast frame layout consolidated to a cast frame in a short time.SOLUTION: A plan creation apparatus (100) comprises: an initial set creation unit (34) creating a plurality of initial sets (C0) in such a manner that the breakdowns of an included virtual steel material (s) are changed; a dual problem solving unit (35) solving the dual optimum solution of dual problems of set partitioning problems; a promising set extraction unit (36) having a candidate set creation unit (361) creating candidate sets and a calculation unit (362) calculating contracted expenses (ηj) of the candidate sets, and extracting all the candidate sets in which the contracted expenses satisfy prescribed standards as promising sets (Ce); and an original problem solving unit (37) solving the optimum solution of the set partitioning problems based on the initial sets and the promising sets.SELECTED DRAWING: Figure 4

The application provides a cross-industry multi-agent manufacturing task planning method, system, storage medium and electronic equipment for overseas small-batch orders, and relates to the technical field of manufacturing task planning. The application comprises the following steps: acquiring task planning resources and overseas small-batch orders; constructing a CIMA-MTP model according to the task planning resources and overseas small-batch orders, with the aim of minimizing the comprehensive cost of all overseas small-batch orders; and solving the CIMA-MTP model by using an epga algorithm to obtain the task planning result of the overseas small-batch orders. The product demand of overseas small-batch orders is small, the number is large, and the transportation situation is complex. In order to enable manufacturing enterprises to reasonably plan a large number of overseas small-batch orders, the CIMA-MTP model is established, and the genetic algorithm after optimization is used for solving, which is beneficial to finding a near-optimal solution.

The invention discloses a distribution path planning method and device, a program product, equipment and a storage medium, and relates to the technical field of logistics, and the method comprises the steps: obtaining order information of new and old commodity replacement, generating a distribution task and a recovery task, and extracting a vehicle estimated driving mileage, a vehicle loading capacity and an estimated service duration; determining that the loading feasibility of the vehicle in each stage is feasible as a first constraint condition, determining the service duration of the mounting stage, the service duration of the dismounting stage and the service duration of the carrying stage based on the estimated service duration, and taking that the service duration does not exceed the customer reservation service time window as a second constraint condition; and based on the first constraint condition, the second constraint condition and the target optimization function, obtaining a distribution path planning scheme of new and old commodity replacement. The purpose of improving the execution reliability of distribution path planning and the logistics collaboration level and the user experience in a new and old commodity replacement business scene is achieved.

The purpose of the present invention is to make a production plan in consideration of transportation efficiency and transportation capacity constraints. This production / transportation plan creation apparatus comprises a transportation plan generation unit and a production plan generation unit. The transportation plan generation unit: creates a shipping candidate date of each order; creates transportation draft plans in each of which orders having the same shipping candidate date on the same route are bundled; calculates a vehicle type and the number of vehicles for each of the transportation draft plans; excludes a transportation draft plan for which a vehicle cannot be arranged; and calculates a transportation cost for a transportation plan for which a vehicle can be arranged. The production plan generation unit: creates production completion time limit information for each draft from the transportation draft plans; makes a production plan that is in time for the production completion time limit information of each of the drafts; and calculates a production / stock cost.

The application provides a planning method and a computer readable storage medium. The planning method is used for a thermal power construction project, and the planning method comprises the following steps: obtaining data documents, wherein the data documents comprise a first data document of the thermal power construction project and a second data document of a construction contract; preprocessing the data documents to obtain analyzable text units; performing analysis and processing on the analyzable text units to obtain a construction knowledge graph and a contract constraint condition; simulating and deducing the thermal power construction project based on the construction knowledge graph and the contract constraint condition to obtain a multi-level progress plan of construction; obtaining abnormal information in the multi-level progress plan, analyzing and processing the abnormal information, and generating a processing opinion report; modifying the multi-level progress plan based on the processing opinion report to obtain a final construction plan; and wherein the analyzable text units comprise first sub-analyzable text units and second sub-analyzable text units.