38 results about "Process selection" patented technology

The invention discloses a workshop scheduling method considering AGV transportation time based on a near-end strategy optimization algorithm, and the method comprises the steps: obtaining an action space, a process local state, a machine local state and an AGV local state according to a current workshop state, carrying out the coding in sequence, and obtaining a process state feature, a machine state feature and an AGV state feature; inputting the state characteristics into a trained strategy network for decoding to obtain action values of the process action, the machine action and the AGV action; the method comprises the following steps: performing normalization processing on an action value, selecting and executing a process selection action, a machine selection action and an AGV selection action with the highest probability in an action space, updating a current workshop environment based on the executed actions, and repeating the steps until all scheduling processes are completed, so that the expansibility of an algorithm and the overall operation efficiency are improved.

The invention discloses a galvanized steel pipe coating process control method and system, and the method comprises the steps: obtaining galvanized layer integrity prediction information based on obtained galvanizing process selection information and a preset galvanized layer integrity prediction model; based on the obtained welding process control parameters and a preset welding quality prediction model, welding quality prediction information is obtained; analyzing in combination with the zinc coating integrity prediction information and the welding quality prediction information, judging whether the prediction information meets a preset process control index or not, and obtaining parameter model input information according to a judgment result; inputting the parameter model input information into a preset fusion process control model to obtain parameter control information and coating reference control information; on the basis of the parameter control information and the coating reference control information, the galvanizing welding process and the coating process of the galvanized steel pipe are controlled; the galvanized steel pipe coating technology is more reliable and efficient, and the quality and performance of the galvanized steel pipe are improved.

The invention provides a problem processing method and device based on a large language model, and the method comprises the steps: carrying out the intention recognition of an input problem, determining the intention information of the input problem, and determining an intention processing flow corresponding to the processing intention information; when it is determined that the intention processing flow is an agent flow, determining a reply result of the input question based on an agent large language model and parameter information extracted from the target function interface; and under the condition that the intention processing flow is determined to be flow arrangement, determining a processing flow corresponding to the intention information, solving the input problem based on the processing flow corresponding to the intention information, and determining a reply result of the input problem. Through multi-level understanding, process selection, information retrieval and decomposition processing, the accuracy and correlation of the output result of the large language model are effectively improved. According to the structured processing mode, the system can generate high-quality answers better meeting user requirements, so that the user experience is greatly improved.

A model deployment tuning system (MDTS) receives a trained ML model, specified constraints, and model evaluation data and applies a plurality of model utilization techniques to the trained ML model to produce a plurality of useable model versions of the trained ML model. The MDTS executes each of the plurality of useable model versions of the trained ML models on a plurality of different compute instance types using the model evaluation data to produce model evaluation results for a plurality of different combinations. The MDTS filters the model evaluation results based on the specified constraints to indicate one or more of the different combinations satisfying the specified constraints. The MDTS deploys one of the plurality of useable model versions of the trained ML model to a compute instance types according to a selected combination satisfying the specified constraints.

The invention discloses an application process monitoring method and device, a medium and a computer program product, and relates to the technical field of computers. Determining a weight score of the application process according to the business logic weight of the application process and the priority weight of the application process, determining a memory depletion score of the application process according to the process memory occupation parameter of the application process and the weight score of the application process so as to determine a target process, and executing a memory recovery operation on the target process, the process selection mode of the memory depletion terminator mechanism is optimized to meet the business logic requirement, so that the situation that the key process of the business application is shut down when the system memory is recovered is reduced, the normal operation of the system is guaranteed, and the user experience is improved.

This invention discloses a device and method for generating a simulation system for pure water preparation in a semiconductor factory. The device includes: a process generation module, which acquires raw water parameters and pure water requirement parameters, and generates a pure water preparation process path and process parameters based on a pure water process selection unit; and a dynamic pure water preparation simulation system built based on the pure water preparation process path and process parameters; and a parameter configuration module, which embeds a functional material configuration quantity calculation unit into the dynamic pure water preparation simulation system, and configures the functional materials for each process by combining process parameters, pure water requirement parameters, and basic properties of functional materials. The generation device provided by this invention can significantly improve the efficiency and parameter accuracy of pure water preparation process design in semiconductor factories, calculate the optimal configuration quantity of functional materials required for each process, and reduce the construction cost of the pure water preparation system in a semiconductor factory.

The invention relates to the technical field of industrial scheduling, and discloses a flexible job shop self-organizing scheduling-oriented multi-target dual hyper-heuristic method, which comprises the following steps of: generating a process selection rule and an interval selection rule by utilizing a genetic programming rule, and generating a rule set; based on a deep reinforcement learning method, a dynamic decision strategy is constructed in combination with a rule set, and multi-step action sequence optimization is carried out when self-organizing scheduling is triggered; and generating an instance through random combination of parameter indexes of a predetermined dynamic event, and calculating a performance index according to the generated instance to realize feasibility verification. Through a dynamic collaborative optimization mechanism of self-organizing scheduling, an autonomous decision closed loop can be realized under multiple disturbances such as equipment failure, processing fluctuation, new order insertion and the like, and the self-healing capability, response speed and anti-interference toughness of a production system in a dynamic environment are remarkably improved; and an intelligent decision-making scheme with an autonomous evolution capability is provided for a complex scheduling problem in an intelligent manufacturing scene.

The invention relates to the field of data processing, in particular to a real-time data acquisition method and system based on the Internet of Things. The method comprises the following steps: establishing corresponding processes for data collected by a plurality of sensors, wherein the processes comprise process arrival time and service time; obtaining a process sequence according to the process arrival time and the service time, and calculating a process selection parameter according to the process sequence and the service time; reordering the process sequence to obtain the queue jumping times of the processes, and calculating the yielding degree of the processes according to the process selection parameters and the queue jumping times of the processes; source service parameters of the processes are calculated according to the yielding degrees of the processes, then service grade parameters of the processes are calculated, sorting of the process sequences is further adjusted according to the service grade parameters, the source service parameters represent the overall queue jumping degrees of the sensors corresponding to the processes, and the service grade parameters represent the priority service degrees of the processes. The problem of low data acquisition and processing efficiency in the prior art is effectively solved.

An image processing system and an image processing program are provided that can appropriately perform image processing desired by a user. [Solution] An image processing system includes a process selection means for selecting a process corresponding to each of a plurality of tasks constituting image processing requested by a user, and a process execution means for connecting and executing the processes selected by the process selection means. The image processing system may also include an input means for a user to input a query corresponding to the desired image processing, and a decomposition means for decomposing a task included in the query input by the input means into a plurality of known tasks.

The invention relates to the technical field of medical equipment, in particular to an operation method of medical equipment, an auxiliary system and a storage medium. The operation method of the medical equipment comprises the steps that a display interface is entered, the display interface comprises a first display area, a second display area and a process selection area arranged between the first display area and the second display area, and the process selection area is used for selecting use functions of the medical equipment; the first display interface is used for displaying an ultrasonic image collected by medical equipment, and the second display interface is used for displaying operation guidance for collecting the ultrasonic image; receiving an operation instruction of a user on the process selection area; and in response to the operation instruction, entering a result interface corresponding to the operation instruction. Through the method, the operation guidance can be displayed while the image acquisition process is started, and the use function of the medical equipment can be selected by using the process selection area, so that the availability of the medical equipment is improved.

An image processing system has a process selection circuitry configured to select respective processes corresponding to each of plural tasks that constitute image processing requested by a user, and a process execution circuitry configured to connect and perform the respective processes selected by the process selection circuitry.

Various aspects of the present disclosure relate to enabling a network to implement the use of delay status information when performing certain reporting (delay status reports, or DSR) and / or transmission procedures (logical channel prioritization (LCP) procedures). For example, hybrid automatic repeat request (HARQ) processes may be adapted to prioritize delay-critical data units.

The invention discloses a profile control and displacement process selection method for controlling bottom water invasion of a Jurassic oil reservoir. The method comprises the following steps: firstly, collecting data of accumulative oil production, accumulative water production, accumulative injection rate, geological reserves, a crude oil volume coefficient, a formation water volume coefficient, a comprehensive compression coefficient, a crude oil original volume coefficient, formation original pressure and current oil reservoir pressure of an oil reservoir, then calculating the water invasion amount of a block over the years by utilizing the collected data, and drawing a curve; s2, selecting a profile control and displacement process according to the water invasion value and the water invasion curve trend of the block over the years; and S3, carrying out profile control and displacement on the well group, needing profile control and displacement, of the Jurassic bottom water reservoir according to the profile control and displacement process selected in the step S2. According to the method, the water invasion condition of the bottom water of the Jurassic oil reservoir is calculated and represented, different states of the water invasion of the bottom water oil reservoir are calculated, and different profile control and displacement processes are screened according to the different states of the water invasion of the bottom water oil reservoir, so that the purposes of controlling the water invasion of the bottom water and inhibiting the water content are achieved.

The present application relates to a control method of a home appliance, the home appliance having: an input unit that receives a control command from a user; and a display unit that displays a first process and a second process selectable by a user, and sequentially displays each process according to a preset display order when a request for displaying the selectable process is received by means of an input unit, the control method comprising: a process selection step of selecting a process selected by the user; selecting any one of the processes displayed on the display unit by means of the input unit; an execution step: executing the selected process; and a display order setting step of changing a preset display order based on the cumulative number of execution times of the first process and the cumulative number of execution times of the second process.

The invention relates to a process selection method and system based on compost full-life-cycle comprehensive environmental influence, and the method comprises the following steps: obtaining full-life-cycle data of a selected compost process, the full-life-cycle data comprising raw material transportation data, organic fertilizer production process data, application stage data and comprehensive data; calculating environmental comprehensive influence factors of the full life cycle of each composting process according to the full life cycle data; wherein the full life cycle comprises a transportation stage, a production stage and an application stage; the environmental comprehensive influence factors comprise energy consumption, greenhouse gas emission, environmental acidification emission and eutrophication emission; in combination with a preset environmental comprehensive influence factor weight coefficient and the environmental comprehensive influence factor of the full life cycle of each composting process, calculating the environmental comprehensive influence of each composting process; and comparing the environmental comprehensive influence of each composting process, and selecting the composting process for production.

The present invention provides a method for selecting pickling processes based on raw material characteristics, comprising: constructing a mathematical model Q for pickling difficulty classification; according to the relative thickness of the oxide scale under the effect of the coiling temperature, the relative thickness of the oxide scale affected by the SiO2 and FeSiO4 layers, h c A mathematical model of the relative thickness of iron oxide scale under different hot rolling processes is constructed for the relative thickness of iron oxide scale affected by the Mn-rich layer. According to experimental data and on-site production practice, a database of the pickling difficulty level and pickling process of the pickling unit used is established; the Q value is calculated, the Q value is brought into the database, the pickling difficulty level of the Q value is determined, and a pickling process adapted to it is selected. The present invention fully considers the influence of alloy composition, hot rolling process and iron oxide scale thickness on the pickling process difficulty, re-rates the pickling difficulty based on the above reference factors, and selects a more suitable pickling process, which is conducive to the staff to quickly adjust the pickling process.

An example welding type system includes: a welding power circuit having a control input and a welding type power output; and a controller connected to the feedback circuit, wherein the controller comprises: a tuning module configured to, at least at a start of a weld, command a plurality of output parameters that are selected to determine what process is appropriate for the weld; a feedback module configured to monitor feedback while the tuning module is commanding the plurality of output parameters; and a process selection module configured to automatically select a welding process from a plurality of welding processes based on the feedback from the feedback module.

1. The name of the design product: intelligent call management graphical user interface for electronic equipment. 2. The use of the design product: for an electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic equipment is a conventional design, and other views are omitted. 6. The use of the graphical user interface: for intelligent call management, the front view clicks the drop-down arrow on the right side of "process selection" to display change state diagram 1, change state diagram 1 clicks "two-round dialogue" to display change state diagram 2, and change state diagram 2 clicks the drop-down arrow on the right side of "call group" to display change state diagram 3.

The present disclosure relates to a washing machine having an induction heater and a control method thereof, and more particularly, to a washing machine capable of heating a drum by means of an induction heater, and a control method of the washing machine. The washing machine includes a tub, a drum rotatably installed in the tub and holding laundry, an induction heater provided in the tub and configured to heat an outer circumferential surface of the drum, a motor configured to drive to rotate the drum, a user interface including a process selection unit configured to allow a user to select one of processes and an option selection unit configured to allow the user to select option information related to the process selected from the process selection unit, and a processor configured to control an RPM of the drum and driving of the induction heater, wherein the process selection unit includes a default washing-drying process of heating-spinning, the heating-spinning being configured to heat the drum by driving the induction heater while the drum is rotated in spinning.

The present invention relates to the field of data processing, and particularly to a method and system for real-time data acquisition based on the Internet of Things. The method includes: establishing corresponding processes for the data collected by multiple sensors, where the processes include process arrival times and service times; obtaining a process sequence based on the process arrival times and service times, and calculating process selection parameters according to the process sequence and service times; reordering the process sequence to obtain the number of times a process is cut in line, and calculating the concession degree of the process according to the process selection parameter and the number of times cut in line of the process; calculating the source service parameter of the process according to the concession degree of the process, and further calculating the service level parameter of the process, and further adjusting the sorting of the process sequence according to the service level parameter. The source service parameter represents the overall degree of being cut in line of the sensor corresponding to the process, and the service level parameter represents the degree of priority service of the process. The present invention effectively solves the problem of low efficiency in data acquisition and processing in the prior art.

The invention relates to a tunnel hole slag product production process selection method, which comprises the steps of determining weight coefficients of a plurality of first evaluation factors of a plurality of first process schemes and weight coefficients of a plurality of second evaluation factors of a plurality of second process schemes, according to feature vector values of a plurality of first evaluation factors of the plurality of first process schemes and feature vector values of a plurality of second evaluation factors of the plurality of second process schemes, calculating a total sorting vector of the plurality of first process schemes and a total sorting vector of the plurality of second process schemes; combining the optimal scheme in the first process scheme with the optimal scheme in the second process scheme to obtain the optimal scheme of the production process of the tunnel hole slag product; according to the production process selection method of the tunnel hole slag product, the mathematical model for optimal selection of the production process is established, so that quantitative decision reference is provided, the accuracy and applicability of experience selection are ensured, and the situation that process rectification is carried out in the later period due to improper process selection is improved.

The present invention provides a technology for improving processing efficiency, relating to a substrate processing apparatus, a method for manufacturing a semiconductor device, and a program. The technology provided by the present invention comprises: a reactor capable of performing multiple processes on a substrate; a transport chamber adjacent to the plurality of reactors; a transport robot disposed within the transport chamber and capable of transporting a substrate to each reactor; a storage unit that records category information corresponding to each process and processing time information corresponding to each category information; a calculation unit that calculates the ratio of processing time of a predetermined process within the time matching the processing time information; a process selection unit that selects a reactor for performing the predetermined process based on the ratio; and a process setting unit that sets the predetermined process so that the selected reactor can perform the predetermined process.

An example welding type system includes: a welding power circuit having a control input and a welding type power output; a feedback circuit configured to provide feedback regarding the welding type power output or a weld produced using the welding type power output; and a controller connected to the feedback circuit, wherein the controller includes a parameter setting module and a process selection module, the process selection module configured to automatically select a welding process from a plurality of welding processes based on the feedback from the feedback circuit or one or more welding parameters set by the parameter setting module.

The present application relates to the technical field of workshop scheduling, in particular to a flexible job shop dynamic scheduling optimization method and system considering material preparation plan. The scheduling optimization method comprises reading of fault machine information, obtaining of to-be-adjusted process set and formation of optimal combined scheduling scheme. When the scheduling optimization method of the present application is used for material preparation plan adjustment problem, the scheduler can quickly establish a flexible job shop dynamic scheduling model with material preparation plan associated adjustment in real time when machine fault occurs, obtain a rescheduling scheme according to the proposed improved affected process selection method, i.e. multi-stage based cooperative game strategy rescheduling optimization method, the rescheduling scheme has good robustness and stability, and on the basis of maintaining the original pre-scheduling target, the material preparation plan adjustment is minimized to improve production efficiency.

The embodiment of the present application provides a wireless communication method, a terminal device and a network device, the method comprising: the terminal device selects a first HARQ process from multiple HARQ processes corresponding to a CG resource according to a HARQ process selection rule, and transmits data on the first HARQ process through the CG resource. Thus, the HARQ process can be selected when the CG resource corresponds to multiple available HARQ processes.

Various aspects of the present disclosure relate to enabling a network to implement the use of delay status information when performing certain reporting (delay status reports, or DSR) and / or transmission procedures (logical channel prioritization (LCP) procedures). For example, hybrid automatic repeat request (HARQ) processes may be adapted to prioritize delay-critical data units.

The present invention discloses an application process monitoring method, device, medium and computer program product, which relate to the field of computer technology. When monitoring that the memory occupancy status of a target device meets the triggering condition of a memory exhaustion terminator, the weight score of the application process is determined according to the business logic weight of the application process and the priority weight of the application process, and the memory exhaustion score of the application process is determined according to the process memory occupancy parameter of the application process and the weight score of the application process to determine the target process, and a memory recovery operation is performed on the target process. The process selection method of the memory exhaustion terminator mechanism is optimized to make it meet the business logic requirements, thereby reducing the situation where key processes of business applications are shut down when the system memory is recovered, ensuring the normal operation of the system, and improving the user experience.

The invention discloses a high-intelligence and high-automation process logic conversion control method, which is used for realizing SIS interlocking protection among systems and testing each valve, and defines that only one state may occur in a process disposal process, process selection, oven baking, oven stopping, airtightness, cooling, feeding, operation, operation stopping and maintenance in STD conversion. Through logic limitation of the SIS system, synchronous operation of a plurality of process scenes is avoided, and the method has the technical characteristics that the safety of the SIS system and the process can be effectively guaranteed, logic control participates in automatic control, and the possibility of artificial judgment errors is reduced.

The invention belongs to the technical field of semiconductor display, and particularly relates to a Micro-LED display module design method which comprises the steps of system-level design index input and multi-level decomposition, pixel circuit automatic synthesis and optimization, display array automatic generation and physical design and the like. User macroscopic indexes are automatically and quantitatively decomposed into device-level, circuit-level and process-level executable parameters, a design starting point is ensured to consider a manufacturing constraint and multi-field coupling relationship depending on a collaborative design library, a forward design process from a system to a process is realized, circuit design automatically conforms to process capability, and the design efficiency is improved. Process selection directly serves a system performance goal. Parallel cooperative work is carried out under a unified index system and a model library, and the design period is remarkably shortened.