200 results about "Process module" patented technology

The invention provides an intelligent boxing method and system. The intelligent boxing method comprises the steps of obtaining boxing task information and generating a boxing scheme. The boxing task information comprises the size, the weight, the stacking limitation, the number and the priority of each cargo, and the size, the bearing capacity and the occupation state of each loading unit. And under the condition that the size, bearing and stacking constraint conditions are met, a plurality of candidate boxing combinations are generated, the loading utilization rate, the residual space distribution and the shape matching degree are evaluated based on a preset optimization target, and an optimal scheme is selected. The system comprises an input terminal, a task information receiving module, a data storage module, a task and scheme storage module, an operation processing module and a final boxing scheme generation module. According to the method, multi-dimensional constraint matching and weight balance are considered, and space waste and transportation risks are avoided; the maximum greedy algorithm and the adaptive large neighborhood search optimization are combined to realize the combination of automation and experience. The method can be expanded to batch task scheduling and grouping sequencing, so that the calculation complexity is reduced, and the overall boxing and transportation efficiency is improved.

The invention discloses a digital archive supervision system based on a block chain, and relates to the field of digital archive supervision. The system comprises an archive collection module, a block chain pre-processing module, a dynamic consensus module, an intelligent contract module and a supervision module. The archive collection module preprocesses heterogeneous data through a CRNN algorithm to generate a standard data set; the pre-processing module adopts the combination of SM4 and homomorphic encryption to protect data; the dynamic consensus module dynamically adjusts the right based on the node credit score, the main chain uses a PBFT method enhanced by a threshold signature to ensure the safety of core operation, and the side chain uses DPoS-RAFT to process high-frequency business; the intelligent contract module constructs a Merkle tree through block hash, and performs automatic hash verification and triggers exception handling during access; the supervision module realizes layered examination and approval of the unfreezing application by using a decision tree algorithm; according to the system, through cooperation of multiple modules, full-process block chaining of archives from collection, encryption, consensus to supervision is achieved, and the system is suitable for credible storage and supervision scenes of digital archives.

The invention discloses a reconfigurable casting process module hierarchical control method, which comprises the following steps of: firstly, acquiring a multi-source sensor data stream generated in a casting task execution process, the data comprising key process parameters such as temperature, pressure, flow velocity and the like; based on this data stream, an initial condition feature set for characterizing the dynamic condition is determined. And then, carrying out segmented working condition optimization processing on the feature set by utilizing a hierarchical decoupling regulation model, and obtaining an optimized working condition feature set through system coupling dissociation and random disturbance stripping. And finally, performing feature reconstruction processing on the optimization feature set, and generating an optimization control instruction accurately matched with the current casting process to adjust the pouring speed, the cooling rate or the pressure parameter in real time, thereby realizing closed-loop optimization control of the casting process. According to the method, the control precision and the process stability under complex working conditions are effectively improved.

The invention discloses a low-code platform design system based on modularization and a dynamic extension component, and relates to the technical field of low-code development, and the system comprises a form module which is used for standardly defining a data model and dynamically rendering a user interface, realizing unification of form configuration through a structured metadata specification, and establishing a form module; bidirectional binding of the view and the data model is realized; the process module is used for realizing modeling, execution and state management of a business process, supporting automatic task scheduling and multi-instance management based on standardized process elements, and keeping consistency of a process state through an increment synchronization mechanism; and the data processing module is used for cooperatively managing platform data resources, supporting dynamic expansion and decoupling dependence between the form module and the process module through an event-driven mechanism. According to the method, the strong binding relationship between the decoupling form and the process is established, the reusability of the process module is improved, and the process module is independent of the form and can independently provide API service to the outside, so that the method is adaptive to more business scenes.

The invention relates to the technical field of plasma numerical simulation, in particular to a data processing system suitable for a two-dimensional boundary plasma fluid calculation program SOLPS. According to the technical scheme, the system comprises a simulation calculation convergence state analysis module, an experiment and simulation comparison module and a simulation result processing module. According to the method, one-key data processing is realized through an automatic script and a graphical interface, and the limitation of a specific computing environment is broken through; the system can quantitatively analyze the simulation convergence state, provides a direct comparison function of experiment and simulation data, and provides a reliable basis for transport coefficient calibration. Meanwhile, flexible customization of various visualization forms is supported, the problems that a traditional method is tedious in operation, low in efficiency and insufficient in flexibility are effectively solved, and the efficiency, accuracy and reliability of data processing are comprehensively improved.

The invention discloses an in-memory computing architecture simulation method, tool and system, and belongs to the technical field of computers. The method comprises the steps that a plurality of instruction sequences input in parallel are distributed to processing modules running in parallel in an in-memory computing architecture, each processing module comprises a plurality of execution units, at least one of the execution units has a non-linear data computing function, and the non-linear data computing function corresponds to the non-linear data computing function; at least two execution units in the plurality of execution units run in parallel; each processing module is scheduled to parse each distributed instruction sequence into a plurality of operation instructions, and the operation instructions comprise at least one nonlinear calculation instruction; and by scheduling the execution unit in each processing module to process the corresponding operation instruction, simulating the instruction processing operation of the execution unit.

The invention provides a hard springback processing system and method for precision stamping parts, and belongs to the technical field of precision stamping part manufacturing, and the system comprises a springback value detection module, a data processing module, a multi-field cooperative execution module and a closed loop feedback module. The springback value detection module collects springback value distribution data of the surface of the stamping part in a non-contact mode through a multispectral camera, and a visual numerical matrix is generated by combining color scale bar calibration. And the data processing module fuses finite element simulation and a machine learning model, and calculates the refined compensation amount of each region. The method comprises the steps of detecting springback value distribution after demolding, generating a compensation strategy, performing multi-field cooperative compensation and performing real-time feedback optimization. According to the invention, accurate identification and dynamic compensation of the micron-sized springback value are realized, the problems of low detection precision, single compensation mechanism and poor adaptability in the prior art are solved, elastic springback is effectively inhibited, the shape and size precision of a workpiece are improved, manual correction links are reduced, and the production efficiency and the product qualification rate are improved.

The invention relates to the field of super-computing cluster operation and maintenance, in particular to a super-computing cluster-oriented in-band and out-of-band collaborative operation and maintenance management system, which comprises a data acquisition module, a data processing module, a collaborative decision-making module and an execution control module, the data acquisition module adopts a minimum weight priority scheduling algorithm to distribute task queues, matches tasks and equipment in combination with a consistent Hash algorithm, and acquires in-band and out-of-band parameter states, the data processing module maps data to a twin base through a digital twin algorithm, space-time association anomaly detection, a supercomputing operation and maintenance knowledge graph and an entity link algorithm are introduced, and the data processing module performs data processing on the twin base. Forming a global data set with uniform time, space and semantics; and the collaborative decision-making module adjusts in-band and out-of-band weights based on the dynamic weight model, constructs an energy consumption prediction and fault risk assessment function, and performs reinforcement learning optimization. And the execution control module generates inspection tasks according to risk classification, plans a path by using an improved A * algorithm, optimizes the air conditioner load and the server power in combination with energy consumption prediction, and improves the operation and maintenance efficiency and the energy utilization efficiency.

The invention discloses a building material planning management system based on a BIM technology, and relates to the technical field of BIM, and the system comprises the steps: a data collection module collects the full-process multi-source data of materials from purchasing to using; the unified coding module distributes a unique electronic identification code containing a category, a supplier and a full-process traceability index to each building material; the data storage and processing module cleans and converts the data and forms a standardized full-life-cycle database; the BIM integration module establishes one-to-one correspondence between material entities and BIM model components through electronic identification codes, and full-process data tracing calling and circulation state visualization are achieved; the interaction module provides a multi-terminal interface to support cooperation of multiple participants. According to the invention, the problems of information isolated island and traceability fault of traditional material management are solved, the management and control efficiency and collaboration are improved, and cost reduction and benefit increase of the construction project are facilitated.

The invention provides a cross-file semantic association analysis system based on a hierarchical rule engine. The cross-file semantic association analysis system comprises a plurality of modules, wherein a code compilation analysis module is used for converting an input code file into an AST object and executing cross-file dependency and reference analysis; the semantic fact construction module generates an initial fact set according to the data output by the code compiling and analyzing module; the rule interpreter receives the rule set of the hierarchical rule base and constructs a corresponding hierarchical rule network; the rule matcher injects the initial fact set into the hierarchical rule network in a streaming mode to execute rule matching; the condition verification module verifies a rule matching condition according to the input fact data and returns a result; when rule matching succeeds, the rule executor executes corresponding processing logic and updates the fact base; and the result analyzing and processing module analyzes and integrates the final reasoning fact data and writes a result into a conclusion library. The method can be used for constructing a universal cross-file code context analysis system, and the code static analysis performance is improved.

An apparatus including a multi-station processing chamber with a top plate and a bottom portion encloses stations each including a pedestal assembly. A spindle centrally located between the stations is configured to rotate about a central axis, and is electrically connected to the bottom portion. An actuator controls movement of the spindle in the Z-direction. An indexer connected to the spindle rotates with the spindle, and includes extensions each configured to interface with a corresponding substrate for substrate transfer. An electrically conductive interface movably connected to the top plate provides an RF return path. Another actuator coupled to the grounding interface controls movement of the electrically conductive interface in the Z-direction. The electrically conductive interface moves downwards in the Z-direction to make contact with the indexer when each of the plurality of extensions is parked and the spindle is moved to a lower position during plasma processing.

The present disclosure relates to software technologies, and in particular, to a distributed transaction processing method, system, apparatus and readable storage medium. The method includes a policy data management module creating and initializing a historical version table used to record data content and version information of each version of a target data entity. The initialized version information includes first version information that corresponds to first version data content of the target data entity. The method includes a transaction process processing module sending a received first-type operation request to the policy data management module; and the policy data management module reading the historical version table and recording the second version data content acquired by performing the first-type operation on the first version data content. In this way, distributed transaction processing efficiency and service rollback capability can be improved based on a historical version table, which helps improve user experience.

The invention relates to the technical field of computers, and provides a distributed data support system and method.The system comprises an access layer and a co-processing layer, the access layer comprises a health monitoring module, a fault processing module and a main-standby switching module, and the co-processing layer comprises a data processing module and a data storage module. According to the invention, the health state of the key component is monitored in real time through the health monitoring module, and the main / standby switching process is automatically triggered when the fault processing module detects the fault, so that the main / standby switching module can rapidly drift the virtual address from the main node to the standby node; therefore, the system can be seamlessly switched to the standby node for continuous operation when a fault occurs, the service interruption time caused by the fault is greatly reduced, and the availability of the system is improved. The data is stored in different storage units through the data storage module according to the type and timeliness of the unmanned aerial vehicle data, the advantages of different types of storage units can be brought into full play, the data storage efficiency is improved, and the storage cost is reduced.

An apparatus including a multi-station processing chamber with a top plate and a bottom portion encloses stations each including a pedestal assembly. A spindle centrally located between the stations is configured to rotate about a central axis, and is electrically connected to the bottom portion. An actuator controls movement of the spindle in the Z-direction. An indexer connected to the spindle rotates with the spindle, and includes extensions each configured to interface with a corresponding substrate for substrate transfer. An electrically conductive interface movably connected to the top plate provides an RF return path. Another actuator coupled to the grounding interface controls movement of the electrically conductive interface in the Z-direction. The electrically conductive interface moves downwards in the Z-direction to make contact with the indexer when each of the plurality of extensions is parked and the spindle is moved to a lower position during plasma processing.

The invention provides a firmware non-inductive updating method and system for storage equipment, and belongs to the technical field of the storage equipment, and the system for the firmware non-inductive updating of the storage equipment comprises the following steps: reserving an RAM (Random Access Memory) area; a context management module; a firmware update processing module; a reset control module; and a context recovery module. According to the method, device reset and service interruption caused by firmware updating are thoroughly eliminated, and strict requirements of high-availability scenes such as a cloud server and an industrial control system are met; state decoupling is carried out between front-end and back-end / firmware transactions, and a key front-end operation state is solidified in an RAM (Random Access Memory), so that new firmware can'thermally take over all unbiased transactions, and seamless switching in a real sense is realized.

The invention discloses a task plan generation method and system based on a large model, and relates to the technical field of intelligent information scheduling. Comprising a data pre-processing module, a man-hour evaluation module, a task modeling module, a large model reasoning module and a performance analysis module. By obtaining enterprise order data, process man-hour data and system configuration data, hierarchical processing is performed on tasks, process complexity and correction man-hours are calculated, and man-hour demands are generated in combination with equipment utilization and cooperation number of people; the orders are divided into a deduction task plan group, a process dependency graph is constructed, and a large model reasoning module disassembles tasks based on historical task samples to generate sub-task working hours; task allocation is carried out in combination with the special ability and the overall ability of the employees, the processing duration and the optimal value are calculated, and an optimal task plan is screened; the method realizes accurate man-hour prediction, reasonable resource allocation, employee load balancing and task execution efficiency improvement, and is suitable for scenes such as software development, project management and production scheduling.

One or more implementations of this specification provide model training and checkpoint file storage systems and methods. In an implementation, a method includes executing, by a model training module of a storage system, a training task of an artificial intelligence model, during execution of the training task, suspending, by the model training module, the training task if a first checkpoint file is generated and sending a request to a checkpoint file processing module of the storage system to cache the first checkpoint file, locally caching, by the checkpoint file processing module, the first checkpoint file based on the request, and concurrently performing, by the check file processing module, a notification operation and a storage operation.

Control device (10) for determining switching times of an electromagnetic actuator (1), comprising: - a first process module (11) designed to determine a course of a concatenated magnetic flux as a function of a current intensity for controlling the electromagnetic actuator (1) as an actual characteristic curve (200); - a second process module (12) designed to provide at least one reference characteristic curve (300) for the magnetic flux as a function of the current intensity for controlling the electromagnetic actuator (1), wherein the reference characteristic curve (300) has a first characteristic curve section (301), wherein the first characteristic curve section (301) has a linear profile with a defined gradient and a negative offset (320), wherein the negative offset (320) is selected such that during a switching operation in which the electromagnetic actuator (1) is not moved, the first characteristic curve section (301) of the reference characteristic curve (300) is not exceeded, and wherein the slope of the first characteristic curve section (301) corresponds to a slope of the actual characteristic curve at the beginning of switching off the electromagnetic actuator (1), wherein the reference characteristic curve (300) has a second characteristic curve section (302) whose gradient corresponds to the actual characteristic curve at the beginning of switching on the electromagnetic actuator (1) and which includes a positive offset, and wherein the switching off begins with switching off the power supply of the electromagnetic actuator (1); and - a third process module (13) designed to determine a switching time of the electromagnetic actuator (1) using a comparison of values ​​of the actual characteristic curve (200) with values ​​of the at least one reference characteristic curve (300).

The invention relates to the technical field of server manufacturing, and discloses a server manufacturability intelligent evaluation MES system based on machine learning, and the system comprises a data collection module which is used for obtaining, classifying and marking the operation time data of each process in real time; the standard library management module is used for storing a standard library and supporting data management; the man-hour comparison module is used for calling standard man-hours and comparing the standard man-hours with real-time data; the problem processing module triggers a feedback process and generates a standardized problem description; the evaluation scoring module is used for quantitatively scoring the manufacturability of the model machine based on a standard; and the standard updating module updates a design standard through a machine learning model. According to the system, intelligent evaluation of the manufacturability of the server is realized, the data acquisition accuracy, the standard library dynamic updating capability, the problem processing normalization and the evaluation scoring objectivity are improved, and the manufacturing efficiency and the manufacturability level of the server are improved.

Embodiments of the present disclosure disclose a method for creating an application shortcut, an electronic device, and a system, to resolve a problem of creating an application shortcut in a user interface of a host operating system for an application program in a guest operating system. The system provided in embodiments may include: an application information encapsulating module, an application information sending module, an application information parsing module, an application shortcut creating module, a virtual application process module, an application program startup processing module, an application program display module, and an application window mirror display module.

An apparatus including a multi-station processing chamber having a top plate and a bottom portion surrounds stations each including a pedestal assembly. A spindle located centrally between the stations is configured to rotate about a central axis and is electrically connected to the bottom portion. An actuator controls movement of the spindle in a Z direction. An indexer connected to the spindle includes extensions that rotate with the spindle and are each configured to interface with a corresponding substrate for substrate transfer. A conductive interface movably connected to the top plate provides an RF return path. Another actuator coupled to a ground interface controls movement of the conductive interface in the Z direction. The conductive interface moves downward in the Z direction to contact the indexer when each of the multiple extensions is stopped and the spindle is moved to a lower position during plasma processing.

The application discloses a kind of efficiency monitoring systems of large model training cluster, including training data acquisition module, backend processing module and client;Training data acquisition module includes monitoring hook sub-module and database;Monitoring hook sub-module is realized by rewriting the module finder of Python, the import request of the core module of the training task is intercepted, and monitoring hook is installed into target training process;Monitoring hook real-time acquisition corresponding data and store in database;Backend processing module accesses the various monitoring data collected by data acquisition module through data acquisition module interface access layer, and calculates various training efficiency related composite indexes based on preprocessed monitoring data through high-order index calculation engine.The application can be real-time monitored, non-invasive deployment and can guarantee data integrity.

The present application provides a probability table updating apparatus and updating method, a medium, and a terminal. The apparatus comprises a pre-frame adaptive process module, an entropy decoding module, and a post-frame adaptive update module. The pre-frame adaptive process module executes a forward adaptive update process on an original probability table before decoding starts, to generate a new probability table. A hardware updating design method is used to reduce the number of software and hardware interactions in a video decoding process, thereby reducing bus bandwidth pressure. The entropy decoding module performs a decoding operation on a current image frame on the basis of the new probability table, and calculates the number of times of decoding syntax elements corresponding to probability table elements in the decoding process, so as to perform a backward adaptive update process. The post-frame adaptive update module performs the backward adaptive update process on the basis of the original probability table and the number of times of decoding the syntax elements corresponding to the probability table elements. Use of hardware to decode forward and backward update processes of a probability table not only improves the adaptability of a decoder to different data features, making the decoder more widely applied to various decoding scenarios, but also improves decoding efficiency.

The invention discloses a visual compiling system for cloud intelligent screen operation chain tracking, and relates to the technical field of intelligent office systems.The system comprises an operation chain logic modeling module, a visual interaction configuration module, a compiling deployment execution module, an abnormity intelligent diagnosis module and a repairing scheme closed-loop module. A structured logic graph is generated and converted into a visual flow chart, runnable codes are automatically generated and deployed, abnormity is accurately diagnosed, an adaptive repair scheme is generated, and whole-process closed-loop management is formed; according to the method, full-process automation from operation collection to code generation is realized by integrating an automatic process module, a structured graph is constructed by relying on a logic dependency algorithm, a configuration threshold is reduced by combining a visual interface, differentiation and offline deployment are supported, the development period is shortened, the maintainability is improved, and meanwhile, the development efficiency is improved. And an anomaly diagnosis and repair closed-loop mechanism accurately locates an anomaly root, a reliable repair scheme is generated, the manual troubleshooting cost is reduced, and the fault response efficiency is improved.

The invention discloses a quantum circuit parallel compiling acceleration system based on multi-objective optimization, and relates to the technical field of quantum computing, and the system comprises an environment and equipment parameter collection module which is responsible for collecting transmission data in real time; the parameter processing module quantifies the environmental influence; the quantum entanglement module constructs an equipment association quantum model; the quantum circuit parallel compiling module accelerates to generate an operation sequence; the multi-target collaborative optimization module outputs an adaptive control strategy, and the efficiency and reliability of the power system are comprehensively improved; according to the method, efficient solution of multi-objective optimization of the power system is realized through a quantum circuit parallel compiling acceleration technology, a traditional method needs to sequentially process operation efficiency, equipment life and environment adaptation sub-objectives, calculation is time-consuming and is easy to fall into local optimum, and the system splits multiple objectives into sub-tasks, so that the efficiency of the system is greatly improved. And quantum resources are dynamically allocated by using a quantum acceleration operator algorithm, sub-quantum circuits are compiled in parallel, and the optimization period is shortened.

To provide a technique for easily and accurately registering information for identifying a program used for processing each set of analytic data in a device for processing analytic data acquired by multiple types of analysis devices.SOLUTION: Two or more types of processing modules and module information defining a character string corresponding to each of the two or more types of processing modules are stored in memory of a data management device 1. A processor of the data management device selects one processing module to be used for processing given analytic data from among the two or more types of processing modules on the basis of a character string included in a file name of the given analytic data and the module information for the given analytic data.SELECTED DRAWING: Figure 1

The invention discloses an automatic acquisition and intelligent analysis digital archive management system in the tobacco industry, and belongs to the technical field of archive management. The system adopts a micro-service architecture constructed based on a J2EE technical system and a Spring Boot framework, and comprises a data acquisition module, a data storage module, a data arrangement module, a query utilization module, a borrowing management module, an authority management module and a digital processing module. The data acquisition module is in butt joint with a service system through a standard interface and performs four-property detection on the electronic archive; the data storage module adopts a distributed architecture of MySQL master-slave copying and Redis caching, and archive files are encrypted and stored by adopting AES-256; the data arrangement module automatically completes data cleaning, file classification and cataloguing through an intelligent algorithm; the query utilization module supports multiple query modes; and the authority management module realizes fine control based on an RBAC model. According to the invention, full-life-cycle digital management of science and technology archives is realized, the archive management efficiency is greatly improved, the management cost is reduced, and the archive data security is guaranteed.

The invention relates to the field of software development, in particular to a zero-code rapid coding system and method, and the system comprises a processor, an equipment control module, a sensor acquisition module, an interface module, a logical operation module and a multi-branch process module. The processor is connected to the equipment control module through the interface module so as to define a driving instruction of the equipment control module according to a first parameter set by a user; the processor is connected to the sensor acquisition module through the interface module so as to define an information acquisition instruction of the sensor acquisition module according to a second parameter set by a user; the logical operation module is arranged in a storage medium of the processor so as to define coupling logic of the driving instruction and the information acquisition instruction according to a third parameter set by a user; the multi-branch process module is arranged in a storage medium of the processor so as to define a branch execution sequence of the driving instruction according to a fourth parameter set by the user. The system solves the technical problems of long development period, high cost and difficulty in maintenance in the prior art.

The application discloses a kind of equipment knowledge management system and method;The system comprises: multi-modal data access module, for accessing multiple format files and extracting multi-modal elements;Knowledge processing module, for the structural treatment of extracted elements and constructs knowledge graph;Retrieval question and answer module, for executing user intent judgment based on user question input;According to the intention recognition result, when judging triggering question and answer, generate answer and its generation basis;Fault diagnosis module, for determining triggering fault diagnosis according to the intention recognition result, constructing fault tree according to knowledge graph and outputting troubleshooting scheme;Process application module, for determining triggering process application according to the intention recognition result, extracting BOM structure and process elements, generating process outline, multi-level process and SOP content, recommending associated resources based on process;Authority management module, for realizing access control based on directory and secret level.The application provides efficient and accurate equipment knowledge management platform for users.

The invention relates to a system and method for form visual arrangement and process management, and the system comprises a process template basic design module which is used for setting process basic information; the form design module is configured to be used for converting the Word document into a visual page by using a vue-document-editor (vue-document-editor); the flow design module is configured to perform flow visual arrangement by using a lowflow-design designer so as to generate self-defined JSON (JavaScript Object Notation) data; the back-end processing module is configured to parse the self-defined JSON data into XML (Extensible Markup Language) data conforming to a bpmn2.0 standard, and integrate a bpmn2.0 standard process engine to create and manage a process; wherein all the modules realize the visual arrangement of the form by integrating a vue element-ui component.