260 results about "Process module" patented technology

The invention discloses an intelligent control system and method for gas-liquid photoelectric slip ring injection molding machining, and relates to the technical field of injection molding process control. The data acquisition module is used for acquiring multi-dimensional production data by using a sensor array and an advanced optical technology; the data analysis and processing module fuses and optimizes data through deep learning; the decision-making module combines reinforcement learning and a knowledge graph to generate a strategy; the execution control module adopts an advanced control algorithm to realize accurate control; the monitoring and early warning module guarantees production by using technologies such as digital twinning; the man-machine interaction module applies a leading-edge interaction technology; the communication module adopts a high-speed communication architecture; all the modules cooperate to achieve intellectualization and precision of injection molding machining. The gas-liquid photoelectric slip ring injection molding processing level is greatly improved, the product percent of pass is improved, the production efficiency is improved, the unit product energy consumption is reduced, meanwhile, intelligent interaction and remote management are achieved, and the production benefit and quality are improved.

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 charging pile intelligent distribution system based on dynamic load balancing and a charging pile, and relates to the technical field of charging piles, a distribution module is used for receiving an operation feature group of each charging pile at a first response moment, generating a feature weight set, and simulating importance judgment logic in the feature weight set according to a feature priority, dynamic load distribution of the charging piles is realized; the process module is used for receiving the data of each source in real time in the dynamic load distribution process, performing multi-source analysis, checking the fault burstiness of the charging pile, analyzing the communication interruption, predicting the charging demand performance and the power supply performance based on the data of each source at a second response moment, and constructing a comprehensive risk index in combination with an evidence theory; and the updating module is used for generating a judgment signal according to the comprehensive risk index value, and the judgment signal comprises an updating instruction and an iteration result.

A system for delivering contextual responses through dynamic integrations of digital information repositories with inquiries, comprising a computing device configured to collect a plurality of inquiries associated with an entity, access a plurality of digital information repositories in communication with the at least a processor to retrieve a plurality of entity records pertaining to the entity, extract one or more entity features from the plurality of inquiries and the plurality of entity records, implement a nested data storage structure to store the plurality of inquiries and the plurality of entity records based on the one or more entity features, generate, at one or more process modules interfaced with the computing device, one or more contextual responses upon receipt of an additional inquiry by traversing the nested data storage structure, and display the one or more contextual responses to the entity through a user interface at a display device.

The invention provides a business process system combining a dynamic form and a process engine, and relates to the technical field of business processes, the business process system comprises a code generation module, a flexible form module and a dynamic process module, the code generation module is used for automatically generating code files related to adding, deleting, checking and changing functions according to a database table structure, and the flexible form module is used for generating a flexible form; uniformly compressing and packaging into a code package; the flexible form module is used for designing and configuring a form according to the code package of the code generation module; according to the method, the form can be dynamically generated and closely integrated with the process engine, automatic management of the business process is realized, and seamless connection between the form designer and the process design engine and between the form engine and the process execution engine is realized, so that each link of the business process can dynamically generate and process the form according to actual requirements; the flexibility and the automation degree of the system are greatly improved, the automation requirement of an enterprise in a complex business process is met, the working efficiency is improved, and manual operation errors are reduced.

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 relates to the technical field of sales data management, and discloses an electronic component online sales data management and maintenance system, which comprises a data acquisition and processing module, a user demand matching module, a data verification module, an inventory optimization module and the like. The data acquisition and processing module acquires multi-dimensional sales data, and performs natural language processing and dynamic knowledge graph construction, processing and data association; the user demand matching module generates an initial matching result based on a collaborative filtering algorithm and semantic clustering; the data verification module verifies the data by using a Hash algorithm and a block chain network; and the inventory optimization module optimizes the inventory according to the timeliness weight factor and a reinforcement learning algorithm. In addition, the system is further provided with an abnormal transaction detection module, a multi-source data integration module and an interactive query optimization module which are respectively used for detecting abnormal transactions, integrating multi-source data and optimizing query. The system effectively solves the problem of electronic component online sales data management, and improves sales efficiency and user experience.

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 discloses a ransomware double-layer defense method combining bait file monitoring and letter verification, and belongs to the field of network security. Firstly, a ransomware double-layer defense mechanism in which a user mode module and a kernel mode module cooperatively work is constructed, and the user mode module generates a bait file and a letter white list and transmits the bait file and the letter white list to the kernel mode module. Then, the bait file monitoring module judges whether the target file of the ransomware is a bait file or not, and if the target file of the ransomware is the bait file, the bait file monitoring module directly blocks malicious behaviors and feeds back the malicious behaviors to the user mode module; and if the ransomware tries to directly encrypt the real user file, the bait file monitoring module transmits the operation request to the dynamic letter verification module for deep verification, and feeds back the processing result to the user mode module. And finally, the malicious process processing module executes a termination and isolation strategy on the malicious process. According to the method, various behaviors of ransomware are comprehensively covered, the false alarm rate is reduced, and the defense real-time performance and effectiveness 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.

The invention discloses a bending machine control system and method, the control system comprises a bending machine, an acquisition processing module, a preset process module and a control module, and an upper mold and a lower mold are both associated with corresponding mold information identifiers; the collecting and processing module is used for collecting mold information identification, real-time images and down force, the preset procedure module comprises a preset procedure configuration unit for a user to input multiple pieces of bending procedure information, and the multiple pieces of bending procedure information comprise procedure numbers, bending positions, mold information, bending pressure preset numerical values and procedure standard images. The control module comprises an image recognition unit, an image comparison unit and a control unit, mold information, a workpiece image and bending pressure are collected in real time through the collecting and processing module, the mold information and the workpiece state are automatically compared in combination with standardized configuration of the preset process module, and automatic control over the bending process is achieved; the bending machine has the advantages of improving the bending efficiency, reducing operation errors and improving the workpiece bending precision and consistency.

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.

The invention discloses a manufacturing method, a process module matching method and a substrate processing device. The manufacturing method includes: a device setting operation of matching resonance points of a first process module and a second process module different from the first process module to each other; a first substrate processing operation of processing the substrate in the first process module and / or the second process module; and a resonance frequency control operation of adjusting a resonance point of the first process module and the second process module, which is changed in a case where the first substrate processing operation is performed, to an initial resonance point, the resonant frequency control operation includes controlling at least one of a variable element of a first resonant control circuit of the first process module and a variable element of a second resonant control circuit of the second process module to adjust a resonance point of the first process module and the second process module to an initial resonance point.

The invention discloses a multi-application scene Internet of Things test box based on a swan gap system, and the box comprises a swan gap operation system module which is used for providing IPC communication between processes; the client process module is used for sending a data reading request to the near-end server; the near-end server module is used for collecting sensor data after receiving the data reading request, performing JSON coding on the sensor data, generating JSON format coded data, synchronizing the JSON format coded data to the client process module for display through IPC communication, and uploading the JSON format coded data to the far-end server module for storage through an Internet of Things protocol; and the far-end server module is used for storing data from different sensors in different application scenes. According to the invention, Internet of Things simulation under different application scenes, different Internet of Things protocols and different sensors can be flexibly supported.

The invention relates to a method for processing a missing page exception, which comprises the following steps of: creating a plurality of processing modules for processing the missing page exception, and enabling the plurality of processing modules to be in a dormant state; when at least one missing page exception occurs in the memory access operation of the computing device, awakening at least one processing module in the plurality of processing modules based on the number of the missing page exceptions in the at least one missing page exception; wherein the number of the missing page exceptions in the at least one missing page exception is greater than or equal to the number of the processing modules in the at least one processing module; the processing modules except at least one processing module in the multiple processing modules continue to be in the dormant state; the at least one processing module is used for processing at least one missing page exception. According to the method, the missing page exception processing efficiency can be improved.

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.