100 results about "Process module" patented technology

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 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 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 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 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.

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 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 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 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.

A server and a resource scheduling method for use in a server. The server comprises a plurality of processing modules each having predetermined resources for processing tasks handled by the server, wherein the plurality of processing modules are interconnected by communication links forming a network of processing modules having a Disaggregated Data Centers (DCC) architecture; a DCC hardware monitor arranged to detect hardware information associated with the network of processing modules during an operation of the server, and a task scheduler module arranged to analysis a resource allocation request associated with each respective task and the hardware information, and to facilitate processing of the task by one or more of the processing modules selected based on the analysis.

The invention discloses a BIM-based subpackage management system and a business process optimization method thereof. The BIM-based subpackage management system comprises a subsystem business process module, an in-system business process module, an out-system physical process module and a BIM-based integrated management module, according to the invention, the problems of complex flow, low efficiency of information circulation, insufficient data processing, unreasonable task allocation, poor integration of internal and external flows and the like in the existing subpackage management system are effectively solved, the performance and applicability of the subpackage management system are remarkably improved, and the overall efficiency and effect of project management are ensured. Therefore, the method has an important application value and a wide popularization prospect in modern engineering project management.

Substrate processing device comprising: a substrate transport chamber configured to contain a sealed environment and having at least one closable substrate transport opening arranged to connect the substrate transport chamber to a substrate processing module or- a process module connects to load and unload the substrate processing module with one or more substrates through the at least one closable substrate transport opening; a substrate transport robot for loading and unloading the substrate processing module with the one or more substrates through the at least one closable substrate transport opening, wherein the substrate transport robot has an arm with at least one articulated arm section and an end effector within the substrate transport chamber, wherein the end effector has a substrate holding station for holding the one or more substrates on it during transport via the articulated connection of the at least one articulated arm section; a substrate buffer within the substrate transport chamber, wherein the substrate buffer is separate from and distinct from the substrate transport robot, with one or more buffer compartments or...floors that are separate and distinct from each substrate holding station of the substrate transport robot, and wherein the one or more buffer compartments in the substrate transport chamber are movable independently of the movement of each substrate holding station of the substrate transport robot; and a drive section with at least one motor and a coaxial drive shaft spindle, wherein the at least one articulated arm connection is connected at a rotary joint to a drive shaft of the coaxial drive shaft spindle, such that the at least one articulated arm connection rotates about an axis of the coaxial drive shaft spindle; wherein the substrate buffer is connected at another rotary joint to another shaft of the coaxial drive shaft spindle, such that the substrate buffer rotates about the axis of the coaxial drive shaft spindle, which is a common axis of rotation of both the at least one articulated arm member and the substrate buffer.

Provided is an apparatus for processing a substrate, the apparatus including: a process module for processing a substrate; a buffer unit having a buffer blade on which the substrate is placed; and transfer unit for transferring the substrate between the process module and the buffer unit, in which the buffer unit includes a moving member for moving the buffer blade so that the buffer blade is moved to a standby position and a use position where the transfer unit is accessible.

The embodiment of the invention provides a method and system for realizing flexible configuration of a business process, and the method comprises the steps: obtaining a configuration file, the configuration file defines a plurality of mutually independent processes, and each process defines a module chain composed of a plurality of mutually independent processing modules; when the service program is started, the configuration file is loaded, and circulation conditions related to the processing module in the configuration file are pre-compiled into an executable function; receiving external request data; matching a target process according to the attribute of the request data; and driving the request data to flow along the module chain of the target process, calling the corresponding executable function to carry out condition judgment when the request data flows through each processing module, and carrying out service processing according to a judgment result. Therefore, a plurality of processes and a plurality of processing modules in the configuration file are mutually independent, flexible configuration can be supported, and the execution efficiency of data circulation can be improved.

The invention discloses a high-availability passenger flow data processing system, and the system comprises a data collection and local caching module, a cloud data access and buffering module, a high-availability data cleaning process module, and a data storage and application module. According to the method, data are not lost, the accuracy, the consistency and the availability of the data are obviously improved, a solid foundation is provided for business decision making, the cloud cleaning service adopts a micro-service architecture, database decoupling and elastic telescopic design, a large-data-volume scene of a promotion activity can be easily dealt with, and the service experience is improved. Stable operation of the cleaning service and timeliness of data processing are guaranteed, various dirty data including repeated data, format errors, abnormal values and missing values can be effectively processed in the targeted cleaning stage, high-quality standardized data are output, and the system is easy to expand to adapt to business growth due to modularization and elastic expansion capacity of the cleaning service.

The invention discloses a construction standard data management system based on building engineering, and aims to improve the building construction safety management efficiency and precision. The system comprises core components such as an inspection robot, a data processing module and a storage module. The inspection robot performs mobile monitoring in a building site according to a preset route, and acquires data such as images and videos in real time. The data processing module receives and processes the data, creatively and accurately measures and calculates the distance between the personnel and the equipment only by taking the point-to-point position visual data, and can classify and judge abnormal data according to a set rule, divide safety risk levels and realize intelligent identification and early warning of risks. And the storage module is responsible for storing and calling various data. According to the system, through flexible mobile monitoring of the inspection robot and in combination with an innovative data processing mode, a traditional building construction safety management means is innovated, safety accidents are effectively prevented, and smooth construction is guaranteed.

The application discloses a data processing method and device of PET, a computer storage medium, a computer program product and a digital PET system. The data processing method comprises the following steps: receiving original data of PET through a distribution module, and encapsulating the original data into a plurality of to-be-processed tasks with time identifiers; competing for a current to-be-processed task through a plurality of processing modules in a standby state, when any one of the processing modules successfully acquires the current to-be-processed task, the remaining processing modules enter the standby state, the processing module acquiring the to-be-processed task processes the original data and obtains coincidence event pairs, and then enters the standby state, all the processing modules cyclically execute the processes of standby, competition and processing until the task stops; and globally sorting and merging the coincidence event pairs obtained by all the processing modules in time sequence through a merging module, so that globally ordered coincidence event pairs are obtained. The application can solve the time disorder problem prone to occurring in the digital PET data processing.

The invention discloses an automatic processing system and method for electric power information communication scheduling operation data. The system comprises a man-machine interaction module, a data capture module, a report processing module, a file management module and a data verification module. The man-machine interaction module is used for realizing data interaction between the system and an operator; the data capturing module is used for automatically extracting work order data through a cross-communication scheduling core business system; the report processing module is used for realizing monthly report updating, daily report generation and end-of-month data archiving; the file management module is used for managing template files, result files and log files related to the system; and the data verification module is used for verifying the accuracy of the data processing result. The method disclosed by the invention is high in data processing efficiency, good in integrity and relatively high in accuracy.

The invention discloses a multi-source telemetry data processing method, system and device and a storage medium, and the method comprises the following steps: respectively configuring a network parameter, a replay parameter, a telemetry flow parameter, a full-frame synchronization parameter, a path selection parameter, a secondary synchronization parameter, a data processing parameter, a trajectory processing parameter and a target parameter in a tabulation manner based on an EXCEL or WPS table; reading parameter configuration based on an EXCEL or WPS table, identifying characters, numbers and time in the cells, and reading a calculation formula and a function for parameter processing; mathematical processing is carried out on coordinate conversion, data interpolation, ballistic integration, data selection, time alignment, refraction correction, matrix calculation and analog-to-digital conversion in daily range data processing. The method has the advantages that the formats of the multi-source telemetering data are unified in the modes of processing module generalization, configuration parameter tabulation and parameter calculation formulation, original code data needing to be processed are combined into the frame format needed by the user, and software does not need to be modified frequently.

The invention provides a data processing device, and relates to the technical field of artificial intelligence, in particular to the technical fields of chips, large models, pre-training, fine tuning and the like. The device comprises: an index processing module configured to fuse one of an index bit of an input floating-point number and an initial mantissa bit preposition parameter with an input scaling coefficient according to type information of the input floating-point number to obtain a temporary index bit, the initial mantissa bit preposition parameter representing the number of zeros before a first non-zero value in the mantissa bit of the input floating-point number; the mantissa shifting module is configured to determine mantissa shifting information according to the type information of the input floating-point number, the input scaling coefficient and the temporary exponent bit and shift data to be shifted according to the mantissa shifting information to obtain a mantissa shifting result, and the data to be shifted are determined according to the mantissa bit of the input floating-point number; and the output selection module is configured to determine an exponent bit and a mantissa bit of the output floating-point number according to at least one of the mantissa shift result and the temporary exponent bit. The invention further provides a data processing method, electronic equipment and a storage medium.

The invention belongs to the technical field of quantum computing, and relates to an isQ-based efficient quantum machine learning system and method. The system comprises a vmap parallelization quantum circuit, wherein a quantum circuit isQ file processing module compiles and outputs a quantum circuit compiled by an isQ quantum programming language as a quantum circuit intermediate representation; the quantum circuit intermediate representation analysis module analyzes the quantum circuit intermediate representation; the batch data processing module performs batch processing on the data; the batch parameterization quantum circuit module initializes a state vector of the quantum simulator and generates a batch quantum circuit set in combination with batch parameters; the vmap operation quantum circuit module applies a function to different dimensions of input data through vectorization mapping to realize efficient parallel processing; and the batch result processing module calculates a final quantum simulation result. According to the invention, the parallel processing of the quantum machine learning data can be realized.

The application provides a main drive assembly production line scheduling method and system and a main drive assembly production line of a tunneling machine, and relates to the technical field of intelligent manufacturing. The method comprises the following steps: acquiring material identity information of a main drive component; determining an assembly process path of the main drive component from a predefined modular process library according to the material identity information, the modular process library comprising a plurality of configurable process modules, and the assembly process path comprising a plurality of to-be-executed processes; determining a physical position and a process completion state of the main drive component in the main drive assembly production line to obtain a real-time production progress of the main drive component; determining a current to-be-executed process of the main drive component based on the assembly process path and the real-time production progress; determining a corresponding target device and a job recipe according to the current to-be-executed process; and sending a task instruction comprising the job recipe to the target device to drive the target device to execute the current to-be-executed process job. The application is used to improve scheduling accuracy and improve job execution efficiency.

The invention belongs to the technical field of consultation service management, and discloses a project cost consultation service management method and system, a terminal device and a storage medium, and the method guarantees data transparency and non-tampering through a block chain, assists intelligent decision making through AI, and finally achieves project cost consultation service in combination with an automatic process. Through AI intelligent auxiliary decision making and automatic process management, the service efficiency and decision making quality are remarkably improved, personal errors are reduced, factors such as material price fluctuation and construction difficulty are comprehensively considered through a cost prediction model, a high-precision budgeting scheme is generated, a manufacturing cost teacher is helped to quickly complete budgeting, and meanwhile, the cost prediction efficiency is improved. The automatic process module can automatically process tedious tasks such as contract approval, payment and settlement and the like, and the traditional work which needs several days or even several weeks is shortened to be completed within several hours, so that the labor cost is reduced, the project period is greatly shortened, and the overall business efficiency is improved.

This invention provides a fully automated pipetting system based on programmable logic, comprising a functional terminal, a programmable terminal, a programming module, an execution module, and a data storage unit. The programming module is used to configure the experimental procedure, bind parameters, and perform logic verification in a graphical user interface, and compile the experimental procedure into an engineering metadata file. The execution module is used to parse the engineering metadata file and generate an executable engineering data file, driving the pipetting device to automatically complete tip changing, liquid collection, and liquid discharge operations according to a preset procedure. This invention integrates experimental process modules such as temperature control and oscillation control into the programmable terminal, enabling the sample addition conditions in the reagent zone, mixing zone, and target zone to be uniformly configured and executed under the same software logic. Furthermore, the oscillation time parameter can be set as needed according to the experimental plan, thereby maintaining consistent experimental conditions during multi-zone, multi-stage pipetting processes and effectively reducing the impact of environmental fluctuations on experimental results.

The invention discloses a fusion collection and hierarchical storage system based on electric power multi-modal data, and relates to the technical field of electric power data processing, and the system comprises a multi-source heterogeneous data collection module which is used for carrying out the comprehensive collection and convergence of multi-modal electric power data generated by various sources in the electric power production operation process; and a data processing module. According to the fusion collection and hierarchical storage system based on the electric power multi-modal data, through cooperative use of the data vectorization module and the cross-modal data retrieval module, the retrieval process of vectors can be accelerated, the model analysis reasoning efficiency and precision in an actual scene are improved, reliable and credible auxiliary decisions are provided for personnel safety and equipment safety, and the system is suitable for popularization and application. One-key fusion, integrated retrieval and efficient representation analysis of the multi-modal data are realized, the collection, storage and knowledge representation fusion capabilities of the multi-modal data are remarkably improved, the safety, reliability and economy of electric power safety supervision and operation inspection services are improved, and the operation efficiency is effectively improved.

The invention provides an application communication system and method. The system at least comprises an application layer and a framework layer. The application layer is used for sending first information of a first format generated by a first application to the architecture layer through a target interface; the architecture layer is used for receiving first information in a first format through a target interface, calling a target processing module matched with the first information in processing modules of N operating systems, and converting the first information in the first format into first information in a second format supported by a second application through the target processing module, the first information in the second format is sent to the application layer through the target interface; and the application layer is also used for receiving the first information in the second format through the target interface and transmitting the first information in the second format to a second application of the application layer. According to the scheme, communication between the three-dimensional vehicle control application and the native application of any operation system can be achieved, universality and compatibility are good, and expandability is high.

The application discloses a kind of coal mine underground drilling machine fault diagnosis processing system and method, including hardware system and software system, the hardware system includes sensing system, data transmission network, core control system, fault server, execution system and man-machine interaction system;The software system includes data acquisition and preprocessing module, data fusion processing module, drilling machine fault knowledge base, drilling machine fault diagnosis module and drilling machine fault processing module;Compared with existing coal mine drilling machine state monitoring technology, the application is more intelligent, can display whether drilling machine operation state is normal in real time, when drilling machine operation state is not normal, can give fault mode in time automatically, and push corresponding operation suggestion, provide support for realizing automatic intelligent drilling technology.The application provides strong guarantee for real-time mastering drilling machine working state and quickly eliminating drilling machine fault, reduces the operation difficulty of operator and requirement to experience and knowledge.