8 results about "Process state" patented technology

A distributed control system includes low-level controllers interacting with field devices, a high-level controller providing instructions, a human-machine interface that receives an input from a user transmits it to the high-level controller, receive from the high-level controller state information of the process, and display this state information to the user; first and second instances of backend software that are communicatively coupled to the high-level controller, first and second instances of frontend software running on respective client devices of the plant, and a software manager that indicates to each client device which version of frontend software is available for the client device, wherein the first instance of frontend software interfaces with the version of the first instance of backend software, and the second instance of frontend software interfaces with the version of the second instance of backend software.

This invention discloses a composite sequence forced and logical association control method, system, and electronic device for die-casting machines, relating to the field of die-casting machine testing technology. The invention collects multi-source operating data from the die-casting machine and, based on this data and pre-set process rules, determines the process state of the die-casting machine. It acquires a pre-stored forced test sequence and generates corresponding test instructions. The forced test sequence includes trigger conditions and forced steps arranged in a logical order. During the operation of the die-casting machine, it monitors in real time whether the trigger conditions are met. If met, the test instructions are executed according to the timing logic of the forced steps. Simultaneously, it continuously monitors the process state and die-casting machine safety parameters, and controls the interruption and reset of the test instructions based on the monitoring results. This method supports repeatable and safe simulation and verification of complex operating conditions or occasional faults, improving the testing efficiency of the die-casting machine control system.

The application discloses a kind of based on multi-version management's work order production scheduling method, device and storage medium, by creating and formal production scheduling environment isolated storage draft version, make planner free to simulate production scheduling under the premise of not affecting actual production, avoid the covering of formal plan by misoperation, realize the parallel storage and independent adjustment of multiple schemes;By generating operation instruction object containing pre-adjustment state and post-adjustment state, and based on withdrawal or recovery instruction, respectively according to pre-adjustment state or post-adjustment state update gantt chart display and back or recovery process state, reversible adjustment of single operation is realized, the consistency of interface display and back-end process state is ensured;By publishing satisfactory draft version as formal production scheduling plan, the smooth transition from simulation scheme to production execution is realized.

This invention provides an intelligent control method and device for multi-process forging, relating to the field of intelligent manufacturing technology. The method includes: constructing a process state sequence covering multiple forging processes; obtaining simulated forging quality corresponding to different combinations of process parameters through simulation; calculating the difference between the simulated and actual forging quality to form a perturbation variable; establishing a process state sequence sample library and training a long short-term memory network model to form a dynamic prediction model; obtaining the actual process parameters of the completed initial processes; and predicting and evaluating subsequent unexecuted processes and finding an optimized parameter set under the constraints of desired forging quality and minimizing perturbation variables using the dynamic prediction model; calculating production perturbation variables after production completion; and triggering an initial process parameter correction mechanism to re-execute the full process optimization when the quality of the produced forgings is not within the acceptable range. This invention can improve the accuracy of multi-process forging process control by combining with the actual production process.

The present application relates to the field of titanium alloy forging regulation technology, in particular to a titanium alloy metal forging process parameter regulation method based on digital twinning, comprising: deploying isothermal forging presses, multi-section intelligent temperature control systems, vacuum or protective atmosphere environments and multi-source online monitoring sensor networks in the physical space to collect multi-source state data during the forging process. A virtual space constructs a digital twin of a constitutive model library based on Gleeble thermal simulation experiments, a finite element real-time simulation engine and process decision algorithm, realizes real-time data transmission between the virtual and real spaces through a data interaction link, drives the simulation to generate a virtual mirror, compares key field variables with the threshold values of the constitutive model library in real time to trigger parameter optimization, and returns the optimized parameters to realize the coordinated closed-loop adjustment of the press speed, temperature control power and atmosphere control logic. The present method can accurately characterize the damage behavior of titanium alloy materials and maintain the dynamic stability of the forging process state.

A closure-based operating system architecture defines stabilized system identity within a structured memory architecture maintaining structural expressions and intrinsic structural relations. A closure stabilization component forms closure entities representing structurally stabilized system states, each closure entity including a closure signature defining identity continuity across structural evolution. Closure entities are structurally constituted within the structured memory architecture and constitute operating-system-level identity distinct from transient runtime states. Execution participation is grounded in structurally admissible closure entities rather than procedural state transitions or rule-based control. Identity continuity arises from intrinsic structural relations and structural invariants preserved through closure signatures, enabling admissible execution, distributed participation, suspension, and migration while maintaining stabilized system identity independent of execution-driven mechanisms. The architecture thereby establishes a structural identity ontology for operating-system-level system states independent of execution-driven state transitions.

This specification provides a snapshot saving and recovery method, apparatus, device, and readable storage medium applied to an AI Agent system. The method includes: in response to an AI Agent instance meeting preset snapshot capture conditions, capturing the running data of the AI ​​Agent instance at a corresponding moment and generating a process state snapshot; writing the process state snapshot and corresponding metadata to a CXL memory pool through memory semantic operations; in response to a snapshot recovery event being triggered, querying the corresponding metadata in the CXL memory pool; and associating the corresponding target process state snapshot with an address allocated to a specific memory space on a target computing node through memory mapping based on the metadata. The technical solution in this specification enables millisecond-level recovery of the AI ​​Agent instance's running state and cross-node migration, ensuring efficient data identification and retrieval, while significantly improving the flexibility of storage resource application and maintenance.

This application discloses a discrete simulation method for process flow, electronic equipment, storage medium, and products, relating to the field of industrial manufacturing technology. This application constructs workpiece entities and process information components through a physical component system, achieving efficient mapping between data and simulation tokens. Through Petri net state space decomposition, key process states are mapped to locations, and actions are abstracted into transitions, forming a logical topology and decoupling process states from control flow. Combining equipment constraints, general resources, and dynamic and fixed-time components, transition execution is divided into four standard types, and asynchronous event simulation is driven by standardized lifecycle templates, achieving accurate workpiece state updates and rational resource scheduling under high concurrency. This application can provide real-time response, process flow analysis, and bottleneck identification in large-scale simulations, providing efficient and flexible technical support for process optimization and digital twin systems.