19 results about "Defined process" patented technology

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention discloses a manufacturing industry process parameter optimization method based on a knowledge graph, and belongs to the field of manufacturing industry intellectualization. The technical problems that in the prior art, parameter optimization depends on artificial experience, systematic management is lacked, intelligent reasoning is difficult to conduct, and knowledge retrieval precision is low are solved. The method comprises the steps of firstly collecting and preprocessing manufacturing industry process data; then, constructing a semantic vector embedding model, and converting the process description into vector representation by adopting a pre-trained bidirectional encoder; defining a process knowledge ontology model, and establishing a parameter association relationship through semantic coding to form a knowledge graph; storing the coded knowledge vector into a distributed database and establishing a retrieval index; user requirements are received, and parameter matching is carried out through cosine similarity calculation; optimizing the matching parameters based on the knowledge graph association relationship; and finally collecting feedback to continuously update the knowledge graph. Through continuous optimization of the feedback learning mechanism, the precision and efficiency of technological parameter optimization in the manufacturing industry are improved.

The invention relates to a method for carrying out a construction measure, in particular a foundation engineering measure, with a construction device, in particular with a foundation engineering machine, which has a plurality of actuation elements and sensors for recording operating states relating to the actuation elements, and with a computer unit, by which recorded parameter values of the sensors are received when carrying out the construction measure. According to the invention provision is made in that for a construction measure a number of different defined process steps are stored, in that from one defined process step to at least one subsequent defined process step a transition takes place as a result of at least one exit rule, wherein to each exit rule at least one characteristic parameter value of at least one sensor is assigned, and in that the recorded parameter values of the sensors are checked as to the exit rules and, if they occur, a transition from an associated defined process step to a subsequent defined process step is detected.

A new methodology for describing business processes and permissible process variants is introduced. Additionally, an allowed system status and involved master data objects with read and change authorization can be defined for process step. If a user wants to run the defined process in a BPM product, the system connection may be made from an authorized central solution manager system (connected to all systems in a landscape) so it is possible to run predefined processes. As soon as a process step shall be executed, a central cloud service can be executed. The central cloud service can access and analyze selected objects. The execution system, which may be a completely different system than the system that defined the business process, can then execute an associated process step, and a process pointer will store the data in involved systems and set a new status.

The invention provides a method for arranging an agent process workflow, and belongs to the field of workflow arrangement. The method defines a service through an agent and arranges a workflow execution flow direction, and comprises the following steps: S1, selecting to access a self-defined process agent; s2, a flow starting operation related flow variable is introduced, and a flow starting flow is called; s3, judging whether flow starting is successful or not, and if yes, turning to S3; if not, whether the number of times of starting the execution process reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S2S3 is executed, and the process is executed; s4, judging whether the process is executed successfully or not, and if yes, turning to S4; if not, whether the number of times of flow execution reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S3 is executed again; s4, calling an API (Application Program Interface), and accessing an intelligent agent; and S5, ending. According to the method, a natural language-driven process is realized and a use threshold is reduced; and the flow process engine and the embedded architecture are decoupled, and the flow diagram is decoupled, so that the extensibility of the process service is improved.

The invention provides a process design method which can be applied to the technical field of financial science and technology. The process design method comprises the following steps: initially defining process nodes of each process link in a business process based on a universal node model, and configuring node IDs for the process nodes; constructing a service function of each process node, and defining an expansion interface at the process node, the expansion interface being used for providing an external calling function for the process node, so that the service function is realized based on the external calling function; based on the processing requirement of the business process, setting an interrupt tag in a process node for implementing business processing, the interrupt tag being used for indicating a processing strategy when the current node is interrupted; and all the process nodes are connected in series based on the node IDs to form a chain structure representing the business process. The invention further provides a process design device, equipment, a storage medium and a program product.

The invention discloses a method, a system, equipment and a medium for dynamically processing data access authority based on AST, and the method comprises the following steps: obtaining an SQL statement script and user information corresponding to a user model, the user model comprising the user information and the SQL statement script; analyzing the SQL statement script into a Java object of an AST structure by using an SQL analysis engine; and according to the analyzed Java object, adding an access control permission corresponding to the user information to an SQL statement script in a user model by using a predefined process engine so as to reconstruct the SQL statement script, thereby realizing dynamic processing of the data access permission. And then returning an execution result of the user model by executing the reconstructed SQL statement script. All links of the whole SQL processing process are defined as nodes of the process engine, flexible configuration and dynamic adjustment of the process are achieved, and the flexibility and reliability of the whole processing process are improved.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

A method of controlling a computer process for designing or verifying a photolithographic component, the method including building a source tree including nodes of the process, including dependency relationships among the nodes, defining, for some nodes, at least two different process conditions, expanding the source tree to form an expanded tree, including generating a separate node for each different defined process condition, and duplicating dependent nodes having an input relationship to each generated separate node, determining respective computing hardware requirements for processing the node, selecting computer hardware constraints based on capabilities of the host computing system, determining, based on the requirements and constraints and on dependency relations in the expanded tree, an execution sequence for the computer process, and performing the computer process on the computing system.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention provides a disaster physical simulation test multi-dimensional scheme integrated definition method and system, and relates to the technical field of deep engineering disaster physical simulation and test scheme definition. Based on a technical architecture of process driving, sequence forcing, data linkage and space-time unification, a set of standardized definition process covering geological conditions, environment application, engineering activities and monitoring arrangement is constructed. By establishing a strict logic dependence and data transmission mechanism, it is ensured that subsequent steps must be executed on the basis of data generated by previous steps, randomness and discreteness in the scheme defining process are fundamentally eradicated, it is ensured that the systematicness, consistency and feasibility of a test scheme are integrally improved, and the test efficiency is improved. And a reliable basis is provided for physical simulation tests of deep engineering disasters.

The application discloses a spraying process parameter optimization method and system based on big data, and the method comprises data acquisition, calculation of parameter influence value, calculation of quality index correlation degree, reconstruction of correlation matrix, construction of neighborhood similarity matrix, optimization of membership matrix, and real-time process parameter optimization.The application belongs to the field of data processing, and specifically refers to a spraying process parameter optimization method and system based on big data.The scheme defines parameter node influence value, describes the level and attenuation characteristics of parameter influence, introduces a time factor to define process parameter combination similarity, objectively reflects the internal correlation of quality indexes based on quality index correlation degree, completes unverified correlation by reconstructing the correlation matrix, introduces a dynamic attenuation term, dynamically adjusts the attenuation degree according to the spraying process combination similarity, and avoids information loss, dynamically adjusts the similarity influence, and optimizes the neighborhood similarity weight, thereby improving the process parameter optimization effect.

The invention discloses a data screening method based on a custom process component, and relates to the technical field of data screening, when a new production scene needs to be processed or an existing process needs to be adjusted, a user can freely combine all functional components in a dragging mode and define a business process meeting specific requirements, and the user experience is improved. And the tedious process of recoding in each change is avoided. Meanwhile, due to the dynamic judgment and path selection functions of the condition nodes, the system can dynamically adjust the follow-up operation path according to the processing result of the actual data, and the adaptability and the response capability of the service process are further improved. Finally, according to the scheme, an efficient, flexible and customizable solution is provided, the development and maintenance cost is greatly reduced, and variable production requirements can be rapidly met.

The application discloses a kind of visual ETL process data processing method, device, computing device and storage medium.It is according to the technical scheme provided in the application, define process component, the function operator of the process component and process control expression;In the icon corresponding to the process component is combined in visual platform, constructs ETL process;According to the function operator of the process component and the process control expression, determine ETL process function expression;According to ETL process function expression, online ETL process.Through the application, ETL process can be constructed, and different dimensions in ETL process function expression are pre-checked, the ETL process is optimized from function operator, cyclomatic complexity and the like, simplifies ETL process function expression, greatly reduces the complexity of the ETL process and the probability of error, improves information expression efficiency, while monitoring ETL process by slicing preset mode, improves the maintainability of ETL process.

To provide a novel architecture for a process control system in an industrial process plant.SOLUTION: A software defined control system comprises: a data cluster that includes a plurality of computing nodes, wherein each of the computing nodes includes a processor executing the instance of an operating system, a memory, and a communication resource coupled to one or more other computing nodes in the data cluster; a first container that is instantiated on a first computing node; and a second container that is instantiated on the first computing node. The second container is a second isolated execution environment executing one or more first services on the first computing node within the instance of the operating system of the first computing node, and is in the first container.SELECTED DRAWING: None

A process control system includes a plurality of field devices operating to control a process. A communication infrastructure couples the field devices to a software-defined control system (SDCS) that receives data from the field devices and transmits instructions to the field devices. A data cluster, executing the SDCS, includes a plurality of computing nodes, each of which includes a processor executing an operating system, a memory, and a communication resource coupled to one or more other computing nodes in the data cluster. First and second containers, each of which is an isolated execution environment, are instantiated on a first computing node within the operating system of the first computing node. The second container is instantiated within the first container. The first and second containers correspond to levels of a hierarchical structure of the SDCS.

The invention discloses a form process processing method based on a Magic-API (Application Program Interface) plug-in mechanism, which comprises the following steps of: creating a multi-element plug-in in a Magic-API to obtain metadata information; designing and creating a database; generating a DSL (Digital Subscriber Line) structure through a form in combination with metadata information, and generating a dynamic form generation process definition through a visual tool based on a form engine; generating a data interface related to the form; associating the data interface with the dynamic form; defining a process node and a flow rule thereof through the process plug-in, and associating the process node with the corresponding form; the multi-element plug-in is packaged, and a user achieves form process processing through the multi-element plug-in. A data interface is associated with a dynamic form, and a corresponding form is automatically loaded when a task is executed; based on a Magic-API multi-element plug-in, a form template, a data interface and other related functions are dynamically generated according to metadata and are dynamically compiled and published, and a large amount of code modification does not need to be carried out.

The embodiment of the invention provides a model process data processing method and system, computing equipment and a readable storage medium, and relates to the field of quayside container crane model application. The method aims at solving the problem that an existing design model is low in utilization rate and information flow splitting, and consequently the cooperation efficiency is low. The method comprises the following steps: acquiring a design model; performing process processing on the design model based on predefined process rule information to generate a corresponding process model; establishing an association relationship between the design model and the process model, so that the process model can be updated in response to the change of the design model; and outputting engineering data meeting manufacturing requirements based on the process model. And the design model is automatically processed to generate the process model, so that intelligence and automation of the process design are realized. And by designing a dynamic association mechanism of a process model, the synchronism and consistency of data change are ensured. And engineering data required by manufacturing is directly output, and a design-process-manufacturing data flow is broken through.