15 results about "Work flow" patented technology

The present application belongs to the technical field of fault monitoring, and particularly relates to a kind of electric wire production line collaborative fault monitoring method and system based on PHM, method includes: obtaining the work flow data of electric wire production line, extract abnormal feature data, determine current abnormal work station and collaborative production work station set, control each collaborative production work station in collaborative production work station set Production equipment executes preset test, filters out dominant fault work station and non-dominant fault work station;According to the test response data and historical operation data corresponding to the non-dominant fault work station, generate work station health assessment result, and according to work station health assessment result, the production equipment of non-dominant fault work station is managed healthily.The present application solves the technical problems that in the prior art, when abnormal detection is carried out for a single work station, only the current single abnormal work station is processed, other work stations are ignored, the influence of fault work station is ignored, leading to incomplete monitoring, and weak fault prediction ability.

The application provides an industrial resource scheduling management method and an industrial resource scheduling intelligent agent system. The method comprises the following steps: obtaining an industrial decision task and industrial data; constructing a project-level organization unit according to the industrial decision task and the industrial data; the project-level organization unit comprises resource information, supply chain information, a work flow template, an entity set, a template snapshot, a parameter set and a historical example; determining an algorithm scheduling result according to the industrial decision task and the project-level organization unit; the algorithm scheduling result comprises a problem category identification result, an algorithm, corresponding parameters and an algorithm interface. An executable work flow template is constructed according to the industrial decision task and the project-level organization unit; the executable work flow template comprises a plurality of execution nodes and a connection relationship between the execution nodes; and the executable work flow template is executed according to the algorithm scheduling result to generate corresponding execution records. In a complex industrial resource scheduling scene, the reusability and efficiency of industrial resource scheduling are improved.

1. The name of the design product: graphical user interface of AI assisted software development program for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface displayed on the screen of the electronic device, which is the existing design. 4. The picture or photo that best indicates the design points: design 1 front view. 5. No design points, omit rear view, left view, right view, top view, bottom view. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: this graphical user interface is used for AI intelligent work assistant program in software development scenario, in design 1, 2, 3 front view, users can view the work flow list and key data.

Provide a system. 【Solution means】 Sensor means for collecting environmental information, Artificial intelligence means for analyzing the data received from the sensor means and generating a work flow, Device means for executing the generated work flow, Communication means for controlling the device means, Reporting means for providing analysis content and work status, Interface means for the user to provide feedback, Means for managing an urban environment farm, A system including the above.

Embodiments of the present disclosure disclose a flexible job shop scheduling method, device, medium and product. The method comprises: obtaining current state information of a work flow, wherein a dependency relationship between processes is uniformly described by a directed acyclic graph; determining a set of currently executable processes based on the current state information and the directed acyclic graph; inputting the current state information and the set of executable processes into a reinforcement learning model to decide a process to be executed and assign a machine to the process; and executing the process. Embodiments of the present disclosure can accurately model complex dependency relationships between multiple processes of different jobs, generate optimized process scheduling decisions, adapt to dynamic job arrivals, and fully utilize the parallel processing capabilities of machines.

The application discloses an intelligent project special consultation management system and method based on multi-source data fusion, and belongs to the technical field of engineering project management. The method comprises the following steps: accessing multi-source heterogeneous data through a unified data platform, and performing deep fusion based on a semantic alignment algorithm to generate semantic enhanced structured data packets; dynamically scheduling special work flows and tasks based on reinforcement learning; realizing multi-special model coupling simulation through a model federation interface, and performing policy analysis and risk prediction by using AI; constructing a knowledge graph based on a graph neural network to realize intelligent causal reasoning and detection of cross-special conflicts; finally, generating a visual report in a multi-person collaborative three-dimensional immersive environment, and archiving the whole-process knowledge to a graph database to support system self-evolution. The application realizes the whole-process intelligentization from data fusion, intelligent analysis, collaborative management to knowledge sedimentation, and significantly improves the efficiency, quality and collaboration level of special consultation.

The application discloses a multi-type property maintenance work order automatic generation and management method and system, and the method comprises the following steps: triggering a timing task according to the execution time of a maintenance plan, and judging whether the maintenance plan is overdue; when the maintenance plan is not overdue, creating a work order record and writing the work order record into a business data table, and starting a work flow instance with a business primary key in the same database transaction; the work flow instance triggers an execution listener in a node flow process, updates a work order processing state, and executes corresponding business logic according to a node identifier; a timing job record is written in a user task node, a work order timeout mark is updated and a timeout alarm is sent when a timeout deadline arrives, so that the work order automatic generation, process linkage and timeout control are realized.

This invention discloses a work process control method, terminal equipment, and storage medium. It utilizes a visual identifier (such as a safety helmet with directional features) that operators naturally wear upon entering the workshop, is stably identifiable from a vertical top-down view, and represents the axial orientation of the human body during work. This serves as a contactless, unobtrusive human-computer interaction intent sensor. By tracking the spatial position and orientation of this visual identifier, the system can silently perceive, understand, and verify manual operations without requiring any additional actions or clothing from the operator. This achieves seamless closed-loop control of the work process, representing a breakthrough in the interaction paradigm from "human reporting" to "environmental perception."

The application provides a square pier construction formwork turnover device and a construction method thereof, and the traditional formwork turnover method is reformed, so that the protection assembly and the shaped formwork assembly are separated, the protection assembly and the outer formwork are separately hoisted through cooperation of the connecting block and the sliding rail 1, the work flow can be simplified, and the formwork turnover efficiency is improved without assembling and disassembling the protection assembly during the bridge pier formwork turnover; compared with the traditional formwork turnover method, the outer formwork of three layers or more than three layers needs to be sequentially turned up, and part of the protection assembly is welded on the outer formwork, so that the demand for construction materials is large, the formwork turnover can be performed through cooperation of two layers of the outer formwork and one layer of the protection assembly, the demand for construction materials is small, and the construction period can be shortened.

The application relates to a kind of package box centering devices and systems, by setting the centering assembly that can be lifted as a whole, it can be completely stored under the support platform when standby, effectively avoid the motion interference with incoming package box, simplify the production line layout and improve the smoothness of work flow;When working, the centering claw passes through the through hole of the support platform and rises, and is driven by a synchronous driving mechanism to perform centripetal motion, which ensures the high synchronism and consistency of all centering claw actions, realizes the quick and stable centering of the package box. At the same time, the positioning is carried out by abutting and limiting the firm corner of the package box from multiple directions, which ensures the positioning accuracy while avoiding the extrusion of the soft side wall of the package box, effectively preventing the deformation or damage of the material during the centering process.

The application provides a bearing ring machining device, and relates to the field of bearing ring machining. In order to solve the problem that the end face, the inner circle and the outer circle of the bearing ring are ground by multiple devices in the prior art, the bearing ring machining device needs multiple feeding, transferring and waiting, the process flow is long, and the machining efficiency is low. The grinding mechanism is arranged, the end face, the inner circle and the outer circle of the bearing ring are ground by the grinding mechanism, the transferring of multiple devices is reduced, the work flow is reduced, and the work efficiency is improved. The grinding mechanism is arranged, the problem that the machining continuity is reduced due to manual feeding in the prior art is solved. The grinding mechanism is arranged, the problem that the machining quality is reduced due to the accumulation of grinding debris and the scratch of the machining surface in the prior art is solved. The grinding mechanism is arranged, and the problem that the service life of the bearing ring is reduced due to the accumulation of grinding heat in the prior art is solved.

The application relates to a game value generation and verification method, device and system, which acquires user input information, judges an intention, and identifies the operation intention of the user; determines a target work flow based on the operation intention and executes the target work flow; performs executability verification on game value data obtained after the target work flow is executed; executes simulation by using the verified game value data after the verification is passed, and outputs a simulation result; the device comprises an intention judgment module, a work flow execution module, a verification module and a simulation module; and the system is realized based on the method. The application significantly reduces the professional threshold of game value design, shortens the development cycle, reduces the error risk caused by manual conversion, has intelligent balancing and optimizing capabilities, improves the naturalness and convenience of human-computer interaction, and has good universality and long-term application value.

This invention provides a method and system for intelligent tunnel construction site management. The method includes constructing a three-dimensional spatial model of the tunnel and discretizing the construction area into tunnel spatial grid units with unique spatial identifiers; deploying multi-source sensors in each grid unit to collect monitoring data such as gas concentration, dust concentration, temperature and humidity, surrounding rock deformation, vibration intensity, equipment operating status, and personnel density; calculating the risk intensity and evolution direction based on this data to form a risk flow field that changes over time; parsing each process into work units and mapping them to corresponding grid units; constructing a construction plan adjustment model based on the coupling results; optimizing work time, work sequence, and work area; forming a construction adjustment plan that includes work adjustments and temporary closure of sections; and finally, distributing the adjustment plan to the on-site execution terminal to monitor the construction status in real time and periodically update the risk flow field and work flow field, thereby achieving dynamic control of the tunnel construction process.

The invention provides a machine learning assembly line framework oriented to end-side cloud collaboration and an implementation method. The framework is oriented to an end-side cloud collaboration architecture and a machine learning algorithm model for processing complex problems. A machine learning modeling engine oriented to workflow, componentization modeling and assembly line modeling is constructed, visual interactive modeling design is supported, algorithm component libraries such as big data processing, machine learning and deep learning and user-defined component functions are provided, and services such as hyper-parameter search, timed task scheduling, process visualization and online tool development are supported. The full-life-cycle efficient service support of a machine learning algorithm from code development to model construction to operation scheduling to issuing deployment is realized, and high-frequency modeling, training, experiment and deployment are supported, so that the requirements of frequent iteration and rapid application of an algorithm model in an actual task of a user are met.