114 results about "Work flow" patented technology

The invention discloses a power system simulation analysis intelligent agent system and a simulation analysis method. According to the method, the power system simulation analysis intelligent agent system comprises an interface layer used for receiving a user instruction and feeding back a task result in multiple modes; the workflow layer comprises a main agent and is used for analyzing a user instruction and generating and driving workflow for executing simulation analysis according to the task knowledge base; the skill layer comprises a plurality of sub-agents and is used for packaging and executing specific sub-tasks in the workflow; the tool / knowledge layer is used for providing a standardized calling interface for external tools and storing data and knowledge required by task execution; and the business system layer comprises one or more existing power system simulation business systems and is used for providing basic data, computing services and interaction components for the tool / knowledge layer.

The invention provides an open pit coal mine safety management and control method and device, electronic equipment and a storage medium, and relates to the technical field of mine field safety protection. The position of a key person is obtained in real time, whether the key person enters a corresponding operation area or not is verified, associated video monitoring is automatically triggered according to the in-place state of the person, safety measure execution is verified through real-time mapping of a video stream and an operation process state, and early warning is conducted when the safety measure execution is abnormal. The problems that in the prior art, due to the fact that a'process-position-video 'triple closed-loop verification mechanism is not formed and multi-source data space-time alignment and dynamic verification are not achieved, the security measure execution rate is insufficient, supervision lags behind, positioning data staticization is caused, video coverage is not matched, approval information is delayed, and data errors exist can be solved.

The invention discloses a concrete pouring control system applied to bearing platform construction, and relates to the technical field of pouring control. The system comprises a coordinate system construction module, a first section pouring measurement module, a position calculation and deformation compensation module, a multi-section pouring monitoring module, a construction quality verification and adjustment module and a bearing platform construction quality inspection module. The working process comprises the following steps: constructing a coordinate system, considering the shape and size difference of the bearing platform, and quickly positioning by using portable measuring equipment; the first section pouring measurement ensures the data accuracy; a compensation mechanism is introduced into position calculation and deformation compensation; accurate control is achieved through multi-section pouring monitoring; construction quality verification and adjustment ensure that the bearing platform position is accurate; carrying out bearing platform construction quality inspection to inspect whether a bearing platform meets design requirements or not; and processing and analyzing measured data in real time, monitoring construction quality and progress, and adjusting construction parameters. According to the method, the precision and efficiency of bearing platform construction are improved, the construction risk is reduced, powerful support is provided for follow-up consulting and tracing, and the quality and progress of bearing platform construction are ensured.

The application provides a work recognition method, device and equipment and a crane. The work recognition method comprises the following steps: acquiring work data of a mechanical device; extracting work features in the work data, wherein the work features are determined according to actions performed in a work process of the mechanical device; and in the case that the work features match a work flow of a target working condition, counting the work data as target work data matching the target working condition. According to the technical scheme of the application, the target working condition can be recognized according to the work data of the mechanical device, so that the work data of the mechanical device related to the target working condition is effectively developed and utilized, and the data value of the work data of the mechanical device is fully tapped.

The invention discloses a service flow generation method and a related device. The service flow generation method comprises the following steps: receiving a target natural language description related to a target service input by a user in a description interface; analyzing the target natural language description by utilizing the generative model to obtain target attribute parameters of a plurality of target components; respectively filling the target attribute parameters of the plurality of target components into the component metadata template by utilizing the generative model to obtain metadata corresponding to the target components; arranging metadata of a plurality of target components by utilizing the generative model to obtain a target logic model; and obtaining a workflow of the target service based on the target logic model. According to the scheme, the workflow development cost can be reduced, the development efficiency is improved, the flexibility is high, and the adaptability is high.

The invention provides a fault processing auxiliary method and system based on AR intelligent glasses, and relates to the technical field of auxiliary fault processing, and the method comprises the steps: employing the AR intelligent glasses to scan a unique ID of a target device, calling a maintenance workflow from a pre-constructed risk library according to an analysis result, and carrying out the maintenance workflow, analyzing maintenance steps in the maintenance workflow, marking risk steps, and adding a blocking process; if the current step is the risk step, blocking is triggered, the blocking is relieved after the overhaul end confirms feedback, and the risk step in the overhaul workflow continues to be executed. According to the method, the blocking process is added before the risk step, and the blocking process is removed after the confirmation feedback of the maintenance end is received, so that the safety of the maintenance process can be effectively improved.

The utility model discloses a keyboard bracket convenient to adjust, which relates to the technical field of keyboard brackets and comprises a fixing frame, a clamp is fixedly connected to the top end of the fixing frame, a locking bolt is screwed to the top wall of the clamp, a sliding plate is slidably connected into the fixing frame, and a baffle is fixedly connected to one end, far away from the fixing frame, of the sliding plate. A placing frame is hinged to the side wall, close to the fixing frame, of the baffle, a placing groove is formed in the top wall of the placing frame, and an adjusting assembly is installed between the end, away from the baffle, of the placing frame and the sliding plate. According to the utility model, the threaded screw rod is easily rotated through the knob, and the threaded seat is in threaded fit with the threaded screw rod, so that a user can conveniently and quickly adjust the vertical position of one end of the placement frame, thereby realizing the quick adjustment of the pitching angle of the keyboard, simplifying the adjustment steps, ensuring the smoothness and high efficiency of the adjustment process, and improving the working efficiency. According to the invention, a user can carry out angle fine adjustment at any time according to personal preference or body comfort without interrupting the working process, so that the convenience and flexibility of use are greatly improved.

The application is suitable for the technical field of project process management and control, and provides a project whole-process intelligent management and control system based on unified coding, which comprises: a unified coding unit, which is used for generating a unique identification code when a project is established; a process driving unit, which is used for automatically generating a notice document, updating a project stage state and an approval state, and tracking an execution progress of a work flow instance in real time; a data processing unit, which is used for collecting multi-source data with the unique identification code as an index, and performing data preprocessing; a service output unit, which is used for providing a subscribable data service based on the unique identification code, implementing data desensitization management and control, and storing data according to a procurement dimension to generate analysis results; a fusion gateway unit, which is used for connecting heterogeneous system data with the unique identification code as an index; a monitoring unit, which is used for monitoring a work flow running state and triggering an alarm when an exception occurs, and monitoring data processing quality and interface service state; and a comprehensive and accurate data basis is provided for procurement projects.

The invention provides a log analysis method based on an intelligent agent. In the method, firstly, a first command is received, and a first log is obtained based on the first command; secondly, on the basis of the context of the first log and the first cue word, a network object entity contained in the first log is recognized through a large model agent, the large model agent comprises a large model, and the large model is guided by a network object entity rule; the first prompt word is used for guiding the large model to identify the network object entity and the position thereof in the first log. Next, in response to a selection operation on a target network object entity, a second command is triggered, the target network object entity belongs to the network object entity contained in the first log, and the second command is generated through the large model agent according to the target network object entity, a second prompt word and a network object entity rule. Finally, a second log is obtained based on the second command. The method solves the problems that in traditional command operation, the information needs to be manually copied and pasted, a new command needs to be input, operation is tedious, and workflow is interrupted.

A system, apparatus and method are provided for operating a medical instrument with an automated surgical system such that the instrument starts and stops automatically depending on its location, orientation, and / or other information. Thus, instead of requiring continual supervision by a surgeon and / or other personnel, one or more functions of the instrument can be activated, paused, reactivated, or deactivated through normal manipulation of the instrument without interrupting or impeding the work flow. A volume of operation for a medical procedure may be identified manually or automatically, based on the nature of the procedure, the part of a patient's body involved in the procedure, and / or other factors. When the automated surgical system detects entry of the instrument into the volume of operation, the instrument is automatically activated and is subsequently automatically deactivated upon departure from the volume of operation.

The invention belongs to the field of nano material preparation and modification, in particular to a novel integrated nano material preparation and modification device and method. In view of the existing problem that operators need to use multiple devices to perform corresponding steps separately, which makes the workflow more cumbersome, not only reduces the original efficiency, but also increases the cost of equipment investment, the following scheme is proposed, which includes a device body, wherein a lower chamber and an upper chamber are provided inside the device body, and the top of the lower chamber is connected to the bottom of the upper chamber; a solution mixing chamber for mixing solutions, wherein the solution mixing chamber is provided on one side of the top of the device body, and the solution in the raw material is added to the inside of the solution mixing chamber and stirred and mixed to form a precipitate, which is then pumped into a screening plate and washed to remove impurities, and then the precipitate can be collected by a driving component, and then taken out for drying and calcination to complete the preparation of nano powder.

Embodiments of the present application disclose a robot path arrangement method, a robot, a computer device and a computer readable storage medium. The method comprises the following steps: performing standardization processing on an acquired scene map to obtain map data, the map data being composed of at least one structured point; matching a corresponding scene material for each structured point based on the map data; and arranging a work flow according to the scene material and the structured point, and issuing the work flow to the robot. Therefore, the present application can automatically generate a work flow based on a map and matching materials, reduce additional personnel operations, and realize end-to-end automation of a closed loop from map analysis to work flow landing.

The application belongs to the technical field of computer software data processing, and particularly relates to a public employment service standardization processing method based on a work flow configuration. The method acquires public employment service matter configuration data and standard data elements, splits the matter configuration data into multiple handling nodes, and binds input data elements, output data elements, trigger conditions, pre-depending conditions and mutual exclusion conditions for the handling nodes; generates a matter constraint graph according to the handling nodes, the standard data elements and the binding relationship, and performs topology, repeated collection, condition coverage and rule reference consistency checking on the matter constraint graph; after the checking, compiles the matter constraint graph into a work flow description file containing node execution sequences, field mapping relationships and rule indexes, and creates a standardization processing process instance according to the work flow description file. The application can locate configuration defects before the process is published, reduce process running interruption and field mapping errors, and improve the consistency and traceability of the public employment service matter configuration.

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.

The application provides a radar large target simulation system and method based on real-time dynamic convolution, wherein the system is controlled by a master control unit; the master control unit is used for completing the control of a work flow and a mode, the configuration and issuing of parameters, the receiving and display of a work state, the display and analysis of waveform data, the issuing and management of a playback file, and has the ability of receiving remote control; a medium frequency unit is used for completing the analog-digital conversion of a channel signal and the modulation of a target echo signal; a micro wave unit is connected with the medium frequency unit and is used for completing the up-conversion and down-conversion of a radio frequency signal, power modulation and detection output functions. The application can complete the echo simulation of a large body target by only performing real-time dynamic convolution on the target characteristics in the radial distance dimension, and can be completed by consuming a small amount of FPGA multiplier resources. The strong scattering points are divided according to the radial distance dimension, and the convolution position is flexibly adjusted, so as to reduce the actual convolution point number and save the multiplier resources.

The invention discloses an intelligent automatic test and control method and system for a relay protection and measurement and control device, and relates to the technical field of power system automation, and the method comprises the steps: building communication between a central synchronous automatic test platform and at least two relay protection testers which are respectively connected to a to-be-tested device; the platform defines a whole-station test job comprising a plurality of independent single-device test tasks; the platform executes an intelligent task scheduling process, and automatically selects a to-be-executed task from the operation and issues the task by continuously monitoring the working states of the testers when detecting that any tester is idle; the testers receiving the task autonomously execute a closed-loop automated test sequence. The corresponding system is a central platform provided with a task scheduling module, a tester communication interface and a database. According to the invention, by constructing a test system with centralized scheduling and parallel execution, the serialized workflow is converted into efficient system-level automatic operation, and the test efficiency of the whole station is improved.

The application discloses a steel detection and chemical analysis laboratory humanoid robot simulation method based on IsaacSim, relates to the technical field of humanoid robot simulation methods, and comprises the following steps: step 1, fine modeling of the environmental elements of a steel detection and chemical analysis laboratory; step 2, collection of a humanoid robot model in an IsaacSim simulation environment; step 3, configuration of the work flow of different tasks of the robot in the simulation scene; step 4, collection and analysis of the data of the robot when performing a task in a virtual environment; and step 5, feedback adjustment of an algorithm or control parameters based on the simulation results to improve the adaptability and stability of the robot in a complex laboratory environment. Through the method, a user can comprehensively verify an algorithm in a simulation environment, including a control algorithm, a visual recognition algorithm, a motion planning algorithm and a series of key algorithms of the humanoid robot, so that the stability and effectiveness of the humanoid robot in an actual environment are ensured.

The utility model discloses an anti-lost gel pen, which comprises a fixed gel pen main body formed by a fixed seat, a pen cap rotatably arranged on the fixed seat, a pen body connected on the pen cap and a connecting wire which is spirally arranged and connected between the fixed seat and the tail end of the pen body, a pressure sensor used for detecting the pressure of a pen point arranged at the head end of the pen body is arranged at the bottom of the pen cap, and an alarm connected with the pressure sensor is arranged on the fixing base. According to the gel pen, the connection state between the pen body on the gel pen and the pen cap on the fixed seat can be detected in real time, a user is reminded to return the gel pen in time, unnecessary damage and loss phenomena of the gel pen are reduced, and the use stability of the gel pen is improved; the use cost is saved, meanwhile, the unnecessary influence on the working process of workers in corresponding use places is effectively reduced, and the working efficiency of the workers is further improved.

An automatic analysis device is provided with: a sample disk for holding a sample container that accommodates a sample; a reagent disk for holding a reagent container that accommodates a reagent; at least two different measuring units that respectively perform different types of analyses; a control part that controls the measuring units; and a display part that displays: a work flow area in which the flow of operation of the two or more measuring units is displayed; and an overview area in which the usable or unusable states of the respective measuring units are displayed, wherein the overview area has a unit necessity-of-use selection part that can select whether using each of the measuring units is necessary, and the control part controls the display part so as to change the display of the work flow area on the basis of the information set in the unit necessity-of-use selection part.

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.

The utility model discloses a gravity type material distributing and sampling device, which relates to the technical field of sampling equipment and comprises a material pipe, a sampling piece, a material storage tank and a driving piece, the material pipe is provided with a conveying cavity for conveying materials, the sampling piece is rotatably connected to the material pipe, and one end of the sampling piece extends into the conveying cavity and is used for receiving the materials in the conveying cavity. The storage tank is arranged below the end, away from the conveying cavity, of the sampling part, the driving part is arranged on the outer wall of the material pipe, and the driving part is connected with the sampling part and used for driving the sampling part to rotate, so that materials received by the sampling part in the conveying cavity slide into the storage tank. When the sampling piece receives the materials, the driving piece can be controlled to drive the sampling piece to rotate to be in an inclined state, so that the materials, located at the end of the conveying cavity, of the sampling piece can slide to the other end of the sampling piece through self gravity and then fall into the material storage tank. Therefore, in the whole sampling process, the materials are collected mainly through the gravity of the materials, the structure and the working process of the sampling device are simple, and the working efficiency is high.

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.

The application discloses a kind of work flow and evidence data security transmission method for material research and development intelligent agent, comprising the following steps: S1. system initialization constructs four-section work flow message package;S2. the system performs the preset semantic check of semantic field and constraint field of the message package, and if check fails, generates a refusal reply and refuses to send or receive the message package passing check;S3. the system performs standardization serialization processing to the message package passing check, obtains a standardized object, calculates a standard hash value based on the standardized object, and simultaneously calculates a load hash value based on the key field of the message package in step S1, performs digital signature on the standard hash value to obtain a digital signature result.The application makes research and development semantics, evidence reference and version traceability as mandatory fields of the protocol, and matches standardization serialization, signature verification, idempotent, version negotiation and playback strategy, so that cross-system transmission not only "can reach" but also "reaches credible, auditable and reproducible".

The embodiment of the invention discloses an information determination method. The method comprises the following steps: determining a target grid structure corresponding to a to-be-monitored area; wherein the target grid structure represents different working areas in the to-be-monitored area and job flow information among the different working areas; after determining that the work of the to-be-monitored object of the to-be-monitored area is completed, determining the workload of each grid in the target grid structure; wherein the grids and the working area have a corresponding relation; and determining the workload of each to-be-monitored object based on the working time of the to-be-monitored object in each working area and the workload of each grid. The embodiment of the invention further discloses an information determination device and equipment and a computer storage medium.

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.