82 results about "Work task" patented technology

The invention discloses a device redundancy backup method and system based on intelligent identity switching, and belongs to the technical field of data processing, and the method comprises the steps: if the current state of a main device is a fault state, extracting the identity and work task information of the main device in the fault state, and issuing an identity and work task switching instruction to a standby device; after receiving the identity and work task switching instruction, the standby equipment modifies the address of the standby equipment into the address of the main equipment in a fault state according to the identity information of the main equipment, and loads software configuration and a work task program of the main equipment in the fault state according to the work task information of the main equipment; and updating the current states of the main equipment and the standby equipment in the equipment information table. According to the equipment redundancy backup method and system based on intelligent identity switching, the problem that a special redundancy controller needs to be additionally arranged in a traditional equipment redundancy backup mode, so that the hardware cost and the configuration complexity of a whole set of system are increased is solved.

The invention discloses a multi-working-condition collaborative operation scheduling method for a wheel bucket excavator, a medium and computer equipment. The method comprises the following steps: acquiring operation data of the wheel bucket excavator and transportation equipment in real time, wherein the operation data comprises an operation equipment state, an operation task emergency degree and a material value; and extracting working condition characteristics such as excavation strength of the wheel bucket excavator under stripping and mining working conditions. An evaluation matrix is constructed by using an improved analytic hierarchy process, a digital twinning model is constructed in combination with data and features, and online learning is performed by using a federated learning framework. And dynamically adjusting task priorities by utilizing learning results, calculating a matching degree, determining a scheduling strategy and scheduling equipment until all tasks are completed. By constructing a multi-source sensing and digital twinborn model and combining a dynamic priority evaluation and self-adaptive task allocation technology, intelligent collaborative scheduling of the wheel bucket excavator under multiple working conditions is realized, so that the working efficiency, the equipment utilization rate and the anti-disturbance capability are improved, and the purposes of reducing energy consumption and guaranteeing production continuity are achieved.

The invention provides a self-adaptive non-invasive physiological regulation and equipment cooperation method for high-altitude operating personnel, which comprises the following steps of: gathering physiological parameters, environment monitoring data and task information of the operating personnel in real time through edge computing nodes deployed in an operating site, and dynamically evaluating altitude stress risk levels and inducements of the operating personnel based on preset rules; according to the risk assessment result and the current working mode, an accurate parameter regulation and control instruction for personnel protection equipment is intelligently matched and executed, collaborative operation suggestions for forestry operation equipment such as chain saws and patrol unmanned aerial vehicles are generated, and the operation parameters or operation behaviors of the forestry operation equipment are guided to adapt to the physiological states of personnel. According to the invention, closed-loop linkage and self-adaptive cooperation among the personnel physiological state, the environmental load and the operation task are realized, continuous and personalized non-invasive physiological support and safe operation guarantee can be provided for the operation personnel under complex field conditions, and the intelligent level and operation safety of high-altitude forestry management are remarkably improved.

The invention belongs to the field of self-moving equipment, and provides a path planning method, equipment and a storage medium. The method comprises the following steps: when the self-moving equipment moves along a first path in working paths, determining a detection point according to a first end point of the first path and a first preset distance; if the detection point is located outside the working area corresponding to the working path, determining a second end point based on the first end point and a second preset distance, and determining a third end point based on the second end point and a second path connected with the first path in the working path; and according to the current position point, the second end point and the third end point of the self-moving equipment, re-planning the working path to obtain a target path. The method can ensure that the self-moving device moves to the actual area boundary, and can prevent the self-moving device from missing to execute the work task.

The invention discloses an industrial robot path planning method and system based on adaptive control, and the method comprises the steps: obtaining a work task of an industrial robot, and determining a plurality of intersection nodes according to a task starting point and a task terminal point; determining a working path by applying a path planning algorithm according to the plurality of intersection nodes; executing a working task according to the working path, and performing real-time sampling in the advancing process to obtain sampling data; performing operation according to the sampling data to generate a local path between every two intersection nodes; and executing the work task according to the work path and the local path. After the global working path is obtained through the optimal path algorithm, the road condition of the local path in the advancing process of the industrial robot is determined through real-time sampling of the local path, then the optimal solution of the local path is planned according to the sampling data, self-adaptive control over the path of the industrial robot is achieved, the advancing path can be updated in real time in combination with the real-time road condition, and the working efficiency is improved. Therefore, the industrial robot has good obstacle avoidance performance and can better complete work tasks.

This invention relates to the field of data processing and discloses a method, apparatus, computer device, and readable storage medium for generating Gantt charts. The method includes: acquiring user stories of the iterative process of a target task; determining the iteration data corresponding to each user story; determining the cycle of each task and the task completion progress of each target task subject, thereby obtaining the individual work status of each target task subject; and finally, generating a Gantt chart based on the iteration tag, cycle, task completion progress, iteration plan start time, iteration plan end time, and each target task subject. Based on this, the present invention enables the Gantt chart to display the work status of different target task subjects under the same target task, and to reflect the overlap of R&D resources / development resources in the development process of the target task, thereby clearly displaying the development progress of the target task.

This application relates to a vehicle control method, device, computer equipment, storage medium, and vehicle. By acquiring work task information, vehicle location information, and first location information of the target working machinery, the method determines whether the work task is a loading task based on the work task information. When the work task is a loading task, the method acquires vehicle information including the location information of the trailer center point. Based on the vehicle location information, work task information, second location information, and vehicle information, the method determines a first parking point so that when the vehicle stops at the first parking point, the trailer center point coincides with the projection point, enabling the target working machinery to smoothly load goods onto the vehicle's trailer and improving work efficiency.

The application discloses a brain-computer interface control method and controller responding to a work task and a storage medium, and relates to the technical field of artificial intelligence. The brain-computer interface control device deeply integrates artificial intelligence and brain-computer interface technology through a whole-process technical scheme of collecting reference features, calibrating task-specific signals, generating behavior-inducing stimuli, constructing a training model supporting individual fine-tuning, and establishing a multi-task model library, thereby solving the core pain points of low traditional training productivity, poor action standardization, and long multi-skill transfer training period, ensuring the accuracy of standardized behavior sequence induction and the reliability of individual difference adaptation, and efficiently realizing large-scale and standardized specific work task response training of similar work objects to be trained.

The invention provides a work content and progress plan association method, system and device based on a BIM model. The method comprises the steps that the BIM model of a project is acquired; obtaining a progress plan library of the project; performing dynamic code association based on the component identification code of each component in the BIM model and the progress plan code in the progress plan library to obtain an associated BIM model; acquiring a post work content library; the post work content code is consistent with the progress plan code; and based on the progress node of the associated BIM model, triggering a post work task corresponding to a post work content code which is the same as the progress plan code in the post work content library, and sending the post work task to a corresponding post worker. According to the invention, the post work content and the progress plan can be associated by using the component identification code, the progress plan code and the post work content code based on the BIM model, so that the project construction management efficiency is improved.

The invention discloses a wafer processing method and device and electroplating equipment, and the method comprises the steps: judging whether a to-be-electroplated wafer exists in a wafer box or not, and enabling the wafer box to be located in an EFEM; if yes, at least one wafer in the wafer box is bound with a work task flow, and the work task flow comprises all process instructions of taking the wafer out of the taking and placing position in the wafer box and then placing the wafer back to the taking and placing position after electroplating is completed; judging whether the work task flow needs to be executed on the wafer or not; and if yes, executing a process instruction in the work task flow, so that the wafer is taken out from the taking and placing position in the wafer box, then the process instruction is completed, and the wafer returns to the taking and placing position. By means of the method, the work task flow binding is carried out on the wafer, all the process instructions are executed on the wafer needing to execute the process according to the bound work task flow, automatic execution of the whole process flow of the wafer can be achieved only through one-time binding, repeated instruction issuing is not needed, the wafer electroplating efficiency is greatly improved, and time is saved.

Methods and systems are provided for controlling automatic travel of a power machine, particularly a mower. A set of points associated with a geographical area can be used to define a work path for a work task associated with the geographical area. The power machine can be controlled to perform the work task by traveling along the work path.

A robot system (1) with at least one robot (2) and at least two robot arms (5) and a method for performing a work task with a robot system (1) with at least one robot (2) and at least two robot arms (5) are proposed, which are configured to perform a work task with at least one end effector (6), wherein an adaptive base module (4) on a base (3) of the at least one robot (2) is configured to hold the at least two robot arms (5) at their respective bases (9a) and to assume at least two different operating states (A, B, C, D) adapted to the respective work task.

The invention provides an AGV traffic control method and device based on a dynamic obstacle avoidance line, electronic equipment and a computer readable storage medium, and the method comprises the steps: calculating a deceleration obstacle avoidance line, a parking obstacle avoidance line and the contour position of the deceleration obstacle avoidance line, the parking obstacle avoidance line and the contour position in real time, judging the intersection relation between the obstacle avoidance lines and between the obstacle avoidance lines and the contour, dynamically generating a deceleration, parking or operation recovery instruction, and achieving the traffic control of the AGV. The method has the advantages that the process is simple, the control strategy is stable, deceleration, parking and operation recovery of the AGV on the operation path can be controlled in real time, the AGV is guided to orderly complete operation tasks in a multi-vehicle operation area without conflicts, and the problems of traffic jam and safety in a multi-AGV operation scene are effectively solved.

The invention discloses an edge calculation optimization method, system and device based on double-loop feedback iteration. The method comprises the following steps: firstly, setting a work target based on cross-scene task feature transfer learning through outer circulation, and decomposing the work target into work tasks to be distributed to an edge node group; secondly, working tasks are executed through internal circulation, and execution data are collected in real time; feedback analysis is carried out based on the execution data, deviation types are judged, and inner loop iteration or outer loop iteration is carried out; and finally, simulating an extreme working condition through an iteration effect mirror image evaluation mechanism, and correcting an iteration direction. According to the edge calculation optimization method based on the double-loop feedback iteration model, efficient and self-adaptive optimization of the edge calculation environment can be achieved, and safety, reliability and efficiency are improved.

The invention relates to the technical field of intelligent control, in particular to an intelligent control system of modular office furniture, which comprises a sitting posture analysis module, a height instruction generation module, an in-situ feature extraction module, a light instruction generation module and an adjustment execution module. According to the invention, by synchronously analyzing the continuous change data of the desktop height and the migration trend of the seat pressure distribution, the sitting posture state change of the user caused by work task switching can be accurately identified, and then the desktop is actively adjusted to the personalized preset height conforming to the current posture; dynamic human factor engineering adaptation without manual intervention is achieved, meanwhile, through comprehensive judgment of the average pressure, the pressure instantaneous fluctuation peak value and the static duration, a multi-dimensional in-place state recognition basis is formed, the basis can effectively distinguish real off-seat and transient posture fine adjustment of a user, and the user experience is improved. Therefore, frequent light starting and stopping caused by erroneous judgment are avoided, the use experience is improved, and energy is saved.

This invention provides an AI-based method and system for pushing key work points to all participants in engineering construction. It acquires work point identification information and multimodal on-site data of the construction site, inputs it into a pre-trained large language model, and, combined with a construction site personnel role database, parses the work tasks that different roles should perform at the current work point. Based on the work tasks, it retrieves the corresponding set of responsibility points categorized by role from the work point responsibility knowledge graph. Based on the actual role identifier of the currently accessing user, it extracts the corresponding responsibility points from the responsibility point set, generates a personalized work list, and pushes it to the user. It receives the returned work execution data, compares and verifies it with the responsibility points, generates a digital performance record, and updates the work point responsibility knowledge graph based on it. This invention achieves accurate mapping and digital closed-loop between work points, responsibilities, and personnel based on a large language model and knowledge graph, improving the level of construction site management and collaborative efficiency.

The invention relates to a control method, system and device for an intelligent disinfection management cabinet and a medium, and the method comprises the steps: obtaining an operation task, and generating an operation authorization list according to the operation task; based on the operation authorization list, identity verification is carried out on the cabinet-arriving user, and a target access unit is positioned according to a verification result; acquiring a real-time state of the target access unit, generating in-place data according to the real-time state, and triggering a disinfection instruction based on the in-place data; and performing disinfection in response to the disinfection instruction, obtaining a corresponding disinfection record, performing standard judgment on the disinfection record, and releasing re-authorization under the condition that the disinfection record reaches a preset disinfection standard. The method has the effect of improving the management efficiency of the disinfection cabinet.

This invention discloses a laboratory animal production management system and method based on RFID technology. The management system includes: a task management subsystem, comprising a task allocation module, a task assignment module, a task operation guidance module, a task execution review module, and a task completion module; a staff management subsystem, comprising a staff information collection module; the staff management subsystem is deployed on an interactive terminal located within the target work area of ​​laboratory animal production; a work object management subsystem, comprising an operation information identification and collection module; the work object management subsystem is deployed at work points located within the target work area; and a data information management subsystem, comprising an information transmission module and an information recording module. This invention can improve production efficiency, reduce production costs, and promote the concept of lean production in the laboratory animal industry.

The application provides a task semantic and capability constraint-based work task allocation method and system. The work task allocation method is characterized in that: a task-personnel knowledge graph for a special work scene is constructed by structurally modeling multiple source heterogeneous elements such as tasks, personnel, capability qualifications and work environments; and a subgraph construction and multi-hop correlation reasoning based on task semantic driving are implemented to realize the collaborative matching of task semantic requirements and personnel qualification conditions, and to solve the problems of insufficient task semantic expression, difficulty in reasoning of correlation relationships of heterogeneous elements and lack of explainability and dynamic adaptability of allocation basis in the existing personnel allocation method through the visual expression of reasoning paths and the dynamic updating mechanism of the graph.

The application provides a train basket management system and method for scrap yard batching, which comprises: a basket identification module that acquires material information and position information of the train basket for scrap yard batching; a basket distribution module that, when the basket is in a storage state, distributes the basket to a discharge position according to the position information and material information of the basket, and generates a work task; and a control execution module that controls the corresponding train to run to the corresponding discharge position according to the work task, and controls the carrying device to carry the material in the basket moved to the corresponding discharge position to a stacking area according to the position information of the basket. The application can adapt to the high-temperature, high-dust and complex industrial environment of the scrap yard, ensure high-precision and automatic identification and positioning of the basket, realize full-process automation from information identification, position tracking, intelligent batching to automatic loading and unloading, greatly reduce manual intervention, improve work efficiency, and reduce safety risks and labor costs.

The application relates to an intelligent power tool storage system, which comprises: preset toolboxes, which are classified according to work types, and each of the preset toolboxes is preset with several tools required by work; an interactive terminal, which is used for inputting work task information including work types, outputting tool carrying final suggestion information and real-time pushing alarm information; a multi-dimensional data acquisition system, which comprises an environment sensing device for acquiring environment state information and a state sensing device for acquiring tool use state information; and a cloud management platform, which is used for acquiring work task information, environment state information, tool use state information and historical data of work tasks, and pushing tool carrying final suggestion information and alarm information to the interactive terminal after generation. The application can reduce the dependence on manual operation, realize the intelligentization of power tool storage, improve work efficiency, reduce the risk of tool loss or damage and reduce cost.

This application discloses a big data-based method and system for rail transit safety management, relating to the technical field of rail transit safety management. The method includes: dividing the rail transit operation plan into multiple work tasks; using task environment data to assess the environmental adaptability of different staff; selecting basic personnel for each work task, collecting accident types corresponding to the work tasks, and assessing the safety prevention level of the basic personnel; collecting work information of the basic personnel and assessing their safety maintenance level; combining safety prevention and safety maintenance levels to determine the suitability of the basic personnel to accident types, statistically analyzing the incidence rate of all accident types, and comprehensively selecting suitable personnel; and assigning personnel according to the work task-suitable personnel table to obtain a rail transit safety management plan. This application improves the resource utilization rate of big data-based rail transit safety management.

1.The name of the design product: employee convenient work platform graphical user interface of electronic equipment. 2.The use of the design product: an electronic device for displaying information and interaction. 3.The design points of the design product: the pattern of the graphical user interface. 4.The picture or photo that best shows the design points: front view. 5.There is no design points on the rear view (the design points are in the graphical user interface of the device screen), omit the rear view; there is no design points on the left view (the design points are in the graphical user interface of the device screen), omit the left view; there is no design points on the right view (the design points are in the graphical user interface of the device screen), omit the right view; there is no design points on the top view (the design points are in the graphical user interface of the device screen), omit the top view; there is no design points on the bottom view (the design points are in the graphical user interface of the device screen), omit the bottom view. 6.The use of the graphical user interface: for displaying information and interaction, facilitating employee automation processing work tasks and improving work efficiency. 7.The area of the graphical user interface in the product: on the display screen panel of the electronic equipment. 8.The human-computer interaction mode of the graphical user interface: the graphical user interface of the product is an employee convenient work platform interface; the front view is the first interface of the employee convenient work platform: operation page; click the "add" sign "add-new-technical research project daily report" button on the work daily report block in the front view page, the interface evolves into interface change state diagram 1; click the "add" sign "add-new-work task daily report" button on the work daily report block in the front view page, the interface evolves into interface change state diagram 2; click the "achievement" button on the work daily report block in the front view page, the interface evolves into interface change state diagram 3; click the "work task" tab button on the front view page, the interface evolves into interface change state diagram 4; click the "view details" button on the my message block in the front view page, the interface evolves into interface change state diagram 5.

The application discloses a virtual digital identity-based employee task dynamic scheduling control method and system, relates to the technical field of digital employee task scheduling, and comprises the following steps: collecting the task amount of each time period of different dates and the completion condition of each task; extracting a task density dynamic threshold value, performing weight distribution processing, and obtaining time cost weight data; obtaining the time weight and cost weight of the current date based on the time cost weight data, simultaneously scheduling multiple tasks based on an auction algorithm mechanism, and obtaining all selectable scheduling schemes; and selecting the best scheduling scheme from all selectable scheduling schemes to perform task scheduling; the application is used for solving the problem that the existing digital employee task scheduling technology cannot simultaneously auction and allocate multiple tasks according to historical date task allocation data and balance task processing time and cost when scheduling the work tasks of digital employees based on the auction algorithm mechanism.

The invention discloses a magnetic lock structure and a magnetic lock system, and relates to the technical field of charging barrel feeding, the magnetic lock structure comprises a charging barrel and a magnetic lock assembly, the top of the charging barrel is connected with a movable cover plate through a hinge piece, and the outer side of a one-way ratchet wheel box is connected with a transmission gear through a shaft body. According to the magnetic lock structure and the magnetic lock system, through standardized processes of task allocation, material matching and unlocking and feeding, operation tasks are allocated to all charging barrels by a system background, and feeding personnel can check corresponding dispatching plans by scanning two-dimensional codes of the charging barrels or inputting serial numbers with the help of a handheld terminal; a two-dimensional code of a to-be-fed material label is scanned to complete automatic matching of the system, and an unlocking instruction is issued to the magnetic lock assembly only when matching succeeds, so that feeding errors caused by manual subjective judgment are completely eradicated, and production accidents and material scrapping are avoided; and meanwhile, according to the process, the operation steps are simplified, the operation target of feeding personnel is clarified, and the feeding efficiency and the connection smoothness of front and back procedures are effectively improved.

The invention discloses a data synchronization system based on design requirements. The data synchronization system comprises a system main thread and a plurality of work task threads started by the system main thread, wherein the system main thread is used for performing full life cycle management on the whole environment of the data synchronization system, loading, calling and releasing related resources and services, and starting, monitoring and destroying each work task thread; the work task thread comprises a design requirement list and a plurality of safety message queues, the design requirement list is used for circularly traversing each design requirement, a design requirement identifier and a design requirement name are added into the safety message queues, the safety message queues are used for monitoring respective message queue states, and once a data dictionary object is obtained, the design requirement identifier is added into the safety message queues; if yes, work task processing is carried out, and then results are written into a unified processing result queue; according to the method, efficient execution of research and development projects is guaranteed, design demand omission is avoided, and manufacturing on-time and high-quality delivery is greatly facilitated.

The invention discloses an intelligent operation method and device of operation equipment, the operation equipment and a storage medium. The method comprises the following steps: before operation of operation equipment, controlling an unmanned aerial vehicle to carry out flight scanning on a target operation area so as to collect environmental data of the target operation area; based on the environment data, generating an operation map with geographic coordinates, and planning an operation path of the operation equipment on the operation map; wherein the operation map comprises obstacle information identified and marked based on environment data, and the operation path is planned to avoid obstacles; issuing the operation task containing the operation path to operation equipment; and controlling the operation equipment to run along the operation path and execute the green cutting operation based on the high-precision positioning information of the operation equipment.