267 results about "Work task" patented technology

The utility model belongs to the technical field of wind turbine generator tower maintenance, and particularly relates to a wind turbine generator tower outer wall moving device which comprises a cabin, blades installed on an output shaft of the cabin, a tower body fixedly connected to the bottom face of the cabin and a moving assembly arranged on the surface of the tower body. The moving assembly comprises a platform installed on the surface of the tower drum body, two limiting plates are fixedly connected to the surface of the platform, two winches are fixedly connected to the portion, facing the cabin, of the platform, traction ropes are arranged on the surfaces of the winches, and two hanging wheels matched with the winches are fixedly connected to the bottom face of the cabin. When the outer wall and the blades of the tower drum are maintained and checked by workers, the workers can stably move up and down through the electric traction rope to complete work tasks, and the danger coefficient is greatly reduced.

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 relates to the technical field of electric power engineering construction management, and discloses an electric power engineering construction management method and system based on three-dimensional design. An electric power engineering construction management method based on three-dimensional design comprises the following steps: step 1, collecting related information of electric power engineering, including design drawings, construction plans and resource allocation information; establishing a three-dimensional model of the electric power engineering based on the BIM according to the related information of the electric power engineering; 2, dividing the construction process into a plurality of processes according to the construction plan of the electric power engineering, and dividing each process into a plurality of work tasks; according to the method, the dominant factors of the overdue risk of the process are obtained by evaluating and analyzing the execution conditions of all the work tasks in the process. And finally, a targeted remedial strategy is adopted according to the dominant factors, so that the project overdue risk can be reduced, and the construction efficiency is improved.

The invention relates to the technical field of unmanned aerial vehicle inspection, and discloses a park unmanned aerial vehicle safety linkage inspection method and system. Constructing an operation feature set and predicting a fire occurrence probability and a fire association degree operation unit sorting table of an operation unit of each operation task in each minimum monitoring period in a target monitoring period; in consideration of a fire monitoring frequency demand and an operation unit associated with a target operation unit in which a fire may occur, an inspection unmanned aerial vehicle and an operation video monitor are controlled to execute picture and temperature combined fire monitoring of a target park in a target monitoring time period, so that the accuracy and reliability of park fire monitoring are improved; the problem that the fire monitoring comprehensiveness of the park is not high due to insufficient patrol unmanned aerial vehicle resources in the peak period of the fire is avoided, and the safety monitoring intelligence and automation of the park are remarkably improved.

The invention belongs to the technical field of power transmission work, and particularly discloses an intelligent power transmission work ticket automatic generation and safety verification system which comprises a work ticket automatic generation module and a work ticket safety verification module. The work ticket automatic generation module is used for establishing a work ticket template library, collecting equipment information of a power transmission line, extracting key information through a text separation and semantic understanding technology and generating work ticket basic information; the work ticket safety verification module is used for formulating a safety rule base, checking whether safety measures filled in the work ticket meet requirements in the safety rule base or not, verifying whether logic contradiction exists between work task description in the work ticket and the safety measures or not, and obtaining real-time information of a site before an operator arrives at the site; the function of automatically generating the work ticket greatly shortens the compiling time of the work ticket, reduces the tedious process of manual filling and possible errors, enables a worker to put more energy into the actual power transmission work, and improves the overall work efficiency.

The invention discloses a method and a system for fully automatically adding bins in a raw material yard. The method comprises the following steps: acquiring real-time state information of equipment in the raw material yard through various sensors; generating an actual operation task plan by analyzing the real-time state information of the stockyard equipment; and the operation task plan is converted into a specific equipment control command, the specific equipment control command is executed, and full-automatic warehousing of the raw material yard is achieved. According to the automatic feeding system for the raw material yard, the automatic feeding system can monitor the material state in real time, a feeding scheme is generated according to requirements, equipment is automatically dispatched to take materials, and therefore continuous and stable operation of a production line is guaranteed. Therefore, the frequency of manual intervention is reduced, the automation degree of the production line is improved, and the overall production efficiency is improved.

Systems and methods for using artificial intelligence to generate optimized parameters for a work tool based on tracked haptic feedback and job quality are disclosed. In one embodiment, a method includes an artificial intelligence agent accessing from entries in a database, quality scores and haptic feedback corresponding to a completed instance of a work task. The method further includes the artificial intelligence agent generating optimized operating parameters based on the haptic feedback data and the quality scores, and transmitting the optimized parameters to a tool used to perform the task.

The invention provides a detection service management system and method, and the system comprises a detection entrusting module, an auditing module, an engineering test management module, and a report management module. According to the detection service management system, the whole process from initiation and auditing of a delegation list to test arrangement and report compiling and approval is transparent and efficient, the internal working efficiency is improved, human errors are reduced, and the whole process is paperless. By adopting the system, the progress of each document can be checked, traced and counted. Besides, the client can conveniently initiate a test demand and track the progress in real time, so that the work task needing to be audited is ensured not to be omitted, and the accuracy and response speed of the test demand are improved.

The invention relates to the technical field of engineering management informatization, in particular to a BIM visualization method and device based on a UE engine, and the method comprises the following steps: importing a BIM model into a UE5 engine, and carrying out scene rendering; establishing association between background data of the BIM model and job task progress data in the P6 platform; and according to the job task progress data of the P6 platform, performing project progress visual display on the BIM model. The method has the advantages of real-time rendering, vivid effect, blueprint type low-threshold development and the like.

To provide a system.SOLUTION: A system is provided, comprising means of providing each employee with a personalized AI secretary, means of allowing the AI secretary to provide a variety of services ranging from work task support to career advice, and means of allowing the AI secretary to engage in schedule management, reminder setting, information surveys, etc.SELECTED DRAWING: Figure 1

The invention provides a control method and a control device of a power-assisted exoskeleton, the power-assisted exoskeleton comprises a power module, the power module is provided with a stay wire, shoulder stay wire modules on two sides are matched with the power module through the stay wire, the stay wire is respectively connected with a shoulder power-assisted module and an arm power-assisted module through the shoulder stay wire modules, and correspondingly, the power-assisted exoskeleton is connected with the shoulder power-assisted module and the arm power-assisted module through the stay wire. The control method comprises the following steps: S101, acquiring a current work task type input by a user, wherein the work task type comprises unloading, sorting and turning over, sorting, scanning and bagging and code shooting; and S102, the working state of each clutch is controlled according to the current work task type of the user, so that the power assisting mode is adjusted, and assistance is provided for the power assisting module part of the upper limb.

The invention discloses an intelligent generation method and device of two tickets and a computer readable storage medium. The method comprises the following steps: responding to a two-ticket generation operation acting on a front-end page to generate a screen recording instruction and an information acquisition instruction; controlling a screen recording component to execute a screen recording operation according to the screen recording instruction to obtain screen video data; performing text extraction on the screen video data to obtain screen text information in the screen video data; acquiring the current operation state and work task information of the power system based on the information acquisition instruction; and processing the screen text information, the work task information and the current running state by using a two-ticket generation model to generate a work ticket and an operation ticket. According to the invention, the technical problems of tedious filling and approval processes of the two tickets and low handling efficiency caused by the fact that the operation ticket and the work ticket are generally generated by adopting manual handwriting or a single intelligent algorithm with relatively poor flexibility in the prior art are 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 relates to the technical field of intelligent task scheduling and employee health management, and discloses an express industry personnel management and occupational safety dynamic association analysis system and method, which comprises the steps of collecting multi-dimensional data of employees in real time through various sensors, the multi-dimensional data comprising health data, environment data, psychological state data and work task data; performing standardization processing on the collected multi-dimensional data and generating a standardized data set; performing association analysis on the standardized data by using a graph neural network to generate a safety risk score of the employee; performing dynamic scheduling optimization on tasks of the employees through a reinforcement learning algorithm based on the multi-dimensional data; task scheduling and security strategies are dynamically adjusted through a feedback mechanism, and self-adaptive optimization and continuous learning of the system are ensured. Task scheduling and employee psychological state analysis are carried out by adopting a graph neural network and a multi-objective optimization algorithm, and the technical effect of dynamically optimizing task allocation is 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.

This invention provides an integrated drilling, flushing, and protection dual-channel drilling tool, comprising a centrally openable and closable drill bit, a dual-channel hydraulic flushing device, a dual-channel drill rod, and a dual-channel water supply device, connected sequentially from front to back. After drilling is completed, this invention eliminates the need to lift the drill bit or change the drilling tool; the screen pipe can be directly lowered into the central flow channel of the dual-channel drilling tool for borehole protection operations. This drilling tool has two independent flow channels, combining normal drilling, high-pressure hydraulic flushing, and full-hole screen pipe lowering for protection without lifting the drill bit. Different work tasks can be performed by connecting the water pipe to different interfaces on the dual-channel water supply device. This invention expands the application range of drilling tools, reduces the labor intensity of workers, improves drilling efficiency, and provides technical equipment support for underground gas drainage drilling in coal mines.

A method and device for controlling a drone, the method comprising: after the power output of the drone fails, controlling the drone to be in a controllable state (S301); after the drone is in the controllable state, controlling the drone to land (S302), so that the drone lands on a safe platform, thereby preventing the drone from continuing to perform a work task and crashing, ensuring the safety of the drone, reducing the property and personnel safety losses caused by the drone crash, and improving the user experience.

The present invention discloses a method for power intelligent operation and maintenance path planning, which relates to the field of power operation and maintenance. At present, when implementing intelligent operation and maintenance, only the shortest path is aimed to be achieved. The present invention includes the following steps: obtaining work order data; processing work order information; judging whether the total workload exceeds the maintenance capacity of all workers during their working hours; if so, discarding a batch of faults considered impossible to complete; re-establishing a path planning model and adding time limit and capacity limit; solving the path planning model to obtain an optimal dispatching plan, outputting dispatching work orders, and obtaining the power intelligent operation and maintenance path. According to the present technical solution, considering the fault urgency degree and distance factors comprehensively, the faults with high urgency degree are preferentially solved; appropriate workloads are arranged for each maintenance worker; according to the working hours, location and distance of the staff, the dispatching of embarrassing-time-consuming or excessive-total maintenance work is avoided, so that the work tasks of each worker are scientific, reasonable and feasible.

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 relates to the technical field of human resource management and information, in particular to a settlement system based on automatic feedback of work achievements in a flexible employment scene of a contractor, which is used for solving the problem that the quality of a work task completed by the contractor cannot be accurately evaluated and fed back due to the fact that the work condition is checked in a sign-in mode in the prior art. Targeted improvement suggestions cannot be provided for the contractors, and the contractors cannot be helped to improve the working ability according to feedback conditions. According to the invention, the score feedback module automatically generates the score according to the audit result, improves the efficiency of employer's work result audit, accurately evaluates and feeds back the quality of completed work tasks, summarizes and analyzes the score conditions, can provide targeted improvement suggestions for contractors, and improves the efficiency of employer's employment. And the contractors are helped to improve the working ability according to feedback conditions.

The invention discloses an unmanned workshop automation equipment upgrading management system and method based on the Internet of Things, and relates to the technical field of equipment upgrading management. Multiple data of automation equipment are monitored to analyze the operation state of the automation equipment; calculating and acquiring a warning coefficient by combining the influence factor with the running state, judging whether the current system of the automatic equipment needs to be returned or not based on the warning coefficient, and periodically acquiring a mean value of the warning coefficients of all the automatic equipment; and judging whether the system needs to be upgraded or not by combining the warning coefficient mean value with the work task of the automation equipment in the next day. The management system can comprehensively analyze multiple factors to judge whether system rollback needs to be carried out after system upgrading of the automatic equipment is completed, so that the machining precision and the machining efficiency of the automatic equipment are effectively prevented from being reduced, and the stability and the safety of operation of the automatic equipment are guaranteed.

The present invention discloses a safety risk control method and medium. The method includes: obtaining production task information, generating corresponding work tasks according to the production task information, and allocating the work tasks so that relevant personnel can execute the work tasks according to the allocation results; generating inspection tasks according to the work tasks and allocating the inspection tasks to corresponding inspectors; the inspectors conduct inspections according to the inspection tasks, and when potential hazards are found during the inspection process, generate corresponding rectification tasks and send the rectification tasks to corresponding rectifiers; the rectifiers conduct rectification according to the rectification tasks and send the rectification results to the accepters so that the accepters can review the rectification results; it can effectively allocate the risk control work during the production operation process, prevent the omission of inspection items, and ensure the stable progress of production operations.

A work machine including a power supply having a plug adapted to plug into a supply of power provided by a power outlet. A stored energy device is operatively connected to the power supply and is configured to store power. A motor under control of a motor control is configured to receive power from the outlet and to received power from the power supply. A work device, operatively connected to the motor, is configured to perform a work task in response to a supply of power provided by the power outlet during a normal operating mode and to perform the work task in response to the stored power in a boost mode. The work machine includes a power washer or a log splitter.

The embodiment of the invention discloses a method, system and device for evaluating a work task, electronic equipment and a storage medium. The method comprises the following steps: collecting point cloud data of a workpiece in a work task and a three-dimensional image frame of a worker in the work task; identifying attribute information of the workpiece in a machine vision mode based on the point cloud data; identifying action information of the worker in a deep learning mode based on the three-dimensional image frame; comparing the combined information of the attribute information and the action information with a standard operation program of the work task, wherein the standard operation program comprises the standard attribute of the workpiece and the standard action of the worker in the work task; and evaluating the work task based on the comparison result. And the work task is subjected to joint evaluation in two dimensions including the action of the worker and the attribute of the workpiece, so that the evaluation accuracy is improved.

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.

The invention discloses a peasant worker salary intelligent accounting and payment system based on digital twinning, which relates to the technical field of peasant worker salary intelligent accounting and payment and comprises an initial acquisition setting module, a data acquisition window module, a data analysis and feature extraction module, a task change classification module and a dynamic acquisition regulation and control module. The initial collection setting module sets an initial collection interval duration to collect data of worker work tasks according to the work arrangement of the construction site and the initial complexity of the worker tasks. According to the invention, the acquisition interval is intelligently and dynamically regulated and controlled, and the data acquisition mode is optimized according to the complexity and the change mode of the work task of a worker. For complex and changeable tasks, the system shortens the acquisition interval, accurately records high-intensity and low-intensity task switching, and ensures the fairness of salary accounting. For a single task, the collection interval is prolonged, redundant data is reduced, the resource utilization rate is improved, and the accuracy of salary accounting and the system operation efficiency are effectively improved.

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 present application relates to the technical field of data processing, and discloses a method and system for judging power violation operation in advance through intention recognition, wherein a first interest point feature group in monitoring image data is detected according to a work task, the range of a carrier carrying at least one suspected target source is determined, the position of the suspected target source and a second interest point feature group are detected, the second interest point feature groups of several suspected target sources are compared, the human skeleton key node and the hand skeleton key node in the monitoring image data are detected, the position relationship data set of the hand skeleton key node and the suspected target source is obtained, the position relationship data set and the corresponding time dimension unit time are taken as input training parameters of a neural network model to be trained, so as to obtain a prediction model, and the current action is determined, and the next action is predicted and determined based on the prediction model. The present application can give a warning for several seconds in advance to ensure safety.

The invention relates to the technical field of computers, in particular to a task processing method and device, equipment and a medium which are used for replacing workers to complete various work tasks and achieving automatic processing of the work tasks. According to the method, after an initial control parameter required for completing a target task is obtained, a target operation corresponding to the initial control parameter is executed on each display page, then, the target control parameter enabling page change to conform to expectation is determined, and the initial page can be skipped to a target page completing the target task according to the target control parameter, so that the target task can be completed. And automatic processing of work tasks can be realized.