199 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 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 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 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.

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 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.

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 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.

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 discloses an intelligent energy-saving control system and method for electrical equipment based on load prediction, and the system comprises a strategy generation module which is used for obtaining the combination modes of a plurality of electrical equipment corresponding to different historical work tasks, and carrying out the energy consumption analysis. Obtaining a combination mode of the electrical equipment with the lowest equipment combination score under different work tasks as an equipment combination strategy of the corresponding work task, and constructing a corresponding relation table between the historical work tasks and the equipment combination strategies; and the strategy matching module is used for obtaining an equipment combination strategy corresponding to the real-time work task through a corresponding relation table between the historical work task and the equipment combination strategy after the real-time work task is analyzed, and running the corresponding electrical equipment. According to the method, the corresponding relation table between the historical work tasks and the equipment combination strategies is constructed, and the equipment operation combination is dynamically adjusted by using the real-time work tasks, so that the overall energy consumption is remarkably reduced, the control process is optimized, and the energy utilization efficiency is improved.

The invention discloses a control method of a cleaning robot, the cleaning robot and a computer program product, the cleaning robot has a home mobile platform detection function, and the home mobile platform detection function is used for confirming the relative position between the cleaning robot and a home mobile platform. The cleaning robot is combined with the household mobile platform according to the relative position, and the household mobile platform can bear household objects. The method comprises the steps of obtaining a work instruction, and judging the type of the work instruction; when the work instruction is the work instruction of the carrying work type, responding to the work instruction of the carrying work type, and enabling the detection function of the home mobile platform to be in an open state; the cleaning robot is combined with the household mobile platform to execute the work task of the carrying work type. By guiding the cleaning robot to be combined with the home moving platform, the home moving platform can be driven to carry home objects to execute work tasks of carrying work types, and diversity of work content executed by the cleaning robot is achieved.

The present invention discloses a control method for a cleaning device, a control device, and a cleaning device. The cleaning device includes a rolling brush and a scraping strip. The control method includes: in response to receiving a control instruction, determining a target working mode corresponding to the cleaning device according to the control instruction; determining a preset relative position corresponding to the target working mode according to the corresponding relationship between the preset working mode and the preset relative position, where the preset relative position is used to describe the relative position relationship between the rolling brush and the scraping strip; controlling the rolling brush to perform a corresponding working task according to the target working mode, and controlling the scraping strip to displace so that the rolling brush and the scraping strip satisfy the corresponding relative position. The control method of the cleaning device of the present invention can control the radial movement of the scraping strip relative to the rolling brush for different working modes of the cleaning device, so as to increase or decrease the interference amount between the scraping strip and the rolling brush, and enable the rolling brush to perform different working tasks for different working modes, thereby improving the efficiency of the rolling brush during self-cleaning.

The invention relates to the technical field of robots, in particular to calibration equipment and a calibration method for work task points of an industrial robot, and the calibration equipment comprises the industrial robot, a laser tracker, a target ball, a joint type coordinate measuring machine seat and a joint type coordinate measuring machine, a laser tracker is used for determining the position relation between a plurality of measuring bases and the base coordinates of the robot during primary calibration, the joint type coordinate measuring machine is moved to different positions to reach the positions of all work task calibration points and calibrated through the laser tracker, and then the tail end of the industrial robot is moved to the position of a preset calibration point; and at the moment, deviation exists between the tail end position and the preset calibration point, the tail end coordinates of the industrial robot are measured through the joint type coordinate measuring machine, and therefore the tail end position error amount is obtained. The problems that numerous calibration pieces need to be installed for calibration of the calibration block and extra errors are introduced by human factors are solved, and the calibration cost is reduced.

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 utility model relates to the field of coal mine mechanical devices, in particular to a withdrawing force unloading device of a wedge-shaped ring. A device body comprises a fixing assembly and a force unloading assembly, the force unloading assembly comprises a jack, a top plate and a bottom plate, and the fixing assembly comprises two clamping plates. According to the requirement of a mine hoisting steel wire rope stringing process, rope stringing operation of a hoisting steel wire rope is achieved, the situation that in a traditional method, an operator needs to consume a large amount of physical power to conduct repeated hammering or air pick impacting operation is not needed, and the labor intensity of the operator is relieved; by means of the rope stringing device, operators can complete operation tasks more easily, meanwhile, the safety and quality of operation are improved, the rapid rope stringing technology is achieved, and efficient and stable operation of a mine hoisting system is guaranteed.

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.

The invention discloses a limited space construction personnel life safety detection method and related equipment, and relates to the technical field of data processing, and the method comprises the steps: obtaining first vital sign information and position information corresponding to a plurality of employees at a current moment based on intelligent wearable equipment in response to a danger judgment instruction, acquiring corresponding second vital sign information when each employee wears the intelligent wearable device; and based on a preset employee database and the second vital sign information, performing identity pairing to determine a vital sign information safety threshold corresponding to each employee, and based on the vital sign information safety threshold, the first vital sign information and the position information, determining whether the employees are in danger. According to the method, the more accurate vital sign information safety threshold value is set for each employee according to the work task and the work capability of each employee, and the accuracy of judging whether the employee is in danger or not is improved based on the more accurate vital sign information safety threshold value.

The utility model discloses an angle-adjustable elevator device, which relates to the technical field of building construction equipment and comprises a movable base, a scissor support is arranged at the top end of the movable base, and a top plate is arranged at the top end of the scissor support. A workbench adjusting mechanism is arranged at the top end of the top plate, a driving mechanism is arranged on the outer side of the bottom end of the top plate, and a plurality of protective fences are arranged at the top end of the workbench adjusting mechanism. The angle-adjustable elevator device is reasonable and reliable in structure, in the aspect of building construction, the angle-adjustable elevator device can quickly and safely move articles or personnel from one height to another height, so that the working efficiency is improved, the angle of the working platform can be adjusted according to requirements, and the angle-adjustable elevator device adapts to different working tasks and environments.

The utility model discloses a conversation chair capable of relaxing body, which comprises a seat plate, chair legs are fixed at the bottom of the seat plate, a rotating shaft penetrates through the side of the seat plate, a chair back is arranged at the end side of the rotating shaft, a rotating mechanism is arranged at the bottom of the seat plate, the rotating mechanism comprises a motor, a threaded rod is arranged at the output end of the motor, and the threaded rod is connected with the rotating shaft. A sliding plate is in threaded connection with the outer side of the threaded rod, a sliding groove is formed in the top of the sliding plate in a matched mode, a first fixing shaft is fixed to the inner side of the sliding plate, a connecting rod is rotationally connected to the outer side of the first fixing shaft, and a second fixing shaft is rotationally connected to the end of the connecting rod. A rotating mechanism is formed by the motor, the threaded rod, the sliding plate and other parts, so that the chair back rotates around the sitting plate, the leaning angle of a worker can be conveniently adjusted, the sitting posture of the worker can be changed, the fatigue of the worker caused by sedentariness can be relieved, the worker can more effectively complete work tasks, and the working efficiency is improved.