90 results about "Task demand" patented technology

A system for assigning human resources to service tasks. A long term forecasting module enables one or more users simultaneously working on that module to assign tasks that should be fulfilled in the each specific region, based on analysis of past demand and actual service operations. A mid-term planning module enables one or more users simultaneously working on that module to roughly allocate resources to fulfill actual future tasks and expected task demands. A short-term scheduling module enables one or more users simultaneously working on that module to roughly allocate specific human resources to fulfill actual tasks. A coordination module immediately propagates any change in the parameters of the human resource assignments resulting at any one of the forecasting, planning or scheduling modules to effect the other two modules. An analyzing module repeatedly checks the assignment actual status upon any introduction of an assignment update by the forecasting and planning modules to detect discrepancies and to generate alerts to correct those discrepancies.

A system for assigning human resources to service tasks. A long term forecasting module enables one or more users simultaneously working on that module to assign tasks that should be fulfilled in the each specific region, based on analysis of past demand and actual service operations. A mid-term planning module enables one or more users simultaneously working on that module to roughly allocate resources to fulfill actual future tasks and expected task demands. A short-term scheduling module enables one or more users simultaneously working on that module to roughly allocate specific human resources to fulfill actual tasks. A coordination module immediately propagates any change in the parameters of the human resource assignments resulting at any one of the forecasting, planning or scheduling modules to effect the other two modules. An analyzing module repeatedly checks the assignment actual status upon any introduction of an assignment update by the forecasting and planning modules to detect discrepancies and to generate alerts to correct those discrepancies.

The invention provides a technique for managing multiple contextual views of source code files. In a file system, different tasks demand that source code files be grouped in different hierarchical directories. When some or all of this manipulation is of the physical files themselves, the directories can become confused, and it may be difficult for the next user to access needed source code files. In the technique of the invention, the physical location of the files is independent of all contextual views, and is maintained in a separate viewable hierarchy. All items in contextual view hierarchies contain only references to the physical location of the source code files, and so modifications of those items, such as delete, move and copy, only alter the references themselves. A separate set of operations can be used for explicitly maintaining or modifying the physical source code files.

The invention provides a data processing method and system for a fourth-party management system. The data processing method for the fourth-party management system comprises the steps of obtaining demand description information of a to-be-realized business; constructing a business process according to the demand description information, wherein the business process comprises a plurality of sub-tasks and an interactive relationship of the sub-tasks; searching for an executor meeting a completion condition for each sub-task, and allocating the corresponding sub-task to the executor; and obtaining completion results of the sub-tasks, and inputting the completion results to the business process for performing execution, thereby finishing the to-be-realized business. By utilizing the scheme, the sub-tasks in the business process are finished by utilizing fragmented resources, and the fragmented resources can be fully utilized, so that on one hand, the tasks can be efficiently completed, and on the other hand, the task demands of working personnel can be met.

The invention discloses a parking AGV path planning method based on an improved Dijkstra algorithm. The method specifically comprises the steps of creating a parking AGV running scene model; initializing all parameters of the algorithm; introducing a priority strategy to allocate tasks to a parking AGV; selecting different weights for different task attributes such as vehicle parking and pickup according to actual application demands, and improving a traditional Dijkstra algorithm based on different weights; applying the improved Dijkstra algorithm to conducting path planning on the parking AGV. According to the method, for the parking AGV, an optimal path from a starting point to a target point is searched for, and it is ensured that the AGV quickly and smoothly completes the tasks of vehicle pickup and parking without collisions according to different task demands within a short time. The method can be applied to path planning for vehicle parking and pickup of the parking AGV in a parking lot, it is ensured that the AGV safely and quickly completes vehicle pickup, the operation efficiency of the parking lot is improved, and the waiting time for a social worker to park and pick upthe vehicle is shortened.

Methods and systems are provided for responding to drowsiness of a driver. The method and system comprise detecting by a module the drowsiness of the driver based on a detected level exceeding a threshold associated with at least one of a set of conditions of the driver which indicate the drowsiness of the driver. The conditions of driver drowsiness include driver performance, vigilance, judgment and alertness. A response to the conditions which have been detected is provided by assists to the driver to at least facilitate reducing the detected level below the threshold associated with the conditions and any subsequent drowsiness of the driver.

The invention relates to a boost phase generalized standard miss distance analysis guidance method. The method comprises steps that 1, boost phase guidance problem modeling is carried out, including standard ballistic movement modeling, guidance correction first-order perturbation modeling and terminal constraint modeling; 2, boost phase standard ballistic regular perturbation solution modeling is carried out; 3, boost phase standard ballistic zero-order item analysis solution on the basis of regular perturbation is carried out; 4, boost phase standard ballistic first-order item analysis solution on the basis of regular perturbation is carried out; and 5, boost phase optimal guidance instruction solution on the basis of the standard miss distance is carried out. Through the method, zero-incidence is taken as boost phase ballistic standard control, analysis solution is carried out by employing a regular perturbation method, and thereby an analyzed standard miss distance is acquired; an optimal control method is employed to solve a guidance instruction of the correction standard miss distance, and thereby a non-linear analysis optimal guidance method satisfying boost phase task demands is acquired.

The invention discloses a Storm task deployment and configuration platform with cluster adaptability, and belongs to the field of real-time streaming data computing and processing. Through the platform, a Storm cluster can sense internal communication traffic among nodes and remaining resources, and perform running process number configuration self-adjustment according to a topology task demand published by a user and the cluster remaining resources, so that the limitation of the need of artificially specifying a process number in a conventional Storm scheduling method is broken through. A friendly centralized communication traffic monitoring interface is provided for the user by the platform, and is convenient for the user to call in a task program, so that load and resource awareness is realized. Moreover, a one-phase commitment scheduling method which is different from a conventional Storm two-phase commitment scheduling method is implemented on the platform in an embedding way, and communication traffic optimization among different processes at the same node is realized. Through adoption of the Storm task deployment and configuration platform, optimal scheduling can be realized by setting of basic optimization threshold parameters, and great convenience is brought to a cluster user and a manager.

A task reliability state-based manufacturing system predictive maintenance method is disclosed and comprises the following steps: in a first step, a manufacturing system underlying database is built; in a second step, device performance variation trends and all relevant parameters are analyzed via use of underlying data; in a third step, corrective maintenance cost of a device is predicted; in a fourth step, planned maintenance cost of the device is predicted; in a fifth step, processing capability loss cost of the device is predicted; in a sixth step, indirect loss cost of the device is predicted; in a seventh step, product quality loss cost of the device is predicted; in an eighth step, comprehensive cost is predicted, a task reliability threshold value of the device is determined, and an optimal predictive maintenance strategy is further determined; in a ninth step, task demand of the last device is determined according to a result of the eighth step, and the second step to the eighth step are repeated till a predictive maintenance strategy of a whole manufacturing system is made; in a tenth step, via the above steps, an aim of combining device performance conditions with production tasks is attained, and problems of conventional neglect of production states and blind periodic maintenance can be solved.

The invention discloses an Internet-based collaborative development management method and device for scientific and technological innovation products. The method includes: when a project requirement document is published, enter the task requirement library, and the acceptor who is allowed to view writes a requirement assessment document; when it is not disclosed, the requirement send a private message to the target undertaker; the target undertaker writes a demand assessment; compares and screens the needs assessment, all the undertakers allowed to view and the reputation and capabilities of the target undertaker, selects the final undertaker and signs the contract; The project management system manages the project schedule, transaction documents, transaction MEMO, BUG control, transaction online communication records, payment nodes and contracts; the case is closed when the project is completed. The implementation of the present invention has the following beneficial effects: it can keep business information confidential, can reasonably guide the project research and development process, can reduce the research and development cost of scientific and technological innovation, shorten the innovation research and development cycle, reduce innovation risk, and increase the success rate of innovation research and development.

The invention discloses a cloud computing data resource scheduling method considering time and expense. Deadline preference and expense preference policies are proposed; task and resource models in clouds are built; proper scheduling resources can be manually set or adaptively selected according to task demands submitted by a user; tasks with relatively high deadline requirements can be preferentially scheduled to the public cloud; the tasks with high expense requirements can be preferentially scheduled to the private cloud; and the two policies meet deadline and certain expense constraints. The scheduling resources can be adaptively selected or scheduling is performed according to the manually set scheduling policies, so that convenience and simplicity are achieved.

The invention belongs to the satellite communication technical field and discloses a task split and aggregation-based data relay satellite system task planning method. According to the method, tasks in a network are split and aggregated; a feasible solution sequence is constructed for the preprocessed tasks; local search is performed on the constructed feasible solutions; and a task planning result is outputted. According to the method of the present invention, task demand from user requests is converted into task elements with higher planning efficiency through task preprocessing; and tasks requiring long transmission time are split into a plurality of task elements, and tasks which require short transmission time, are high in scheduling window coincidence rate, and have near requesting satellite positions are merged into one task element. With the method of the invention adopted, the planning efficiency of tasks requiring long transmission time and short transmission time of a traditional task planning algorithm can be solved; and the task planning efficiency and resource utilization rate of the data relay satellite network can be improved. The method can be used for the task planning process of the data relay satellite system.

The invention discloses a self-adapting automation method based on brain function state. The self-adapting automation method comprises the steps of: determining the arrangement of an encephalogram electrode, a near infrared optical spectrum light source and a near infrared optical spectrum probe; establishing an artificial neural network model according to a linear characteristic parameter, a non-linear characteristic parameter, an oxyhemoglobin saturation index and a simulative task performance index, and optimizing the artificial neural network model through a genetic algorithm to obtain a cognitive function state detecting model; determining whether adjusting the task distribution mode of a person and an automatic system and early warning an operator according to a real-time cognitive function state index, a task demand index, a cognitive function state index warning threshold value and a state duration threshold value; and if so, adjusting the task distribution mode of the person and the automatic system, early warning the operator, and ending the process. Compared with the traditional automatic man-machine system, the self-adapting automation method disclosed by the invention distributes the tasks in a self-adapting manner to reduce the occurrence rate of human errors and effectively improve the working efficiency and safety of the man-machine system.

The invention provides an AGV cluster control system and method, and the system comprises a client and a plurality of AGVs. Each AGV is provided with a navigation device for detecting the surroundings, an analysis control unit, and a communication unit which is used for the communication with the client and other AGVs, wherein the analysis control unit is used for calculating and obtaining the current coordinates of the corresponding AGV according to the detected surroundings of the AGV, carrying out the planning of a path of the AGV according to task demands and calculating the cost in task execution, and controlling the operation of the AGV according to the path and the received information of other AGVs. The client selects to transmit a task instruction to the AGV with the minimum costin task execution. The system provided by the invention reduces the cost, and the number of AGVs is not limited. Moreover, the problems of the AGVs do not affect the operation of the system, and the AGVs are not liable to collide with each other and cause the congestion.

A model prediction control method of spacecraft attitude avoidance by taking the consideration of flywheel dynamic characteristics comprises the following steps of: establishing a prediction model based on attitude dynamics of the spacecraft and dynamics of flywheels; establishing a constraint mathematic model according to the dynamic characteristics of the flywheels and an instrument angle of sight; designing a performance index function facing different task demands, and converting a control problem to a problem of solving an extreme value of a target function in equality and inequality constraint conditions; and finally, rapidly solving the problem based on the optimization method of real-time iteration. The method can process the attribute avoidance problem of the spacecraft in the execution mechanism constraint condition, can reach the comprehensive optimization of energy and time of the design of the target function, can perform processing through real-time iteration and hot start methods and can reduce the computing amount of solving the optimization problem.

A system that infers and detects how focused a worker is on work tasks, based on physiological parameters collected using wearable and environmental sensors. The system can identify whether a worker is in a focused state of flow, the affective state in which the worker's mind is fully immersed and actively engaged in their task. The system can also identify whether the worker is anxious (where the task demands / difficulty is too high relative the worker's skills) or bored (where the task is too easy). Once the focus state is detected, the information can be used in various applications for optimizing the worker's tasks and work quality such as monitoring task mastery, interventions to improve worker focus (e.g., recommending breaks, reassigning tasks, clarifying goals), identifying potentially lower quality production lots in a manufacturing environment, measuring the effects of skills training, and personal informatics for improving a worker's own productivity.

The invention is suitable for the intelligent technical field, and provides a man-machine interaction method and device, a storage medium, and an automatic vending machine. The task based man-machineinteraction method provided by the embodiment of the invention is applied to the automatic vending machine, can allow a user to directly or indirectly acquire a commodity from the automatic vending machine by completing a task or reaching a corresponding task demand; the interestingness of the task process and the stimulation effect of commodity awarding can effectively attract users to stop in the front of the automatic vending machine, and the possibility that the users consume through the automatic vending machine can be greatly improved; and the problem that the automatic vending machine can only support a simple commodity sale function, the business pattern is passive and cannot attract the users' attention, and then the sale effect is not ideal can be solved.

The invention relates to a drowning target search and rescue method and system with a self-searching function. The method comprises the following steps: step S1, a search and rescue task demand is received, and the search and rescue task is started; step S2, a rapid search and rescue system is thrown into a to-be-searched area after arrival over the to-be-searched area; step S3, the rapid search and rescue system is deployed after landing on water, a USV (unmanned surface vessel) and a vessel-borne multi-sensor fusion search and positioning system are started, and a lifesaving floating platform follows up; step S4, the vessel-borne multi-sensor fusion search and positioning system detects and searches the position of a person overboard and outputs unified target position information to a USV control mechanism; step S5, the USV control mechanism formulates and executes a route plan according to the target position information in combination with own position, and the USV drags the lifesaving floating platform to arrive at the position of the person overboard; step S6, the person overboard climbs onto the lifesaving floating platform and waits for rescue, and the task is completed. The system is based on the method. The method and the system have the advantages of being easy to realize, good in timeliness, wide in rescue range and the like.

The invention provides a visual and auditory perception integrated multitask collaborative identification method and system and belongs to the technical field of multi-source heterogeneous data processing and identification. The system comprises a universal feature extraction, a collaborative feature learning module and a suitable scene feedback, assessment and identification module. Based on timesynchronization matching mechanism of multi-source heterogeneous data, universal features of the multi-source heterogeneous data are extracted; a long-time dependent memory model is established, anduniversal features serving as priori knowledges are continuously learned by cooperating with a collaborative attention mechanism based on external dependence; environmental perception parameters in the multi-source heterogeneous data are extracted, a progressive network depth collaborative reinforcement identification mechanism is established, and multitask identification is achieved according tothe learning features and task demands of the memory model. The system combines with a suitable scene computing theory based on environmental perception, judges the weight of each identified task through depth reinforcement feedback, self-adaptively adjusts the priority of each task according to environmental change and achieves the effect of simultaneously outputting multiple visual and auditoryperception identification results.

The present invention discloses a multi-state equipment system multi-stage spare part demand prediction method facing a repairable spare part, used for solving the technical problem that the conventional spare part demand prediction method is poor in practicality. The technical scheme is that firstly the task demands of the stages and the states of the parts are determined respectively according to the equipment system part composition; secondly, the different parts and the corresponding spare parts in an equipment system are used as the repairable part sets respectively to consider overall, and an MMDD model of a task system is established; then a Markov chain is utilized to establish a failure model of each part set of a multi-state task system carrying the repairable spare parts in the multi-stage tasks, the paths from a root node to a final node 1 in the MMDD model are enumerated to form an non-intersect path set; finally, based on the established MMDD model and the Markov chain of the part sets, the reliability of the task system at a stage under a corresponding spare part number is calculated and is compared with the required reliability of the task system, and the repairable spare part demand amount of the multi-state equipment system is predicted.

The present invention discloses a system and a method for patrol based on coordination of multiple unmanned surface vehicles. The system comprises a single vehicle GPS / IMU module, a single vehicle environmental perception module, a single vehicle navigation and obstacle avoidance module, a single vehicle control module, a single vehicle operation condition monitoring module, a wireless transmission module and a coordination control center. The coordination control center sends a command to unmanned surface vehicles participating in patrol tasks according to patrol task demands and conditions of the unmanned surface vehicles; information is sent between the unmanned surface vehicles and the control center through the wireless transmission module; the GPS / IMU module and the environmental perception module can respectively give unmanned surface vehicle position attitude information and barrier information in real time; the navigation and obstacle avoidance module calculates the moving speed and the direction in future according to the barrier information and moving target points emitted by the coordination control center; and the control module controls the unmanned surface vehicles to complete patrol tasks according to moving target commands given by the navigation and obstacle avoidance module. The system and the method for patrol based on coordination of multiple unmanned surface vehicles are reliable and reasonable, and can effectively improve the patrol efficiency and stability.

A system and method of assessing the driving task demand on the driver of a vehicle, and further controlling one or more devices on the vehicle as a function of the assessed driver demand is provided. The method includes sensing a coverage zone in relation to a vehicle, determining a presence of one or more objects in the sensed zone, measuring speed of each detected object in the sensed zone, determining a variation in speed of one or more sensed objects, and determining a driving task demand signal indicative of driving task demand of the vehicle as a function of the measured speed variability. The method controls one or more devices on the vehicle based on the driving task demand signal. Alternately, the driving task demand signal is determined based on vehicle speed.

The invention relates to an aircraft fast anti-interference longitudinal guidance method based on specified performance. The aircraft fast anti-interference longitudinal guidance method based on specified performance includes the steps: establishing a longitudinal aircraft dynamical model with pneumatic parameter uncertainty, wherein the pneumatic parameters include a lift coefficient and a resistance coefficient; performing specified performance conversion through the designed specified performance function and conversion function to obtain a model after conversion; performing fast estimationon pneumatic parameter uncertainty of the aircraft by designing a sliding mode interference observer to obtain an interference estimate value; designing a sliding mode control law to complete the fast control task demand; and designing a composite sliding mode controller to complete the aircraft fast anti-interference longitudinal guidance method based on specified performance. The aircraft fastanti-interference longitudinal guidance method based on specified performance can specify three performances of the control system: the convergence rate, the overshoot and the steady state error, hasthe characteristics of rapidity and high precision, is suitable for fast anti-interference guidance system based on specified performance for various types of flight systems and other high altitude unmanned aerial vehicles, and can also solve the problem of aircraft faults such as fast fault tolerance.

A superposed hybrid sine maneuvering path planning method is disclosed. According to a rapid satellite maneuvering task demand, zero-crossing duration and a maximum dynamic response frequency after zero crossing of an execution mechanism are taken as constraints so as to design multi-section superimposed designed maneuvering-path angular acceleration curves generated because of a continuously-changed accelerated speed. Under the conditions that an angular acceleration is increased from zero and then reduced to zero, and the flexibility of the angular acceleration is guaranteed, influences of flexible attachments on satellite stability are reduced. Characteristics that dynamic performance of the execution mechanism during a zero-crossing process is insufficient and a dynamic response bandwidth has a constraint after zero crossing are full considered, an excessive on-orbit maneuvering angle deviation brought by a zero-crossing characteristic of the execution mechanism and the response bandwidth constraint is avoided and maneuvering control adjusting time after maneuvering is enough is shortened.

The invention discloses a resource combination configuration method for large-scale unmanned aerial vehicle disaster rescue tasks. According to the method, on the premise that the capability constraint of the unmanned aerial vehicle for executing tasks and the constraint that the same unmanned aerial vehicle can only execute one task at the same time are considered, the unmanned aerial vehicle isallocated to each rescue task according to the resource requirement of the rescue task and the task execution effect of the unmanned aerial vehicle; according to the rule-based construction type resource combination configuration method provided by the invention, the problem of unbalanced resource combination configuration is avoided as much as possible while the sum target of all task completionrates is optimized and maximized, and an approximately optimal solution can be quickly generated, so that the real-time performance and the effectiveness of the method are ensured; the method providedby the invention can solve the problem of resource combination configuration under various conditions of different resources and task demand proportions, including resource configuration combinationunder three conditions that the cluster capability of the unmanned aerial vehicle is lower than, matched and exceeds disaster rescue task demands.

The invention discloses a novel I / O circuit design for hardware acceleration in https application, which mainly targets at the design of an I / O circuit in a data transmission process in secure communication. The design mainly comprises novel data transmission and the design of a related hardware configuration interface; the design of novel hardware with data encryption and sending functions, and the design of a data structure necessary for the novel hardware. The upper layer application directly submits original data to the novel hardware through a novel data sending interface. The hardware performs a data encryption and sending operation according to task demands. This design simplifies the service logic of the upper layer application in a secure data transmission process, meanwhile reduces the participation of a CPU in the data encryption and sending process and reduces the system load so as to improve the overall performance of the system.

The embodiment of the invention relates to a synergistic sweeping method. The method includes the steps that a server receives sweeping task information; first sweeping route information is generatedand sent to a first sweeping device; the first sweeping device performs sweeping operation according to first sweeping trail information; a positioning module obtains the position information of the first sweeping device in real time, and sends the position information to the server at a preset time interval; the first sweeping device generates electricity shortage information; the server generates actual sweeping route information of the first sweeping device; according to the first sweeping route information and the actual sweeping route information, second sweeping route information is generated and sent to a second sweeping device. In the modes of driving and driven sweeping, a sweeping region is reasonably divided, the sweeping route information can be planned according to sweeping task demands, and the multiple sweeping devices can perform sweeping operation efficiently, intelligently and synergistically.

The embodiment of the application discloses a method and device for sending task information. The method comprises the steps that the task information and candidate user information is received; according to the task information and the candidate user information, values of related parameters corresponding to candidate users are calculated; the candidate users are sequenced according to the values of the related parameters, and a target user is screened out according to a first preset relation; the task information is sent to the target user; and the related parameters are used to denote related relations between the candidate users and the task information. The method and device for sending the task information disclosed by the embodiment of the application can ensure that a receiver of the task information can satisfy task demands.

The embodiment of the invention provides a control method, terminal, management platform, system and storage medium, wherein the method includes receiving task demand information sent by a managementplatform; obtaining land information related to a task indicated by the task demand information; and planning a flight strategy according to the land information, thereby realizing control of flight of an unmanned aerial vehicle according to the flight strategy to execute the task indicated by the task demand information. In the control method, a control terminal executs the task indicated by thetask demand information according to the received task demand information sent b the management platform, and through the method, the intelligentization degree and informationzation degree of operation flow of the unmanned aerial vehicle are improved, thereby improving the efficiency of task execution of the unmanned aerial vehicle.

The invention discloses a movement control method of a 2D (Two-Dimensional) wheeled robot based on moveable foot wheels. Movement states of a robot are continuously updated according to the followingprocedures: S1, confirming a target state of the robot at a present moment according to task demands; S2, representing overall movement of the robot as movement of a mass point of a geometric center point P of a robot chassis, and calculating a movement vector of the robot at the present moment in a global coordinate system according to the target state; S3, calculating rotation speeds ni of different wheels and included angles psi i of a wheel direction and the X axis of a partial coordinate system of the robot according to the principle that a lateral direction of a wheel is not stressed; S4, adjusting states of the wheels according to the rotation speeds ni of different wheels and the included angles psi i, so as to control the movement of the robot. The method supports movement modes of forwarding, transverse movement, inclined movement, rotation and combinations of the movement modes of the robot and is applicable to movement control on 2D wheeled robots with two and more small foot wheels, and the wheels are small in sliding and high in movement stability and flexibility.