372 results about "Job management" patented technology

The invention discloses a user authority control system for a power system. The user authority control system comprises a multi-level organization and user management module, a data resource management module, a dynamic authority control module and a monitoring and auditing module, the multi-level organization and user management module is used for realizing organization maintenance, post management and employee management; the data resource management module realizes controlled resource management and business data management; the dynamic authority management and control module realizes authority distribution, role life cycle management, authority inheritance management, organization and authority transfer management and data authority management; and the monitoring and auditing module is used for realizing permission use recording, auditing log recording, abnormal behavior monitoring, data classification management, function permission management, dynamic permission control and logic extension. According to the invention, through organization and user management, data resource management, dynamic authority management and monitoring auditing, the control of the user authority of the power system is realized, the reliability is higher, the compatibility is better, and the expandability is better.

The invention discloses an operation AR intelligent auxiliary management system based on voice AI interaction driving, which is applied to the field of intelligent warehousing and comprises an environment perception type voice interaction module, an AR multi-mode interaction compensation module, a dynamic noise robustness data processing module, an operation management module and a database module. The environment perception type voice interaction module is used for collecting voice signals of operating personnel and inhibiting environment noise; the dynamic noise robustness data processing module is used for carrying out noise reduction processing, semantic understanding and closed-loop optimization on the voice signal and generating feedback information and a control instruction; the AR multi-modal interaction compensation module is used for receiving feedback information of the dynamic noise robustness data processing module and providing visual and tactile interaction compensation, and the job management module is used for scheduling management equipment according to a control instruction; according to the method, the operation efficiency can be effectively improved, the accuracy is high, the real-time performance is high, and interaction experience optimization can be realized.

Job management solutions often involve a controller distributing tasks to worker nodes or worker nodes in an efficient manner. In one example, this disclosure describes a method that includes receiving, by a controller, a first set of tasks; assigning, by the controller, each of the tasks in the first set of tasks to worker nodes for processing by the worker nodes; receiving, by the controller and for at least some of the tasks in the first set of tasks, feedback information; determining, by the controller and based on the feedback information, an expected amount of processing associated with each task type in the plurality of task types; receiving, by the controller, a second set of tasks; and assigning, by the controller and based on the expected amount of processing associated with each task type, each of the tasks in the second set of tasks to the worker nodes for processing.

The invention provides a sanitation work evaluation method based on an MRS-YOLO model, and belongs to the field of machine vision. Firstly, an existing target detection training method SlideLoss is improved, a SlideLossIOU method is provided, and the small target recognition capability is remarkably improved. Secondly, a multi-dimensional convolution mechanism and a dynamic convolution mechanism are adopted, a YOLO model feature extraction method is optimized, and model robustness is enhanced; and finally, a Transform mechanism is introduced, so that the model detection precision and the feature utilization rate are further improved, and meanwhile, the calculation cost is reduced. Compared with a traditional detection method, the garbage can be detected, and a scientific and objective environmental sanitation work evaluation method can be provided by calculating and analyzing a garbage identification result. The MRS-YOLO model has better robustness, higher reasoning speed and higher detection precision, high-efficiency and low-cost intelligent garbage classification is realized, and reliable data support is provided for environmental sanitation work management.

The invention relates to the technical field of pension monitoring systems, and provides a work management system for smart pension services, which comprises a sensing data acquisition terminal, a data analysis terminal, a task scheduling terminal and a service quality evaluation terminal, the sensing data acquisition terminal is used for acquiring physiological index data, environmental data and behavior data of old people in real time; the data analysis terminal is used for performing anomaly detection and health assessment according to the physiological index data, the environment data and the behavior data to generate data analysis information; the task scheduling terminal is used for generating task scheduling information according to the data analysis information and service requirements input by an administrator; and the service quality evaluation terminal is used for generating service quality evaluation information according to the data analysis information and the task scheduling information. The method has the effect of improving the old-age care monitoring quality.

A cognitive automation-enabled interactive task collaboration and management system comprising a user-interface developed to be installed on multiple computing units 102 that are accessed by different users / organizations for performing different tasks, an input peripheral 103 integrated with the interface for allowing the user to register on the interface, a processing unit 101 linked with the interface for processing the user-selected task and assigns a co-worker with multiple bots to the user, in case of work management, a decision making module for assigning required bots under the co-worker based on task enlisted under project, in case of project handling, a server 106 linked with the interface for generating a list of concerned faculty / official and creates a 3D character of a concerned faculty / official for interacting with the user, an audio controller 105 integrated with the interface for allowing real-time communication of the user with the character by implementing natural processing language protocol.

The invention discloses a method and device for improving printer task management efficiency and a storage medium, and relates to the technical field of printer task management.The method comprises the steps that firstly, printing task parameters and printer real-time data are obtained, and task priorities are calculated through a task priority evaluation formula; dynamically allocating hardware and software resources according to the priority, the real-time data and a rule containing a time slice allocation formula; the states of tasks and equipment are monitored in real time, and an exception handling formula and a conflict coordination formula are used for scheduling when exceptions or conflicts occur; and finally, remaining time is calculated through a printing progress formula and a time prediction algorithm and is fed back to an interactive interface, equipment comprises a data acquisition module, a priority evaluation module and the like, a data storage and model optimization module is further arranged to optimize formula parameters, and the scheme improves task management efficiency and prediction accuracy and optimizes user experience.

The invention belongs to the technical field of power distribution detection, and particularly relates to an intelligent inspection system for power distribution. The intelligent inspection system for power distribution comprises a data acquisition module, a communication transmission module and a cloud service platform, the cloud service platform comprises an edge gateway module, a cloud computing module and a work management module; the inspection system builds and calculates health assessment indexes of equipment to which each area belongs through automatic acquisition and measurement data and a preprocessing mode of a data acquisition module, realizes graded inspection and screening, automatically generates maintenance tasks and allocates the maintenance tasks to appropriate maintenance personnel, so that the inspection efficiency is improved, real-time monitoring and early warning are realized, and the maintenance efficiency is improved. Potential faults are timely found and processed, the maintenance efficiency and accuracy of the power distribution inspection system are improved, the potential safety hazard of power system operation is accurately identified, and the power operation risk is reduced.

To facilitate job recruitment.SOLUTION: A job management apparatus includes: group dividing means for dividing job seekers into groups on the basis of evaluations of their work performance; and job posting means for disclosing job information in accordance with the groups divided by the group dividing means.SELECTED DRAWING: Figure 1

To provide a work record verification device capable of accurately verifying a work record of a person to be managed.SOLUTION: The work record verification device comprises: an image acquisition unit which acquires frames constituting moving image data in which a management object floor where a person to be managed is working is captured; an identification unit which identifies the person to be managed who corresponds to a person included in a partial image extracted from the acquired frames and a behavior of the person included in the partial image; a work data acquisition unit which acquires work data including a working start time and a working end time declared by the identified person to be managed; a verification unit which verifies a working state of the person to be managed in accordance with difference between actual work hours specified in accordance with the identified behavior of the person to be managed and declared work hours specified by the declared work data and generates verification information including a verification result relating to the working state of the person to be managed; and an output unit which outputs the generated verification information including the verification result relating to the working state of the person to be managed.SELECTED DRAWING: Figure 1

An information processing apparatus manages work performed in a work region. An acquisition unit acquires information regarding a work result of the work region. An evaluation unit evaluates work performed in the work region based on the information acquired by the acquisition unit. An identifying unit identifies a work subject that has performed work in a region for which an evaluation is performed by the evaluation unit.

A work management system is applied to a work area in which a predetermined work is executed by a worker and a robot. The work management system includes a control section configured to control the robot such that a specified operation set in advance is included in an operation by the robot executing the predetermined work, an information acquisition section configured to acquire work information indicating a presence or absence of the specified operation in at least one of an execution result and an execution process of the predetermined work, and an identification section configured to identify whether a work subject of the predetermined work is the worker or the robot based on the work information acquired by the information acquisition section.

According to the intelligent patrol method and device based on the cloud SOP dynamic plan and the data capitalization, a label authentication system is innovatively designed, and safe and reliable identity authentication is achieved through secret key dispersion and dynamic authentication. And a rule engine mechanism is constructed, and reasonable job management is established in combination with multi-dimensional features and conflict resolution. Urban fusion is introduced, and the effectiveness of collaboration is ensured through event processing and data sharing. According to the method, the defects of the traditional technology in the aspects of label authentication, rule engine, cross-domain collaboration and the like are effectively overcome, and technical guarantee is provided for intelligent patrol.

The invention relates to the technical field of electric power production, in particular to an electric power operation site safety intelligent monitoring system which comprises an intelligent wearable device, a service management platform, an operation monitoring module and a data analysis platform. The intelligent wearable device is used for monitoring in the operation process of the employee; the business management platform comprises an employee information module, a task arrangement module and a progress information module and is used for job management of employees; the information base is used for storing data of the equipment and providing collaborative information for the task arrangement module; the data analysis platform comprises a working state analysis module and a progress analysis module, and the working state analysis module is used for analyzing the state of the staff in the operation process according to the intelligent wearable device; and the progress analysis module is used for acquiring progress information. According to the electric power operation site safety intelligent monitoring system, electric power operation employees can be monitored, the safety of the employees is ensured, and meanwhile, the operation quality and efficiency can be ensured.

The present invention improves the efficiency of processing media when a process is automated in a processing system.　A processing system 1 comprises a printer 4 that performs a process for discharging ink onto a medium M, and a robot 5 that supplies the medium M to the printer 4 and retrieves the medium M processed by the printer 4, the processing system 1 also comprising a job management unit 91 that, upon setting of an automation setting period, which is a time band in which the printer 4 and the robot 5 are automatically operated, determines a processing order for a plurality of pieces of processing data created for each job in the automation setting period. The job management unit 91 determines the processing order on the basis of the number of copies of the medium M set in each job, the number of stocks of the medium M, and the processing time required for the processing of the medium M estimated for each piece of processing data.

A printing system includes a printing device that receives print jobs. The print jobs are placed in a job queue within the digital front end (DFE) of the printing device. The printing device also includes a user interface to display information related to processing the print jobs. Methods executed at the DFE include defining a time period to process the print jobs at the printing device. A production time is estimated for each print job within the job queue related to parameters of the respective print jobs. A magnification level for each print job is generated based on the respective production time. The magnification level determines a visual display within the user interface. As a current job indicator moves over the slots related to the print jobs, the visual display is adjusted according to the magnification level.

The invention discloses a method and a system for managing and controlling chip-level operation of an advanced packaging and bonding process, and belongs to the technical field of semiconductor advanced packaging and manufacturing, and the method comprises the following steps: endowing a wafer and a glass substrate with unique electronic identifiers; binding the material information and the process parameters to form station entering management and control; single wafer exclusive process parameters are issued to the bonding machine; the method comprises the following steps: collecting bonding process data, performing hierarchical processing based on a three-level abnormal response mechanism, and performing real-time data closed-loop management and control on a bonding process: performing three-dimensional verification on a physical state, a system state and data integrity of a bonded wafer to realize outbound total element verification; and generating a core data traceability packet after the verification is qualified, and storing key nodes through a block chain platform to realize tampering-free evidence storage. According to the method, the problems of insufficient tracing precision and exception handling lagging of traditional batch control can be solved, the quality stability and production efficiency of the bonding process are improved to a certain extent, and the method has better engineering applicability.

The invention belongs to the technical field of network security, and particularly relates to a highway toll threat event prediction and traceability system based on deep learning, which comprises a highway networked toll system. The network safety work management platform is used for forming a planned management strategy by combing the existing safety management work flow of the highway networked toll collection system; the network security operation and maintenance service risk management system is used for constructing an expressway network toll collection system operation and maintenance service security risk management system; and the abnormal event analysis system is used for constructing a visual safe brain for abnormal event analysis and prediction and has an event tracing function. According to the invention, an efficient and visual management platform is created to deal with emergency situations and task changes, construct a security risk management system, ensure data security and integrity and construct a security brain for anomaly analysis, so that a manager can monitor the network security state in real time and make a response quickly.

The invention discloses a remote centralized control scheduling intelligent interaction method oriented to multi-level regulation and control, which is characterized in that a system of the method is deployed in a safety II area, comprises an application, a database and an interface server, and is interconnected with each level of scheduling system through a B / S architecture by adopting strategies such as dual-computer hot standby and the like. The system comprises a plurality of modules: an information sharing and real-time communication module for promoting information circulation collaboration; the maintenance work management module is convenient for maintenance operation and display; the starting scheme execution module is responsible for acquiring a scheme from scheduling and executing and reporting the scheme; the safety anti-misoperation module carries out multi-aspect checking; the data analysis and decision support module performs operation decision; the two-factor authentication module ensures information security; the power-off and power-on application module replaces a traditional application process. Through cooperative work of the modules, many problems in the prior art are solved, the dispatching command efficiency and accuracy are improved, and electric power safety production is guaranteed.

The invention relates to the technical field of databases, and provides a big data updating method and system based on Kafka and Flink CDC. The method comprises the steps that a configuration module receives data source environment configuration and establishes a connection channel; the Flink CDC captures the change data and processes the change data; the Kafka Topic receives the update message and writes the update message into a corresponding special message queue according to a message type; the Flink job management module processes the message queue; and the target database updates the big data based on the processing result. The change events captured by the Flink CDC are distributed to the independent Kafka Topic according to the table types, physical isolation is achieved, the change events are written into the corresponding special message queues according to the message types, physical isolation and flow hierarchical management and control are achieved, and it can be ensured that main table data are processed preferentially.

Methods for managing printing operations include querying a job queue at a digital front end (DFE) of a printing device to determine a number of print jobs in the job queue. A production time is estimated for each print job within the job queue. The production time relates to a processing time to print the respective print job at the printing device. Each print job is scheduled within a printing shift in a defined printing schedule according to the production times. Further, the order of the print jobs within the printing schedule is modified according to a condition, policy, or time usage optimization. The order of the print jobs within the job queue are reordered to reflect the modified order in the printing schedule.

A dynamical hierarchical tagging system connected to a user site through a remote communications network. The system may comprise a master controller, a job management server connected to the master controller, one or more scanners in communication with the job management server, wherein the one or more scanners are configured to scan for one or more user assets located at the user site, resulting in scan results, a scan logic processor connected to the master controller, wherein the scan logic processor is configured to store the scan results in a user database, a tagging logic engine connected to the master controller, wherein the tagging logic engine is configured to tag the scan results stored in the user database, and an indexing logic processor connected to the master controller, wherein the indexing logic processor is configured to search and index the tagged scan results stored in the user database.

Methods for managing printing operations include querying a job queue at a digital front end (DFE) of a printing device to determine a number of print jobs in the job queue. A production time is estimated for each print job within the job queue. The production time relates to a processing time to print the respective print job at the printing device. Each print job is scheduled within a printing shift in a defined printing schedule according to the production times. Further, the order of the print jobs within the printing schedule is modified according to a condition, policy, or time usage optimization. The order of the print jobs within the job queue are reordered to reflect the modified order in the printing schedule.

The invention discloses a CAE software management system and method, and relates to the technical field of CAE software management, and the method comprises the steps that a graphic rendering virtualization module provides a virtual desktop environment, so that a user interacts with a CAE interface based on the virtual desktop environment to generate a task description file; the job management and monitoring module receives the task description file and performs standardization processing on the task description file to obtain a standard task description file; the computing resource intelligent scheduling module performs resource matching on the standard task description file through a scheduling algorithm to determine a target computing node, and processes the CAE simulation task through the cross-platform scheduler adapter module and the standard task description file according to the target computing node; and when the computing resource intelligent scheduling module processes the CAE simulation tasks, the data management and security control module performs data synchronization through a distributed file system, creates an independent virtual sandbox environment for each CAE simulation task, and binds a sandbox with a target computing node.

To provide a business management system and a business management method that facilitate managing the overall project by building a series of business flows with multiple boxes and managing the boxes to be able to conduct business management.SOLUTION: In a business management system, a business management server 2 comprises a storage unit that stores project information including business flow information decomposed into multiple business units for a construction project, a display that displays the project information as appropriate, and a control unit that controls the project information to be displayed on the display. The business management system is characterized in that the business units compose boxes, and the multiple boxes have a series of business flows, and each box has at least a predetermined check item, and when all the check items in one box are completed, the business flow information migrates to the next box.SELECTED DRAWING: Figure 2

To support the reproduction of research data in research using an HPC system.SOLUTION: A history management system includes: a first collection unit for collecting job management number information representing a management number of a job and job script identification information identifying a job script from a job queue which sequentially assigns an input job to one of a plurality of server computers, and generates first job information; a second collection unit for collecting job management number information and program identification information identifying a program corresponding to a process from a server computer which executes the process based on the job, and generates second job information; and a storage unit for generating and storing first history information by using the first job information acquired from the first collection unit and the second job information acquired from the second collection unit.SELECTED DRAWING: Figure 3

To provide a work management method and a work management device for properly managing an execution schedule of concrete placing work in consideration of weather on the day of work.SOLUTION: A processor 21 acquires first data related to an expected amount of rainfall in a work place on an execution day before the execution day of concrete placing work, and sets a first time corresponding to the expected amount of rainfall indicated by the first data as an execution time of the work when the expected amount of rainfall indicated by the first data is equal to or less than a first threshold. Further, the processor 21 acquires, on the implementation day of the work, the second data relating to the expected amount of rainfall at the work site on the implementation day, calculates the weight increase amount due to rainwater per unit volume of the concrete body during the implementation of the work when the expected amount of rainfall indicated by the second data is equal to or less than the second threshold, and executes the warning processing when the weight increase amount is equal to or more than the reference value or when the elapsed time from the implementation start time point of the work exceeds the implementation time of the work.SELECTED DRAWING: Figure 2

The embodiment of the invention provides a voice dialogue job management method based on a large model, a program product, equipment and a medium, and relates to the technical field of artificial intelligence. In the outbound operation process of a user, the outbound record information of this time is input into a pre-established large model to obtain first outbound operation management information used for indicating next outbound operation or second outbound operation management information used for indicating ending of the outbound operation, and if the first outbound operation management information is obtained, the outbound record information of this time is input into the large model, and the outbound record information of this time is input into the large model. If the first outbound operation management information is obtained, next outbound operation is carried out on the user according to next outbound task information in the first outbound operation management information, and if the second outbound operation management information is obtained, the outbound operation on the user is ended. The large model is utilized to flexibly judge whether to carry out next call-out on the user or not and determine execution details of the next call-out task according to the call-out condition, so that the call-out operation process of the user is flexibly managed, and maximization of service benefits is facilitated.

A work management system inputs work data for an area and articles to be managed by a warehouse management system, the work data being data in which, for work for conveying the articles in the area, a work content and a work time for each worker are recorded. The work management system makes one or a plurality of detectors to detect a position of an arbitrary person and time at the position in the area at least during a period during which the work data is recorded, and generates movement data based on a result of the detection. The work management system matches, based on the work data and the movement data, the arbitrary person indicated by the movement data with the worker by using the time as a key, thereby identifies the arbitrary person, and associates the movement data with the work data with respect to the identified worker.

It is possible to precisely manage a task in operation by precisely inferring the task with use of a trained model that is constructed by machine learning. A task management device (3) includes: a first outputting section (312) configured to output a detection class that is inferred to appear in a task at a time point at which a captured image is obtained, the detection class being inferred by inputting the captured image to an index inference model (321); and a task inferring section (314) configured to infer, on the basis of an output result from the first outputting section, the task being carried out at the time point at which the captured image is obtained.