173 results about "Job management" patented technology

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.

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.

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

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 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 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.

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 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.

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.

The present invention supports finer unit management of work in a field. The work management method includes determining an operation state of a work device (30) at each time on the basis of operation information of the work device (30) that performs work in a field (500). Furthermore, the work management method includes determining, on the basis of the operation information of the work device (30), a ridge (510) on which the work device (30) performs work at each time. Furthermore, the work management method includes outputting work information indicating display images (400, 400B) in which the operation status of the work device (30) at each time and the ridges (510) on which the work device (30) has performed work are associated with each other and are displayed, the display images (400, 400B) indicating the operation status of the work device (30) and the ridges (510) on which the work device (30) has performed work.

To enable easy and reliable verification of whether the work was performed correctly after the work is completed. [Solution] The work management system displays work guideline images in the work guideline image display field 202 of the work management screen 200 and displays work performance images on the work performance display screen 220.

To provide an action recognition device that enables more appropriate work management in production sites. [Solution] The behavior recognition device according to the present invention is a behavior recognition device that recognizes the behavior of a worker in a workspace for producing an object, and comprises: an authentication unit that authenticates the worker in the workspace based on skeletal information of the worker stored in advance; and a voice recognition unit that authenticates the worker's voice, recognizes the start and end of work in a predetermined process related to the object to be produced based on the worker's voice, and obtains the start time and end time of the work.

To provide an elevator safety work management system and safety management method that can accurately detect a distance and an orientation of a worker while working.SOLUTION: A safety work management system 50 comprises an orientation / distance measurement tag 20, a worker-side antenna 33, a portable terminal 30, and a distance / orientation estimation unit 34. The orientation / distance measurement tag 20 is installed in a car or a hoistway, and has a tag-side antenna 23. The worker-side antenna 33 transmits and receives radio waves with the tag-side antenna 23. The portable terminal 30 has the worker-side antenna 33 and is held by a worker. The distance / orientation estimation unit 34 estimates an orientation and a distance of the portable terminal 30 relative to the orientation / distance measurement tag 20 based on information from the worker-side antenna 33 or the tag-side antenna 23.SELECTED DRAWING: Figure 4

The invention relates to the technical field of industrial robot collaborative obstacle avoidance, in particular to a multi-scene industrial robot collaborative obstacle avoidance method and system based on visual guidance. Comprising the following steps: S1, collecting visual data of the industrial robot, generating a two-dimensional work management area at the same time, and performing initial volume setting on the industrial robot in the work management area; s2, carrying out transportation volume analysis on the industrial robot according to the visual data; differentiation cost coefficients are set for robots in a transportation state and a non-transportation state, the total cost of each obstacle avoidance path is calculated, and the path with the lowest total cost is selected for updating, so that all the robots are ensured to avoid obstacles, the efficiency of high-priority tasks is guaranteed preferentially, the overall operation delay caused by disordered obstacle avoidance is avoided, and the obstacle avoidance efficiency is improved. By means of the global collaborative path planning mode, efficient operation of the industrial robot under multiple scenes is achieved.

To provide a work management system and a program for easily confirming the presence / absence of useless work.SOLUTION: Provided is an information processing device including: a predicted sales amount per person-time calculation unit which calculates a predicted sales amount per person-time on the basis of a predicted sales amount per unit time and a scheduled number of employees scheduled to work per unit time; a real sales amount per person-time calculation unit which calculates a real sales amount per person-time on the basis of a real sales amount actually sold in a unit time and a real number of employees actually worked; and a display processing unit which displays a first time zone in which the real sales amount per person-time is smaller than the predicted sales amount per person-time and a difference between the real sales amount per person-time and the predicted sales amount per person-time is not less than a warning threshold and a second time zone other than the first time zone on a display unit in an identifiable manner.SELECTED DRAWING: Figure 1

Use the appropriate scanner profile for each image formation condition. [Solution] The print job management device manages print jobs executed by the image forming unit (image forming engine) of the image forming apparatus. The print job management device sets a scanner profile in association with the image forming conditions. The print job management device acquires information for a first scanner profile for converting the read data of a printed material that is formed under first image forming conditions, and sets a first scanner profile in association with the first image forming conditions based on the acquired information for the first scanner profile. The print job management device acquires information for a second scanner profile for converting the read data of a printed material that is formed under second image forming conditions, and sets a second scanner profile in association with the second image forming conditions based on the acquired information for the second scanner profile.

1. Name of the product of this design: Graphical user interface for operation management of electronic equipment. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface content. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The design for which protection is sought includes color. 6. Designate Design 1 as the base design. 7. Purpose of the graphical user interface: The product interface is the Xiaoxin homework user interface, where students can enter their own test answers, correct each other's homework, view transcripts, wrong question information, etc. 8. Other situations requiring explanation Other explanations: XX in the interface represents text and / or numbers and / or letters and / or symbols.

The embodiment of the invention discloses a job management method, device and equipment, a medium and a product, and relates to the technical field of financial science and technology. The method comprises the following steps: in response to an execution instruction of each job of the distributed batch job system, generating a job instance of each job, and determining dependency information of each job based on each job instance; generating a dependency relationship graph among the jobs based on the job instances and the dependency information; and in response to an execution exception instruction of a target job, determining reference jobs associated with the target job based on the dependency graph, and determining an exception reason of the target job based on the job state of each reference job. According to the scheme provided by the embodiment of the invention, the abnormal reason of each operation in the distributed batch operation system can be quickly and accurately determined, the execution efficiency of an algorithm is improved, and help is provided for stable operation of the distributed batch operation system.

To enable employers and employees to manage their work in a way that suits them.SOLUTION: A work management device comprises: a work completion notification receiving unit that receives notification that a worker has completed work; a work attitude acquisition unit that acquires a result of an evaluation of the worker's work attitude by an employer after the work completion notification receiving unit receives the notification that the worker has completed work; an additional reward determination unit that determines additional reward to be paid to the worker based on the evaluation result regarding the worker's work attitude acquired by the work attitude acquisition unit; and a reward applying unit that applies reward to the worker by adding the additional reward determined by the additional reward determination unit according to the evaluation result regarding the worker's work attitude acquired by the work attitude acquisition unit.SELECTED DRAWING: Figure 23

To enable both an employer and a worker to appropriately manage labor.SOLUTION: The work management device includes: a work schedule information acquisition unit for acquiring, for each worker, information indicating a scheduled work period within a predetermined period, an estimated amount of money expected to be obtained as a reward for the work, and information indicating the type of the work; a work record information acquisition unit for acquiring, for each worker, information indicating an actual work record within the predetermined period, an actual amount of money obtained as a reward for the work, and information indicating the type of the work; and a presentation unit for presenting, together with the information indicating the type of the work, the estimated amount acquired by the work schedule information acquisition unit, the actual amount acquired by the work record information acquisition unit, and a total amount obtained by summing the estimated amount and the actual amount.SELECTED DRAWING: Figure 28