40 results about "Work hours" patented technology

The present application relates to the technical field of computer, in particular to a kind of experience-based field technician scheduling method and system, method includes: obtaining scheduling input data, including the directed graph of node and task node, travel time, available technician set, skill domain information, proficiency level, skill domain demand and demand proficiency level, income, task time window, work time window, service duration mapping relationship;According to proficiency level and demand proficiency level, compatible relationship is generated and experience-related service duration is calculated;Under the feasibility constraint, scheduling scheme is constructed, task node unique allocation is satisfied, job route is started from node and returns node, service starting time is determined according to travel time and experience-related service duration to satisfy time window;Heuristic insertion generates initial scheduling scheme;Iterative local search generates neighborhood, temperature parameter probability acceptance, disturbance and cooling;The optimal scheduling scheme is output to maximize the income.The present application can solve the problem of inaccurate time consumption estimation and insufficient plan robustness caused by the fact that the experience / proficiency of technicians is not explicitly reflected in the existing field technician scheduling.

A system is provided.SOLUTION: A terminal means for collecting vital data of a craftsman, a server means for receiving and storing the vital data transmitted from the terminal means, a generation AI algorithm means for analyzing a work time and a movement time of the craftsman by the server means and generating an optimum schedule, a notification means for transmitting the schedule generated by the server means to the terminal means, and an improvement means for transmitting performance data of the craftsman from the terminal means to the server means and performing re-analysis.SELECTED DRAWING: Figure 1

The present application relates to the technical field of train dispatching, in particular, the present application relates to a kind of train service work order priority dynamic scheduling method and system based on multi-modal fusion, real-time acquisition work order multimodal data in the present application, fusion structured field, fault text semantics and visual features by cross-modal semantic alignment model, generate work order feature vector, combine basic weight rule set to calculate initial priority;Monitoring work order time limit difference, emergency order superposition incremental emergency promotion coefficient with difference reduction;Based on the number of load work order, work hour saturation and mobile state calculation master resource utilization rate, high load area inhibits the priority of non-emergency work order, and is preferentially assigned to idle master;Finally, according to work order priority weight global ordering, combine master real-time state and position, generate optimal allocation instruction execution scheduling, realize multi-modal information and resource state coordination, balance work order time limit and regional load, improve scheduling efficiency and resource utilization rate.

To calculate projected labor costs that more accurately reflect actual costs. [Solution] The cost accounting unit 102c obtains employee, work content, and work time from the daily report data stored in the storage unit 106, refers to the employee master 106e to obtain the planned man-hour unit price code using the employee as the key, refers to the work content classification determination master 106b to obtain cost elements using the obtained work content as the key, refers to the planned man-hour unit price master 106d to obtain the planned cost (standard unit price, multiplier) using the obtained planned man-hour unit price code and cost elements as the keys, and calculates the planned labor cost for each cost element for the obtained employee by multiplying the planned cost by the work time.

The application discloses an integrated warehouse logistics personnel equipment input estimation decision support method, relates to the technical field of intelligent warehouse logistics, and comprises the following steps: acquiring historical throughput, current inventory, order to be processed and planned business activity type data of a target warehouse logistics area; obtaining predicted throughput of each time unit in a target estimation period, correcting the predicted throughput, combining a preset work hour quota data table, calculating baseline personnel work hour demand and baseline equipment work hour demand; converting the baseline equipment work hour demand and the baseline personnel work hour demand into theoretical equipment input quantity and theoretical personnel input quantity of each time unit respectively, matching the theoretical equipment input quantity and the theoretical personnel input quantity with actual available equipment quantity and actual available personnel quantity, and generating an equipment time-sharing deployment plan and a personnel time-sharing scheduling plan. The application can improve the accuracy and matching of resource input estimation, reduce resource idling, and improve the operation efficiency and resource utilization level of a warehouse logistics system.

The present invention relates to the work environment adaptation method for buildings and a system for realization the adaptation method that creates a certain effect and analyses levels of a person's performance and happiness taking into account the current work environment in a fixed or mobile workplace. Such systems make it possible to analyse and improve the overall labour efficiency, and in particular the maintenance and extension of the period of valuable human performance, and allow making changes to work environment data to adjust them to an employee's short- and medium-term responses. This system is based on long-term research and makes use of the advances in artificial intelligence (Al) and affective computing systems.

To provide a work analysis device, a work analysis method, and a program capable of analyzing a work time of a worker for a moving workpiece.SOLUTION: A work analysis device 100 generates and outputs information on a work execution status of a worker M who works in a manufacturing line including a plurality of processes A, B, and C, using an image obtained by capturing the worker M, and includes an acquisition unit 11 that acquires the image, a setting unit 15 that sets, around a workpiece W, a work area WA in which the worker M performs work on the workpiece W, a calculation unit 23 that calculates a work time of the worker M based on when the worker M enters the work area WA and when the worker M exits the work area WA, and an output unit 26 that outputs the work time.SELECTED DRAWING: Figure 3

This invention provides a method, system, electronic device, and medium for performance management of research project personnel. The method includes: acquiring all project work hour data of the unit; fitting the completion cycle of various work hour tasks of the unit based on the all project work hour data to obtain a real-time mapping relationship between work hour task cycles and work hour task types; determining a planned time schedule for project work hour tasks based on the real-time mapping relationship; revising the planned time schedule based on project work hour quotas, the time schedule of similar projects being executed, and the comparable time schedule of similar projects that have been completed, to obtain a revised time schedule; and responding to the input of the project development cycle ratio and the stage target value of the project work hour task completion progress in the revised time schedule to obtain the stage target value of each work hour task of the project. This accurately predicts the work hour patterns of research project personnel, allows for timely formulation of phased personnel performance goals for research projects, and improves the efficiency of research project management.

A method, apparatus, and non-transitory, computer readable medium for scheduling a plurality of procedures in a hospital. The method interfaces with a network of the hospital to acquire resource information by monitoring a plurality of hospital resources, obtain procedure information, and access personnel information. The plurality of hospital resources includes a plurality of rooms and medical devices and the personnel information includes qualifications and working hours. The method further includes processing the resource information, procedure information, and personnel information to generate one or more hospital schedules using a model based on a predetermined parameter hierarchy and modified based on a hardness quotient. The hospital schedule assigns an at least one room, medical device, and personnel for each procedure. The method then ranks the hospital schedules and interfacing with the network of the hospital to electronically reserve the rooms and electronically prepare the medical devices based on a ranked hospital schedule.

The application discloses a workshop human resource allocation optimization method based on personnel dynamic assembly work hour estimation, solves the problem of inaccurate personnel allocation based on experience in the existing production scene, and the problem of inflexible personnel allocation based on fixed standard assembly work hour in the existing research. Based on learning and fatigue-recovery effect theory, the application estimates dynamic work hours in the assembly process of average technical level workers, and obtains relative work efficiency of multi-level technicians. Then, a mathematical model with the target of minimizing assembly workshop human resource cost is constructed. Finally, the particle swarm algorithm is improved from the aspects of coding mode and dynamic adjustment mode of inertia factor, and the model is solved.

The application discloses a supervision system for effectively controlling project labor cost, and the innovation point is that the project labor cost accounting constitution granularity is scientific and reasonable, in order to realize project cost efficiency optimization, the project events generating labor cost are split into basic task event work hour units which can be marked as completed plans, the project manager designs the basic task event units matched with the project according to the characteristics of the cost events, generates work orders with unique dispatching numbers through a dispatching module, associates the project (project name, work site), task (task number, task name, planned work hour) and personnel (required professional title, required major) and publishes the associated work order in a task pool. The system automatically dispatches matched personnel to form a task work order from the associated work order in the task pool, and the personnel need to complete the task and report work hours within the planned time after confirmation, or the project manager can close the task work order at the planned work hour deadline, so that the completion work hours of each basic task event unit are controlled, and the total project work hours are further controlled.

The application discloses a kind of based on deep learning's sewing equipment work hour intelligent detection method and system, through real-time acquisition sewing equipment motor start-stop signal and cloth tension change data by sensor, and synchronous acquisition job image sequence, after pre-processing, fusion construction multimodal dataset;The multimodal dataset is input into target detection model, accurately identifies equipment operating state and operator on-site key state, forms continuous state sequence label;Further, extract the feature vector related to cutting line action from the state sequence, use deep learning algorithm to deeply mine its time series correlation law, to intelligently judge and divide effective sewing interval and invalid time interval, realize the accurate segmentation of real production time;On this basis, the duration of each effective sewing interval is accumulated to form a single-process work hour value;The application greatly improves the work hour accounting precision and management refinement level of garment manufacturing enterprises.

The invention provides a man-hour abnormal data identification method and device, equipment, a medium and a program product. The working hour abnormal data identification method comprises the steps of performing statistical characteristic analysis of data distribution on a working hour sample of a worker, and determining skewness statistics of a long tail deviation side represented by the data distribution; according to the skewness statistics, respectively adjusting a lower limit threshold and an upper limit threshold of a normal fluctuation range of the man-hour data to obtain an adjusted range; the adjusting directions of the lower limit threshold value and the upper limit threshold value are consistent with the deviation side of the long tail; and removing abnormal man-hour data exceeding the lower limit threshold and the upper limit threshold of the adjusted range in the man-hour sample, and retaining normal man-hour data in the adjusted range to obtain effective man-hour data of the worker. Therefore, more accurate effective man-hour data of workers can be obtained, and abnormal value identification is more accurate.

Appropriately evaluate the work capabilities of workers. [Solution] As an evaluation method, a work time prediction model that has learned the work times for multiple tasks performed by multiple workers during a first period is used to estimate the work time for standard tasks performed by each worker, and a first proficiency level of a specific worker during the first period is estimated based on the ranking of the work time for standard tasks performed by a specific worker in the distribution of work times for standard tasks performed by multiple workers.

The application discloses a crew shift dynamic allocation method and system based on multi-constraint optimization, relates to the technical field of crew shift allocation, and comprises the following steps: acquiring a first work hour load, a first task efficiency index, a second work hour load and a second task efficiency index in a current stable allocation stage, calculating a difference value between the second work hour load and the first work hour load to obtain a work hour difference, calculating a difference value between the second task efficiency index and the first task efficiency index to obtain an efficiency difference, calculating a ratio of the work hour difference to the efficiency difference to obtain a dynamic allocation correction coefficient; and correcting a shift allocation result of a next stable allocation stage by the dynamic allocation correction coefficient to obtain a corrected shift allocation. The application introduces the concept of the stable allocation stage, calculates the dynamic allocation correction coefficient based on the work hour load and the task efficiency index in the continuous stable stage, and realizes adaptive optimization of the allocation strategy.

This invention provides a human-efficiency integrated work hour closed-loop accounting management method and system based on artificial intelligence, belonging to the field of data processing technology. The method includes: assigning tasks based on employee attribute data and project task attribute data; associating and binding employee clock-in time data with employee-matched project task sets; generating a human-efficiency integrated work hour accounting model based on historical project task efficiency datasets; and using the human-efficiency integrated work hour accounting model to perform closed-loop work hour accounting on employee work hours, bound project task sets, employee salary data, and employee actual output data, obtaining the human-efficiency integrated work hour accounting results for work hour optimization management. This solves the technical problem of existing technologies where employee contribution and output efficiency cannot be accurately quantified. It achieves the technical effect of accurately assessing employee efficiency, optimizing work hour allocation, and improving overall enterprise human efficiency by constructing a unified four-dimensional accurate accounting mechanism encompassing work hours, tasks, salaries, and efficiency.

The invention discloses a man-hour evaluation method and device, a storage medium and electronic equipment, and relates to the technical field of education, and the method comprises the steps: obtaining the function demand information of target software; identifying semantic information corresponding to the function demand information, and performing function demand splitting on the function demand information according to the semantic information to obtain a plurality of function demand points corresponding to the target software; performing function information matching on the plurality of function demand points in a target function information base, and determining a plurality of target functions and function configuration information of the plurality of target functions; and evaluating a plurality of configuration working hours corresponding to the plurality of target functions according to the configuration working hours and the configuration complexity, and determining software construction working hours corresponding to the target software according to the plurality of configuration working hours. According to the method, the function demand information is divided into a plurality of function demand points, so that the deviation of man-hour evaluation is reduced; the man-hour evaluation accuracy is improved by configuring the man-hour and configuring the complexity to evaluate the man-hour.

The invention provides a cost distribution method and device and a storage medium, and the method comprises the steps: obtaining to-be-distributed cost data, the to-be-distributed cost data comprises a plurality of projects, the project type of each project, the cost amount, and the subject type to which the cost amount belongs; obtaining man-hour data of each project; based on the project type of each project, determining a distribution path of each project and a target distribution project; determining a distribution mode of each item based on the subject type to which the expense amount of each item belongs; and based on the man-hour data or the cost amount of the target allocation item of each item, according to the allocation path and the allocation mode corresponding to each item, allocating the cost amount of each item to the target allocation item to obtain an allocation result. According to the invention, automatic distribution is realized, and the problems of low manual operation efficiency and poor accuracy are solved.

A method for automatedly determining hours of operation (HOO) is provided. A system for work allocation is also provided. A method for generating staffing forecasts is also provided. The method for automatedly determining hours of operation includes performing historical data analysis on historical data comprising past data for a plurality of skills, queue reports for the plurality of skills, or a combination thereof; identifying trends in skills demand for each of the plurality of skills based on the historical data analysis; performing analysis on forecasted reports for skills allocation to generate future demand patterns for each of the plurality of skills; performing HOO analysis for each of the plurality of skills based on the generated future demand patterns and identified skills demand trends; generating a report of the HOO analysis for the plurality of skills; and providing the analysis report to a user.

This system provides a time management system that automatically measures the working time of each worker with simple operation, even when multiple workers are engaged in multiple different tasks, allowing for an intuitive understanding of each worker's workload. [Solution] This is a work time management system 1 for managing the work hours of multiple workers WK1 to WK3, and includes a terminal 10 that displays icons WN1 to WN3 indicating the location of each worker WK1 to WK3 and work areas SA1 and SA2. When workers WK1 to WK3 or administrator KR move icons WN1 to WN3 into work areas SA1 and SA2 on the terminal 10, the work time measurement unit measures the work hours, and when they move them outside work areas SA1 and SA2, the work time measurement stop unit stops the measurement. The work time accumulation record unit records the measured work hours for each work area SA1 and SA2 and for each worker WK1 to WK3, and the display control unit displays the aggregated results.

The invention discloses a man-hour prediction method and device, electronic equipment, a storage medium and a product, and relates to the technical field of computers, the man-hour prediction method comprises the following steps: obtaining operation data of a user, and decomposing the operation data based on a plurality of preset operation types to obtain a plurality of operation events with a sequential relationship; constructing and obtaining an operation graph based on each operation event, and performing feature extraction on the operation graph through a graph neural network model to obtain operation features used for representing an operation behavior mode of the user; based on the operation event within the preset duration, calculating to obtain an efficiency correction coefficient for representing the attention state of the user; and obtaining a task context feature of the to-be-developed task, inputting the operation feature, the efficiency correction coefficient and the task context feature into a preset prediction model, and obtaining a prediction man-hour of the to-be-developed task output by the preset prediction model. According to the embodiment of the invention, high-precision and high-reliability man-hour prediction can be realized.

The embodiment of the application belongs to the field of artificial intelligence, and relates to a work hour data processing method, comprising obtaining a data query request and a current work mode; wherein the data query request is used for querying work hour data; all work hour data corresponding to the data query request is called from a database; a first identifier corresponding to the current work mode and a second identifier corresponding to the work hour data are respectively obtained; if the first identifier and the second identifier are the same, the work hour data is taken as target data; if the first identifier and the second identifier are different, a cycle granularity corresponding to the current work mode is obtained, the work hour data is processed by data conversion according to the cycle granularity, and target data is generated; and the target data is processed into report data. The application also provides a work hour data processing device, a computer device and a storage medium. The application realizes flexible switching between project models and has wide applicability.

The invention provides a man-hour management system and method based on heterogeneous collaboration, and the system comprises a database collaboration module which is constructed based on a relational database and comprises at least one temporary data buffer table and at least one business main table; the lower computer data acquisition module is deployed in a production field and is used for communicating with industrial control hardware to acquire production events and state data in real time and writing the acquired real-time data into the temporary data buffer table; the upper computer man-hour management module is used for extracting data from the temporary data buffer table through a preset trigger mechanism, processing the extracted data and persistently storing the processed data to the service main table; the processing at least comprises the steps of performing man-hour calculation based on a configurable man-hour calculation strategy and performing data verification based on a preset data source priority. The man-hour management system provided by the invention can shield differences between heterogeneous platforms to realize collaboration, breaks through information islands, and improves the efficiency and accuracy of man-hour data management.

A work hour acquisition method, a work hour acquisition device, a terminal device, a server and a computer readable storage medium, the work hour acquisition method comprises: acquiring the operation performed by a user on a work page (S201); if the operation performed on the work page is a preset operation, acquiring the operation log of the user (S202); and reporting the operation log to a preset message system (S203), wherein the preset message system provides the operation log for a server, and the work hour of the user performing a task is acquired by the server according to the operation log, wherein the task refers to a task corresponding to the task identification information. Through the method, the work hour of the user performing the task can be accurately acquired.

The article to which this design relates is an image for inputting work hours. As shown in the reference diagrams illustrating the usage state and the names of each part, this image is used for inputting employee work hours. The slider is slidable along the scale, and the percentage of work hours is entered by sliding the slider.

A salary management device and a method therefor are disclosed. The present invention allows salaries to be automatically distributed by wage category by using a circular reference function on the basis of total salary according to user input and extended hours according to work hours in an automatically converted numeric format, and thus the salaries can automatically be distributed by wage category within a range not exceeding the total amount of monthly salary inputted by the user, so that the monthly salary amount initially expected by the user cannot be exceeded, the resulting value can be checked in real time so that the user can set work hours and salary as desired, the program setting time is shortened, and the user can self-set without expert help.

The application discloses a multitask work hour measurement cycle timing system and method, and belongs to the technical field of timing equipment. The system comprises a multitask management module, a timing control module, a time display module, a data storage module, a data management module, a mobile adaptation module and an offline support module, can simultaneously independently time a plurality of production tasks, each timing unit can be independently named and equipped with a complete control button; the method realizes efficient timing through six steps of task initialization, timing control, cycle recording, data storage, data management and desktop shortcut creation. The system supports cycle recording one-key operation, centralized data storage and CSV format export, is adapted to multiple devices through responsive design and supports desktop shortcut creation, can clearly distinguish different tasks, and provides an accurate, convenient and systematic work hour measurement solution for industrial production.

According to the technical scheme of the invention, the method comprises the steps: building a project scene through the information, such as a scene material item, a reference scale, a scale index, a tension coefficient, an extension coefficient, a manager man-hour price, a technician man-hour price, and the like; and a scale factor coefficient calculation module, a construction period factor coefficient calculation module, a technical complexity factor coefficient calculation module and a risk factor coefficient calculation module are introduced, so that the production product construction and service price can be accurately estimated. The method has the following advantages of high adaptability and accuracy: the scale index, the extension coefficient, the tension coefficient and the risk factor are innovatively integrated into the evaluation model, so that the adaptability and accuracy of the method under different project scales are enhanced. Specifically, the scale index can quantify the influence of the complex scene on the project cost, and it is ensured that the model can still maintain high-level accuracy when processing the complex scene. And the extension coefficient and the tension coefficient are introduced, so that the model can more accurately predict the influence of the project period on the project cost. Meanwhile, due to the introduction of risk factors, the uncertainty of a complex project is quantified, so that the overall evaluation precision of the model in a simple to complex scene is further improved.

The invention relates to the field of project management, in particular to a research and development project management system and method based on an ameba system. The research and development project management system comprises a post quotation configuration module which is used for performing man-hour pricing by taking ameba as a unit to generate a data template; the approval module is used for distributing the approval authority to a corresponding approver and receiving an approval result of the approver; and the internal order module is used for calling the data template to calculate the research and development cost after the approval is passed, creating a research and development order and sending the research and development order to the corresponding research and development personnel. The research and development project management system is used for automatic management based on the ameba operation mode, various tedious labor in management is reduced, the development cost of a research and development department and management of the research and development amount can be controlled, the technical effects of online automatic accounting and online rapid approval are achieved, paperless office is achieved, and the working efficiency is improved. The working efficiency of research and development departments is improved, the working efficiency is improved, and the error rate is reduced.

The invention relates to the technical field of salary accounting, and discloses an automatic accounting method and system using work salary data, and the method comprises the steps: carrying out the heterogeneous data fusion of employee activity process data and salary reference definition data, and obtaining an original accounting data set; constructing a task execution reference time axis according to the key event sequence, and performing adaptive dynamic framing to obtain divided time slices; analyzing the data in the divided time slices to obtain an effective working state, and aggregating to obtain a man-hour metering result; based on a charging rule and an association condition in the original accounting data set, rule-driven coupling matching calculation is carried out on the task man-hour metering result to obtain a to-be-checked emolument amount; based on an independent data subset in the original accounting data set, performing inversion verification on the to-be-checked salary amount to obtain target recheck salary data; stipulated packaging is carried out on the target rechecking salary data, and an accounting result file is obtained; according to the invention, the efficiency of salary accounting can be improved.