28 results about "Work status" patented technology

The invention relates to a remote-control system of a stratospheric airship and a control method thereof. The control system is divided to four levels: a decision-making level for executing the selection and switch of a remote-control flight mode according to the actual working state data, and sending a corresponding mode command; a planning level for dynamically planning and generating an airship motor drive command according to the mode command sent by the decision-making level; an executing level for realizing the drive control to an airship motor according to the motor drive command of the planning level; and a perceiving level for finishing the real-time monitoring and data collection of the airship working state, and providing the original data of the airship working state to the decision-making level. The four-level control system architecture design of the control system is capable of simplifying the control device, improving the control efficiency, and fundamentally solving the problems of the function, efficiency and reliability of the near space airship ground and airborne control system.

Embodiments of the invention disclose a method, a device and a system for processing a wake-up lock, and belong to the field of computer technology. The method comprises the following steps: detecting whether a wake-up lock is in a working state, and if so, obtaining a wake-up parameter corresponding to the wake-up lock, wherein the wake-up parameter comprises an arithmetic operation corresponding to the wake-up lock and an application program corresponding to the wake-up lock; judging whether the arithmetic operation corresponding to the wake-up lock requires a sensor of a terminal; if not, generating a wake-up transfer request according to the wake-up parameter, sending the wake-up transfer request to a server, and releasing the wake-up lock, wherein the server is used for executing the arithmetic operation corresponding to the wake-up lock; and receiving a wake-up message sent by the server, and waking up the terminal according to the wake-up message. By adopting the method disclosed by the invention, after a display screen of the terminal is closed, the system time occupancy of the application program can be reduced, the power consumption of the terminal is reduced in the case that the display screen of the terminal is closed, and the standby time of the terminal is prolonged.

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

The invention provides a fire operation safety management system, which belongs to the technical field of operation safety supervision and comprises an operation application unit, a measure confirmation unit, an operation examination and approval unit, a start confirmation unit, an operation implementation unit and an operation completion unit. The measure confirmation unit matches and confirms operation safety measures; the job approval unit matches an approval process including multi-stage approval and face recognition verification; the work starting confirmation unit verifies the tools, senses the environment and secondarily confirms gas monitoring; the operation implementation unit is linked with data to supervise the operation state; and the work completion unit guides acceptance, returns tools and the like and archives work tickets. The system has the beneficial effects that operation approval management is strengthened, an intelligent safety protection system of'full-chain control, whole-process trace reserving and full-risk pre-judgment 'is constructed by means of hardware auxiliary means such as field monitoring and personnel positioning, closed-loop management of an operation process is realized, and intrinsic safety transformation from an enterprise to active prevention is promoted.

The invention discloses an employee welfare demand prediction and dynamic recommendation method based on deep learning, relates to the technical field of demand prediction recommendation, and is used for solving the problems that a traditional recommendation system often depends on static user preferences or single-dimensional historical data, most recommendation systems are based on a few factors and cannot adapt to changes of the user preferences in time, and the recommendation effect is poor. An existing recommendation algorithm usually depends on historical data of a single user to carry out recommendation, and collective behaviors and preferences of similar users are ignored. And more accurate personalized recommendation is realized by collecting wish item input of the employees and setting a recommended tag proportion in combination with a tag proportion. According to the feedback data and operation conditions of the employees, the system can dynamically adjust the proportion of the recommendation labels and the similarity threshold value, so that the recommendation effect is continuously optimized, different recommendation methods are selected according to different conditions, the recommendation flexibility and diversity are improved, and the diversified requirements of the employees can be better met.

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 disclosure provides a method and system for detecting violations based on a deep learning model. Applied to the field of industrial safety monitoring technology, the method includes: acquiring real-time monitoring data from a factory work site; extracting multi-level features from the data using a pre-set violation identification model to form a monitoring feature representation characterizing the work status; semantically matching the monitoring feature representation with semantic nodes in an initial semantic knowledge graph to determine target semantic nodes and establish feature mappings, thus constructing a reasoning semantic knowledge graph; and based on this, performing violation risk reasoning on the semantic nodes and their topological relationships, analyzing risk contribution and propagation paths, and finally generating violation risk assessment information and violation event monitoring results. This solution enables interpretable reasoning, improves the accuracy and reliability of violation identification, predicts violation evolution trends in advance, and provides a forward-looking decision-making basis for work safety monitoring.

An object is to provide a distribution control system capable of appropriately distributing an advertisement to a worker. A distribution control system according to the present disclosure includes a worker attribute acquisition unit for acquiring a worker attribute indicating a worker attribute, a work situation acquisition unit for acquiring a work situation of the worker, an advertisement determination unit for determining an advertisement to be distributed to the worker based on the worker attribute and the work situation, and a distribution control unit for controlling distribution of the advertisement.

An object of the system according to the embodiment is to efficiently automate a working state of an employee, salary calculation, a social insurance procedure, and financial planning.SOLUTION: A system includes a working state collection part, a salary calculation part, a social insurance procedure part, a financial planning part, and a fund strategy proposal part. A working state collection part automatically collects the working state and PC operation of the employee. The salary calculation part automatically calculates the salary of the employee based on the data collected by the working state collection part. A social insurance procedure part automates procedures of social insurance and tax on the basis of the salary data calculated by the salary calculation part. A financial planning part simulates financial planning in the financial aspect of the employee on the basis of the salary data. A fund strategy proposing part proposes an effective fund strategy on the basis of the result simulated by the financial planning part.SELECTED DRAWING: Figure 1

To provide a work analysis device capable of reducing the burden on a user to check work status by checking multiple tasks that seem inefficient at once, and / or checking multiple tasks with different efficiencies at once, and a work analysis method.SOLUTION: A work analysis device includes: a video acquisition unit that acquires video of footage of a specific task being performed multiple times by a worker; a work breakdown unit that calculates the total work time required for each task and non-work time during which no work was actually performed based on the video; a decomposition result display unit that plots the work on a coordinate plane with total work time and non-work time as the axes, and displays marks; a mark selection unit that selects a mark arbitrarily from the displayed marks based on the operation by the user; and a video display unit that displays the video of the work corresponding to the selected mark.SELECTED DRAWING: Figure 6

The invention provides a flexible employment intelligent order sending system based on big data, and belongs to the field of intelligent order sending. The problem of low order dispatching efficiency is solved; specifically, a data acquisition module acquires platform information; the demand analysis module is used for acquiring a historical order quantity of each platform, and constructing and calculating an order-time equation and an initial order quantity of each platform; the order distribution module obtains worker information; obtaining the current time and the current order number of each platform, distributing non-working workers for each platform for the first time in combination with the business types and working states of the workers and the order-time equation, and judging whether the workers are enough; if so, not processing; if not, additional orders are distributed to the working workers; the distribution updating module updates worker distribution of each platform; according to the invention, the related data of the platform and the workers are acquired, analyzed and processed, the workers are allocated to the platform, and the completion rate of orders is improved.

To easily record a work log by an operator.SOLUTION: A voice input unit receives voice input. A storage unit stores, in association with time, device log information indicating an operating status of a currency processing apparatus, and voice log information indicating a work status of an operator which is input by the operator's voice via the voice input unit.SELECTED DRAWING: Figure 3

An object of a system according to an embodiment is to identify a bias in working hours of employees and to quickly deal with the bias.SOLUTION: A system according to an embodiment includes a work situation monitoring unit, a work time deviation specification unit, and an alert providing unit. The working situation monitoring part collects working data of employees. A work time deviation specification part analyzes the work data collected by the work situation monitoring part, and specifies the deviation of the work time. An alert providing part provides an alert based on the deviation of the working hours specified by the working hour deviation specifying part.SELECTED DRAWING: Figure 1

The application discloses a labor real-name system management method, system and equipment, and the method comprises the following steps: monitoring the working state of each personnel, monitoring the working behavior of the personnel in the sign-in state, and monitoring the sign-off duration of the personnel in the sign-off state; comprehensively evaluating the labor according to the working behavior monitoring result and the sign-off duration monitoring result of each personnel in the daily planned working time window, updating the pre-constructed labor knowledge graph based on the comprehensive labor evaluation result, and using the updated labor knowledge graph for labor real-name system management; the application realizes dynamic and comprehensive monitoring of the working process of the labor personnel by monitoring the signed-in personnel and the signed-off personnel, realizes comprehensive labor evaluation in the time-space dimension by combining the working track and the working time, improves the labor achievement evaluation accuracy, realizes precise tracing of the whole life cycle of the labor real-name system by real-time maintenance and update of the labor knowledge graph, and greatly reduces the management cost and the labor dispute risk.

The present application provides a construction monitoring method, comprising: acquiring multi-view video image data of a construction site, fusing the multi-view video image data using an image stitching algorithm to obtain a panoramic three-dimensional scene model of the construction site; acquiring image frames in the panoramic three-dimensional scene model, analyzing the image frames using a pre-trained work type recognition model to obtain position information of workers and equipment of each work type; acquiring the position information of workers of each work type, analyzing the posture of each worker using a pre-trained human posture estimation model to obtain motion status information of each worker; acquiring the position information and motion status information of workers of each work type, and judging the specific working status of workers of each work type in combination with a pre-established work type operation knowledge base.

The invention relates to the technical field of work management, and discloses an RFID warehouse employee management method and system, and the method comprises the steps: carrying out the identity authentication of an RFID work card worn by an employee through an RFID detection network disposed in a warehouse, so as to obtain a perception triggering record of the employee in the warehouse; and performing staff movement track analysis on the perception trigger record based on a digital map of the warehouse to obtain movement path information of the staff, performing staff working state evaluation on the movement path information according to a work supervision standard to generate a working state record of the staff, and sending corresponding guide information to the staff.

This invention provides a method and system for quantitatively assessing the overall work status of an organization, belonging to the field of organizational workload management technology. The method uses the quantitative assessment results of individual employee workloads as its underlying support. On the one hand, it calculates and statistically analyzes the overall workload compliance rate of the organization; on the other hand, it deeply analyzes the level distribution characteristics of each dimension, including workload, work status, work ability / efficiency, work attitude, and overtime, ultimately constructing a panoramic distribution view of the overall work status of the organization. This method effectively solves the problems of incomplete assessment scope, insufficient measurement accuracy, and lack of guidance in assessment results existing in traditional assessment models, providing standardized and quantifiable analytical basis for accurate judgment of the overall work status of the organization and scientific formulation of management decisions.

The invention discloses an enterprise employee risk early warning method and system based on artificial intelligence and a medium, and the method comprises the steps: obtaining a real-time work video, and determining the identity information and personalized evaluation information of each employee in the real-time work video; extracting an expression change feature vector and a behavior change feature vector of each employee; inputting the expression change feature vector and the behavior change feature vector into a pre-trained intelligent recognition model, determining an expression state anomaly degree and a behavior state anomaly degree, and performing quantization processing to obtain an expression anomaly quantized value and a behavior anomaly quantized value respectively; determining a first weight and a second weight according to the personality evaluation information of the corresponding employee; performing weighted summation according to the expression anomaly quantized value and the behavior anomaly quantized value to obtain a working state fluctuation score of the employee; and when the working state fluctuation score is greater than or equal to a preset early warning threshold value, generating an early warning signal. According to the invention, the timeliness and accuracy of risk judgment of the working state of the employee can be improved.

This invention relates to the field of rural recruitment, and discloses an employment management system and method suitable for rural recruitment, comprising: an employer terminal, a cloud management platform, and a labor force terminal; both the employer terminal and the labor force terminal are bidirectionally connected to the cloud management platform; the labor force terminal is equipped with a multi-dimensional perception module for labor force status and a skill tag management module; the employer terminal is equipped with a module for accurately publishing labor demand; the cloud management platform integrates an intelligent matching and triggering engine, a two-way selection and credit evaluation module, a data management module, and a labor resource visualization management module; this invention solves the problems of information asymmetry between rural employers and labor force, variable labor force work status, low efficiency in matching employment relationships, and high cooperation risks due to the lack of a credit system and evaluation system in the prior art.

To improve convenience for employers such as shift managers and job seekers such as applicants for one-time work.SOLUTION: A work schedule planning support device includes a regular-worker recruitment proposal unit for proposing recruitment of regular workers under a regular work contract on the basis of the work status of one-time workers under a one-time work contract.SELECTED DRAWING: Figure 11

An information provision device (10) has a degree of concentration inference unit (131), a cognitive proficiency inference unit (132), and a work state evaluation unit (133). The degree of concentration inference unit (131) infers the degree to which a worker that is performing work is concentrating on the work on the basis of information about the behavior of the worker. The cognitive proficiency inference unit (132) infers the cognitive proficiency of the worker with respect to the work on the basis of the information about the behavior of the worker. The work state evaluation unit (133) infers a work state for the worker from a work efficiency that is a reference calculated from the cognitive proficiency, a work efficiency measured for the worker, and the degree of concentration.

A method for automatically labeling the safety standards of low-voltage power distribution operations includes the following steps: Step S1: Obtaining a power distribution operation screen and inputting the screen into a recognition model; Step S2: The recognition model identifies the worker and their work status based on the power distribution operation screen, wherein the work status includes the worker's position and clothing; Step S3: Obtaining a risk score for the current worker based on their work status, and determining the worker's risk level based on the risk score falling within a preset level range; and assigning a risk level to the worker's vicinity in the power distribution operation screen. The recognition model of the present invention, based on advanced algorithms and technologies, can accurately identify key information such as the worker's position and clothing, reducing errors that may be introduced by manual observation. This allows for proactive preventive measures, reduces the likelihood of accidents, and improves operational safety.

The invention discloses an employee state management method and device, and relates to the technical field of enterprise management. The method comprises the following steps: acquiring data from multiple aspects, inputting a pre-trained state judgment model, and comprehensively and accurately acquiring a first state, a second state and a third state of an employee. And employee incentive strategy matching is carried out based on the states, and the effect is remarkable. On one hand, personalized incentive can be realized, the most appropriate incentive measures are matched according to different states of the employees, and the working enthusiasm and satisfaction of the employees are improved; on the other hand, the working state of the staff can be adjusted in time, and the problems of low working efficiency, talent loss and the like caused by poor state are avoided. And meanwhile, the enterprise is facilitated to optimize human resource configuration, work tasks are reasonably allocated according to employee states, and the overall operation efficiency is improved. In addition, continuous state monitoring and excitation strategy matching can form a virtuous circle, continuously promote employee growth and enterprise development, and enhance enterprise competitiveness.

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.

The invention discloses a labor service real-name system management method, system and device, and the method comprises the steps: monitoring the working state of each person, carrying out the working behavior monitoring of the person in a sign-in state, and carrying out the sign-out time monitoring of the person in a sign-out state; comprehensive labor service evaluation is carried out according to the working behavior monitoring result and the sign-off time length monitoring result of each person in the planned working time window of the current day, a pre-constructed labor service knowledge graph is updated based on the comprehensive labor service evaluation result, and the updated labor service knowledge graph is used for labor service real-name system management; according to the invention, by monitoring the sign-in personnel and the sign-out personnel, the dynamic comprehensive monitoring of the working process of the labor service personnel is realized, the comprehensive labor service evaluation of the space-time dimension is realized by combining the working track and the working time, the labor service result evaluation accuracy is improved, and the labor service evaluation accuracy is improved by maintaining and updating the labor service knowledge graph in real time. Accurate tracing of the whole life cycle of the labor service real-name system is achieved, and the management cost and labor service dispute risks are greatly reduced.

This invention provides a childcare facility shift management system, method, and program that optimizes the allocation of childcare workers in childcare facilities in real time. [Solution] In the shift management system, the facility-side terminal device includes: a status calculation unit that calculates the work status information of each employee; a required number calculation unit that calculates the required number of employees for each management time period based on the calculated occupancy status information and predetermined legal data; a determination unit that compares the number of employees working with the required number based on the work status information and determines whether the required number is met; a display information generation unit that generates real-time data for displaying the determination results by the determination unit in a comparative manner for each management time period; and an output control unit that displays the real-time data as a shift display on a display device.

To provide a work support system and a work support method that improve workability by allowing a worker to visually check an overall image of a work process, including a process currently being worked on, on a mobile terminal.SOLUTION: A work support system 10 displays at least work information 60 on display units 53 of mobile terminals 50A, 50B,... 50N carried by workers a, b,... n. In a management PC 20, the work information 60 can be divided into a plurality of work groups A, B, and C, and a plurality of work procedures 1; 2, 3; 4; 5, 6; 7 and work contents A1; A2, B3; B4; B5, C6; C7 for each work procedure 1; 2, 3; 4; 5, 6; 7 can be set. On the display units 53, a list 101 of a plurality of work groups A, B, C, and, among the plurality of work groups A, B, C, a plurality of work procedures 3, 4, 5 and work contents B3, B4, B5 belonging to the work group B currently working are displayed together with work status 102.SELECTED DRAWING: Figure 8

This invention provides a method and system for quantifying and evaluating individual employee workload, belonging to the field of employee workload management technology. By proposing the WU decomposition method for the first time, it classifies and breaks down various complex tasks in the R&D and management processes into multi-level, standardized categories, defining the smallest quantifiable work unit. This transforms abstract work content that was originally difficult to measure into calculable WU values. A comprehensive individual evaluation system covering multiple dimensions such as "workload saturation, workload, work status, work ability / efficiency, work attitude, and overtime" is constructed. This breaks through the limitations of traditional evaluations that only focus on work completion, providing organizations with a comprehensive and three-dimensional data profile of individual employee performance. It not only improves the efficiency of data entry and processing, but more importantly, it bridges the information gap between evaluation data and actual work data, achieving efficient collaboration between work execution and work evaluation.