41 results about "Work status" patented technology

The invention provides a building construction monitoring method, which comprises the steps of obtaining multi-view video image data of a construction site, and performing fusion processing on the multi-view video image data by adopting an image splicing algorithm to obtain a panoramic three-dimensional scene model of the construction site; acquiring an image frame in the panoramic three-dimensional scene model, and analyzing the image frame by adopting a pre-trained work type identification model to obtain position information of operating personnel and equipment of each work type; acquiring position information of the operating personnel of each type of work, and analyzing postures of the operating personnel by adopting a pre-trained human body posture estimation model to obtain action state information of the operating personnel; and acquiring the position information and the action state information of the operating personnel of each type of work, and judging the specific operation state of the operating personnel of each type of work in combination with a pre-established work type operation knowledge base.

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 belongs to the technical field of labor tool management, and particularly relates to a multifunctional labor tool operation management system, which comprises an acquisition module, a PCBA (Printed Circuit Board Assembly) module, a wear detection module, a service life prediction module and a work quality analysis module, according to the invention, authority management is carried out through the RFID card reading unit, in-place and integrity detection is carried out on the labor tool by using the micro contact switch and the electric conduction contact reed, the state of the labor tool is monitored through the Internet of Things detection unit, and data transmission is realized through wireless communication, so that safe use and management of the labor tool are ensured; by configuring the wireless data transmission unit, the working state and the state of the labor tool are displayed in real time, the intuition and the effectiveness of management are further improved, the use permission, the in-place state and the integrity of the labor tool are effectively managed, and safe use of the labor tool is guaranteed.

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.

To provide a knowledge management device capable of efficiently managing knowledge information relating to a work process of a worker.SOLUTION: A knowledge management device includes: an acquisition unit that acquires work information of a work process of a worker; a determination unit that determines a work state of the worker on the basis of the work information acquired by the acquisition unit; a question generation unit that generates a question sentence relating to the work state of the worker on the basis of a determination result of the determination unit; an inquiry unit that transmits the question sentence generated by the question generation unit and receives an answer to the question sentence; and an information registration unit that registers, in a storage unit, knowledge information in which the work process and the answer received by the inquiry unit are associated with each other.SELECTED DRAWING: Figure 3

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

To reduce a labor in an input of a worker as a user, and improve an usability in a calling center system.SOLUTION: An information processing device comprises: a corresponded information storage part that stores correspondence information to which type information indicating a type of a working state of a worker and execution information indicating a processing to be executed at an absence of the worker are corresponded; an acquisition part that acquires working information indicating a working state of the worker from a working information storage part that is different from the corresponded information storage part; a determination part that determines the processing to be executed at the absence of the worker on the basis of the type information and the execution information that are corresponded in the corresponded information when the working state indicated in the working information is in an absence state; a reception part that receives requirement information on a request of a telephone conversation with the worker; and an execution part that executes the processing determined by the determination part in responce to the reception of the request information by the reception part.SELECTED DRAWING: Figure 1

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 support device for supporting employers employing foreign workers compatibly to minimize input and create various types of reports that must be submitted.SOLUTION: A support device 1 using the specified skilled worker system, etc., includes: an extraction unit 112 for extracting prescribed foreign employees having a designated status of residence and enrolled during a designated enrollment period, from a foreign employee database 131 managed by a management unit 111; a report specification unit 116 for specifying types of reports that employers are required to submit regarding the prescribed foreign employees based on a first response, etc., relating to labor situations of the prescribed foreign employees; a missing information specification unit 117 for specifying missing information that is not included in any of the foreign employee data and labor situation information among information described in a report based on the specified types, etc.,; and a generation unit 120 for generating a report of a specified type based on a second response relating to the missing information.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.

The invention discloses a method and a system for evaluating the working efficiency of human resources based on cloud data. The system comprises the following modules: a login module, a display module, a detection module, a statistics module, a local database, a cloud server and a cloud database. The method is characterized in that the working process comprises the following steps: S1, logging in the login module; s2, the system interface displays the time duration after attendance checking is started; s3, displaying a working state by a system interface, and switching to other states; s4, counting the time of the user in the state and calculating the duration in each state counting module; and S5, the statistics module counts the currently accumulated service time length, the small rest time length, the dining time length, the payable time length and the inactive time length, calculates the working hour utilization rate, stores the working hour utilization rate into a local database, and uploads the working hour utilization rate to the cloud server to be stored into the cloud database at the same time. And S6, exiting from the login module. And S7, integrating the statistical data of all employees in the local database and the cloud database, and checking, comparing and checking the man-hour utilization rate condition of each employee. The invention provides a method for calculating the personal man-hour utilization rate besides recording the attendance checking condition of the employees on duty and off duty, the personal man-hour utilization rate is counted by utilizing cloud data, the employees are accurately evaluated according to big data, the problems of the employees are found, and the working efficiency of the employees is promoted to be improved in a targeted manner.

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

To provide a support device for supporting employers employing foreign workers compatibly to minimize input and create various types of reports that must be submitted.SOLUTION: A support device 1 using the specified skilled worker system, etc., includes: an extraction unit 112 for extracting prescribed foreign employees having a designated status of residence and enrolled during a designated enrollment period, from a foreign employee database 131 managed by a management unit 111; a report specification unit 116 for specifying types of reports that employers are required to submit regarding the prescribed foreign employees based on a first response, etc., relating to labor situations of the prescribed foreign employees; a missing information specification unit 117 for specifying missing information that is not included in any of the foreign employee data and labor situation information among information described in a report based on the specified types, etc.,; and a generation unit 120 for generating a report of a specified type based on a second response relating to the missing information.SELECTED DRAWING: Figure 1

The invention provides an employee state monitoring method and system based on face multi-modal information deep learning, and relates to the technical field of employee state monitoring, and the system comprises a face collection module, a face processing module, a deep learning module and an emotion evaluation module. The face acquisition module is used for acquiring basic face information and work face information of employees; the face processing module is used for analyzing the collected data; the deep learning module is used for constructing a convolutional neural network; the emotion evaluation module evaluates the work face information of the employee based on a convolutional neural network to obtain the real-time state of the employee; according to the invention, the face data of the employees in the basic state and the working state are obtained, and the face data of the employees in different states are compared, analyzed and processed to obtain the real-time states of the employees, so that the problem that the fatigue states of the employees cannot be judged due to the fact that the existing employee monitoring system does not obtain and analyze the face states of the employees is solved.

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.

To support recovery from troubles encountered during target agricultural work by remote operation or autonomous operation of a working machine.SOLUTION: The remote control device (51) comprises a monitoring processing unit (73) that acquires the work status of a working machine (10) performing target agricultural work through remote operation or autonomous operation, and a trouble processing unit (74) that determines whether recovery from trouble is possible through remote operation of the working machine or autonomous operation of the working machine when the trouble occurs in the target agricultural work, and notifies a request for help to an emergency contact when such recovery is not possible.SELECTED DRAWING: Figure 1

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.

The invention discloses an intelligent prompting system and prompting method for engineering machinery, and the system comprises an information collection part which is used for collecting the working state information of mechanical equipment; the controller is used for receiving the working state information transmitted by the information acquisition component, performing working condition calibration according to the working state information, and outputting recommended setting information in combination with the working condition and the received performance expected value; and the input display device is connected with the controller and is used for selecting an operation mode, inputting a performance expected value and displaying prompt information and recommended setting information output by the controller. The working condition calibration is performed by collecting the working state information of the mechanical equipment in current operation, and the optimal setting mode and parameters are provided through the corresponding mathematical model in combination with different working conditions, driver operation habits and performance expected values, so that intelligent parameter setting of the engineering machinery under different working conditions and driver operation habits is realized, and the working efficiency of the engineering machinery is improved. And the working mode and the set parameters of the engineering machinery are optimally matched with the current working condition.

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