1097 results about "Work site" patented technology

To predict the working time of sorting work for taking out merchandise and sorting it for each shipping destination.SOLUTION: The prediction device 100 includes a prediction unit 113 that predicts a work time of sorting work, which is work of taking out and sorting articles from a storage that stores the articles, based on a plurality of orders related to the articles (commodities), and calculates the work time as a predicted work time. The prediction unit 113 calculates the predicted working time based on the input information including the type of article to be taken out from the storage, the number of articles to be taken out from the storage, and the number of articles included in each order. The storage may be a storage shelf that the transport robot carries to a work place of the sorting work. The item may be transported along a predetermined path to a work location of a sorting operation. Further, a worker who performs the sorting work may move to a place where the storage is placed and perform the sorting work.SELECTED DRAWING: Figure 3

The invention provides a vision-based maritime work equipment monitoring method, which comprises the following steps of: acquiring and preprocessing a maritime work site image, and performing image segmentation by using an SAM model to automatically generate a high-quality target mask; and in combination with a text prompt input by a user, the Grounding DINO model automatically detects the maritime work equipment in the image and generates a detection frame, and the detection frame is combined with a segmentation mask of the SAM model to refine a detection result. A Grouping DINO model is finely adjusted on an SAM automatic labeling data set, the ability of the Grouping DINO model to adapt to the marine environment is improved, and the detection performance is continuously improved through the loop optimization process. According to the method, excellent performance is shown on a ShipDataset data set, the average precision (AP) of the method exceeds that of a traditional model, particularly on maritime work equipment detection, high robustness and precision are shown, and powerful technical support is provided for safety and efficiency of offshore operation.

The invention discloses a video analysis-based multi-scene operator violation behavior identification method and system, and belongs to the technical field of intelligent operation safety monitoring and artificial intelligence identification, and the method comprises the steps: collecting a real-time video stream of a multi-scene operation site; recognizing a continuous action time sequence in the real-time video stream by using an action recognition depth model; constructing the continuous action time sequence into an action behavior sequence; the action behavior sequence is constructed into a directed behavior graph with time, space and action labels, the directed behavior graph is compared with a directed behavior graph corresponding to the standard action behavior sequence, and illegal behaviors are recognized; and carrying out multi-mode early warning on the identified illegal behaviors. According to the method, the bottleneck that the traditional image recognition technology is weak in action sequence semantic understanding and poor in environmental adaptability is broken through, and accurate recognition and real-time early warning of illegal behaviors in multi-scene operation are achieved.

A management system for a work vehicle includes: a standard value calculation unit that calculates a standard value related to a detection value based on the detection value of a first attitude angle sensor when a work vehicle including the first attitude angle sensor stops at a predetermined position of a work site; and a diagnosis unit that determines presence or absence of abnormality of a second attitude angle sensor based on the standard value calculated by the standard value calculation unit and a detection value of the second attitude angle sensor when a work vehicle including the second attitude angle sensor stops at the predetermined position.

The invention discloses a power worker behavior detection method and related equipment. The method comprises the following steps: acquiring first data in a scene where a worker is located through a camera in a working site; the first data comprises continuous frame images or a video sequence lasting for preset time; analyzing the first data to obtain a current first identification result of the operator; the first identification result is used for representing whether the operator lacks of wearing the protective equipment and / or carries illegal articles; determining the current posture of the operator from the first data; and fusing the first recognition result and the current posture to obtain the operation risk level of the operator. The method can be widely applied to the technical field of artificial intelligence.

The invention relates to the technical field of intelligent construction site management, and particularly discloses a labor service management system for a construction site, and the system comprises a real-name management module which is used for inputting real-name data of labor service personnel; the attendance checking module is used for acquiring entry registration and exit registration information of the labor service personnel every day and generating an attendance checking record according to the entry registration and exit registration information, and the salary management module is used for automatically calculating basic salary according to an attendance checking report; the server is also used for analyzing whether the basic salary in the labor service salary table is consistent with the basic salary calculated by the attendance report, and if not, generating a salary making and issuing error early warning; and the registration verification module is used for acquiring the personnel photo of the work site, identifying the personnel identity according to the personnel photo and the input face verification information, judging whether the real-name labor service personnel have the corresponding entry registration of the day or not, and generating an unregistered prompt if the real-name labor service personnel do not have the corresponding entry registration of the day. According to the technical scheme, the construction site labor service management efficiency can be effectively improved, and labor service disputes are avoided.

The invention discloses an operation analysis method and system for a mobile robot fused with an industrial mechanical arm, and the method comprises the steps: receiving a work order, then splitting a task, determining sub-task parameters, and optimizing the predicted time based on historical data; mapping and positioning are synchronized in the moving process, and the positioning precision is guaranteed through an SLAM model and prediction-correction logic; planning a global path and a residence position, and coping with a dynamic obstacle through a weighted scoring method and an MPC model; the operation position is precisely aligned to compensate the ground unevenness error; recognizing a workpiece and selecting an optimal grabbing point; the contact force and rigidity are dynamically adjusted when operation is executed, and automatic retreating and fine adjustment are performed when abnormity occurs; the grabbing quality and the advancing safety are confirmed; and data is updated after ending, and low-power automatic charging is realized. According to the method, the problems that a traditional technology path and operation planning are separated, sensing is single, robustness is poor, an operation strategy is difficult to adapt, and a standardized quick change and calibration mechanism is lacked are solved.

The invention discloses an iron tower operation safety early warning system and method, and relates to the technical field related to intelligent safety early warning, and the system comprises a data obtaining unit which is used for obtaining Beidou three-dimensional coordinate data and an operation site panoramic image in real time; the operation scene model establishing unit is used for establishing a dynamic three-dimensional operation scene model; the prediction model building unit is used for tracking the motion trail of each operation target based on the coordinate data and building a prediction model fusing kinematics rules and machine learning; and the risk level judgment unit is used for carrying out risk level judgment according to the spatial position and the attribute characteristics of the intersection area and generating operation early warning information. The technical problems of insufficient safety early warning accuracy and timeliness caused by insufficient high-altitude operation target dynamic track monitoring precision and risk early warning lagging in the prior art are solved, and the purposes of accurately identifying the movement track intersection risk in real time, dynamically evaluating the safety level and improving the safety early warning efficiency are achieved. And the early warning accuracy and timeliness of the operation safety of the iron tower are improved.

The present invention relates to the technical field of foundation pit support, and discloses a foundation pit support monitoring and early warning system, including a software model system, an on-site support system, a deformation monitoring system, a safety early warning system and a graphic digital display system, and also discloses a foundation pit support monitoring and early warning method, including the following steps: S1, geological data input; S2, soil model establishment; S3, support structure model establishment; S4, support structure on-site arrangement; S5, deformation monitoring establishment; S6, safety early warning establishment. The present invention uses a reinforcement method of geological data input, soil model establishment, support structure model establishment, support structure on-site arrangement, deformation monitoring establishment and safety early warning establishment, thereby dynamically monitoring the foundation pit through the combination of the model and the work site, thereby comprehensively reflecting the influence of various factors on the support structure and the stress and displacement of the axonal soil in space and time, and realizing the safety during the excavation of the foundation pit.

The invention relates to the technical field of wireless positioning, in particular to an intelligent positioning analysis method and system for a safety tool, and the method comprises the steps: collecting the video data and voice data of a high-altitude operation site in real time through a video collection module worn by an operator; the method comprises the following steps: acquiring far-end high-altitude operation video data through a ground camera, and when the far-end high-altitude operation video data is lower than a preset value, acquiring three-dimensional position data of personnel in real time through a wireless positioning module; establishing a three-dimensional electronic fence model on the monitoring platform, and synchronizing the three-dimensional position data to the three-dimensional electronic fence model; when the monitoring platform detects that the three-dimensional position data exceed the three-dimensional electronic fence, early warning is triggered; after early warning is triggered, video data and voice data of the aerial work site in the corresponding time period are obtained, personnel posture information in the video data is analyzed, and abnormal types are recognized in combination with voice keywords. Therefore, personnel supplementary positioning under the condition of low visibility can be realized, and the reliability of the positioning monitoring system is improved.

The invention relates to the technical field of building engineering construction, and particularly discloses a vacuum conveying device and method for a cast-in-situ bored pile top mixture. The vacuum conveying device comprises a working ground and two bearing plates, the two bearing plates are symmetrically arranged, a bottom plate is arranged at the bottom ends of the bearing plates, and the bearing plates are detachably connected with the bottom plate; an annular sliding rail is detachably arranged at the top end of the bottom plate, a suction mechanism is slidably arranged at the top end of the annular sliding rail and used for extracting and recycling a mixture around the filling hole, and the mixture around the pile filling hole can be extracted through the arrangement of the suction mechanism; and the waste gas is conveyed into the separation barrel through the recovery vacuum pump and the conveying main pipe for separation, so that the surrounding environment is prevented from being polluted, the cleanliness of a working site is kept, and the recovery efficiency is improved.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

Provided is a work site simulation system provided with a computer (20). The computer (20) sets a partial region of a site model (M11), which is shape information of a work site S, as a selected region, and converts the site model (M11) within the selected region into a changeable model (M15). The changeable model (M15) is shape information on which modification processing by the computer (20) is permitted. The modification processing includes at least one of deformation, movement, addition, and deletion. The computer (20) limits the modification processing for the site model (M11) to a greater extent than the modification processing permitted to be performed on the changeable model (M15).

The invention relates to the technical field of risk assessment based on big data, and provides a post-disaster regional operation risk assessment method based on a Beidou technology, and the method comprises the steps: building an impact analysis model based on disaster types through multi-dimensional information, and combining with the condition of a target work site, so as to assess the risk of post-disaster field operation. In order to achieve the purpose, the post-disaster regional operation risk assessment method based on the Beidou technology is provided and comprises the steps that daily multi-source data collection and standardization processing are carried out on a target region, and indoor and outdoor scene dynamic judgment models are established respectively for risk index calculation; and after the disaster occurs, detecting the target area again, comparing the detection result with the comprehensive risk index, and accurately evaluating the risk again. According to the method, after-calamity risk assessment is converted from fuzzy judgment to quantitative accuracy, operation preparation is converted from experience driving to data driving, and direction guidance is provided for after-calamity safe and efficient operation in the power industry through risk assessment.

The invention discloses a TOA positioning-based crane work control method and application thereof, and the method comprises the following steps: arranging a plurality of UWB base stations on a work site, and configuring corresponding UWB positioning labels on work parts and obstacles of a crane; distance information of working parts of all cranes and obstacles is obtained through a UWB base station; based on the TOA positioning technology, real-time space positions of working parts of the crane and obstacles are obtained; performing inversion on the position of each working part of the crane to obtain attitude information when the crane works; according to the attitude information of the crane and the spatial position information of each obstacle, constructing a three-dimensional digital twinborn model corresponding to the crane and the site where the crane is located; and according to the relative position between the crane and the obstacle in the model, the operation of the crane is intervened or an early warning signal is sent out according to a preset condition. According to the invention, the crane can be effectively prevented from colliding with obstacles in the operation process, and accidents of collision injury to operators and equipment damage on an operation site are reduced.

A mobile machine for operation at a work site having a work surface includes: a frame; a traction device mounted to the frame, the traction device moving the mobile machine with respect to the work surface; a surface-engaging implement mounted to the frame, the surface-engaging implement being raisable and lowerable with respect to the frame; a first sensor for providing a machine speed of the mobile machine; a second sensor for providing a machine location of the mobile machine; and a controller storing a three-dimensional site plan associated with the work site, the three-dimensional site plan including at least one keep-out zone, the controller receiving the machine speed and the machine location, and, based on the machine speed and the machine location with respect to the at least one keep-out zone, to: raise the surface-engaging implement and maintain the machine speed, raise the surface-engaging implement and reduce the machine speed.

The invention provides a field operation personnel management and control system for a new energy project, and relates to the technical field of operation personnel management and control, and the system comprises a personnel positioning module which is used for obtaining the real-time positioning data of operation personnel; the electronic fence generation module is used for generating an electronic fence in the operation site according to the information of the operating personnel, and the information of the operating personnel comprises real-time positioning data; the unsafe behavior monitoring module is used for carrying out unsafe behavior identification according to the real-time positioning data and the electronic fence; and the safety awareness awakening module is used for performing safety awareness reminding according to an unsafe behavior recognition result. The system has the advantage of realizing intelligent and reliable operation personnel management and control.

A combine harvester serving as a work vehicle includes a cabin covering a driving section, and a receiving device for measuring a position in a work site based on positional information. The receiving device is installed in a position on a rear side relative to a front-rear center position in a front-rear direction of a machine body with respect to the cabin.

[Problem] A work vehicle capable of easily recognizing an operation state of a device that receives correction information for correcting received positional information is provided. [Solution] A work vehicle including a device that receives positional information in a work site includes a correction information terminal 210 that receives correction information for correcting the positional information from a base station located outside the work site, and a steering section 15 for steering the vehicle. The correction information terminal 210 displays an operation state of the correction information terminal 210 and is disposed in the steering section 15.

The present invention relates to a system for predicting a safety accident at a railway work site, and to a railway work site safety accident prediction system comprising intelligent CCTV, a network, and a safety accident prediction server in order to monitor and control railway safety information in real time by integrating data of a conventional safety detection device and data of an intelligent safety monitoring device, wherein the safety accident prediction server controls a transmission and reception unit such that video information acquired through the intelligent CCTV is received through the network, and thus collects the video information in a database (DB), thereby verifying whether a worker is working in a designated work area and whether the worker is wearing protective gear, requests verification from a big data server corresponding to a railway safety information DB server if the worker is not in the work area or is not wearing protective gear, and stores the history thereof in the DB.

An unmanned vehicle management system includes: an inter-vehicle distance determination unit that determines an inter-vehicle distance between a sprinkling vehicle and an unmanned vehicle traveling behind the sprinkling vehicle in a same direction as that of the sprinkling vehicle based on a sprinkling state from a sprinkling spray provided in the sprinkling vehicle traveling in a work site; and an output unit that outputs, to the unmanned vehicle, inter-vehicle distance data indicating the inter-vehicle distance determined by the inter-vehicle distance determination unit.

The utility model discloses a labeling and sleeving integrated device which comprises a labeling mechanism, the labeling mechanism structurally comprises a rotary conveying mechanism, a self-rotation driving mechanism capable of driving a container to rotate is arranged at each station of the rotary conveying mechanism, and a container input mechanism, a labeling assembly and a container output mechanism are arranged on the outer side of the rotary conveying mechanism. The container output mechanism comprises an output star wheel assembly, the output star wheel assembly comprises an output star wheel, a plurality of clamping and blocking grooves are evenly formed in the circumference of the output star wheel at intervals, and at least one set of labeling mechanism is arranged above the path, rotating outwards from the rotary conveying mechanism, of the output star wheel. The labeling machine has the advantages that the structure is simple and extremely compact, the length of the conveying mechanism is greatly shortened, so that the space occupied by equipment is effectively saved, and labeling and labeling are efficient, rapid and stable.

The invention provides a mechanical arm teleoperation system adaptive to a quadruped robot and a control method, and relates to the technical field of robot control. According to the method, firstly, a far-end main mechanical arm is introduced on the basis of a mechanical arm of the quadruped robot to form a main-end mechanical arm system and a slave-end mechanical arm system, and a remote operator remotely maps an action instruction to the slave-end mechanical arm system by controlling the main-end mechanical arm; then, a clamping jaw module with an image and tail end contact force sensor is installed at the tail end of the slave end mechanical arm, and image data collection and tail end contact force collection on a working site are achieved; secondly, the image information and the tail end contact force are remotely transmitted to a remote operator in real time through a wireless transmission module and a remote man-machine interaction module; and finally, a remote operator controls the main end mechanical arm in real time according to the real-time image information and the tail end contact force, remote operation of the quadruped robot mounting mechanical arm in a complex scene is achieved, and the operation efficiency and the operation precision are improved.

The invention discloses a facility agriculture voice interaction system based on a large model, and relates to the technical field of voice interaction. Comprising a voice signal acquisition and enhancement module, a voice recognition and semantic standardization processing module, a feature extraction and emergency degree quantification module, an intelligent evaluation and emergency instruction judgment module and a priority scheduling and response execution module, voice signals are continuously monitored through a multi-microphone array of the wearable terminal, the direction of a voice source is enhanced by using a far-field beam forming technology, the signals are processed through a time domain / frequency domain noise reduction algorithm, and finally voice streams are cached in real time with millisecond-level sampling precision. Through the multi-microphone array and far-field beam forming technology, voice capture is optimized, noise is reduced, real-time voice recognition and semantic analysis of the edge server are combined, the priority of emergency instructions is quantified, it is ensured that resources are rapidly scheduled to process emergency tasks, the agricultural production efficiency is improved, and crop losses are reduced.

A sawmill assembly includes a bed and a carriage. The bed has a pair of substantially parallel rails, and the carriage is movably supported along the rails. The bed includes an extension bed member pivotably attached to a main bed member with a combination bunk / hinge to allow an operator to fold the bed between an extended in use position and a stowed position for transporting the sawmill assembly to or from a work site with a tow vehicle.

The invention discloses an operation site safety identification method and a management and control instrument. The method comprises the following steps: acquiring a data set; constructing a work site safety identification model and training the work site safety identification model by using the data set, wherein the work site safety identification model comprises an input layer, a backbone network, a feature fusion network and an output layer which are connected in sequence; identifying a target image of the power distribution operation site by using the trained operation site safety identification model to obtain the dressing and behavior of the personnel or the state of the equipment in the target image; and according to the dressing, behavior or equipment state of the personnel in the target image, determining whether there is an operation potential safety hazard, and when there is the operation potential safety hazard, giving an alarm. The method can accurately identify the position and category information of the target in the image, thereby reducing the possibility of accident occurrence, and improving the safety guarantee of a power distribution operation site.

The invention discloses a working site safety distance early warning method and device, a medium and computer equipment, and the method comprises the steps: obtaining an original depth image containing working personnel and working equipment in real time, carrying out the denoising processing, obtaining a processed depth image, and recognizing and segmenting a working personnel region and a working equipment region; according to parameters of the depth camera, pixel coordinates of all pixel points in the processed depth image are converted into three-dimensional space coordinates, and the distance between the operating personnel and the operating equipment is calculated in real time based on the three-dimensional space coordinates of all the pixel points corresponding to the operating personnel and the operating equipment; and the alarm bell is dynamically adjusted for warning according to the comparison condition of the distance calculated in real time and the preset safety distance standard. Analysis and early warning are carried out in combination with a safety distance rule, so that the safety distance problem between the operating personnel and the operating equipment can be found in time, namely, key safety distance evaluation and control capability can be provided for a safety prevention and control system through early warning of potential risks.

The invention discloses a stacker fault diagnosis method based on lightweight MobileViT, and relates to the field of stacker fault diagnosis, and the method comprises the steps: S1, deploying a sensor group based on a stacker work site, and obtaining original sensing data of eight modes; s2, preprocessing the obtained original sensing data based on a multi-sensor data fusion preprocessing process of noise reduction reconstruction-fusion-two-dimensional coding to obtain corresponding two-dimensional image data; s3, dividing the obtained two-dimensional image data, and training a MobileViT model based on the training set and the verification set; s4, inputting the test set into the trained MobileViT model to perform fault diagnosis, and performing visual analysis on the result, the lightweight MobileViT model designed by the application can greatly reduce the parameter quantity of a traditional deep learning model; the method has good classification performance, and especially has good practicability in the field of fault diagnosis of the stacker.

The invention discloses a method and device for detecting a characteristic decomposition product NF3 of mixed gas in electrical equipment, and the device comprises a preprocessing unit, a gas chamber, a non-dispersive infrared light source assembly, a narrow-band filter, a light path assembly, an infrared detector and a data processing unit. The real-time detection of the NF3 gas on the working site is realized, and the concentration of the NF3 gas can be accurately detected.

The invention provides a man-machine interaction safety dynamic early warning method based on digital twinning and behavior prediction, and the method comprises the steps: S1, collecting the real-time data of a working site through a sensing layer, and enabling the data to comprise the personnel position, equipment state and environment information; s2, constructing a digital twin model based on the acquired data, wherein the model maps the dynamic state of a working site in real time; s3, generating a personnel behavior track and an equipment action range through a prediction algorithm, and calculating a dynamic risk field to evaluate space-time conflicts; s4, according to the risk value of the dynamic risk field, triggering a multi-stage early warning mechanism to reduce the risk of the operation field; and S5, displaying the real-time state and risk information in the digital twinborn model through a visual interface. According to the invention, through deep fusion of digital twinning and dynamic risk prediction, real-time monitoring and accurate prevention and control of the safety risk of the operation site are realized, and the safety management efficiency and the operation safety are greatly improved.