2133 results about "Workstation" patented technology

A splice equipment assembly includes two routing paths along opposite sides of a splice region. The two routing paths do not cross. The two routing paths do not extend circumferentially around the splice region. The two routing paths provide adequate slack to allow a splice tray to be removed from the splice region and moved to a workstation outside of the splice equipment assembly. Multiple splice equipment assemblies can be mounted to the same rack (e.g., at a front and rear of the rack).

The invention discloses an intelligent manufacturing workstation safety control system oriented to man-machine cooperation, and belongs to the technical field of intelligent manufacturing and man-machine cooperation. The system comprises a multi-modal sensor array, a personnel state sensing module, a robot state monitoring module, a dynamic safety area adaptive calculation module, an intention prediction and risk assessment module, a cooperative control decision module and an execution feedback module. The dynamic safety area self-adaptive calculation module constructs geometric representation of a man-machine interaction space based on a topological manifold theory, and calculates a dynamic safety boundary in real time; the intention prediction and risk assessment module is fused with multi-source information to predict a future trajectory of a person and assess a collision risk; the cooperative control decision module performs multi-objective optimization with safety and efficiency as double objectives to generate an optimal adjustment strategy, the system realizes prospective safety control based on intention prediction, the cooperative efficiency is improved by 25%-45% on the premise of guaranteeing safety, and the working safety accident rate is reduced to be close to zero.

The utility model provides a powder assembly production line for eye shadow production, which comprises a support, a conveying mechanism arranged on the support, a plurality of eye shadow boxes arranged on the conveying mechanism in a linear array, and a plurality of powder assembly work stations arranged along one side of the conveying mechanism in a linear array. The powder assembling work station comprises a cabinet, a mechanical arm mechanism arranged in the cabinet, a conveying assembly arranged close to the mechanical arm mechanism and an upper computer arranged on the cabinet, and eye shadow powder blocks are arranged on the conveying assembly; the conveying mechanism is controlled through a speed regulator, the conveying assembly is controlled through a PLC, the mechanical arm mechanisms are all connected to the upper computers through doMot ion controllers, and the conveying mechanism and the upper computers are all connected to the main computer. According to the powder combining production line for eye shadow production, eye shadow powder blocks of different colors and types can be automatically placed in the eye shadow box, time and labor are saved, the production efficiency is greatly improved, and the production cost is reduced.

The invention provides an automatic production station working hour statistical system and method based on near field communication, the system comprises five layers of architectures including an identity recognition layer, a data acquisition layer, an edge computing layer, a cloud service layer and a terminal interaction layer, and the method completes the steps of initialization, NFC interaction triggering, multi-mode mistaken touch prevention verification and the like by means of the system. NFC, a sensor and a face recognition technology are fused, core modules such as task intelligent matching, energy consumption-man-hour linkage accounting and cross-station collaborative man-hour splitting are designed, and the system further has the functions of offline intelligent caching and multi-dimensional man-hour analysis. According to the invention, automation and precision of man-hour statistics are realized, single-station standardization and multi-station collaborative production scenes are adapted, data are ensured to be reliable and free of loss, deep fusion of production data is realized, enterprise hardware and management costs are reduced, and the intelligent manufacturing fine management level is improved.

The invention discloses a digital twinning-based three-dimensional visual management system and a digital twinning-based three-dimensional visual management method for an anode assembly workshop. The system comprises a triple binding index module, a unified time axis alignment module, a view cone inverse solution positioning module, a safety linkage arrangement module and a resume playback module, and is provided with a process template library and a network isolation / main / standby module. Three-dimensional positioning and PTZ linkage of an AI / threshold event are realized by establishing mapping of a three-dimensional object, a camera and a PLC point location; the batch / bracket / station events, the PLC time sequence and the video slices are indexed in a unified mode; shadow verification, interlocking check, instruction issuing, read-back and video consistency confirmation and trace leaving are executed according to the process, and a safe closed loop from warning to disposal is formed. The method comprises the steps of access and calibration, triple binding, time axis alignment, event positioning and stream taking, linkage processing and resume filing. The positioning and handling efficiency can be improved, the misoperation risk is reduced, and cross-production-line reuse and tracing evidence obtaining are supported.

The invention discloses a workstation electrical parameter real-time monitoring and fault early warning method, which belongs to the technical field of electrical equipment monitoring, and comprises the following steps: acquiring voltage parameter data, current parameter data and temperature parameter data through a multi-source sensor deployed in a workstation, and performing timestamp alignment processing; initial electrical parameter data are obtained and preprocessed, and preprocessed electrical parameter data are generated; historical electrical parameter data are acquired and analyzed and calculated in combination with the preprocessed electrical parameter data, and a dynamic early warning threshold value is generated; extracting multi-parameter characteristics based on the preprocessed electrical parameter data, calculating a correlation coefficient, performing collaborative analysis in combination with a dynamic early warning threshold, and generating a fault prediction result; and performing fault diagnosis according to the fault prediction result, and generating and outputting an early warning instruction. According to the invention, a mode of generating the dynamic early warning threshold and carrying out multi-parameter collaborative analysis is adopted, so that accurate prediction and intelligent graded early warning of the electrical fault of the workstation can be realized.

The invention discloses a cloud desktop resource pool dynamic prediction method, system and device, a medium and a product, and relates to the field of cloud computing, remote cloud desktop management and resource scheduling, the method comprises the following steps: preprocessing original data collected in real time based on a workstation graph node, and constructing a multi-dimensional feature vector; inputting the multi-dimensional feature vector into a machine learning model, and predicting the number of cloud desktop connection requests in a future time period; dynamically calculating cloud desktop resource pool parameters according to the number of cloud desktop connection requests; inputting the parameters of the cloud desktop resource pool into a cloud desktop session management system, dynamically adjusting the number of started cloud desktops in the cloud desktop resource pool, and synchronously updating a scheduling strategy; and according to the scheduling strategy, predicting needed available resources of the session demand in advance, and when the workstation graphic node receives the session demand initiated by the user side to the client side, calling the needed available resources. The resource utilization rate and the intelligent prediction capability are improved, and the response delay is reduced.

The invention discloses a secure cloud workstation and a resource scheduling method suitable for a high-altitude weak network environment, and the secure cloud workstation comprises a virtualization management platform which is used for carrying out the virtualization processing of core computing components of a plurality of servers contained in a back-end server cluster, and forms a plurality of virtual hosts; the front-end thin client only reserves display and input functions, establishes connection with the virtualization management platform, receives a virtual host human-computer interface pushed by any virtual host in the virtualization computing resource pool, and feeds back a user operation instruction to the virtualization management platform; the transmission protocol optimization module is used for integrating graph, input and audio data transmission channels, monitoring the network bandwidth and the delay state of a high-altitude area in real time by adopting a self-adaptive compression algorithm, and dynamically adjusting the transmission image quality and the frame rate of a virtual host human-computer interface; and the resource scheduling module is used for automatically allocating computing resources to the plurality of virtual hosts based on the load data of the virtualization management platform so as to realize cross-server load balancing.

The utility model relates to an intelligent cleaning device for a sand box, and belongs to the field of industrial automation and intelligent manufacturing. According to the scheme, the rail type RGV is adopted to automatically convey the sand box to the closed intelligent cleaning work station, and the information of the sand box is read through the RFID tag and synchronized to the information system. The cleaning robot scans the position of the sand box through the visual recognition device, and the tool changing robot grabs the adaptive drill bit from the drill bit tool library according to a system instruction and assembles the adaptive drill bit to the electric hammer chuck. And the cleaning robot drills and dredges the sand guide hole of the sand box, returns to the quick change frame to replace the electric pick, and performs multi-angle shoveling and scraping operation on the cavity of the sand box. And after cleaning is completed, the cleaning robot is switched to the sand blasting gun, and fine sand cleaning on the surface of the sand box is completed. The scheme aims at solving the problems that traditional manual cleaning is low in efficiency, severe in environment and large in potential safety hazard.

The invention discloses a media workstation control method and system for multi-sequence content editing, previewing and publishing, and belongs to the technical field of multimedia playing control, and the method is implemented by the following steps of: realizing parallel management and independent operation of a plurality of playing control schemes by introducing a multi-sequence structure; a copy isolation mechanism is introduced, editing operation is isolated from a real-time playing sequence by editing a copy, and it is ensured that the playing process is not interfered by editing; a closed-loop control mechanism composed of an editing mode, a preview mode and a real-time mode is constructed, and full-process management and control of program content from creation, auditing to publishing are achieved; a real playing engine is adopted to drive preview, the playing effect is completely restored, and real-time and preview mode sequence automatic locking is achieved in combination with binding of a playing mode and a sequence state. According to the method, closed-loop control among editing, previewing, auditing and publishing can be realized, and the stability, the safety and the working efficiency of the media workstation in a complex application scene are improved.

The utility model discloses a device for rapidly measuring ground flatness, which comprises a working table and a measuring assembly, and a rolling part for driving the working table to move is arranged at the bottom of the working table; the measuring assembly is used for measuring the ground flatness, the measuring assembly comprises a plate type distance measuring element, the plate type distance measuring element is provided with a clamping part used for being connected with a workbench, the plate type distance measuring element is used for measuring the ground flatness, the output end of the plate type distance measuring element is provided with a data processing part, and the output end of the data processing part is provided with an alarm part; according to the utility model, the plate type distance measuring element is arranged at the bottom of the working table, the moving working table measures the ground distance through the plate type distance measuring element and transmits data to the data processing part, and the data processing part calculates and processes to obtain flatness data, so that compared with the operation of performing multi-point elevation measurement by adopting a level measuring instrument, the flatness is more accurate. According to the design, the flatness of the area of the region can be measured, and the time consumption of multi-point measurement is avoided.

Disclosed in the embodiments of the present disclosure are a vehicle control method and apparatus. The method relates to the fields of autonomous driving technology and autonomous vehicles, and comprises: in response to receiving first spatial information of a first workstation, acquiring first sensing information of a first vehicle, wherein the first spatial information is generated on the basis of initial map boundary data, and both the first sensing information and the initial map boundary data are used for determining the boundary of a working area; adjusting the first spatial information on the basis of the first sensing information, so as to obtain second spatial information of the first workstation, wherein the degree of matching between the second spatial information and the boundary of the working area is greater than the degree of matching between the first spatial information and the boundary of the working area; and generating a first control instruction on the basis of the second spatial information, wherein the first control instruction is used for controlling the first vehicle to travel to the first workstation. The present disclosure solves the technical problem in the prior art of the control precision of an autonomous mining truck being reduced and thus affecting the working efficiency due to map updates being affected by network conditions.

The invention discloses a detection device and a detection method thereof, and relates to the technical field of battery processing, the detection device is used for processing and circulating among a plurality of stations of a battery production line, the detection device comprises a battery cell profiling main body and a detection assembly, the battery cell profiling main body comprises a profiling shell and a profiling tab, the profiling tab comprises a plurality of tab profiling parts, and the plurality of tab profiling parts are distributed at intervals along the first size direction of the profiling shell; the detection assembly is arranged on the profiling shell, and the detection assembly is configured to at least detect stress parameters and motion parameters of the profiling tabs in the process that the battery cell profiling main body is processed and circulated at the multiple stations. According to the technical scheme provided by the invention, the detection assembly can detect the stress parameter and the motion parameter of the profiling tab, so that the processing state of the production equipment of each station is judged in time, and the problems of long period and low efficiency existing in the mode of manual spot inspection of the production equipment at present are solved.

The utility model relates to the technical field of circuit board jet printing equipment, and particularly discloses double-platform multifunctional circuit board ink-jet printing equipment, which comprises a bed body and an ink-jet system, and is characterized in that the bed body is sequentially provided with a first workbench for placing a large-size circuit board and a second workbench for placing a small-size circuit board along a first direction; a first driving mechanism is arranged between the first working table and the bed body to drive the first working table to move in the second direction of the bed body, a second driving mechanism is arranged between the second working table and the bed body to drive the second working table to move in the second direction of the bed body, and the ink jet system is movably installed on the bed body in the first direction; when the first driving mechanism drives the first workbench to the first jet printing position, the ink jet system moves to the first jet printing position for jet printing; and when the second driving mechanism drives the second workbench to the second jet printing position, the ink jet system moves to the second jet printing position for jet printing.

This invention provides a flexible manufacturing system and a flexible manufacturing method thereof. The flexible manufacturing system includes an initial feeding platform, a first production line, a second production line, a final discharge platform, and a conveying machine. The first production line includes multiple first workstations and a first conveying mechanism, wherein the initial feeding platform feeds a workpiece onto the first production line, and the first conveying mechanism conveys the workpiece. The second production line includes multiple second workstations and a second conveying mechanism, which conveys the workpiece. The workpiece is moved from the second production line to the final discharge platform for discharge. The conveying machine is adapted to pick up the workpiece from the first or second production line and transport it.

The invention discloses a disposable absorbent article defect detection system and method based on AI vision, the system is arranged corresponding to a production line, an image acquisition module in a multi-modal imaging unit is arranged corresponding to a station on the production line so as to acquire an image and preprocess the image, the image acquisition module is arranged corresponding to an encoder, and the encoder is arranged corresponding to the multi-modal imaging unit. The encoder sends out a pulse signal to trigger the image acquisition modules, and all images corresponding to the same product acquired by all the image acquisition modules are associated based on the encoder; the AI processing unit is used for carrying out defect detection analysis and the like on the image; and the control unit is used for controlling the working state of the multi-mode imaging unit and forming a control instruction according to a detection and analysis result. According to the system, the purpose of seamless integration of defect information of multiple procedures across multiple paths and branches is achieved, so that the defects of the absorptive article can be detected more accurately and comprehensively, and products with the defects can be better removed in the follow-up process.

The invention discloses racket burr detection processing equipment and method based on machine vision, and belongs to the technical field of intelligent production control. The equipment comprises a conveying system, a clamping mechanism, an image acquisition module, a control system and a burr removing device. The conveying system conveys the rackets to a station and the rackets are fixed by the clamping mechanism; the image acquisition module acquires a racket image, and the control system identifies a burr position and plans a path according to the image; and the multi-degree-of-freedom mechanical arm carries a rotary cutting tool, and burrs are removed according to the planned path. The problems that in the prior art, manual deburring is unstable in quality and low in efficiency, and products are prone to being damaged are solved. Through the combination of machine vision and the force-controlled mechanical arm, full-automatic closed-loop operation from recognition, positioning to processing is achieved, the detection precision and the product quality are effectively improved, and the device is suitable for automatic production of complex curved-surface products such as badminton rackets.

A system for preparing orders for products stored in a logistics warehouse. The system includes: a products-storage store including plural stories, each story having a shelf unit having levels subdivided into storage locations; autonomous mobile picking robots, capable of moving around in at least one circulation zone of each story, the picking robots ensuring picking of products inside the storage locations of a given level of a shelf unit, each picking robot able to stow a picked product on a storage support of the picking robot while the robot moves around on the ground; a lift able to move a picking robot from one story of the products-storage store to another; an order preparation zone distant from the products-storage store towards which the picking robots convey picked products, the order preparation zone including a workstation for making up the order from the products conveyed by the picking robots.

A medical imaging system includes a workstation and software configured for accessing medical image data from a database and generating one of more of 1D, 2D, 3D and 4D representations of the medical image data on one or more virtual reality imaging devices, where the virtual display is manipulatable by a user through a user interface associated with the virtual reality imaging device.

In an industrial processes, a properly instrumented line facilitates capture of data including detected steps, application input, and execution graph transitions, that permit the creation of empirical models of process timing. In this context, a process controlled by individual applications, e.g., at manufacturing workstations, provides a proxy for overall process timing by dividing a workflow into a number of discrete steps completed at each workstation, and further into any number of sub-steps, each controlled by a user and explicitly completed, e.g., by user interactions with widgets or other controls of the application. These applications provide a useful framework for modeling execution timing by providing an initial, implicit model for workflow (based on application control logic) that also facilitates automated detection of process sub-steps based on execution flow, as well as detection and measurement of the contributions of individual widgets and / or combinations of widgets to the process timing. By gathering data in this manner, mixed statistical distributions can be applied based on individual timing data for each possible sub-step, widget, process step, and the like performed with each application.

The invention discloses an integrated injection molding multi-sensor production line preparation system and method. The system comprises an equipment execution system, an electrical control system, an informatization system and a process system. The equipment execution system is configured to be used for receiving the instruction split by the electrical control system and directly executing operations including processing, detecting, testing and transferring on the integrated injection molding multi-union sensor; the equipment execution system dynamically recognizes the posture deviation of a product in real time and corrects execution parameters in real time by integrating a visual positioning module and a force control self-adaptive adjustment module when executing operation on the product; the equipment execution system adopts a semi-loop line mode to complete the overall arrangement of stations; and the electrical control system is configured to be used for connecting the informatization system and the equipment execution system, upwards receiving and disassembling an instruction of the informatization system, downwards decomposing the instruction and the process parameters and driving the equipment execution system to act through the controller. And collaborative and efficient operation of the production line is realized.

The invention relates to the technical field of image processing, and discloses an AI-based lithium manganate process parameter regulation and control method and system. The method comprises the following steps: collecting lithium manganate preparation whole-process technological parameters through an infrared temperature measurement array, a pH sensor and an electrochemical workstation to establish a database, training and generating a technological parameter predictor by using an Actor-Critic deep reinforcement learning algorithm, quantifying a deviation degree output early warning level based on a fuzzy comprehensive evaluation algorithm, and determining the lithium manganate preparation whole-process early warning level according to the deviation degree output early warning level. And starting a self-adaptive PID control algorithm to generate a multi-equipment coordination control instruction set, synchronously driving an inclined mixer, a roasting kiln fan and an electrolytic bath temperature control system to adjust, detecting the product quality through an X-ray diffractometer, and feeding back an optimization control instruction. According to the invention, the process parameter control precision and the product quality stability in the lithium manganate preparation process are improved.

A warehousing system is provided. The warehousing system includes: a workstation area; at least one of at least one mixed workstation, at least one first workstation or at least one second workstation, configured to receive an order, in which the order hits first type of goods and second type of goods; a storage area, configured to store at least one first-type carrier and at least one second-type carrier; at least one first-type transporter, configured to transport the first-type carrier carrying the first type of goods to the mixed workstation or the second workstation based on a transporting instruction; at least one second-type transporter, configured to take out and transport a container from the second-type carrier to the mixed workstation or the first workstation based on the transporting instruction; and a controller, configured to send transporting instructions to the first-type transporter and the second-type transporter.

The invention discloses an intelligent production control system and method for a small household appliance assembly line, and relates to the technical field of intelligent control, and the control method comprises the steps: obtaining multi-source heterogeneous data of the small household appliance assembly line, and carrying out the preprocessing; constructing an assembly process knowledge graph and a digital twinborn model; collecting a production line state vector in real time through a digital twin model; when product switching is detected, executing sub-graph matching query, extracting a target assembly sub-graph and generating an assembly instruction sequence; calculating a cognitive load index; and performing adaptive adjustment on the assembly instruction sequence according to the cognitive load index, generating an adaptive assembly instruction, and pushing the adaptive assembly instruction to a station terminal. According to the method, accurate extraction of the assembly instruction is achieved through the knowledge graph and the digital twinning technology, self-adaptive presentation of the instruction is achieved through cognitive load evaluation, and the technical problems that in an existing small household appliance assembly line, assembly guidance information is insufficient in pertinence, the obtaining efficiency is low, and the cognitive load of workers is easily increased are solved.

The invention provides a hierarchical man-machine cooperation multi-target dynamic job shop scheduling method, and relates to the field of man-machine cooperation dynamic scheduling. On the basis of a hierarchical collaborative reinforcement learning framework, a high-dimensional global scheduling problem is decomposed into a plurality of low-dimensional sub-problems by dynamically partitioning a job set and allocating robot resources through a high-layer agent in a decision-making period, and the sub-problems are processed by the low-layer agent in parallel; two-tuple actions of a process selection rule and a processing mode selection rule of the process selection rule are quickly generated for the responsible stations in each time step and are verified, and the state space dimension needing to be processed by the reinforcement learning agent is remarkably compressed. Besides, a proposed target sharing type collaborative mechanism ensures that global multi-target weight parameters calculated by a high-level agent guide local decision of a low-level agent in real time, the deviation between a local optimization target and a global target is effectively reduced, the problem of multi-agent target splitting is solved, and the multi-target collaborative optimization capability is improved.

The utility model relates to a laser-assisted rolling work station which comprises a rolling work head, a laser work head, an adjustable support, an intelligent robot, a robot control cabinet, a main control cabinet, a laser device, a cooling system and a control screen. The laser working head is in adjustable mechanical connection with the rolling working head through an adjustable support and used for achieving laser auxiliary heating in the workpiece rolling process, and the rolling working head is mechanically connected with a mechanical arm of the intelligent robot. The laser working head, the robot control cabinet, the laser, the cooling system and the control screen are all electrically connected with the main control cabinet, and the intelligent robot is electrically connected with the main control cabinet through the robot control cabinet; the cooling system is connected with the laser through a liquid cooling pipe; the laser is electrically connected with the laser working head through an optical fiber; the laser-assisted heating device realizes laser-assisted heating in the rolling process, improves the rolling quality, is particularly suitable for rolling forming of high-strength and ultra-high-strength plates, and is high in safety and intelligent degree.

The invention discloses an intelligent production line energy consumption optimization decision-making system based on digital twinning, and the system comprises a physical sensing layer which is used for collecting the production line data of a physical production line in real time; the data fusion layer is used for performing treatment and feature extraction on the collected production line data and outputting structured data; the model construction layer is used for constructing and updating a digital twinborn model and an energy consumption model based on the structured data; the optimization decision-making layer is used for constructing a multi-objective optimization function according to the production takt time, the load fluctuation among the workstations, the adjustment cost and the total production energy consumption, and based on the simulation result of the digital twin model, the optimization decision-making layer is established by taking the production takt time, the minimization of the load fluctuation among the workstations, the minimization of the adjustment cost and the minimization of the total production energy consumption as optimization objectives; solving by adopting a multi-objective optimization algorithm, and outputting a Pareto solution set comprising a plurality of non-dominated solutions; and the application execution layer is used for receiving the optimization scheme selected from the Pareto solution set.

The invention relates to the technical field of production management, and discloses a material data change management method, device and equipment and a medium which are applied to a manufacturing execution system.The method comprises the steps that planned order material data of a current vehicle is acquired; based on the planned order material data, determining a material use quantity required by production of each station, and eliminating missing material data to generate processed material data; comparing the plan order material data with the processed material data to generate a loading difference list according to a comparison result; and updating the planned order material data according to the loading difference list to obtain target order material data. According to the technical scheme provided by the invention, accurate material breakpoint control can be realized, so that material change, trial assembly and production plans are kept consistent.

The system brings together patient data both clinical records and imaging studies from disparate sources to the user workstation or mobile device in real-time and on-demand. In order to do so, the system needs to establish application layer connectivity utilizing HL7 or FHIR and DICOM for imaging. Once a secure connection is established, the system is able to search and retrieve records and present it to end user.

The invention discloses an automatic satellite assembly workstation and method, and the workstation comprises an assembly station which comprises two displacement devices and a positioning platform; the first bracket is matched with the limiting clamping assembly in the positioning space; the material carrying assembly comprises a first manipulator, a material area and a clamp library; the material area comprises a cabin plate material frame and a part material frame; the multi-stage part clamp comprises a primary clamp and a secondary clamp, the primary clamp is connected with the execution tail end of the first manipulator through a primary quick-change mechanism, the adjustable cabin plate clamp is connected with the execution tail end of the first manipulator through a primary quick-change mechanism, and the secondary clamp is connected with the primary clamp through a secondary quick-change mechanism; the adjustable cabin plate clamp comprises positioning clamping pieces, the positioning clamping pieces are arranged to act in the opposite directions and execute the clamping action, the active adjusting module comprises a positioning adjusting seat for bearing the positioning clamping pieces, and the positioning adjusting seat is connected with an active linear module so as to drive the parallel distance between the positioning clamping pieces.