66 results about "Smart bin" patented technology

The invention discloses a high-density warehouse intelligent management system and method and application, and relates to the technical field of intelligent warehouse logistics, the system comprises a dynamic collaborative decision framework, the input end of the dynamic collaborative decision framework is connected with a multi-mode sensing module, and the output end of the dynamic collaborative decision framework is connected with a dynamic game scheduling module and a conflict autonomous resolution module. According to the high-density storage intelligent management system and method and the application, the real-time response capability and the resource utilization rate of the high-density storage system are improved through the dynamic collaborative decision framework and the multi-mode sensing mechanism. Based on an incremental state transition model and a local re-calculation strategy, the system can update equipment capability and environment constraint data in time, and calculation power consumption and response delay caused by traditional global optimization are avoided; through a task-equipment bidirectional matching game algorithm and a hierarchical conflict resolution mechanism, autonomous collaborative scheduling of heterogeneous equipment groups is realized, path cross deadlock and goods shelf scrambling conflicts are effectively reduced, and the system throughput fluctuation rate is reduced.

The invention provides a material management intelligent warehouse space dynamic management method and system. Specifically, the method comprises the following steps: acquiring information of to-be-stored goods and materials and information of remaining shipping spaces; calculating the matching degree between the to-be-stored material and each remaining bin position, the space utilization rate of each remaining bin position and the operation convenience of each remaining bin position; corresponding weights are set for the matching degree, the space utilization rate and the operation convenience respectively, a shipping space scoring function is constructed, and the shipping space scoring function is the sum of the matching degree, the space utilization rate and the operation convenience; and the remaining bins are scored based on the bin scoring function, and the to-be-stored materials are stored in the bin with the highest score. According to the invention, through intelligent management, in combination with data analysis and dynamic optimization, efficient configuration of storage resources is realized.

The invention relates to the technical field of intelligent warehousing systems, and discloses a small intelligent central storage system. Comprising a central three-dimensional warehouse management module, a workbin robot control module, a warehouse management module, an AGV scheduling module and a sliding table control module. The central three-dimensional warehouse management module generates a distribution instruction according to the material attribute and a preset rule; the workbin robot control module receives the instruction and controls a robot to carry a workbin through a dynamic obstacle avoidance algorithm; the warehouse management module generates a warehouse-in and warehouse-out instruction and associates material information; the AGV scheduling module plans an AGV transportation path by using a topological map and an ant colony algorithm; the sliding table control module responds to the operation signal, controls the sliding table and triggers the positioning signal. The system can accurately store and distribute materials, efficiently carry the materials, intelligently dispatch the AGVs and achieve accurate sliding table positioning, the warehouse management efficiency is effectively improved, the cost is reduced, and the cargo safety is guaranteed.

The invention discloses an intelligent storage environment lightweight efficient target detection method based on YOLO11 improvement, and belongs to the technical field of image processing. Aiming at the problems of target shielding, illumination change and limitation of computing resources and storage space on mobile equipment deployment in carton detection in a storage environment, target detection image data is loaded by using a database and is converted into a YOLO format, and a training set and a test set are divided; performance optimization is realized through the following improvements: a multi-dimensional cooperative attention module is introduced before a spatial pyramid pooling module of a backbone network; the neck network is fused with a weighted bidirectional feature pyramid network and a multi-dimensional cooperative attention module, and feature interaction between levels is enhanced; an original large detection head is removed from the detection head, medium and small targets are focused, parameter quantity and background interference are reduced, feature representation is optimized, detection precision and calculation efficiency in a storage scene are balanced, and the method is suitable for real-time detection and efficient operation of a mobile device on cartons in a storage environment.

The invention relates to an SMT production line carrier intelligent storage management system, which is characterized in that an automatic code scanning system adopts an industrial personal computer to carry an industrial camera and identification software, an intelligent incoming material distribution device integrates a modularized conveying line, a pneumatic stopper, a lifting mechanism and an electric forward pushing mechanism, and an automatic stock bin shifting device cooperatively operates with a bidirectional shifting driving mechanism through a stock bin frame. The automatic reverse thrust device adopts a lifting platform linkage bidirectional push rod mechanism. The intelligent control system takes a master control PLC as a core, constructs an industrial Ethernet communication network through a distributed I / O module, and coordinates equipment to work cooperatively. The intelligent warehouse management system establishes a carrier digital twinborn model, and realizes real-time mapping of a solid carrier and a three-dimensional coordinate. The intelligent energy management module is provided with an energy consumption monitoring terminal and a dynamic voltage regulation controller. Compared with the prior art, the system has the advantages that intelligent scheduling, three-dimensional visual management and energy efficiency optimization of carrier storage are realized through multi-module cooperation, and the SMT production line material management efficiency is remarkably improved.

The present application relates to the technical field of intelligent warehousing, and discloses a stacked bin sorting system and method and a sorting robot. The stacked bin sorting system comprises a bin stacking storage area, a bin sorting robot, a warehouse exit conveying apparatus, and a sorting and packing platform; the bin stacking storage area is configured to store bins, and the bins are stacked and placed on the ground; the bin sorting robot is configured to destack and sort out bins waiting for warehouse exit and carry said bins to the warehouse exit conveying apparatus; the bin sorting robot has the function of single-layer temporary storage of the bins and / or stacking of the temporarily stored bins; the warehouse exit conveying apparatus is configured to receive the single-layer or multi-layer stacked bins waiting for warehouse exit carried by the bin sorting robot and to convey said bins to the sorting and packing platform; and when the multi-layer stacked bins waiting for warehouse exit need to be conveyed, the warehouse exit conveying apparatus is provided with a bin destacking device. The present application involves multiple bin pickup and bin storage modes suitable for different bin stacking amount requirements, and the bin sorting robot works in concert with different warehouse exit and warehouse entry apparatuses, thereby improving the conveying efficiency.

The invention relates to the technical field of intelligent warehouse logistics, and discloses an intelligent warehouse logistics sorting system and method, and the system comprises a multi-dimensional data collection module, a global state perception and simulation model construction module, a demand prediction analysis module, a task optimization and resource configuration module, and an execution control and feedback adjustment module. The system realizes dynamic demand prediction, task optimization division and resource adaptation through a distributed sensing network, a three-dimensional simulation model and a deep learning algorithm, and ensures material storage safety in combination with environment adaptive regulation and control. The warehouse sorting efficiency can be improved, the resource allocation is optimized, the environmental adaptability is enhanced, and the method is suitable for modern intelligent warehouse scenes.

This application provides a method, an apparatus, and a system for controlling a mechanical finger, and a device. This application relates to the field of robot technologies and smart warehouse technologies. The method includes: obtaining a mechanical limit interval of the mechanical finger in response to a control instruction; determining a limit position within the mechanical limit interval and an avoidance angle corresponding to the limit position; determining, based on the limit position and the avoidance angle corresponding to the limit position, an opening / closing angle of the mechanical finger; and controlling, based on the opening / closing angle, a reduction motor to drive the mechanical finger to execute an opening action or a closing action.

The invention discloses an intelligent transfer robot with an RFID scanning function, and belongs to the technical field of intelligent warehouse management. An ultrahigh frequency RFID reader is arranged on an intelligent transfer robot, so that the intelligent transfer robot has a function of reading RFID tags on goods, and the ultrahigh frequency RFID reader on each intelligent transfer robot in a sorting scene is prevented from reading RFID tags on goods on other intelligent transfer robots; according to the invention, an antenna scheme is designed, so that the reading direction is limited to be right above the intelligent transfer robot, and meanwhile, a corresponding reading algorithm is provided to solve the misreading problem, so that the logistics sorting system can randomly adjust the positions and the number of goods throwing ports and / or unloading points, other solutions are provided for the congestion problem in the sorting process, and the sorting efficiency is improved. The overall sorting efficiency is improved by more than two times; and the corresponding logistics sorting system can well cope with the conditions of sharp increase and sharp decrease of orders on the premise of reducing the cost.

The invention belongs to the technical field of intelligent warehouse logistics, and relates to a space-time collaborative trajectory planning method based on multi-modal fusion, which comprises the following steps: acquiring robot information and environment information, and inputting the robot information and the environment information into a trained lightweight student model to obtain a predicted trajectory; the training process of the lightweight student model comprises the following steps: acquiring multi-modal training data; the multi-modal training data comprises robot information and environment information; constructing a trajectory planning model, and training the trajectory planning model according to the multi-modal training data to obtain a trained trajectory planning model; training a student model through knowledge distillation according to the trained trajectory planning model to obtain a trained student model; according to the method, multi-modal data is adopted for coding, so that rich information is provided for the model, the model can capture complex dynamic relations and environment changes in a multi-robot system, the distribution scene is comprehensively perceived, and planning errors caused by information loss are avoided.

1. Name of the product in this design: Intelligent Electronic Warehouse. 2. Purpose of this design: for use in intelligent warehousing equipment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The present invention provides an intelligent storage system for automatic loading and unloading, which includes a loading part, a transfer part and a storage part, wherein the loading part includes a plurality of transfer devices and a first conveying device, the transfer part includes a first transfer device and a second transfer device, and the storage part includes a mechanical trolley device and a second conveying device, wherein the mechanical trolley device receives the material tray sent by the first transfer device and moves the material tray to a storage cabinet, and the second transfer device moves the material tray to the transfer part. The present invention has the advantages of being able to clamp multiple material trays at the same time, saving the action stroke of the manipulator, and improving work efficiency.

A reordering system for automatically reordering one or more objects. The reordering system includes at least one storage bin configured for storing the one or more objects and at least one reorder device positioned within the at least one storage bin. The at least one reorder device including a pressure sensor and a control unit operably coupled to the pressure sensor.

The present disclosure relates to an apparatus for the reception and validation of returnable objects and a method for the reception and validation of an object as to be accepted or rejected. The present disclosure relies on the use of a camera module and a light source to extract features of an object such as texture, shape, colour, and appearance, alongside other sensors such as load cell and metal detection to validate if an object should be accepted and passed into a reception chamber to further processing. The present disclosure could be used as part of a reverse vending machine (RVM) or on smart bins which allow the reception of objects meeting certain criteria.

Embodiments of the present disclosure provide a cross-station picking method, device, equipment and storage medium, which are applied to an intelligent warehousing system. The method comprises: determining pre-picked materials and a pre-picking workstation based on a hit bin and a corresponding workstation of a to-be-processed outbound order, the pre-picked materials being used to represent materials in the bin that need to be cross-station picked; determining a sorting robot for carrying the pre-picked materials based on the pre-picking workstation and the pre-picked materials; sending pre-picking information to the bin workstation and sending instruction information to the sorting robot, the instruction information being used to instruct the sorting robot to carry the pre-picked materials from the bin workstation to the pre-picking workstation and put the pre-picked materials. The technical solution of the embodiments of the present disclosure solves the problem of the ineffective circulation of the bin on the conveying line and improves the picking efficiency when picking the bin across the workstations.

The present invention relates to a method and system for the detection of fraud in the form of the removal of a returnable object while it is travelling from a validation area to an acceptance region The method and system rely on the usage of a (single) camera and a light source to estimate the optical flow live from the images taken by the camera and then uses flow vectors to identify if the returnable object has reached the acceptance region or isolation area or it has been removed by a user. The invention could be used as part of a reverse vending machine (RVM) or on smart bins accepting objects, such as containers, matching certain criteria to prevent fraud.

The application relates to the technical field of storage equipment, in particular to an integrated intelligent storage shelf which comprises a shelf main body and a storage unit. The shelf main body is composed of multiple layers of support frames, the storage unit comprises a bearing plate, a sliding assembly, a transmission mechanism and a positioning assembly, the bearing plate is horizontally moved through a driving module, and the sensor assembly and the control module are used to monitor the position and weight information of goods. The bottom of the bearing plate is provided with an antiskid pad, and the outer side wall of the support frame is provided with a reinforcing rib. The application can simplify the mechanical structure, reduce the manufacturing cost, improve the operation convenience, significantly improve the positioning accuracy of goods storage and taking, is suitable for various storage environments, and has high practicability and popularization value.

1. The name of the design product: smart warehouse of film. 2. The use of the design product: for assisting mobile phone film. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The present invention relates to a scheduling method for collaborative operation of multiple intelligent devices in an intelligent warehouse. The executable actions of each intelligent device are disassembled and numbered, and the executable actions are combined according to the actual business process. After obtaining the upper-level task, the corresponding configured business process is called and split into device subtasks according to the devices to which the action numbers belong. The control system continuously sends task requests to the scheduling layer according to the device names it controls, obtains the subtasks, and distributes the subtasks to the devices. After the device executes the subtask, it feeds back the execution result of the subtask to the scheduling layer. If the subtask is completed, it is judged whether there is a next task and the next subtask is opened or the subtask completion operation is marked. Otherwise, the subsequent tasks are marked as abnormal and the execution result of the subtask is reported. The present invention disassembles the device actions for subtask scheduling, and the control system requests whether there is a task to be done according to the device name, which can reduce task loss and facilitate exception location.

The utility model discloses a quick unloading device for intelligent waste storage, which comprises a ground rail laid around the storage, a carrier plate slidably arranged on the ground rail, a sliding component arranged on the carrier plate and the ground rail and used for driving the carrier plate to slide, a vertical column vertically arranged on the carrier plate, a lifting plate slidably arranged on the vertical column, and a lifting mechanism arranged on the lifting plate. A box column is fixedly arranged on the lifting plate in the direction perpendicular to the carrying plate, a material taking and placing assembly used for grabbing and placing waste materials is arranged on the box column, and the lifting plate ascends and descends through a lifting assembly arranged on the stand column. According to the technical scheme, the rapid unloading device for the intelligent waste storage can reduce time-consuming and labor-consuming unloading work of the waste manually, solves the technical problem that the waste cannot be rapidly and efficiently unloaded in the prior art, and has the advantages of being efficient, time-saving and labor-saving.

The invention discloses an intelligent warehouse deployment scheme generation method and device and electronic equipment, and the method comprises the steps: obtaining project basic information which comprises target demand information and target warehouse information; a pre-trained scheme generation model is obtained, the scheme generation model is a generative large model, and the scheme generation model comprises an input layer, an optimization layer and an output layer; the target demand information and the target warehouse information are input into a scheme generation model through an input layer, a target deployment scheme is obtained through processing of an optimization layer, and the target deployment scheme at least comprises goods shelf distribution information and intelligent robot configuration information; and outputting a target deployment scheme through an output layer of the scheme generation model. According to the invention, the intelligent storage deployment scheme generation intelligence and generation efficiency can be improved.

The present invention relates to the technical field of intelligent warehousing systems, and discloses a small intelligent central storage system. It includes a central three-dimensional warehouse management module, a bin robot control module, a warehousing management module, an AGV scheduling module, and a slide table control module. The central three-dimensional warehouse management module generates allocation instructions based on material attributes and preset rules; the bin robot control module receives the instructions and controls the robot to carry bins through a dynamic obstacle avoidance algorithm; the warehousing management module generates inbound and outbound instructions and associates material information; the AGV scheduling module uses a topological map and an ant colony algorithm to plan the AGV transportation path; the slide table control module responds to operation signals, controls the slide table, and triggers positioning signals. This system can accurately store and allocate, efficiently handle materials, intelligently schedule AGVs, and achieve accurate slide table positioning, effectively improving the efficiency of warehousing management, reducing costs, and ensuring the safety of goods.