53 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 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 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.

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 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 invention discloses an intelligent warehouse storage and transfer scheduling system and an application method thereof, and relates to the technical field of intelligent warehouse logistics, the system comprises a server module, a handheld terminal module and an express access module, the server module dynamically allocates the number of storage bits through a machine learning time sequence prediction model based on real-time requirements and historical use data; the handheld terminal module visually displays the real-time available space of the access box through a color coding map and automatically generates an optimal delivery path; the express access module creates an independent virtual storage space for the cooperative express company through the virtual resource unit, and the application method comprises the steps of real-time data collection, demand peak prediction, virtual quota adjustment, visual guide interface generation and diversion suggestion triggering. Intelligent dynamic scheduling, fair and elastic distribution, convenient operation guidance and congestion early warning optimization of storage bit resources are realized, and the storage transfer efficiency and the system adaptability are remarkably improved.

Smart labels, methods of operating smart labels, and related contexts in which such smart labels can be used are disclosed. The smart labels, which are used in conjunction with consumer product packaging, include an energy harvester for capturing ambient energy to provide a source of electrical energy, and an electronic circuit powered by the electrical energy. A fuse provides an electrical connection between the energy harvester and the electronic circuit, and destruction of the fuse permanently disconnects the energy harvester from the electronic circuit. Unwanted continued operation of the electronic circuit powered by the energy harvester, which can be an undesirable heat source when the consumer product packaging is discarded or recycled, for example, can thus be prevented. A network of connected smart labels and smart bins that can read the smart labels can also be used to facilitate consumer recycling of consumer product packaging.

The invention provides an intelligent storage picking optimization method and system and application, and relates to the technical field of intelligent storage logistics. The method comprises the steps of obtaining scheduling information of a movable goods storage shelf carrying goods in a goods picking area of the intelligent warehouse; matching a sorting task corresponding to at least one logistics list according to the scheduling information; the sorting task is executed, and after sorting is completed, the sorted goods are placed in a goods sorting basket; the picking basket is provided with a unique label; and the labels on the picking baskets are scanned, and the labels and the logistics lists are subjected to postposition matching. According to the invention, the goods picking basket is not configured in advance according to the goods picking information on the logistics list, but the logistics list is randomly selected to execute the goods picking task according to the goods condition on the goods storage shelf which is currently placed in the goods picking area, so that the goods picking mode is more flexible.

The utility model provides an intelligent storage manipulator for flexible copper-clad plates, which comprises a base, a mechanical arm component and a mounting seat which is positioned on the base and is used for mounting the mechanical arm component, and a universal grabbing head component is mounted at the tail end of the mechanical arm component. The universal grabbing head assembly comprises a universal rotating head connected with the mechanical arm assembly, a base plate connected to the lower portion of the universal rotating head, an adsorption structure arranged on the base plate and used for adsorbing copper-clad plate packages, and a grabbing structure used for grabbing a large metal tray. The mechanical arm assembly is provided with a driving assembly used for driving the mechanical arm assembly to act and driving the universal rotating head to rotate. The intelligent storage manipulator for the flexible copper-clad plates is simple in structure and high in intelligence, carton deformation or damage is not prone to being caused when the intelligent storage manipulator is used, and the finished product quality of the flexible copper-clad plates can be well guaranteed.

The application relates to the technical field of intelligent warehousing, and specifically discloses a kind of plate material warehouse intelligent warehousing method, the method comprises: the position of travelling crane is acquired in real time through Gray bus system, warehouse management system and nesting system are combined, three-dimensional yard model is constructed, the extensive mode of first-in first-out or random stacking is fundamentally changed by combining intelligent stacking and plate turning risk prediction model, the model quantifies the nonlinear influence of storage time and call frequency on plate turning risk through mathematical formula, that is, the future call demand of each incoming warehouse plate is predicted, and the stacking position is allocated according to the call demand, so as to reduce the plate turning frequency in the future, then the plate turning minimization problem is converted into a solvable integer programming model based on the optimal delivery sequence formula, so that the system can quickly give a global optimal solution when facing complex delivery demand of multiple batches, multiple stacks and multiple levels, thereby improving the plate call efficiency.

According to the intelligent storage integrated management system provided by the invention, warehouse-in, warehouse-out and inventory data are uniformly acquired through the data processing module, decision-making deviation caused by data splitting of each algorithm unit is avoided, each unit in the algorithm decision-making module works cooperatively, and particularly, the inventory distribution unit calls predicted data of the shelf popularity analysis unit to correct a sorting scheme, so that the sorting efficiency is improved. The method does not depend on orders and real-time inventory any more, high-heat short-distance goods shelves can be preferentially selected, and carrying time consumption is reduced; the algorithm units are linked around the whole process, for example, warehouse position recommendation provides reasonable layout for order group wave and inventory distribution, and local optimization loss is avoided. And the instruction execution module controls the equipment according to the cooperative instruction, so that action conflicts are avoided, and the defect that a warehouse management system in the prior art cannot realize a full-process intelligent cooperative effect is overcome.