10038results about "Storage devices" patented technology

The invention discloses a circulating type gravity energy storage transportation system which comprises a master controller, an annular rail, a high-position storage yard and a low-position storage yard, a transportation train is composed of a plurality of carriages which are flexibly connected and arranged on the annular rail, a low-position running rail is arranged on the annular rail, the high-position running rail is provided with a linear loading and unloading section, and the low-position running rail is provided with a linear loading and unloading section. A plurality of grabbing parts are arranged on the high-position storage yard and the low-position storage yard and move back and forth between the loading and unloading section and the stacking area, and the hoisting device is electrically connected with the master controller. By means of the double-circulation design of train circulation operation and heavy block rapid loading and unloading, the core pain points that an existing gravity energy storage system is not coherent in operation and low in efficiency are effectively solved, and the energy storage efficiency is improved. And a reliable system solution is provided for realizing large-scale, high-efficiency and fast-response gravity energy storage commercialized application.

An AI-based inventory optimization system implemented as a device for pharmaceutical supply chains. The system includes: a structural frame defining a plurality of modular storage compartments, each compartment equipped with robotic racks mounted on motorized drive assemblies, the drive assemblies configured to translate drug containers along three-dimensionally guided rails; an array of environmental sensors arranged in the compartments, the sensors comprising temperature sensors, humidity sensors, and vibration sensors, each sensor electrically connected to an edge processing module housed in the frame, the edge processing module configured to pre-process sensor data using convolutional neural network models to detect deviations in cold chain compliance; a central processing unit comprising at least one GPU or neural processing accelerator, the central processing unit executing a recurrent neural network-based demand forecasting engine and a reinforcement learning agent-based optimization engine, the processing unit generating control signals for redistribution policies that minimize predicted shortages, waste, and regulatory violations; a conveyor-driven dispensing unit operatively connected to the actuator units, the dispensing unit comprising belt actuators, RFID tag readers, and load sensors, and configured to redistribute goods between compartments or to external dispensing points; a communications gateway that supports both 5G and LPWAN connectivity protocols for real-time synchronization with distributed supply chain nodes and cloud servers; and A blockchain-integrated cryptographic module embedded in the central processing unit, configured to digitally sign and record every inventory movement, environmental condition, and redistribution command in a distributed ledger, thus ensuring immutable traceability of the drug inventory.

The invention discloses a high-precision laser positioning unpacking path planning system, and belongs to the technical field of robot automatic control and industrial automation. The system comprises a data synchronization module used for multi-sensor hardware synchronization and data alignment; the high-precision positioning module is used for outputting a precise pose based on environment skeleton characteristics and sliding window optimization; the semantic map construction module is used for fusing vision and laser data to generate a dynamic semantic grid map; the global path planning module is used for planning a smooth path in the skeleton channel by utilizing a mixed potential field improved A * algorithm; the motion control module is used for realizing closed-loop motion control and safety monitoring through model prediction and tracking; and the operation execution module is used for finishing millimeter-level precise stopping of an operation point by adopting visual servo and triggering unpacking operation. According to the method, the positioning robustness under dynamic shielding is improved through the environmental skeleton features, the safety and the high efficiency of the path are ensured by utilizing semantic understanding and intelligent planning, and the full-process automation from navigation to precise operation is realized.

The invention discloses a material weighing and conveying control method and system, and relates to the technical field of self-adaptive control systems. The method comprises the following steps: setting a visual positioning identifier in an unloading area, and configuring an identification code for a material; establishing an information management database, associating the identification codes of the materials with material attributes, and generating a material association attribute table; collecting an identification code of the material, and calling a material association attribute table based on the identification code; and based on the information management database, obtaining a production line state table of each production line and a warehouse state table of the current warehouse, generating a candidate transportation list, determining a comprehensive priority score of each candidate transportation target point, and selecting the candidate transportation target point with the highest score as a final transportation target point. Compared with the prior art in which fixed rules are used for scheduling, the material transportation targets can be dynamically distributed according to real-time production requirements, manual intervention is avoided, the logistics efficiency is improved, high-requirement materials are preferentially distributed, and production interruption caused by material shortage is prevented.

The invention discloses an automatic stacking method and device, a terminal and a storage medium, and the method comprises the steps that package information of a to-be-stacked package is obtained according to an acquisition device, and an optimal stack type is matched for the to-be-stacked package in combination with historical stack type data of an automatic stacking system; carrying out point cloud segmentation on the tray with the stacked parcels through a preset segmentation model to obtain a segmentation result, calculating a tray gap in combination with the optimal stack type and a preset path planning algorithm, and generating a stacking path; the flexible clamping jaw device is controlled to grab the parcels to be stacked, the grabbing posture is corrected in real time in combination with feedback of the torque sensor, and the mechanical arm is controlled to execute stacking according to the stacking path; and when the segmentation result of the tray is matched with the optimal stack type, a stacking three-dimensional model is generated, the stacking three-dimensional model is bound with the AGV below the tray, and the AGV is controlled to be automatically put in storage. According to the method, stacking and warehousing are completed through stack type matching and path planning, and the adaptability and the space utilization rate of a stacking system are improved.

System for packing and sorting comprises: a server comprising a memory, a processor, and a sortation engine, an automated packaging device, and a packaging sorting system. The automated packaging device is configured to: receive one or more sorted articles through an opening of a repository of the automated packaging device, and seal the repository to form a package. The package sorting system configured to: direct a package computer controlled vehicle to move to a receiving position about the automated packaging device for receiving the package from the automated packaging device, and direct the package computer controlled vehicle to transport and deposit the received package into a package receptacle.

A transport robot may include a body, a lifting assembly arranged on the body, and a first climbing assembly arranged on the lifting assembly and located on only one side of the body in a horizontal direction. The lifting assembly is configured to drive the first climbing assembly to ascend or descend. The first climbing assembly is configured to be docked with a second climbing assembly of a rack after being driven to ascend, and to climb along the second climbing assembly in a vertical direction.

The invention provides an intelligent warehouse goods posture recognition and automatic sorting method and system, and the method comprises the steps: S2, extracting the edge contour and surface features of goods from point cloud data for a preliminary value set, calculating the direction vector and shape distribution characteristics of the goods through a principal component analysis method, and obtaining a quantitative result of shape feature extraction; s6, historical sorting data and real-time sensor data are extracted from the warehousing system database according to the classification basis adapted to the complex scene, the dynamic posture change trend of the goods is predicted through a time sequence analysis method, and optimization parameters of real-time processing are obtained; and S7, the movement track and the grabbing angle of the sorting mechanical arm are adjusted through the optimization parameters subjected to real-time processing, a deep reinforcement learning algorithm is adopted to conduct iterative optimization on the sorting action sequence, and an execution scheme of sorting accuracy is determined. According to the method, the accuracy of goods posture recognition and the automatic sorting efficiency in the complex storage environment are remarkably improved.

A storage assembly having a substantially parallelepipedal first storage rack and a second substantially parallelepipedal storage rack, a front transverse face of the first storage rack and a second rear transverse face of the second storage rack being connected to each other by at least one horizontal bracing structure.

The present application relates to a transport robot and a shelf-based warehousing system. The transport robot comprises a main vehicle and a goods carrying platform; the goods carrying platform is connected to one end of each of multiple lifting / lowering belts, and the other ends of the lifting / lowering belts are connected to a lifting / lowering driving mechanism on the main vehicle; the main vehicle drives, by means of the lifting / lowering driving mechanism, the goods carrying platform to ascend and descend; the main vehicle is provided with a locomotion mechanism which is configured to be matched with travel rails arranged on shelfs in a first direction, and the first direction is parallel to the extension direction of an aisle; an extendable / retractable goods pick and place structure is arranged on the goods carrying platform and is configured to laterally pick goods stored on and place goods to be stored on a shelf. The transport robot and the shelf-based warehousing system in the present application have high pick and place efficiency and flexibility.

Automated mobile sortation and delivery systems may include a track or rail system positioned within a cargo area of a vehicle, a plurality of carrier robots that move along the track system, and a plurality of package or item racks that are engaged and moved by the carrier robots. The carrier robots may load and unload package racks relative to the cargo area, may sort or shuffle the package racks among a plurality of positions, and may position or place package racks at an access position to enable access to packages loaded within the package racks by associates for delivery. The automated mobile sortation and delivery systems may facilitate faster, more reliable, and more efficient delivery of packages using automated and highly organized sortation and retrieval processes, thereby reducing the time and effort associated with finding, identifying, and delivering correct packages to delivery destinations according to a delivery route or schedule.

A warehouse system and method for fulfilling orders comprising a plurality of products. As pallets containing cases of individual units are received, they are transported to a specific storage location within a warehouse. There, a picker arm is configured to retrieve individual units from the pallets and place in a tote according to a specified order. The totes are transported through the warehouse to the specific storage locations, then sent to a packing station.

Disclosed are a method for determining an alignment state, a controller, and material handling equipment. A main technical solution includes: acquiring, by using a sensor, a target point cloud of a first stacking object and a target point cloud of a second stacking object; determining, based on the target point cloud of the first stacking object, a first pseudo image corresponding to the first stacking object; determining, based on the target point cloud of the second stacking object, a second pseudo image corresponding to the second stacking object; determining relative pose data between the first stacking object and the second stacking object based on the first pseudo image and the second pseudo image; and comparing the relative pose data with a threshold to determine an alignment state between the first stacking object and the second stacking object.

The embodiment of the utility model provides a warehousing system, which comprises a first carrier, a second carrier, a third carrier and a fourth carrier, the second carrier is adjacent to the first carrier and is provided with a buffer storage position, and the buffer storage position is configured to buffer the order container; the taking and placing device is located on one side of the first carrier and the second carrier and can move relative to the first carrier and the second carrier; the pick-and-place device comprises a pick-and-place mechanism which is configured to be in butt joint with the storage positions so as to pick and place stock containers; the sorting mechanism is configured to sort out the order goods in the inventory container and deliver the order goods to the order container located on the second carrier, and the transfer robot is configured to move out the order container with the order goods.

The embodiment of the invention relates to the technical field of ultrahigh frequency passive RFID, in particular to an intelligent storage RFID robot reading perception and trajectory optimization method and system. According to the method, the position coordinates of the goods shelf are obtained by building the model and utilizing the label characteristic values, the interaction state of the UHF RFID robot and the goods shelf can be sensed, the distribution state of the goods is further sensed, and the number and the position of the missed goods are estimated. Furthermore, the advancing track of the UHF RFID robot system in the warehouse management scene is designed and optimized according to the sensing result, so that the reading accuracy and the checking efficiency of the mobile RFID system are improved.

An autonomous guided vehicle includes a frame, a drive section, a payload handler, a sensor system, and a supplemental sensor system. The sensor system has electro-magnetic sensors, each responsive to interaction or interface of a sensor emitted or generated electro-magnetic beam or field with a physical characteristic, the electro-magnetic beam or field being disturbed by interaction or interface with the physical characteristic, and which disturbance is detected by and effects sensing of the physical characteristic. The sensor system generates sensor data embodying at least one of a vehicle navigation pose or location information and payload pose or location information. The supplemental sensor system supplements the sensor system, and is, at least in part, a vision system with cameras disposed to capture image data informing the at least one of a vehicle navigation pose or location and payload pose or location supplement to the information of the sensor system.

The invention relates to the technical field of robots, in particular to a complicated scene-oriented intelligent robot perception decision-making method and system. The method comprises the following steps: acquiring multi-modal environment sensing data; generating a warehouse point cloud map based on the multi-modal sensing data; marking shelf positions by using a warehouse point cloud map; when the intelligent robot with the body is driven to advance to the goods shelf position, goods posture information is collected, and goods surface features are recognized; cargo grabbing points are selected based on cargo surface features, and the grabbing posture of a mechanical arm is planned; a grabbing track is generated according to the grabbing posture of the mechanical arm; executing cargo grabbing simulation according to the grabbing track, and calculating a cargo slipping risk; and when the goods sliding risk is higher than a preset risk threshold value, the grabbing posture of the mechanical arm is adjusted, and mechanical arm grabbing optimization data is generated. According to the method, the success rate and the execution efficiency of the grabbing and placing tasks of the intelligent robot with the body in a complex scene are improved based on the robot technology.

The invention relates to the technical field of textile fabric storage, and discloses a textile fabric storage rack for an automatic stereoscopic warehouse, which comprises an electric sliding rail, a rack body is arranged at the rear part of the electric sliding rail, a transmission mechanism is arranged at the left part of the rack body, and a storage rack is arranged on the outer wall of a bearing column. The transmission mechanism comprises an electric base, a sliding frame, a first screw rod, an electric conveying column, a transmission wheel, an isolation frame, a buffer plate and an output shaft, the electric base is slidably connected to the top of an electric sliding rail, and the sliding frame is fixedly connected to the top of the electric base. And a transmission rack is in engaged transmission with a fourth spiral rod through a bevel gear set in the moving process, so that a clamping plate is driven to move under limiting of a conveying plate, the clamping plate clamps and fixes objects on the top of the goods moving frame in the moving process, and the situation that the objects fall off when the goods moving frame moves in the conveying process is avoided.

According to the library book sorting device and the control method thereof, when books are taken out, the tops of the books are pulled out to be inclined through a book pulling device, then the books are clamped from the two sides through a book clamping device to be completely taken out, and when the books are pulled out, a control system controls the cut-off position of a cut-off distribution device on a magnetorheological fluid storage sleeve according to the thickness of the books; the flow of the magnetorheological fluid entering the book raking sleeve is adjusted, then the size of the book raking sleeve and the contact area of the book raking sleeve and the book are adjusted, meanwhile, the electrifying strength of the electromagnet is controlled, then the hardness of the magnetorheological fluid in the book raking sleeve is adjusted till the book raking sleeve can be completely attached to the book, and the book raking sleeve can be suitable for raking the thick and heavy book and can also be used for raking the book. And no extrusion stress is generated on the books, so that the books are prevented from being extruded, deformed or scratched and abraded, and nondestructive book taking and sorting are realized.

The invention relates to the technical field of intelligent storage equipment, in particular to an automatic storage shelf which comprises a rail guided vehicle arranged on the ground, and a vertical elevator is vertically arranged at the output end of the rail guided vehicle; the vertical goods shelf is formed by transversely and longitudinally stacking a plurality of goods shelf grids; a goods width matching support device is arranged on the vertical elevator; the cargo width matching supporting device comprises a butt joint assembly arranged at the output end of the vertical elevator, and a driving assembly is arranged in the middle of the butt joint assembly. Two first matching assemblies are symmetrically arranged on the two sides of the butt joint assembly. The two ends of the bottom of each goods shelf grid are each provided with a second matching assembly. Before the goods are placed on the goods shelf, the distance between the goods shelf supporting components is automatically adjusted according to the width of the current goods so as to adapt to placement of the goods of different sizes, independent driving components do not need to be arranged on the goods shelf, and then the effects of saving the storage cost and utilizing storage resources to the maximum degree are achieved.

The utility model belongs to the field of disc stacking machines, and provides a stock bin type disc stacking machine which comprises a machine frame, a conveying belt, a feeding device and a discharging device. The grabbing mechanism is arranged on the rack and located above the conveying belt, the movable end of the grabbing mechanism is connected with a clamping jaw and a magnetic attraction block which are arranged in a height difference mode, and the grabbing mechanism can drive the clamping jaw and the magnetic attraction block to turn over and change positions. Compared with the prior art, the device has the advantages that by using the clamping jaw and the magnetic attraction block which are arranged in a height difference mode, workpieces of various shapes and sizes can be rapidly and accurately processed, the operation flexibility of the device is greatly improved, and the application range of the device is greatly widened; and meanwhile, by means of coordinated operation among the feeding area, the stacking area and the conveying mechanism, the full-automatic process from workpiece machining to finished product stacking is achieved, the requirement for manual intervention is reduced, the labor cost is reduced, the overall efficiency of a production line is remarkably improved, and meanwhile the workpiece quality is guaranteed.

A safety apparatus for a lifting machine platform and a three-dimensional goods shelf, said apparatus comprising a blocking assembly (100) that is located at the connection point between a lifting machine platform (10) and a three-dimensional goods shelf (30), a guide assembly (200), and a rotary bracket (300). The blocking assembly is rotatably arranged and is provided with a small blocking end (100a) and a large counterweight end (100b) which switch between high and low positions by means of rotation. When no external force is applied to the blocking assembly, under the action of gravity provided by the large counterweight end, the small blocking end is located at the high position in an upward orientation, so as to create blockage to a shuttle vehicle (40) in a direction of movement of the shuttle vehicle. The guide assembly and the blocking assembly are arranged to fit by means of offset collision in a direction of lifting, and in an offset collision state, the guide assembly collides with the large counterweight end, such that the blocking assembly rotates to switch the high and low positions of the small blocking end and the large counterweight end, and the small blocking end rotates to the low position to clear blockage to the shuttle vehicle. The described safety apparatus can effectively prevent losses such as falling of the shuttle vehicle caused by various uncertain factors in smart warehousing, thus reducing the fault rate and improving the working efficiency of three-dimensional warehousing.

A grid framework structure includes a first set of parallel rails or tracks and a second set of parallel rails or tracks extending substantially perpendicularly to the first set of rails or tracks in a substantially horizontal plane to form a grid pattern. The grid is supported by a set of uprights to form a plurality of vertical storage locations beneath the grid for containers to be stacked between and be guided by the uprights in a vertical direction. A load handling device includes a body mounted on a first set of wheels and a second set of wheels arranged to engage with the tracks. A gripper assembly is provided for latching to a storage container via a deformable flexure mechanism movable between a locked configuration and a release configuration.

The invention provides a sorting and warehousing connection cabinet system based on unmanned aerial vehicle and AGV distribution. The connection cabinet system is provided with a cabinet body, and the cabinet body is provided with a monitoring system used for monitoring the surrounding situation of the cabinet body; an unmanned aerial vehicle goods taking area is arranged on the upper portion of the cabinet body, an AGV goods taking area and a manual goods taking area are arranged on the two sides of the cabinet body, a display screen is arranged above the manual goods taking area, and a storage box at the specific position of manual goods taking is determined by scanning a two-dimensional code on the display screen. According to the invention, multi-mode cooperative delivery is realized, unmanned aerial vehicles, AGVs and manual goods taking are integrated, the requirements of complex scenes are met, and the delivery flexibility is improved. According to the sorting storage connection cabinet system, the unmanned aerial vehicle top cabin, the AGV bottom cabin and the manual goods taking area are integrated, and three-mode cooperative distribution is achieved.

An autonomous warehouse robotics system integrates a multi-sensor platform, adaptive payload handling, dynamic task reallocation, advanced navigation, energy management, and comprehensive safety features into one mobile robot chassis. The system utilizes LiDAR, stereo vision, ultrasonic sensors, mmWave radar, thermal cameras, and event cameras to perform complete environmental sensing and obstacle detection. Sensor fusion combines adaptive weighting, multi-modal data integration, and statistical filtering to create high-confidence maps for reactive path planning and collision avoidance. The robot's payload system features machine vision for item recognition, telescopic lifts, variable-width grippers, and real-time toolhead verification to handle a variety of goods. Fleet management is achieved through dynamic task reallocation that considers robot location, battery level, and operational delays, all coordinated by a cross-platform middleware architecture that ensures standardized communication, remote monitoring, and over-the-air updates among diverse robot brands. Energy management optimizes power usage via predictive routing, autonomous return-to-charge, and auction-based scheduling. Safety is maintained through proximity detection, behavior-based intervention, and human-robot cohabitation protocols while advanced localization is enhanced by fusing ultra-wideband positioning with visual landmark alignment, inertial sensing, and machine learning to deliver high accuracy in non-line-of-sight conditions. An onboard edge AI module further refines navigation and task prioritization through neural network inference, ensuring robust, adaptive operation in dynamic, unstructured warehouse environments.

The utility model relates to the technical field of storage carrying, in particular to an integrated loading, unloading and carrying device matched with a storage shelf. Comprising a goods shelf, a U-shaped frame, a second rectangular frame, a belt conveyor and a plane driving mechanism. The plane driving mechanism comprises an installation frame installed on the side portion of the goods shelf, a sliding cross beam installed on the installation frame in a sliding mode and a first rectangular frame installed on the sliding cross beam in a sliding mode. The U-shaped frame is slidably mounted at the upper end of the first rectangular frame; a first clamping mechanism is mounted on the U-shaped frame; the second rectangular frame is positioned below the first rectangular frame; a second clamping mechanism is mounted on the second rectangular frame; the belt conveyor is located on one side of the bottom of the goods shelf. According to the technical scheme, goods placed on the goods shelf can be taken out and fed, the next goods can be taken out synchronously in the taking and feeding process, and therefore the goods taking work efficiency is improved.

The invention provides a safety risk control method for geological storage of carbon dioxide and electronic equipment. A distributed optical fiber sensing system is arranged in at least one injection well of the target sealing and storage area in the axial direction of a shaft and penetrates through a main cover layer and a reservoir; the method comprises the following steps: acquiring background data through a distributed optical fiber sensing system, and establishing a multi-parameter baseline model including a temperature field, a strain field and background noise; temperature, strain and sound wave vibration signals are collected in real time, and key features are extracted; the key features extracted in real time are compared with a preset risk feature library, the types of risk events are identified, and the identified risk events are graded according to the spatial range and intensity of the abnormal signals; and according to the type and the grade of the risk event, generating and executing a corresponding control instruction. According to the embodiment of the invention, the optical fibers are distributed in the whole area along the shaft and the target stratum, a three-dimensional monitoring network covering the sealing body is constructed, and the hysteresis quality of traditional point type measurement and periodic exploration is overcome.

The invention discloses a warehouse cargo management method and device, equipment, a medium and a program product. The method comprises the following steps: generating a checking path according to the position of a to-be-checked target shelf in a warehouse checking task; aGV equipment is controlled to run to the position of the target goods shelf according to the checking path; identifying the label information of the first label of the target goods shelf through an RFID checking device, and querying the layer height of each goods shelf layer plate of the target goods shelf according to a preset mapping relationship between the label information and the goods shelf information; a lifting control instruction is generated according to the layer height of the goods shelf layer plates, so that a lifting device on the AGV equipment is controlled to lift the RFID checking device to each goods shelf layer plate; and identifying the label information of the second label corresponding to the goods on the goods shelf laminate through the RFID checking device. According to the invention, the method can meet the requirements of goods checking of multiple layers of goods shelves in a warehouse, and improves the storage and logistics management efficiency.