18693results about "Storage devices" patented technology

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 relates to the technical field of logistics transportation, in particular to a cargo logistics monitoring management system and method based on the Internet of Things. The method comprises the following steps: acquiring temperature distribution data and micro-deformation data of the surface of the hazardous article container; performing non-contact inversion processing on the internal state of the container according to the temperature distribution data and the micro-deformation data based on a thermodynamic equilibrium principle to obtain dangerous article state characteristic data; acquiring gas spectrum array data through spectrum gas sensors at four corners of the carriage; and according to the dangerous article state characteristic data and the gas spectrum array data, performing three-dimensional positioning processing based on fluid mechanics diffusion science on the leakage source position to obtain leakage risk distribution data. According to the invention, the position of the gas leakage source can be accurately positioned in a three-dimensional manner through the spectrum gas sensors at the four corners of the carriage and the fluid mechanics diffusion model, and rapid tracking and risk assessment of the leakage source are realized through the gas spectrum array data.

The invention discloses a logistics storage intelligent suspension conveying system and a using method thereof, and relates to the technical field of conveying equipment.The logistics storage intelligent suspension conveying system comprises a supporting frame, a protection frame, a conveying mechanism, a guiding mechanism and a suspension locking mechanism, a suspension guide rail is fixedly installed at the top end of the supporting frame, and the protection frame is fixedly installed outside the suspension guide rail; the conveying mechanism is arranged in the protection frame, the guiding mechanism is arranged outside the supporting frame, and the suspension locking mechanism is connected with the conveying mechanism. By means of the arrangement mode that the conveying mechanism, the guiding mechanism and the suspension locking mechanism are matched, the suspension locking mechanism can be driven by the conveying mechanism to move under guiding of the guiding mechanism, so that objects are conveyed, the guiding mechanism can adjust the feeding and discharging positions of the goods, and the conveying efficiency is improved. The flexibility and adaptability in the logistics storage process are improved, the feeding and discharging positions can be accurately adjusted according to the characteristics and requirements of different goods, and the efficiency and accuracy of logistics operation are effectively improved.

The invention relates to the technical field of path planning, and discloses a carton stacking path planning method and system based on artificial intelligence and a medium. The method comprises the steps that heterogeneous carton images are collected through a multi-angle camera and fused to generate a digital twinborn model; the analysis model predicts mechanical characteristics of the carton; optimizing an interlayer occlusion relation to form a stacking blueprint; planning an avoidance path to generate an execution instruction; monitoring deviation and establishing an abnormal scheme library; and evaluating an optimized path strategy in combination with cargo flow characteristics. According to the method, adaptive stacking strategies are provided for different cargo flow scenes, so that the space utilization rate, the structural stability and the operation efficiency of stacking are improved.

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.

The invention relates to the field of industrial automation, in particular to a multi-camera vision stacking pose planning method and system for an intelligent loading and unloading robot. The method comprises the following steps: constructing a collaborative sensing system through a plurality of industrial cameras deployed in a target space, and collecting dynamic environment data of a stacking area in real time; generating a self-adaptive stacking pose based on a hierarchical pose planning mechanism: analyzing an initial pose parameter through a theme control layer and generating a preliminary placement instruction, and verifying the feasibility of the preliminary placement instruction based on environmental data of the collaborative awareness system through a visual verification layer, and a final placement coordinate is optimized by combining the accurate positioning layer with a virtual box matching algorithm. The problems that in the prior art, real-time environment sensing capacity is lacked, pose planning is disjointed with the actual environment, and dynamic change scenes cannot be processed are solved.

A method of determining a kinematic state of a load handling device in a storage system. Wheel state data, representative of a state of a wheel of the load handling device, from one or more sensors communicatively coupled to the wheel is obtained. A creep value for the load handling device is determined based on the wheel state data and using a trained model. The kinematic state of the load handling device is determined based on the creep value and kinematic data, representative of the kinematic state of the load handling device, is outputted. A positioning system to employ the method for the load handling device is also provided.

The invention discloses a goaf CO2 sealed storage warehouse construction and grouting filling fire preventing and extinguishing method, and belongs to the technical field of goaf filling. The goaf CO2 sealed storage depot comprises a CO2 storage depot unit, a solid waste filling column and inflation-grouting equipment, an inflation bag is arranged in the CO2 storage depot unit, the inflation bag is movably connected in the CO2 storage depot unit, the CO2 sealed storage depot is constructed in the goaf through the inflation bag, alkaline solid waste and mineralized slurry, and the storage depot is used for supporting a roof rock stratum and storing CO2. Large-scale recycling of the alkaline solid waste can be achieved through the sealed storage warehouse, the storage warehouse is used for supporting the goaf roof rock stratum and storing CO2, the roof rock stratum is prevented from collapsing and endangering mine production safety, CO2 emission is reduced, the greenhouse effect is improved, and cooperative treatment of goaf fire and CO2 storage is achieved.

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.

Disclosed herein is a component storage device for workpieces which are mounted in stacking columns on or at pawls one above the other or next to one another characterized in that the stacking columns are arranged on a movable trolley. Also disclosed is a system for presenting workpieces with the component storage device characterized in that a coordinate system is assigned to the carriage. Further disclosed is a stacking column for storing workpieces on or at pawls one above the other or next to one another, the pawls being provided in or at a frame characterized in that the frame comprises at least two parts which are connected to one another in an articulated manner.

The present invention relates to the technical field of warehousing control. In particular disclosed are an automatic cargo loading and unloading warehousing control system and a cargo loading and unloading device therefor, the system being provided with a compartment parking information acquisition and processing module, an intelligent cargo conveyance control module, a warehousing management information comprehensive determination module, and a data control library. First, compartment parking information acquisition and preprocessing is performed, and it is determined whether a cargo loading and unloading AGV can be started, and next, a first channel is screened out to convey a goods in a compartment. Hence, a control anomaly value of warehousing management information of an intelligent warehousing control platform is comprehensively calculated, and the warehouse management information is subjected to autonomous early warning control and indication, thus facilitating rapid operations of cargo loading and unloading, and greatly improving the efficiency of warehousing intelligentization. Meanwhile, the labor costs of warehousing operations can be reduced, and the quality and accuracy of cargo processing can also be improved.

The invention discloses an intelligent three-dimensional warehouse storage management method and system, and relates to the technical field of warehouse management, and the method comprises the steps: receiving a task instruction from an upper system through a communication network, and distributing specific execution equipment according to an equipment operation state and real-time inventory data; calculating a logistics path based on the equipment position information, the reservoir area environment data and the task demand, and generating a control instruction to drive the execution equipment to execute operation according to the path; according to the goods attributes and the storage rules, goods allocation distribution is optimized through a dynamic programming algorithm, and goods storage and taking operation is completed; the operation state of execution equipment is collected in real time through a sensor, abnormity is recognized based on collected data, an alarm signal is triggered through an upper system, and meanwhile a task execution strategy is adjusted. According to the intelligent three-dimensional warehouse storage management method provided by the invention, comprehensive monitoring of the equipment health state is realized, abnormity can be found in time, an alarm mechanism can be triggered, and the equipment fault risk is remarkably reduced.

A modular storage system with at least two horizontal robot levels, wherein the robot levels are formed by at least three baseplates, at least eight vertical supports which are perpendicular to the robot levels and support the robot levels, at least one robot on each robot level, which robot can move on the robot level, and, per robot level, at least two container carriers which can be moved by the robot.

The invention discloses a warehouse-in and warehouse-out path planning system and method applied to stored goods, and relates to the technical field of intelligent storage. The method comprises the steps of establishing a three-dimensional space structure of a warehouse, generating a menu to be stored and matching various storage schemes, carrying out importance degree assignment and priority ranking on goods, calculating the residual space and the total weight of the warehouse, judging and optimizing the space and the weight, and planning and optimizing warehouse-in and warehouse-out paths. Through the mathematical planning method, the total cost is minimized, and the space utilization rate and the access efficiency are maximized. And meanwhile, the operation condition in the warehouse is monitored in real time, the in-out path and the in-out path are dynamically adjusted, and congestion and conflicts are avoided. In addition, a high-definition camera and a sensor are further installed, and safety management in the warehouse is ensured. According to the invention, intelligent warehouse-in and warehouse-out path planning of the stored goods is realized, the warehouse management efficiency and the space utilization rate are improved, and safe storage and efficient warehouse-in and warehouse-out of the goods are ensured.

The invention discloses an integrated intelligent welding material warehouse which comprises a storage area and an equipment area, the storage area is provided with multiple layers of goods shelves, and the equipment area is provided with a drying oven, a material taking mechanism, a transferring mechanism, a distribution bin mechanism, a discharging mechanism and a recycling mechanism. The material taking mechanism is used for stretching into the baking oven to take out the trays carrying the materials and placing the trays on the transfer mechanism platform, and then empty trays are taken back from the transfer mechanism platform and placed in the baking oven. The transfer mechanism is used for grabbing and moving the welding rods to a designated distribution bin for feeding; the distribution bin mechanism is used for ejecting the welding rods in the bin body out of the outlet and sliding the welding rods into a hopper of the discharging mechanism. The recycling mechanism is used for recycling the remaining welding rods into the recycling bin. The problem of manual distribution of welding rods in the whole process is solved, automation of the whole process of distribution of welding materials is achieved, welding rod management is improved, and construction quality and operation safety are guaranteed.

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 provides an intelligent tool warehouse management system, which belongs to the field of tool management and comprises a multi-mode sensing module, an intelligent access control module, an edge calculation module, an anomaly analysis module and a visualization module. The multi-mode sensing module realizes identity recognition, real-time positioning and integrity verification of the tool through RFID and UWB dual-mode positioning, visual recognition and sensor fusion technologies; the intelligent access control module is based on dynamic authority control and gravity sensing goods shelves, and tool storing and taking compliance is ensured; the edge computing module adopts localized data processing and low-power-consumption communication, and supports network disconnection disaster recovery; the abnormity analysis module identifies violation operation through an LSTM model and triggers grading alarm; the visualization module displays the tool state and the warehouse thermodynamic diagram in real time based on the digital twinning technology. The problems that traditional warehouse management depends on manpower, efficiency is low and errors are prone to occurring are solved, and high-precision tracking, intelligent early warning and optimal scheduling of the tool in the whole life cycle are achieved.

Described is a system for conveying wet sand. The system includes containers with a slip coating for storing wet sand. Each container includes an outlet formed in a bottom portion to facilitate removal of the wet sand from the container to a hopper. Each hopper has end walls, side walls, and an interior wall extending at an angle from the top to the bottom of the hopper to reduce an area of the outlet. A flow gate over the outlet controls discharge of the wet sand from the hopper onto a conveyor belt of a conveyor system. The hopper also includes a vibration system coupled to its exterior surface for shaking the hopper to assist in releasing sand. A discharge assembly is located at the end of the conveyor system for directing wet sand from the conveyor belt.

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 relates to the technical field of robot control, and provides a logistics robot cooperative control method and system for cargo sorting. The method comprises the steps that a logistics robot in a cargo sorting bin is monitored in real time, and a monitoring block is obtained; predicting a robot fault risk based on the monitoring block, and determining a normal group and an abnormal group; according to a sorting priority rule, unexecuted tasks of the abnormal group are analyzed, and a complementary task sequence is obtained; collecting fixed task information of a normal group to obtain task distribution; optimizing normal group tasks based on task distribution and a complementary task sequence, and establishing an optimization space; performing optimization analysis according to the sorting evaluation model and the collaboration degree calculation network to obtain an optimization result; and performing cooperative control according to an optimization result. According to the method, the technical problems of low sorting efficiency and unreasonable task allocation caused by the fault risk of the logistics robot are solved, and the technical effects of optimizing sorting task allocation through cooperative control and improving the fault-tolerant capability and sorting efficiency of the robot are achieved.

An example system includes a vehicle having a platform, a linear slide configured on the platform, a robotic retrieval system configured on the linear slide, a shelf configured adjacent to the linear slide and a control system that controls a reception of a first item and a second item by the robotic retrieval system and a placement of the first item and the second item, by the robotic retrieval system, on the shelf. A drone can be configured to retrieve the first item or the second item from the robotic retrieval system on the vehicle and deliver the first item or the second item to a destination location. The vehicle can thereby enable delivery of many items without the vehicle stopping or even driving to a specific destination location.

The invention discloses an automatic goods warehousing method and system for intelligent warehousing, and belongs to the technical field of intelligent warehousing. According to the method, dynamic event information such as cargo elevator fault signals and robot position conflict detection data is obtained through a real-time data interface, a dynamic path self-adaptive scheduling mechanism is constructed based on a path planning algorithm, and a standby path set is preset; when a dynamic event is detected, the edge calculation unit is triggered to complete a standby path calculation strategy within a system preset time threshold value, and finally the storage robot is controlled to execute storage work according to a planned path. The system comprises a data sensing module, a path planning module, an edge calculation unit and an execution control module, and the modules cooperate to realize real-time path optimization under a dynamic event. According to the method, the problems of insufficient dynamic scene adaptability and low equipment cooperation efficiency in traditional storage are effectively solved, the storage efficiency is improved, and the energy consumption is reduced.

An automated storage and retrieval system includes an automated storage and retrieval grid and a delivery system. The automated storage and retrieval grid includes a container handling vehicle rail system and a delivery column. The container handling vehicle rail system is for guiding a plurality of container handling vehicles. The delivery column is adapted for transport of a storage container from a container handling vehicle to a delivery port situated at a lower end of the delivery column, and further adapted for transport of a storage container from the delivery port to the container handling vehicle. The storage container is configured to be stored in a stack of storage containers beneath the container handling vehicle rail system. The delivery system includes a remotely operated delivery vehicle, which includes a container carrier adapted to support the storage container. The delivery vehicle is further adapted to transport the storage container between a delivery port and a second location for handling of the storage container by at least one of a robotic operator and a human operator.

This application provides a robot and a warehousing system. The robot is configured to take or place a goods container which includes a robot body and a fork apparatus. The fork apparatus is arranged on the robot body which includes a telescopic mechanism and a goods retrieval mechanism. The telescopic mechanism includes a base plate and a transmission assembly. The goods retrieval mechanism is connected to the transmission assembly to move along a length direction of the base plate under the drive of the transmission assembly. The goods retrieval mechanism includes a rotating unit, a connecting base, and a goods retrieval unit. The goods retrieval unit is arranged on the connecting base. The rotating unit is configured to drive the connecting base to rotate relative to the telescopic mechanism, so that the goods retrieval unit can take or place the goods container in a different direction of the fork apparatus.

A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

The invention relates to an expansion joint (10) for connecting regions of a rail-based grid storage system (50, 50′, 50″; 104, 104′, 104″), the expansion joint (10) comprising: —a first rail element (12) and a second rail element (11), the rail elements (12, 11) being elongate and configured to slide relative to one another in a longitudinal direction in a junction area where they overlap, —the expansion joint (10) having a profiled upper surface that defines one or more tracks (27′, 27″) for supporting container handling vehicles (200, 300, 400), the tracks (27′, 27″) extending from the first rail element (12) through the junction area to the second rail element (11), wherein in the junction area, each rail element (11, 12) provides a portion of the or each track (27′, 27″) of the profiled upper surface so that there is a transition extending along the expansion joint (10) from the first rail element (12) to the second rail element (10) for the or each track (27′, 27″). The invention further relates to an automated storage and retrieval system comprising said expansion joint (10) and a method of connecting regions (50, 50′, 50″; 104, 104′, 104″) of a rail-based grid storage system and / or delivery rail system using one or more of the expansion joints (10)

A container accessing station which has been configured to offer multiple access points where access to each access point may be permitted through an upper working surface of the container accessing station to an underlying container that has been delivered to the access point. The working surface is provided by one or more working surface sections, each working surface section having a common attachment configuration to allow either an access panel or a blanking-off panel to be fitted as part of the container accessing station at any of the multiple access points.