218 results about "Logistics automation" patented technology

The invention relates to the technical field of intelligent warehousing and logistics automation, in particular to a forklift dynamic path planning method based on deep reinforcement learning, and the method comprises the steps: deploying multi-view vision, geomagnetism and other multi-source sensors, achieving data calibration and fusion through employing an insect compound eye-imitating vision model, and constructing a high-dimensional state space vector; heuristic models such as migrant bird navigation and biological stress response are adopted, deep reinforcement learning is combined, decision instructions are generated from the three aspects of path planning, dynamic obstacle avoidance and energy efficiency management, actions are executed through a control system, and deviation is fed back; a reward function is used for evaluating the decision effect, rewards are formed by weighting path efficiency, obstacle avoidance success and energy consumption penalty, the weight can be updated in a self-adaptive mode, and therefore the deep reinforcement learning model is optimized. According to the method, the accuracy, safety and efficiency of forklift path planning are effectively improved, the method can adapt to complex dynamic environments, and the requirements of intelligent logistics and industrial automation for forklift intelligent operation are met.

The invention discloses an automatic loading method for a truck based on deep learning and stereoscopic vision. The automatic loading method comprises the following steps that S1, goods location pixel coordinates are obtained and converted into an AGV forklift coordinate system; s2, a driving track is calculated, a front station is generated, and the AGV forklift is guided to move; s3, collecting point cloud data, denoising, extracting features by adopting an improved Transform point cloud registration network, calculating three-dimensional feature points of goods locations and trays, and converting coordinates; s4, calculating a rotation adjustment amount and a displacement compensation parameter, optimizing a driving track and correcting a butt joint deviation; s5, adopting a self-adaptive local attention weighting strategy to match the target goods allocation with the tray slot, and correcting the pose; s6, the cargo stacking posture is adjusted, gravity center distribution is optimized, and the AGV forklift is controlled to complete cargo loading; and S7, exiting the loading area along the optimized track, recording data and optimizing a loading strategy. The goods allocation identification precision is improved, the loading path is optimized, manual intervention is reduced, the loading efficiency, stability and adaptability are improved, and the logistics automation level is enhanced.

The invention relates to the technical field of transfer robots, in particular to an intelligent warehouse logistics automatic transfer robot. The robot comprises a scraper and a suction cup which are arranged on a robot body, the scraper is provided with specially-designed groove pressing teeth, an arc-shaped groove with a guiding function can be formed in the surface of a box body, and it is ensured that a frost layer effectively falls off along a preset path through the design. The system collects temperature gradient, surface appearance and contact stress data in real time through the integrated multi-mode environment sensing unit, the intelligent decision-making unit establishes a dynamic control model based on the data, and accurate evaluation and self-adaptive processing of the frost layer state are achieved. The whole system constructs a complete closed-loop control chain, the limitation of a traditional defrosting method is overcome, the adsorption stability is kept, meanwhile, the operation efficiency is improved, the system is particularly suitable for the low-temperature storage environment of-25 DEG C and below, and a reliable solution is provided for cold-chain logistics automatic operation.

The invention provides a multi-AGV bidirectional channel dynamic avoidance method and system based on conflict prediction, and relates to the field of industrial logistics automation control, when a vehicle-mounted laser radar of a first AGV detects an opposite second AGV in a preset fan-shaped early warning interval, double-AGV priority quantification is carried out, avoidance role distribution is carried out according to a quantification priority comparison result, and an avoidance AGV is positioned; and the way-giving AGV receives the standard driving track of the non-way-giving AGV, calculates a smooth way-giving track, and carries out two-way traffic conflict dynamic resolution. The technical problem that the logistics efficiency of a high-beat precise assembly production line is seriously restricted due to the fact that the accuracy of collision conflict prediction and avoidance processing and the response timeliness are insufficient due to the fact that the autonomous collaboration of multi-AGV passing control is weak in a narrow industrial channel in the prior art is solved. Full-autonomous cooperative passage control of multiple AGV clusters in a narrow industrial channel is realized, and zero-interruption execution of high-value logistics tasks is ensured.

The invention discloses an e-commerce storage order real-time picking path planning method and system, and relates to the technical field of intelligent storage and logistics automation, and the method comprises the following steps: training a behavior prediction model based on historical picking behavior data, and outputting a path candidate region of a picker; constructing a path game model according to the path candidate area in combination with the current order task; based on a Stackelberg mechanism, solving a game equilibrium path distribution result; according to a solving result, evaluating the candidate path scheme through a multi-objective optimization algorithm, and outputting an optimal path scheduling strategy; according to the method, by introducing path candidate region extraction based on behavior prediction, fusion graph construction, a Stackelberg hierarchical game solving mechanism and multi-target optimization strategy output, real-time performance and global collaborative optimization of order picking path selection are realized.

The invention relates to the technical field of conveying line control systems, and provides a simple sorting station control method based on roller conveying line construction, and efficient and flexible operation of a sorting station is achieved by dynamically distributing a conveying path and independently triggering an outbound instruction. The method solves the problems that an existing sorting station lacks deep cooperation with a conveying line, cannot dynamically adjust operation logic and excessively depends on hardware equipment. The sorting station is emptied through initialization operation, a conveying path is dynamically distributed, and an independent outbound instruction is generated after sorting is completed. The method has the beneficial effects that the utilization rate of the sorting station is increased, invalid overstock is reduced, the equipment cost and maintenance complexity are reduced, meanwhile, the cooperative capacity of the sorting station and a conveying line is enhanced, and the overall logistics automation efficiency is improved.

The invention provides an intelligent warehousing robot operation method and system based on path planning, and relates to the technical field of warehousing logistics automation, and the method comprises the steps: receiving an order task through a warehousing management system, and obtaining the goods information and a target sorting position in the order task; based on a path planning algorithm, obtaining an initial path of the order task according to the cargo information and the target sorting position in the order task; based on the collected real-time environment data, utilizing a reinforcement learning model to dynamically optimize and adjust the initial path, and generating a target path of the order task; and the robot is controlled to execute sorting and carrying operation along the target path. According to the method, the initial path of the order task is obtained by optimizing the path planning algorithm, then the initial path is optimized and adjusted in combination with the real-time environment data, the target path is obtained, the robot is controlled to work through the target path, the dynamic environment adaptability of the storage robot is improved, and finally the working efficiency of the robot is improved.

The invention discloses a control method and device for a loading and unloading clamp based on pneumatic and electromagnetic composite self-locking, and relates to the technical field of logistics automation equipment. The method comprises the steps that size information and material information of goods to be loaded and unloaded are acquired; acquiring initial position information and target position information of goods to be loaded and unloaded; based on the size information, the material information, the initial position information and the target position information, clamping parameters of the loading and unloading clamp are determined, and the clamping parameters are clamping jaw control parameters of the loading and unloading clamp; and controlling the loading and unloading clamp to clamp the to-be-loaded and unloaded goods based on the clamping parameters of the loading and unloading clamp. The technical problem that in the prior art, automatic loading and unloading equipment is poor in adaptability is solved.

The invention discloses an e-commerce logistics automatic stereoscopic warehouse, and relates to the field of warehousing, the e-commerce logistics automatic stereoscopic warehouse comprises a plurality of groups of goods shelves arranged at intervals and conveying units matched with the goods shelves, one side of each goods shelf is provided with a pick-and-place unit matched with the goods shelves and the conveying units, and the pick-and-place units are used for placing goods on the conveying units on the goods shelves; the goods shelf comprises four support rods and a plurality of supporting plates arranged among the four support rods. A supporting plate is installed between the two support rods on the same side, a lifting air cylinder is installed at the top of the supporting plate, and the top of the telescopic end of the lifting air cylinder is fixedly connected with a supporting plate. According to the automatic stereoscopic warehouse for e-commerce logistics, through mutual cooperation of the lifting air cylinders, the supporting plates and the bearing units, the position height of the supporting plates can be adjusted according to the size height of actual goods in the logistics goods storage process, so that the actual use flexibility of the goods shelf can be better; and meanwhile, the space utilization rate of the stereoscopic warehouse is higher.

The invention relates to a two-dimensional image and geometric constraint-based cargo stack three-dimensional pose detection method and device, which are applied to the technical field of computer vision and logistics automation, and comprises the following steps of: through an edge straight line screening strategy, combining robust fitting of a random sampling consistency algorithm, calculating a three-dimensional pose of a cargo stack; a real physical boundary can be effectively and accurately recognized from complex visual interference such as adhesive tape, labels and printed patterns on the surface of a container, the accuracy and robustness of edge detection are remarkably improved, and therefore the high precision of final three-dimensional pose calculation is guaranteed; and secondly, only a common industrial camera is needed, and an expensive three-dimensional sensor such as a laser radar or a depth camera is not needed, so that the hardware cost and the maintenance complexity of the system are greatly reduced, and the cost benefit is extremely high. And thirdly, an efficient image processing and geometric calculation algorithm is mainly adopted, the calculation complexity is low, and the requirement for real-time detection of the goods stack on an industrial automatic assembly line can be met.

The invention discloses a new energy automobile logistics transfer robot based on visual navigation and an implementation method, relates to the field of logistics automation and intelligent equipment, and solves the problems that traditional equipment is low in navigation precision, difficult in data fusion and weak in obstacle avoidance capability. The transferring robot body comprises Mecanum wheels, supporting legs, an intelligent temperature control battery bin, a visual navigation system, a core control center, an interactive touch screen and a mechanical arm. The core control center comprises an image acquisition module, a data processing module, a path planning module and a transfer control module; all the modules work cooperatively, the automation and intelligence level of logistics transfer is remarkably improved, and powerful support is provided for the new energy automobile logistics industry.

The invention relates to the technical field of logistics automation and information processing, and discloses a sorting center intelligent management method and system based on a cloud platform. The method comprises the following steps: acquiring an image and input information of an abnormal package, and extracting a preliminary attribute; if the preliminary attribute is incomplete, analyzing the high-definition image, calculating a damage index and generating a repair queue; according to the repair queue, matching from a historical feature library to obtain inferred physical attributes; the input information is analyzed, all known attributes are synthesized, and a final destination is determined; generating an initial path according to the final destination and the real-time working condition; the preliminary path is optimized by fusing historical congestion records; and carrying out load balancing based on the optimized path, generating a final allocation scheme, and issuing and executing. According to the method, a complete process from multi-dimensional information intelligent completion to dynamic closed-loop scheduling is constructed, so that the technical problem of low abnormal package processing efficiency in the prior art is solved.

The invention relates to the technical field of logistics automation and intelligent scheduling, and discloses a multi-objective optimization logistics distribution path dynamic planning method, which comprises the following steps: S1, mapping a logistics distribution area and vehicles, clients and constraint entities in the area to a continuous coordinate space; s2, in the continuous coordinate space, optimizing cost, time, priority and constraints based on the mapped clients and constraint entities, and respectively constructing corresponding decision force fields; s3, based on a preset strategy adjustment matrix, carrying out linear transformation and combination on the plurality of constructed decision force fields so as to synthesize total decision force acting on the space; and S4, taking the synthesized total decision-making force as an external driving force. According to the method, through the strategy adjustment matrix and the path dynamic evolution equation, the high-level strategy and the path physical characteristics are deeply coupled, and refined, smooth and efficient regulation and control of multi-target dynamic path planning are realized.

The invention discloses an intelligent express sorting machine system based on'end-edge-cloud 'cooperation and a sorting method, and relates to the technical field of logistics automation. According to the system, the multi-mode recognition device, the intelligent self-adaptive regulation and control device, the equipment connection and management module, the self-adaptive sorting execution mechanism and the logistics data intelligent analysis system work cooperatively. The multi-modal identification device integrates image identification and radio frequency identification technologies, so that the parcel identification accuracy is improved; the intelligent self-adaptive regulation and control device monitors and adjusts the working states of the conveyor belt and the sorting port in real time; the equipment connection and management module realizes deep connection between the equipment and the cloud, thereby facilitating remote monitoring and management; the self-adaptive sorting execution mechanism flexibly processes different types of packages; and the logistics data intelligent analysis system mines data value to optimize operation. The problems that an existing express sorting technology is low in efficiency, poor in accuracy, weak in adaptability and the like are solved, efficient, accurate and intelligent express sorting is achieved, and the requirements of the modern logistics industry are met.

The invention relates to the technical field of logistics automation, in particular to an industrial air track shuttle vehicle which comprises a loop line type track, a shuttle vehicle body is arranged on the loop line type track, a frame body is connected to the shuttle vehicle body through a traction rope, and an electric wire spool used for winding and unwinding the traction rope is installed in the shuttle vehicle body. The frame body comprises a lifting plate connected to the traction rope, U-shaped rods are arranged on the lifting plate in a sliding mode at intervals, round blocks are connected to the top ends of the two sides of each U-shaped rod, and a feeding and discharging mechanism is arranged at the bottom of the lifting plate. The linear motor can drive the mounting plate to drive the first push plate and the second push plate to horizontally reciprocate, cargoes can be pushed into the frame through movement of the first push plate, the cargoes can be pushed out of the frame through movement of the second push plate, automatic feeding and discharging of the cargoes are achieved, and therefore automatic feeding and discharging are achieved; the feeding and discharging operation of goods can be completed without a roller conveyor, so that manual operation can be reduced, the labor intensity can be reduced, the efficiency can be improved, and the cost can be reduced.

The invention discloses a multi-robot intelligent collaborative simulation training system based on an augmented reality technology, and relates to the technical field of intelligent warehousing and logistics automation. An AR dynamic obstacle generation technology breaks through static limitation of a traditional simulation scene, sudden interference such as container collapse, temporary forbidding and the like is simulated through a physical engine, and real-time simulation is achieved. A training strategy is directly exposed to a high-simulation risk environment; a topology potential field decision-making mechanism is introduced to quantify course conflicts and distance threats into a repulsive force field in a unified mode, a course Gaussian modulation item accurately filters non-direct collision targets, and the oscillation defect of a traditional potential field method is avoided. According to the path entropy calculation, the conflict probability is analyzed through direction density distribution, gradient adjustment is forcibly activated when the entropy of a narrow channel exceeds a threshold value, the chain reaction of high-density deadlock is restrained from the source, and the group path fluency is guaranteed.

The invention relates to an express balance wheel sorting machine control method and device and a sorting machine, and aims to improve the cargo posture stability and transmission efficiency in the logistics sorting process. The method comprises the following steps: receiving goods sorting path information, and generating a synchronous control instruction including swing wheel disc angle deflection, goods linear speed and a four-wheel belt transmission mechanism; the deflection angle of each swing wheel disc is calculated in real time, and on the premise of ensuring stable conveying of goods and balanced stress of each roller, the optimal rotating speed of a driving wheel is dynamically solved by adopting a multi-target dynamic optimization model on the basis of transmission balance among the driving wheel, a tensioning wheel and a driven wheel, so that the vibration torque of each belt is minimum, and the transmission efficiency is maximized. The control device is composed of a path information receiving module, a control instruction generating module, a swing wheel disc angle control module, a linear speed control module and a shearing vibration control module, efficient, low-energy-consumption, cooperative and intelligent control and stable transmission of the multi-swing-wheel disc sorting mechanism in the sorting process are achieved, and the multi-swing-wheel disc sorting mechanism is suitable for a logistics automatic sorting system.

The invention discloses an intelligent boxing method and system based on space optimization in an automatic loading and unloading scene, and relates to the technical field of logistics automation, and the method comprises the steps: obtaining the basic information of a to-be-loaded box body, measuring the space size of a loading container, and initializing the constraint condition of boxing; calculating an initial boxing plan based on a three-dimensional space optimization algorithm, and establishing a spatial index mechanism; and guiding the loading equipment to place the current box body, detecting the actual placement position of the box body, updating the position information of the loaded box body, recalculating the boxing plan of the remaining box bodies, and repeating the steps until the loading of all the box bodies is completed. The method is specially designed for an automatic loading and unloading scene, can be seamlessly integrated into intelligent equipment such as a loading and unloading robot, and provides key algorithm support for logistics automation; the logistics transportation cost is effectively reduced by improving the loading efficiency and the space utilization rate; through a real-time detection and dynamic adjustment mechanism, the system can automatically deal with abnormal conditions in the loading process.

The invention discloses an intelligent warehouse task allocation method and system for multiple types of AGVs, and particularly relates to the technical field of intelligent warehouse logistics automation, and the method comprises the steps: obtaining a to-be-allocated task through a docking warehouse management system WMS, carrying out the structural normalization processing, mapping the to-be-allocated task to a warehouse topological map, and generating a task execution element set; and meanwhile, the running state and event log records of each AGV are collected. Calling a task consumption model based on the environment feature vector to obtain a power consumption predicted value and a time consumption predicted value; constructing a health risk score based on the monitoring window and mapping the health risk score into a risk level; and generating an electric quantity safety margin by combining the residual electric quantity with the necessary return stroke or the nearby complementary energy cost, and forming a dynamic capability portrait. In the candidate set generation stage, sustainability constraint verification is carried out according to the health risk score, the risk level, the electric quantity safety margin and the maintenance window constraint, a rolling scheduling mechanism is adopted to generate a task allocation result, and a task instruction is issued to the corresponding AGV to be executed.

The invention discloses a multi-layer three-dimensional cross belt sorting control method and system, and relates to the technical field of logistics automation, and the method comprises the following steps: scanning and identifying an identification code of a target material, extracting the priority of the identification code, and marking a priority label; and the system monitors the materials in real time based on the priority labels to obtain the latest information. And performing hierarchical path planning according to the material information, and monitoring a fault in the path through a set fault threshold. Once a fault is detected, the system is automatically switched to a standby path, it is ensured that sorting control of the materials is continuously carried out, and the stability and high efficiency of the sorting process are kept. The technical problem that an existing multi-layer three-dimensional cross-belt sorting system is insufficient in material sorting efficiency and fault handling capacity is solved, and load balance of a sorting path is further achieved by integrating a hierarchical conflict adjusting strategy of an automatic three-dimensional warehouse and a redundancy switching mechanism of an intelligent suspension conveying system; and the technical effect of ensuring the stability and high efficiency in the sorting process is achieved.

The invention relates to the technical field of intelligent warehouse logistics automation, and particularly discloses a stereoscopic warehouse AGV and elevator intelligent regulation and control system based on the Internet of Things, and the system comprises an Internet of Things sensing module, an edge calculation module, a cloud decision module and a control execution module, and is specifically characterized in that a real-time digital twinborn model is constructed through the edge calculation module; a collaborative optimization scheduling algorithm with task execution time window coupling of the AGV and the elevator at the connection port as a core constraint condition is adopted in the cloud decision module, and a scheduling instruction containing a path and a precise time window is generated; the edge calculation module further performs real-time local obstacle avoidance path planning for the AGV by using a dynamic window method based on the instruction, and implements priority-based traffic management to ensure that the AGV passes preferentially in work; according to the method, accurate matching of the AGV and the elevator operation plan in time and space is realized, waiting time between equipment is reduced, the equipment utilization rate and the system throughput are improved, and the overall efficiency of a warehousing system is further improved.

The invention discloses an automatic guided vehicle intelligent scheduling and path optimization system based on image recognition, and relates to the technical field of intelligent warehousing and logistics automation, and the system comprises an information collection module which is used for collecting a goods taking task signal, goods receiving point image information and AGV operation state data; the intelligent dispatching center is used for performing task distribution, global path planning and dynamic conflict resolution based on the goods taking task signal, the goods receiving point image information and the AGV operation state data and issuing a dispatching instruction; and the task execution and monitoring module is used for issuing a driving instruction to each target AGV according to the scheduling instruction and monitoring the task execution process of the AGV. According to the method, image recognition, statistical modeling and rolling optimization are taken as the core, the improved path optimization and the obstacle avoidance algorithm are combined, a multi-AGV high-concurrency-response, scientific-scheduling, collision-free, optimal-path and high-robustness transportation system is constructed, the transportation efficiency, safety and flexibility are remarkably improved, the intelligent degree is high, and the expandability is high.

The invention relates to the technical field of logistics automation and intelligent detection, and discloses a sorting automatic identification and early warning system based on computer vision, and the system comprises a visual perception module which is used for collecting multi-dimensional information of parcels and carrying out physical pre-classification; the strategy generation module dynamically generates a detection parameter set according to the pre-classification result; the physical detection module is used for applying active physical excitation to the parcel according to the parameter set and synchronously acquiring multi-modal response data such as acoustics, thermotics and surface deformation; and the fusion decision module is used for processing the multi-modal response data to extract physical feature vectors so as to determine the health state of the parcel and generate a sorting early warning instruction. The invention further provides a corresponding method. Through the above scheme, preposed identification of potential risks such as internal damage and structural fatigue of the parcel is realized, the detection scheme has adaptivity, and the accuracy and robustness of identification are improved through the multi-modal fusion decision.

The invention discloses a stacking device for cargo loading, and relates to the technical field of logistics automation, the stacking device comprises a base, and a rotating hole is formed in the base; a rotating bearing disc is fixed to the rotating shaft, a driving motor is installed on the rotating bearing disc through a motor frame, a screw rod is connected to the output end of the driving motor, a lifting block penetrates through the screw rod in a sliding mode, a positioning block is fixed to the rotating bearing disc, and a limiting plate is fixed to the positioning block; the far end of the screw is rotationally connected with the limiting plate; according to the stacking device, through the designed double-clamping component, during stacking operation, when one set of clamping jaws execute the grabbing action, the other set of clamping jaws can conduct stacking operation synchronously, so that the cargo carrying process is subjected to the synergistic effect of alternate operation, the stacking device is different from a traditional single-clamping-jaw stacking device, and it is ensured that in the continuous operation process, the stacking efficiency is greatly improved; the automatic stacking device can grab or carry heavy goods or objects in irregular shapes, and automation and high efficiency of the stacking process are achieved.

The invention relates to the field of warehouse logistics automatic sorting and boxing, and discloses an express parcel automatic stacking and boxing system based on a truss robot, and the system comprises a sorting line which is used for conveying express parcels to corresponding sorting grids; the sorting grid opening is formed in the front side of the sorting line; the express sorting box is arranged on the front side of the sorting grid opening; the truss robot is mounted at the top of the express sorting box; the belt conveyor is arranged on the front side of the express sorting box; the roller conveyor is arranged on the front side of the belt conveyor; the visual module is arranged on the top of the truss robot and located at the highest position of the whole system. Through an integral automatic system integrating a sorting line, a visual module, a truss robot, a center console and an automatic conveying device, unmanned operation of the whole process from parcel sorting and bag falling to full box sending out is achieved, the utilization rate of parcel loading space is effectively increased, the labor cost is greatly saved, and meanwhile the labor efficiency is improved. And the overall operation efficiency and stability are improved.

The invention belongs to the technical field of logistics automation, and discloses a logistics conveying line integrated control system based on a modular intelligent driving card. Comprising a modularized intelligent driving card, a conveying line section, a main control unit and a service host. According to the system, operation parameters and state data of an equipment object are collected through a modular intelligent driving card, and operation feature vectors are generated; performing operation state classification by using a dynamic clustering algorithm; generating running trend prediction data through the prediction model in combination with high-level service logic of the service host; generating and issuing an optimization control instruction based on the prediction data; a dynamic handover strategy is generated through the network communication module, and product handover between adjacent conveying line sections is coordinated; and dynamically binding the product tracking data with the physical product position through a virtual mapping mechanism. According to the invention, the efficient integrated control of the logistics conveying line is realized, the response speed and the processing capability of the system are improved, the energy utilization is optimized, and the product tracking precision is enhanced.

The utility model relates to the technical field of industrial logistics automation, in particular to an industrial material automatic carrying robot which comprises a robot body, a bottom frame is arranged at the top of the robot body, a main material supporting disc is arranged above the bottom frame, and a hydraulic cylinder used for pushing the main material supporting disc to ascend and descend is arranged in the middle of the top of the bottom frame. Guide rods are arranged at the four corners of the top of the bottom frame, guide sleeves arranged outside the guide rods in a sleeving mode are arranged at the four corners of the main material supporting disc, auxiliary material supporting discs are stored in the two sides of the main material supporting disc through movable grooves, and air cylinders for driving the auxiliary material supporting discs to be transversely stored are symmetrically arranged at the bottom of the main material supporting disc. Adjusting plates are symmetrically arranged at the outer ends of the auxiliary material supporting discs, and clamping blocks are arranged on the inner sides of the adjusting plates. The industrial material automatic carrying robot has higher adaptability and flexibility and can effectively meet variable material carrying requirements, and therefore the efficiency and reliability of the whole production process are improved.

The invention discloses an intelligent warehousing operation method and device for an unmanned forklift and a medium, and relates to the technical field of logistics automation, and the method comprises the steps: building a three-dimensional point cloud map based on the physical layout information of a target warehouse, mapping the state information corresponding to a physical entity in the target warehouse into the three-dimensional point cloud map, and storing the state information corresponding to the physical entity in the target warehouse in the three-dimensional point cloud map; constructing a digital twinborn model corresponding to the physical entity; the original UWB position of the unmanned forklift in the target warehouse is obtained in real time through the UWB communication base station, and the original UWB position is mapped to the digital twinborn model; receiving a task demand, generating an optimal path through a digital twin model according to the target cargo position and the original UWB position, and issuing the optimal path to the unmanned forklift; and based on the cargo virtual position of the target cargo, determining a position deviation through a digital twin model. The UWB base station obtains the original position of the unmanned forklift in real time and maps the original position to the digital twin model, real-time synchronization of the physical forklift and the virtual model is formed, and the movement track of the forklift in the three-dimensional space is mastered more accurately.

1. The name of the design product: warehouse handling task management graphical user interface for electronic equipment. 2. The use of the design product: for an electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic equipment is a conventional design, and other views are omitted. 6. The use of the graphical user interface: for monitoring exceptions and execution timeout of automated handling tasks in a logistics automated warehouse; enter the interface change state diagram by selecting the "Settings button" in the upper right corner of the main view interface.

The invention relates to the technical field of logistics automation technology, in particular to a stacker guide wheel use time limit detection method, which comprises the following steps of: determining a linear fitting relationship between the stacker guide wheel wear degree and the stacker guide wheel operation duration based on preprocessed stacker guide wheel operation time data and wear degree data; determining an operation threshold value corresponding to the use time limit of the stacker guide wheel based on a linear fitting relationship between the stacker guide wheel wear degree and the stacker guide wheel operation duration and the guide wheel wear data in a stacker guide wheel damage state; comparing the preprocessed real-time operation duration data of the stacker guide wheel with an operation threshold value corresponding to the use time limit of the stacker guide wheel; and if the preprocessed real-time operation duration data of the stacker guide wheel is greater than the operation threshold value corresponding to the use time limit of the stacker guide wheel, displaying the expiration information of the use time limit of the stacker guide wheel, and solving the problem of inaccurate judgment of the existing method for detecting the service life of the stacker guide wheel.