167 results about "Logistics automation" patented technology

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 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 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 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 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 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.

The utility model discloses a plastic container suitable for automatic logistics transportation, which belongs to the field of logistics automation, and comprises a bottom plate, a bottom plate sunken structure and a rear side plate, the bottom plate sunken structure is arranged in the middle of the bottom plate, the height of the bottom plate sunken structure is lower than that of the bottom plate, and the rear side plate is arranged on the bottom plate sunken structure. The bottom plate is inclined towards the bottom plate sunken structure; one side of the bottom plate is provided with an oblique angle structure and the other side is provided with a rear side plate; one end of the oblique angle structure close to the rear side plate is lower than one end away from the rear side plate; the height of the bottom plate concave structure is lower than that of the bottom plate, meanwhile, the bottom plate inclines towards the bottom plate concave structure, large and small articles are added from the left side and the right side of the bottom plate, the small articles can automatically move into the bottom plate concave structure, the large articles stay on the bottom plate on the two sides, and the large and small articles are automatically classified through the device. And the small articles can be automatically limited in the concave structure of the bottom plate and cannot fall off, so that automatic classification and automatic storage are realized.

The utility model relates to a conveying line square battery short circuit automatic detection device which is composed of a blocking and jacking positioning mechanism, a short circuit detection mechanism, a defective product removing mechanism and a classification caching mechanism, in the working process, a tray carries a square battery to a detection station, and after being blocked, the square battery is triggered to be jacked and positioned through photoelectric induction; the short-circuit detection mechanism is in contact with a battery through a probe, a PLC controls a short-circuit tester to complete detection, if a short circuit is found, the collaborative robot grabs defective products and places the defective products to the classification caching mechanism, and the tray is released after detection, the automation degree is high, safety accidents caused by the short circuit can be effectively prevented, the detection efficiency is greatly improved, the labor cost is reduced, and the reliability is high. An efficient and reliable solution is provided for short circuit detection of the square battery in the production, transportation and storage processes, and the method is suitable for the field of square battery production and logistics automation.

This invention discloses an automated tire warehousing system and method for truck cranes, belonging to the field of intelligent manufacturing and logistics automation technology. The system integrates a WMS (Wastewater Management System), MES (Manufacturing Execution System), a central control scheduling system, AGVs (Automated Guided Vehicles), a gantry robot, and a dual-mode vision system. The method is as follows: the MES issues orders, and the central control system breaks down tasks; the WMS schedules AGVs to return empty pallets and deliver tires to the production line; the gantry robot uses 2D vision to scan the tire's QR code for identity verification; if the verification is correct, the tire enters assembly; otherwise, it is returned and reassembled; after assembly, the central control system triggers the warehousing task, the WMS dynamically allocates the optimal storage location, the AGV transports the tire to the temporary storage area, and the gantry robot, guided by 3D vision, accurately grasps and places the tire into the storage location; the WMS updates the inventory. This invention achieves full-process automation and information closure of tires from production line to warehousing, significantly improving efficiency, accuracy, and warehouse utilization, while reducing costs and safety risks.

The invention relates to the field of medical transportation equipment, in particular to a control method and system based on a medical transportation robot, and the control of the medical transportation robot is realized by adopting a mode of global path planning in advance and a real-time avoidance strategy. Global path planning comprehensively considers multiple costs of distance, congestion, elevator waiting and the like based on a 3D grid map, and ensures the overall optimality of task execution; and on the basis of real-time dynamic perception of depth vision and radar fusion, various intelligent obstacle avoidance behaviors such as detour, waiting and active avoidance are realized by accurately identifying the target type and the motion vector. The traffic efficiency and the path continuity are balanced, and the method is particularly suitable for complex dynamic scenes with dense people flow and many emergencies in a hospital environment. The layered decision-making mechanism not only avoids the heavy overhead of global planning, but also optimizes the obstacle avoidance path through the local cost model, so that the robot can politely, efficiently and reliably complete the medical transportation task, and the hospital logistics automation level and the emergency response capability are remarkably improved.

The utility model relates to the field of logistics automation technology, and disclose a kind of L type narrowband sorting machine, the L type narrowband sorting machine, including a direct rail, the direct rail upper one end is fixedly installed with support curved rail one end, the direct rail is provided with conveying assembly, and the conveying assembly includes reinforcing rod.The L type narrowband sorting machine, in order to make the device satisfy the efficient operation demand of logistics warehouse, by setting conveying assembly, the component cooperation reinforcing rod and support plate fixed single side driving motor, by magnet plate drive transmission frame on the pallet along guide rail moves, walking wheel is supported trolley weight on walking rail, guide wheel is limited lateral deviation on guide rail, ensure trolley along L trajectory accurate operation, fish eye bearing is hinged with coupling frame by thread block, allow front and rear trolley produce certain deviation when turning, cooperation T type car frame's flexible connection, make whole trolley form continuous curve at horizontal curved rail, parcel is stably conveyed to cell.

The invention relates to an environment-adaptive intelligent logistics trolley, an environment intelligent sensing system and application, and belongs to the technical field of artificial intelligence, in particular to the technical field of logistics intelligent equipment. According to the technical scheme, the intelligent logistics trolley capable of self-adapting to the environment, the environment intelligent sensing system and the application of the environment intelligent sensing system are provided; the warehouse circulating mechanism and the pitching driving mechanism are arranged on the chassis to be matched with the mechanical arm to form the intelligent trolley capable of automatically and circularly changing the positions of all the warehouses and automatically achieving dumping type unloading, and the blank that traditional freight logistics is low in automation degree and troublesome in manpower is filled up.

The invention discloses a low-gas-consumption vacuum breaking end effector of a reused vacuum pump and a vacuum breaking method, and belongs to the field of logistics automation. The problems that an existing actuator depends on an additional positive pressure air source, energy consumption is high, the structure is redundant, and old equipment transformation compatibility is poor are solved. The actuator comprises a suction cup connecting plate, a vacuum adsorption assembly, a mechanical arm connecting structure, a vacuum pump, a first stop valve, a second stop valve, an air distribution block and the like, the gas distribution block is provided with a main gas inlet and an independent gas outlet, the tail gas pipeline is connected with the second stop valve and the gas distribution block, and the three-way gas path connector is communicated with the gas distribution block. According to the vacuum breaking method, gas paths are switched through the stop valves, vacuumizing is conducted in the adsorption stage, the vacuum pump is reused as a channel in the release stage, and atmosphere is subjected to vacuum breaking through a short path. The device is low in gas consumption, high in vacuum pump utilization rate, simple in structure, adaptive to upgrading of old equipment, capable of meeting the high-speed sorting requirement and high in practical value.

The utility model belongs to logistics automation equipment, concretely, the utility model relates to a telescopic fork hoisting clamp structure, a telescopic fork hoisting clamp structure, including push pile machine, be provided with the fork on the push pile machine, the fork is connected with hoisting clamp, hoisting clamp is connected with battery, through setting up one hoisting clamp, the connecting point of fork and battery is changed from the top of fork, becomes the lower part of fork, can avoid the interference of battery and push pile machine in the hoisting process, facilitates the transfer of the battery on the battery cabin battery of electric ship.

The utility model relates to the technical field of hospital logistics automation equipment, and discloses a quick connecting device of a modular component of a hospital box type logistics system, which comprises a conveyor belt I, a conveying box, a vertical limiting frame and a moving frame, wherein power jacks are formed in the periphery of the conveying box, and the vertical limiting frame and the moving frame are used for vertical conveying. Annular rails are installed on the two sides of the top of the first conveying belt, sliding grooves are formed in the two sides of the outer walls of the two annular rails, and a plurality of driving assemblies are installed in each sliding groove. Through the synergistic effect of the boosting assembly and the pushing assembly, stable transition of the cold chain box between the conveying belts is achieved; an electric push rod and a spring buffer design are combined, so that automation and high precision of power supply plugging are realized; the position of the cold chain box is accurately adjusted through the reciprocating driving and correcting assembly, and the adaptability and precision of a logistics system are improved; a modular design is adopted, so that the system has flexibility and expansibility, lines can be adjusted or functional modules can be additionally arranged according to requirements, and the multi-scene logistics requirements are met.

1. The name of this design product: stacker. 2. Purpose of the product of this design: Logistics automation equipment used for storing, retrieving and transporting goods. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design.

The invention discloses a roadway stacking machine for warehousing flame-retardant corrugated boards, and relates to the technical field of warehousing and logistics automation equipment, the roadway stacking machine comprises a butt joint plate and a transverse U-shaped frame, the top of the butt joint plate is fixedly connected with a supporting rod, one end of the transverse U-shaped frame is rotatably connected to the supporting rod, the top of the transverse U-shaped frame is provided with a carrying assembly, and the carrying assembly carries the corrugated boards; by arranging the isolation box and the sealing plate structure on one side of the roadway stacking machine, when corrugated boards burn due to friction, heating and other factors in the carrying or stacking process, the box body can be automatically sealed after the corrugated boards slide into the isolation box, physical isolation of a combustion source is effectively achieved, flames are prevented from spreading towards the stacking machine and the interior of a warehouse, and the service life of the corrugated boards is prolonged. And meanwhile, a local closed environment is formed in the isolation box, oxygen supply can be limited, the combustion process can be restrained, safety conditions are provided for subsequent fire extinguishing or cooling treatment, and the storage safety is remarkably improved.