124 results about "Logistics automation" patented technology

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 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 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.

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 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.

This invention discloses a method, system, and medium for remote task distribution based on visual perception of warehouse location status, belonging to the field of warehousing and logistics automation technology. The method includes: periodically acquiring warehouse location image data through a vision device and standardizing it into warehouse location status information; real-time monitoring of changes in warehouse location status information, automatically generating a remote call task when the status change meets preset rules; calculating the distribution priority score of each candidate handling robot using a preset weighted formula, selecting the optimal robot and distributing the task; and performing closed-loop monitoring of the task execution process, triggering corresponding graded anomaly handling strategies based on the severity of the anomaly. This application achieves rapid automatic response to operations by directly linking visual perception with task scheduling, and significantly improves the system's real-time performance, reliability, and resource utilization through closed-loop monitoring and intelligent distribution.

The application relates to the technical field of electromagnetic wire spool storage, and provides an electromagnetic wire spool grabbing mechanism, which realizes accurate grabbing and intelligent tray splicing of electromagnetic wire spools through the synergistic effect of three-axis servo driving, an adjustable pneumatic clamping jaw and an industrial vision system. The mechanism is deeply integrated with an MES / WMS system, significantly improves tray utilization and tray splicing efficiency, reduces manual intervention, and is suitable for transformer production logistics automation scenes.

The invention discloses a systematized bundling method for high-voltage waste cables, and belongs to the field of warehouse logistics automation. A working platform capable of fixing and compressing cable bundles is arranged, and a plurality of cable seats are arranged on the working platform; carrying out transverse and vertical extrusion treatment on the placed cable bundle; binding operation is completed through an arrow penetrating type binding machine; measuring the weight of the cable bundle by using a weight sensor arranged at the bottom of each cable seat; data support is provided for calculating the gravity center position of the bundled cable bundle; printing information labels including cable specifications, binding dates and total weight, pasting the information labels on any binding tape, and meanwhile, archiving data to a warehouse database; the horizontal gravity center position of the cable bundle is calculated according to data of all the weight sensors, indicator lamps of cable bases located on the two sides of the gravity center position are lightened, a forklift operator is guided to hoist the cable bundle at the cable base position between the two lamps, and it is ensured that the cable bundle is safely transferred to a storage area. And the method is especially suitable for classified management of cables with different lengths and bending after construction.

The present invention proposes a logistics automation device with a collision avoidance function that can prevent collisions between a robot and a worker during the implementation of logistics automation. The device may include a gripper robot for gripping objects, a projector that displays a monitoring area with collision risks based on the movement of the gripper robot, and a controller that variably sets the monitoring area according to the movement of the gripper robot, and controls the operation of the gripper robot to ensure that the set monitoring area is displayed through the projector.

The utility model belongs to the technical field of logistics automation, and provides an efficient data acquisition device which comprises a shell, the shell is located below the bottom of a shuttle vehicle, a scanning reader-writer externally connected with a power source is arranged at the bottom of the shell, an edge calculation module and a wireless communication module are arranged in the shell, and an adjusting plate is arranged above the shell. A clamping assembly is arranged between the adjusting plate and the shell, a displacement block is arranged at the top of the adjusting plate, a ball nut is arranged in the displacement block, positioning plates are symmetrically arranged at the bottom of the shuttle vehicle, a lead screw is arranged between the two positioning plates, the ball nut is matched with the lead screw, a motor externally connected with a power source is arranged on one side of one positioning plate, and the motor is matched with the lead screw. According to the utility model, the acquisition module which is traditionally connected to the track is arranged in the shuttle vehicle and can move along with the shuttle vehicle, so that the information of the goods in the shuttle vehicle can be efficiently acquired, and the comprehensiveness of the information acquisition of the goods is improved.

The invention discloses an unmanned forklift dispatching method and system based on a warehouse management system, and belongs to the technical field of intelligent warehousing and logistics automation. Aiming at the problems of limited interaction, asynchronous tasks, static path planning, poor multi-forklift coordination and incomplete exception handling of the existing unmanned forklift dispatching and warehouse management system, the technical scheme is characterized in that the dispatching system consists of a dispatching center, a warehouse management system and at least one unmanned forklift, the method comprises the steps of receiving task and cargo information, obtaining forklift real-time data, dynamically matching a target forklift, dynamically planning an optimal path, sending a scheduling instruction and performing exception handling. The system comprises a data interaction module, a forklift monitoring module and the like, and supports multi-vehicle cooperation and time sequence planning. The method and system are used for unmanned forklift dispatching, dispatching efficiency and flexibility can be improved, deep fusion with a warehouse management system is achieved, and operation continuity is guaranteed.

The invention discloses an object stacking method, system, equipment and product based on visual perception, and relates to the field of logistics automation, and the method comprises the following steps: generating a second three-dimensional point cloud of a target object under world coordinates; projecting the second three-dimensional point cloud along three coordinate axes to obtain three two-dimensional density thermodynamic diagrams; calculating the global density of each two-dimensional density thermodynamic diagram; setting a circle with a preset radius by taking each two-dimensional point as a circle center, and calculating local density in each circle; if the local density in the circle is smaller than the global density, corresponding two-dimensional points are removed from the two-dimensional density thermodynamic diagram; respectively calculating a maximum two-dimensional connected region in each two-dimensional density thermodynamic diagram, and reserving three-dimensional points of which the projections simultaneously fall in the three maximum two-dimensional connected regions in the second three-dimensional point cloud to form a target three-dimensional point cloud; according to the target placement area of the target object in the stacking area of the target three-dimensional point cloud, the size of the object can be accurately calculated, so that accurate execution of stacking operation is facilitated.

The utility model discloses a cold chain logistics automation loading and unloading auxiliary equipment, including automatic mobile base, loading platform, portable power source, mobile controller, the loading platform still include hydraulic lift platform, transport platform, and hydraulic lift platform setting is between automatic mobile base with rotatable adjustment transport platform of the direction of freight box, the automatic mobile base below is provided with the fork groove. The utility model's function is convenient for the operator to adjust the direction of the box, improves the mobility of device, can use mobile controller control freight box and carry out automatic loading and unloading, improves the efficiency of loading, improves the automation degree of device, makes device can be in the case of lacking the force point and lift the stacked freight box automatically and send out, facilitates the operator to unload the box stacked together and unloads the operation, reduces the unloading difficulty under this condition.

The invention discloses a double-arm intelligent carrying trolley, and relates to the technical field of logistics automation. A motor vehicle shell is welded outside the motor vehicle, the top end of the motor vehicle is in bolted connection with two mechanical arms of the same structure, the front end of the motor vehicle is provided with an intelligent recognition sensing device with automatic tracking, visual recognition and positioning functions, and the rear end of the motor vehicle is fixedly connected with the loading vehicle through a connecting rod pin type connecting structure. A carrying vehicle shell is welded to the upper portion of a carrying vehicle chassis, two grooves are formed in the top end of the carrying vehicle chassis, motors A, threaded rods and advancing rods are embedded into the grooves, a vertical lifting fence is arranged in the carrying vehicle shell, a fixing frame is installed at the rear end of the carrying vehicle shell, and a shielding module comprising a positioning block, an electric telescopic rod, a sliding rail and other components is arranged at the top of the fixing frame. The mechanical arm integrates multiple steering engines, a rotating base, multiple sections of arm bodies and a clamping device, and multi-degree-of-freedom precise operation is achieved. The double-arm linkage efficiency is high, the object carrying structure can meet different requirements, the automation degree is high, and the double-arm linkage mechanism is suitable for logistics sorting, express delivery and other scenes.

The utility model belongs to the field of warehouse logistics cargo allocation equipment, and discloses a warehouse logistics automatic cargo allocation device which comprises a conveying rack, a first electric conveying belt is arranged on the surface of the top of the conveying rack, and a transferring assembly is arranged at one end of the conveying rack. A monitoring assembly is arranged at the position, close to the transferring assembly, of one end of the conveying rack and used for monitoring and recognizing goods codes of material conveying on the transferring assembly. A plurality of groups of cargo allocation racks are arranged on one side of the transfer assembly, a third electric conveying belt is arranged on the top surface of each group of cargo allocation racks, the third electric conveying belts are used for the cargo allocation racks to realize cargo allocation of warehouse logistics cargoes, the monitoring assembly comprises a portal frame, and a scanner is arranged in the middle of the top surface of an inner cavity of the portal frame. According to the utility model, the warehouse logistics can be automatically transported and allocated, so that the high-efficiency automation efficiency of the warehouse logistics can be improved.