125 results about "Goods distribution" patented technology

The invention relates to an artificial intelligence-based cargo transportation path planning method and system for automatic warehouse logistics. The method comprises the steps of performing weighted scoring calculation based on customer historical transaction data and cargo attributes, and generating service label data for distinguishing a high-value hierarchy and a common hierarchy; a differentiation algorithm strategy is called according to the service label, an exclusive transportation path is distributed to the high-value goods, obstacle avoidance is optimized in real time, and adjacent orders are matched for common goods to be merged and distributed; in combination with real-time road conditions and storage scheduling data, through path weight dynamic calculation and genetic algorithm iterative optimization, generating a global transportation scheme considering both time efficiency and cost; customer preference parameters are updated in a closed loop mode based on execution feedback data, and system self-adaptive learning is achieved. According to the method, the problems that differentiated services, dynamic response to environment changes and low-efficiency resource utilization cannot be achieved in a traditional method are solved, the punctuality rate of high-value orders and common orders can be increased, and meanwhile the transportation cost of the common orders can be reduced.

The invention relates to the technical field of goods source matching, in particular to a multi-dimensional award fused stock matching method, electronic equipment and a storage medium. The shipping matching method comprises the following steps: firstly, acquiring cargo source feature information and driver feature information corresponding to each cargo source, and then inputting the cargo source feature information and the driver feature information into a trained shipping matching degree calculation model to obtain a matching degree score of the cargo source and a target driver; and sorting the plurality of matching degree scores from high to low to obtain a matching degree priority sequence. According to the shipping matching method provided by the invention, various kinds of driver feature information are fused when cargo source matching is carried out on the driver, so that the matching degree priority sequence with the matching degree scores from high to low is finally obtained, and the driver selects the cargo source with the high priority according to the matching degree priority sequence, so that the driver can select the cargo source with the high priority according to the matching degree priority sequence. Therefore, the matching degree between the goods source and the driver is higher, the empty driving rate of the driver is reduced, and the goods pushing efficiency and the goods distribution efficiency of the platform are improved.

The invention relates to a combined truncated cone type gas-liquid redistributor. The combined truncated cone type gas-liquid redistributor comprises a conical wall and a connecting bottom plate. Theconnecting bottom plate is fixedly arranged at the bottom of the conical wall, and is provided with a plurality of strip-shaped folding plates; the strip-shaped folding plates are of inverted-V structures; a plurality of air holes are formed at equal intervals in both sides of each strip-shaped folding plate; a stop plate is fixedly arranged on the lateral side of the strip-shaped folding plate above each air hole, and an angle is formed between each stop plate and the lateral side of the corresponding strip-shaped folding plate; the angles between the stop plates and the lateral sides of thestrip-shaped folding plates are proportional to the distances from the stop plates to the center of the connecting bottom plate. The combined truncated cone type gas-liquid redistributor has the advantages that the strip-shaped folding plates and the stop plates are adopted to achieve a good distribution effect of washing liquid, and accordingly, the area and time of contact between gases and liquid can be increased and prolonged; the included angles between the stop plates and the lateral sides of the strip-shaped folding plates are proportional to the distances from the stop plates to the center of the connecting bottom plate, so that the differences among the flowing speeds of gases from each air hole are small, the gas distribution effect is good, poor gas-liquid distribution in a packing tower is reduced, and the gas-liquid mass transfer efficiency is improved.

The invention discloses a warehouse management method based on the industrial Internet of Things, and the method comprises the following steps: automatically collecting image data of goods through Internet of Things equipment, taking the image data as goods information, and storing the goods information in a central database for recognition; image data and temperature and humidity data of a warehouse shelf are obtained through Internet of Things equipment to serve as shelf information, and the shelf information is stored in a central database to be recognized; matching is carried out according to the goods information and the goods shelf information, the optimal goods shelf is selected to store goods on the basis of goods types, sizes, storage requirements and storage condition factors, and a unique classification number is distributed to each piece of goods; the goods are stored to the corresponding goods shelf positions according to the distributed classification numbers and the matching results; through automatic and intelligent warehouse management, the operation efficiency of the warehouse and the accuracy of inventory management are improved, and complex storage conditions and dynamically changing inventory requirements can be dealt with, so that the overall efficiency and precision of warehouse management are effectively improved.

The invention belongs to the technical field of logistics storage, and particularly discloses a logistics storage management system which comprises a cargo distribution module, a storage configuration module, a storage operation module, a material distribution module and a query statistics module. The cargo distribution module is used for optimizing warehouse space utilization, improving the cargo storage and taking speed, reducing manual errors and losses and conducting accurate inventory management and prediction. The warehouse configuration module is used for configuring warehouse entity parameters to realize identification and management of warehouse resources; the warehousing operation module is used for warehousing self-management, and mainly comprises goods receiving management, goods delivery management, goods checking and goods scrapping; the material distribution module is used by a transportation management department according to the number of packages of clients, the delivery address of the clients, the transportation mode and the transportation capacity of the transportation management department; and the query statistics module is used for providing comprehensive query of business information related to the storage business and outputting a report.

The invention discloses a port bulk cargo storage location intelligent distribution method and system, and belongs to the technical field of port storage location management and intelligent distribution. The method comprises the following steps: collecting historical data related to port cargo scheduling, and defining a storage location distribution demand; designing constraint conditions for a storage location distribution process; constructing a multi-objective optimization model based on a genetic algorithm according to the constraint condition; generating an initial feasible solution meeting all hard constraints by adopting a greedy pre-screening algorithm; taking the initial feasible solution as the input of a multi-objective optimization model, and solving the optimal solution of storage location allocation by using an improved NSGA-II algorithm; and according to an optimization result, distributing the goods to the optimal storage location. By adopting the technical scheme of the invention, the problems of low storage location utilization rate, load imbalance and high delivery cost in port multi-type cargo scheduling can be effectively solved, so that the port resource utilization rate and the operation efficiency are improved.

The invention discloses a refined intelligent storage safety management method and system, and relates to the technical field of storage management, and the method comprises the steps: building a goods storage strategy model based on goods characteristic data, outputting a goods storage scheme through the goods storage strategy model, and distributing storage shelves for goods according to the goods storage scheme; collecting a dynamic load index of the storage shelf, fusing the dynamic load index with a predefined environment index, and comprehensively judging a high-risk shelf point location where a dumping event easily occurs; and identifying an adjacent target body of the high-risk shelf point location, predicting a sweep range of the high-risk shelf point location toppling over the adjacent target body by using the space collision detection model, and formulating a storage safety early warning measure according to the sweep range. According to the method, the health state of the shelf structure can be accurately evaluated, the potential high-risk shelf point location can be dynamically identified, the strain concentration area is identified based on the connectivity of the microcracks and structural health evaluation, and the shelf fracture risk is predicted in advance.

The invention relates to a method for organising goods (6) in a logistics area (1) comprising at least one driverless transport device (3), wherein at least one verification area (2) is defined, and the method comprises an assignment method which has the following steps: a. detecting at least one good (6) located in the verification area (2) by means of at least one sensor arrangement of the transport device (3); b. determining the pose of the good; c. checking whether the good (6) is located in a defined location (5, 5a, 5b), wherein the check involves comparing at least the pose of the good with pose data from defined locations, wherein the defined locations, along with their pose data and occupancy data, are stored in a database; d. designating at least one defined location (5, 5a, 5b) if the check has determined that the good (6) is not located at at least one defined location (5, 5a, 5b), wherein the designated defined location (5, 5a, 5b) comprises the pose of the good, and assigning the good (6) to the designated at least one defined location (5, 5a, 5b) and storing the designated location (5, 5a, 5b) in the database.

The invention discloses a logistics life cycle shortening method and system in an Internet of Things environment, and relates to the technical field of Internet of Things, and the method comprises the steps: carrying out the identification of a cargo through an RFID tag, collecting the comprehensive data of the cargo, and carrying out the preprocessing; state information of goods is monitored in real time, a storage environment is adjusted, a storage position is allocated based on comprehensive data of the goods, an emergency degree value is allocated for each piece of goods, shelf layout and the storage position are adjusted, and a cloud data center receives data of each warehouse, carries out global inventory management and path planning and generates inventory layout data and path planning data. The multi-source sensor is used for monitoring the cargo state in real time, dynamically adjusting the storage environment and optimizing the warehouse space utilization rate, the shelf layout is adjusted in combination with emergency degree value distribution and an intelligent algorithm, it is ensured that high-priority cargos are quickly delivered out of a warehouse, the warehousing efficiency and the overall operation intelligence level are remarkably improved, and the labor intensity of workers is lowered. And a scientific basis and a dynamic optimization capability are provided for efficient shortening of the logistics life cycle.

The invention discloses a refrigerated vehicle distribution path optimization method based on an evolutionary algorithm, and the method comprises the steps: 1, analyzing the demands of perishable goods for different transportation temperatures and the adaptation relation between different transportation temperature intervals of a heterogeneous refrigerated vehicle, and building a heterogeneous refrigerated vehicle distribution problem model; 2, two-stage optimization is carried out, in the first stage, a potential path of each refrigerator car is generated based on an evolutionary algorithm, and in the second stage, a comprehensive path scheme is generated through a path clustering and fusion mechanism; 3, iteratively searching a potential single path based on an evolutionary algorithm, regularly performing local search operation on the population to generate a potential path set, clustering the path set by using a clustering method, selecting paths in different clusters for multiple rounds for aggregation, and processing non-accessed clients to form a complete path scheme; and finally, outputting an optimal perishable goods refrigeration distribution scheme. According to the method, the problem of heterogeneous refrigeration vehicle distribution path optimization can be solved, and the goods loss is reduced to the maximum extent while the perishable goods distribution cost is reduced.

The invention discloses a cascade failure-based double-layer international railway freight network toughness evaluation method, which belongs to the technical field of road traffic network evaluation, and comprises the following steps: constructing topology models of a basic line network and a transportation service network; constructing a network evaluation system and an importance evaluation system of each node in the network; constructing a network vulnerability evaluation model based on cascade failure, wherein the model adopts an improved CML node state model and a cargo redistribution strategy; and in combination with each network and the evaluation model, a cascade failure condition is simulated through a simulation experiment, and the network is evaluated in combination with an evaluation system. The characteristics of international railway freight are considered, a double-layer coupling network of a basic line network and a transportation service network is constructed, a multi-dimensional toughness evaluation index system and a cargo distribution mechanism are set up, and the cascade failure condition in the international railway freight network can be simulated.

The invention relates to the technical field of warehouse storage location management methods, in particular to a warehouse storage location management method oriented to intelligent distribution and path optimization. The invention discloses a warehouse storage location management method oriented to intelligent distribution and path optimization. The method comprises the steps of data acquisition and processing, total turnover quantity prediction, storage path planning, intelligent storage location distribution and placement scheme design. According to the invention, the number of carrying times required by each type of goods is calculated based on the basic data of each type of goods and the predicted total turnover amount, and the goods shelf closer to the entrance and exit of the warehouse is allocated to the goods with more carrying times, so that the driving distance and time of carrying equipment can be reduced to the greatest extent; therefore, the operation cost of the warehouse is effectively reduced, the overall operation efficiency and operation efficiency of the warehouse are improved, the driving frequency of the carrying equipment in the internal channel of the warehouse can be greatly reduced, the risk that the carrying equipment collides with a goods shelf or other equipment is remarkably reduced, and the storage safety of the warehouse is improved.

The invention discloses a warehouse management method, system and device based on RFID electronic tags, and the method comprises the steps: receiving a goods storage request, determining a warehouse-in region and a corresponding first information read-write device, and a primary distribution warehouse-in shelf, and the first information read-write device is installed in the warehouse-in region; in response to a signal that the mobile device arrives at the warehousing area, starting the first information read-write equipment, and identifying a cargo electronic tag on the mobile device; secondarily distributing warehousing shelves according to the electronic tags of the goods; if the corresponding warehousing shelf information is not changed, a signal device on the warehousing shelf is controlled to be started; and receiving goods shelving information, and updating goods storage information in the goods electronic tag through the first information read-write equipment. When the goods are put on the shelf, the control signal device is started to determine and verify the warehouse-in shelf when the warehouse-in shelf information distributed by the goods is verified again, so that the situation that the stock position of the goods is inconsistent with the preset stock position is avoided.

The invention discloses a full-link coverage logistics optimization method, which comprises a goods picking step and a goods allocation step, and the goods picking step comprises a goods taking mode judgment step which comprises a whole vehicle transportation mode and a circulating goods taking mode; and when the goods taking mode is a circulating goods taking mode, determining a goods taking transportation path and a loading scheme, determining the loading scheme comprises determining a loading sequence and determining a loading position, and the goods taking transportation path comprises paths between suppliers and between the suppliers and goods picking bins. According to the full-link coverage logistics optimization method, multi-customer, multi-cargo-warehouse and multi-supplier order demands are considered, joint optimization is carried out on an existing path planning system in three links of front-end cargo picking, trunk transportation and turnover appliance management, the efficiency and cost control capability of automobile logistics are comprehensively improved, transportation resources are reasonably scheduled, and the transportation efficiency is improved. And the logistics cost is reduced.

The invention relates to the technical field of refrigeration house storage automation, and discloses a refrigeration house automatic storage unified distribution system. An abnormal behavior monitoring module of the system collects storage equipment operation state data and goods access behavior data in real time, and equipment abnormal operation indexes are generated by analyzing the difference between goods flow frequency and equipment operation frequency. And the fault prediction module positions the associated storage node based on the index, evaluates the risk level in combination with a historical fault event mapping relationship, and predicts a possible operation fault. And the dynamic strategy module analyzes goods distribution characteristics according to a fault prediction result, calculates goods allocation migration priorities, plans an optimal path, and redistributes goods to low-risk nodes to optimize storage configuration. And the behavior analysis module compares the equipment operation frequencies before and after optimization, identifies an abnormal behavior mode, judges a behavior deviation degree, traces a fault source, and generates an analysis result.

The invention relates to a goods distribution method and device, a storage medium and a program product, and belongs to the technical field of information processing, and the method comprises the steps: determining the number of goods to be distributed to each store; based on the number of the goods of each store, determining a candidate distribution mode of the goods of each store; calculating a first constraint value representing the cargo distribution quantity of the candidate distribution mode under the target dimension, and a second constraint value representing the cargo distribution uniformity of the candidate distribution mode under the target dimension; a target distribution mode of the goods is determined from the candidate distribution modes, the target distribution mode enables the absolute value of the sum of the constraint values of all the stores to be smaller than a threshold value, and the constraint values of the stores comprise the first constraint value and the second constraint value of the stores. Therefore, the cargo distribution result can be optimized.

The invention discloses a cargo circulation and distribution device based on the Internet of Things. The cargo circulation and distribution device comprises a distribution transmission line. The distribution transmission line comprises a second roller conveying line, and the second roller conveying line comprises a first identification assembly, a distribution assembly and a second identification assembly; each of the first identification assembly and the second identification assembly comprises an identification module and a measurement module, the first identification assembly further comprises a first processor, the second identification assembly further comprises a second processor and an Internet of Things terminal, and the distribution assembly comprises a jacking assembly and a driving controller. Each distribution assembly comprises a fluent strip, a sub-controller, a first electric push rod and a second electric push rod, and the upper ends of the first electric push rods and the upper ends of the second electric push rods are rotationally installed in the two ends of the fluent strips. According to the invention, the pause time in the cargo distribution process is eliminated, the cargo circulation distribution efficiency is improved, and the method is suitable for cargo circulation distribution operation of different types of cargos and multiple classification items.

The invention discloses a freight unmanned aerial vehicle distribution station site selection method based on a greedy overlapping circle algorithm, and aims to solve the problem of'last kilometer 'distribution of urban regional cargo transportation. The method comprises the following steps: firstly, determining a freight unmanned aerial vehicle model and a delivery service range according to geographic attributes of a target delivery area, the number and value attributes of delivery packages and the like; then, in combination with a GIS geographic information system, buffer area analysis is carried out on the site selection area of the unmanned aerial vehicle distribution site, and site candidate areas are determined; secondly, by taking minimization of the number of unmanned aerial vehicle distribution stations and the comprehensive distribution distance as optimization targets, constructing an unmanned aerial vehicle distribution station site selection optimization model; and finally, designing a greedy overlapping circle algorithm to solve the unmanned aerial vehicle distribution station site selection optimization model, and obtaining the minimum number and accurate positions of the unmanned aerial vehicle distribution stations. According to the technical scheme, cargo distribution delay caused by ground traffic congestion can be relieved, and the overall efficiency and customer satisfaction of tail-end cargo distribution in urban areas are improved.

The invention relates to a goods dispensing device (100) for selling goods, comprising a storage area (110) configured for storing goods, an operating element (120) comprising a selection device (121) by means of which goods to be removed from the storage area (110) can be selected, and a dispensing device (130) in which goods can be made available for removal from the goods dispensing device (100) and which is arranged adjacent to the operating element (120). The goods dispensing device (100) is configured to remove selected goods from the storage area (110) after release and to make them available for removal in the dispensing device (130).The operating element (120) is attached to at least one first linear guide (140) of the goods dispensing device (100), wherein the at least one first linear guide (140) is movably connected to the goods dispensing device (100) such that the operating element (120) can be brought into an extended state and a non-extended state. In the extended state, the operating element (120) and the storage area (110) are spaced apart from one another, while in the non-extended state, the operating element (120) and the dispensing device (130) are arranged in alignment with one another.

The utility model relates to the technical field of logistics transportation, and discloses a logistics transportation goods distribution shelf which comprises two bottom plates, supporting square rods are fixedly connected to the front sides and the rear sides of the tops of the bottom plates, placing plates are fixedly connected to the sides, close to each other, of the two supporting square rods, and extending baffles are fixedly connected to the tops of the placing plates. Clamping mechanisms are fixedly connected to the left side and the right side of the exterior of the extending baffle correspondingly, and dismounting mechanisms are fixedly connected to the left side and the right side of the exterior of the placing plate correspondingly. The clamping mechanism comprises a connecting frame. According to the goods pushing device, when goods are pushed to the outside of a clamping plate, the clamping plate can slide outside a first spring through a damping block, a fixing frame is made to deform, then a first rotating plate can rotate outside a connecting shaft, the whole clamping plate can move outwards, and therefore the goods are pushed to the outside of the clamping plate; and then the clamping plate can be driven by the damping block to clamp the goods.

The invention relates to a logistics warehouse warehousing management method and device, electronic equipment and a storage medium, and particularly relates to the technical field of logistics management, and the method comprises the steps: obtaining a warehousing forecast list and the storage remaining number of each warehouse, and extracting the warehousing cargo number according to the warehousing forecast list; comparing the storage remaining quantity of the warehouse with the quantity of the warehoused goods to obtain a comparison result; based on the comparison result, judging whether the accommodating quantity of each warehouse is greater than or equal to the quantity of warehoused goods; if yes, recording the warehouse as a planned warehouse; if not, carrying out batch processing on the warehousing goods recorded in the warehousing forecast list; the warehouse-in goods are distributed to a plurality of warehouses with storage conditions, the warehouses with the storage conditions are determined as warehouse-in warehouses, and the positions of the warehouse-in warehouses are different; and based on the warehouse-in goods and the warehouse-in warehouse, generating a warehouse-in plan list. The method has the effect of improving the warehousing planning rate.

The utility model discloses a logistics vehicle cargo loading and filling device which comprises a box body, a plurality of bottom plates are arranged in the box body, partition plates are arranged in sliding grooves, a plurality of limiting holes are formed in the upper portions of the bottom plates, limiting plates are fixedly installed below the partition plates, grooves are formed in the limiting plates, and bearing guide rails are arranged in the box body. A plurality of object supporting plates are arranged in the bearing guide rail, hinges are fixedly installed between the object supporting plates, the fixing shaft comprises a movable installation part pulley and a fixed installation part fixing ring, and the movable installation part pulley is arranged in the bearing guide rail in a sliding and sleeved mode. By means of the structure, a partition plate independent locking mechanism prevents displacement in the transportation process, the collision damage risk of goods is reduced, stacked goods are prevented from collapsing through modular partition, the three-section type folding hinge structure enables the thickness of the folded shelf plate to be greatly reduced, and the shelf plate does not occupy the effective loading space in the folding state.

The invention provides a supply chain logistics distribution system capable of intelligently identifying distribution types. The supply chain logistics distribution system comprises a cargo receiving and information inputting module; and the intelligent distribution type identification module is connected to the output end of the cargo receiving and information input module. According to the supply chain logistics distribution system capable of intelligently identifying the distribution type, the distribution type is identified through the intelligent counterweight type identification module, cargoes are accurately distributed to appropriate distribution channels, the risk of manual misjudgment is greatly reduced, personalized transportation schemes and route plans are formulated according to different distribution types, and the transportation efficiency is improved. Time and cost can be saved to the maximum extent; urgent distribution can quickly respond to customer requirements, and customer satisfaction is improved; in a complex logistics environment, the system can quickly adapt to and make an optimal decision, optimize a transportation route to avoid congestion, shorten distribution time, meet diversified customer requirements and adapt to distribution conditions and processing modes of different types of goods.

The embodiment of the invention relates to a goods channel opening positioning method of a goods distribution cabinet, the goods distribution cabinet and a storage medium, the goods distribution cabinet comprises a first goods channel and a goods taking platform, the first goods channel is used for storing goods to be taken out, and a goods taking identifier is arranged at a preset position of a goods channel opening of the first goods channel; the goods taking platform is used for taking out the goods stored in the first goods channel from the goods channel opening. The method comprises the steps that the first position of the goods channel opening is determined; the object taking platform is controlled to move towards the first position; determining a first actual position of the moved object taking platform on the object taking plane and an object taking position indicated by the object taking identifier sensed by the moved object taking platform; and based on the first actual position and the object taking position, a second actual position of the cargo channel opening on the object taking plane is determined. Therefore, the positioning efficiency of the cargo channel opening can be improved.

The present disclosure relates to a warehouse-out control method and device of goods, and a computer readable storage medium, and relates to the technical fields of intelligent logistics and computers. The method of the present disclosure comprises: generating one or more path set orders according to a plurality of orders in an order pool; generating a picking set order according to the one or more path set orders; picking goods according to the picking set order; automatically distributing the picked goods to storage compartments according to each order corresponding to the picking set order and each path set order, wherein each order corresponds to one or more storage compartments; and sending a delivery task to one or more delivery personnel according to the one or more path set orders.

The invention relates to the technical field of logistics management, and discloses a logistics supply chain management system and method.The logistics supply chain management system comprises cargo warehousing scanning, cargo preliminary sorting, cargo distribution and cargo delivery, and the cargo warehousing scanning comprises a scanning module, a label processing module and a cargo sorting module; the goods preliminary sorting comprises a goods calculation module, a goods label distribution module and a goods sorting module. The goods calculation module is arranged, the goods label distribution module is used for giving labels to the distributed goods at the distribution station within a period of time, and the distribution distances and the distribution volumes are ordered according to rules, so that the goods at the distribution station can be classified and processed more efficiently, and the sorting efficiency of the goods at the distribution station is improved. And meanwhile, sorting and loading can be performed according to a certain rule during loading, so that the distribution efficiency of the logistics supply chain management system is higher, waste of distribution time is reduced, and the cargo distribution efficiency is ensured.

The application relates to the technical field of cold storage warehousing automation, and discloses a cold storage automated warehousing and distribution system. An abnormal behavior monitoring module of the system collects warehousing equipment operation state data and goods storage and taking behavior data in real time, generates equipment abnormal operation indexes by analyzing the difference between goods flow frequency and equipment operation frequency, a fault prediction module positions associated warehousing nodes based on the indexes, evaluates a risk level in combination with a historical fault event mapping relationship, and predicts possible operation faults. A dynamic strategy module analyzes goods distribution characteristics according to the fault prediction result, calculates goods location migration priority and plans an optimal path, and reallocates goods to low-risk nodes to optimize warehousing configuration. A behavior analysis module compares equipment operation frequencies before and after optimization, identifies abnormal behavior modes, determines behavior deviation degrees and traces fault roots, and generates analysis results.

The invention relates to an express delivery vehicle scheduling planning method and device based on hybrid multi-target planning, computer equipment and a storage medium. The method comprises the following steps: acquiring a historical data set of a target cargo collection and distribution center and performing preprocessing; through an MLP neural network and a particle swarm algorithm, predicting the arrival quantity of the target cargo collection and distribution center in a specified time period; establishing constraint conditions according to the arrival quantity of the target cargo collection and distribution center in the specified time period and a pre-acquired constraint condition information set; constructing a hybrid multi-objective planning function based on the own vehicle turnover rate, the vehicle average package number and the total cost; and through a greedy algorithm and a dynamic planning method, solving the mixed multi-objective planning function based on constraint conditions, and outputting an express vehicle scheduling planning scheme. By adopting the method, the problems of inaccurate cargo volume prediction, unreasonable vehicle scheduling and the like can be solved, the logistics transportation efficiency is remarkably improved, and the cost is reduced.

The utility model belongs to the technical field of distribution machines, and particularly relates to a goods distribution machine which is used for automatically outputting goods and comprises a cabinet body and a cabinet door hinged to the cabinet body, the cabinet door is sequentially provided with an interactive control panel, a guide frame and a goods taking opening from top to bottom, and a goods taking bag is arranged on the back of the cabinet door and located at the lower end of the goods taking opening. And a reading plate for inputting goods information is arranged on the goods taking pocket. An inner cavity is formed in the cabinet body, an outer panel connected with the inner side wall of the cabinet body is arranged in the inner cavity, a circulating conveying mechanism electrically connected with the interactive control panel is arranged on the outer panel, and goods are hung at the output end of the circulating conveying mechanism and released downwards under driving of the circulating conveying mechanism. According to the goods issuing machine, the full-automatic process is achieved, the issuing efficiency is greatly improved, and the labor cost is reduced. And the visitor does not need to wait for the manual operation of a waiter, and can complete the receiving of the bracelet only through several simple steps, so that the user experience and satisfaction are improved.