95results about How to "Improve logistics efficiency" patented technology

The invention relates to the technical field of medicine cold-chain logistics, and discloses a medicine cold-chain logistics dynamic data cloud platform and a route analysis method.The cloud platform comprises a data acquisition unit, a preprocessing unit, a data transmission unit, a storage management unit and a route analysis unit. Key data such as temperature, humidity and position are collected in real time through multiple sensors and are subjected to standardized preprocessing, so that the data are comprehensive, real-time and reliable, and a foundation is laid for subsequent analysis. In the aspect of storage management, partition storage is carried out based on time and space dimensions, and the data retrieval and management efficiency is greatly improved; in the aspect of route planning, factors such as time, temperature and humidity, congestion and the like are comprehensively considered, a scientific route cost evaluation function is constructed, costs such as transportation duration, temperature and humidity stability, road conditions and the like are covered, and in combination with a greedy algorithm, the medicine transportation quality can be guaranteed, the cost can be effectively reduced, and the logistics efficiency can be improved.

The invention provides a logistics operation state detection method and device, electronic equipment, a storage medium and a program product, and can be applied to the technical field of computers and the field of warehouse logistics, and the method comprises the steps: obtaining a conveying line operation image; target detection is carried out on the conveying line operation image, a logistics object transported by the conveying line is obtained, and the conveying line operation image comprises a specified conveying line operation area; and the logistics operation state of the conveying line is detected based on the position relation between the logistics object and the operation area of the conveying line.

The invention relates to a shared warehouse-based collaborative vehicle scheduling optimization method, which comprises the following steps of: based on shared warehouse information, grouping warehouses by adopting a clustering algorithm to obtain a plurality of warehouse clusters; wherein the shared warehouse information comprises geographic position distribution and cargo storage amount information of the shared warehouse; in each warehouse cluster, according to real-time road traffic condition information, an ant colony algorithm is adopted to dynamically plan a driving path of a vehicle; in the shared warehouse, according to the layout characteristics of the warehouse and the cargo distribution condition, a genetic algorithm is adopted to optimize the loading and unloading route of the vehicle, and the optimal loading and unloading route is obtained; in the scheduling task execution process, the scheduling strategy is updated in real time through an online learning algorithm according to the cargo distribution change condition. According to the method, the transportation time can be effectively shortened, the scheduling accuracy and real-time performance are improved, the energy consumption is reduced, and the overall logistics efficiency and the scheduling stability are improved.

The invention relates to the technical field of AGV navigation communication, in particular to a navigation communication method and system applied to AGV remote control interruption, and the method is applied to local control after an AGV remote control center breaks down to interrupt control. The method comprises the following steps: generating local navigation activation request information when the AGV detects that the communication quality with a remote control center is reduced to a preset quality level, and sending the local navigation activation request information to a local communication node which is pre-loaded into a scene map; the local communication node receives local navigation activation request information, analyzes and extracts key parameters, and obtains an AGV behavior feature set; the AGV behavior feature set comprises an identity authentication number, a destination coordinate and a real-time position coordinate of the AGV; the path conflict is effectively avoided, the collision risk between the AGVs is reduced, and the safety and stability of the system are improved.

The invention relates to the technical field of aviation cargo station order data processing, and discloses an intelligent information release and management system for port entry and exit business of an aviation cargo station, which comprises the following steps of: firstly, collecting aviation cargo order data from each aviation business system including cargo processing, cargo check-in, cargo sorting, cargo reconfirmation and a waybill management system; features related to order recommendation and matching are extracted from the integrated data, the features comprise cargo types, weights, volumes, destinations, flight time and flight capacities, and features having great influences on recommendation and matching results are screened out by using a feature selection algorithm; an order recommendation model is constructed based on a machine learning algorithm, a flight matching model is constructed by using a classification algorithm, the model is trained and optimized, and the recommendation and matching accuracy and efficiency are improved; and outputting recommendation and matching results. The method can integrate and analyze port entry and exit business data, provides logistics distribution decision support for the aviation cargo station, and improves the resource utilization rate.

The invention relates to the technical field of logistics, in particular to a digital twin network traffic prediction method, device and equipment and a storage medium, and the method comprises the steps: obtaining historical traffic data of a digital twin network of a logistics circulation center, and obtaining traffic training data from the historical traffic data; constructing an initialization model based on the TimeGPT time sequence model, and performing parameter configuration on the initialization model to obtain a basic prediction model; performing training processing on the basic prediction model based on the traffic training data to obtain a traffic prediction model; acquiring updated traffic data from the digital twin network of the logistics circulation center according to a preset period, and performing updating training on the traffic prediction model according to the updated traffic data to obtain an updated traffic prediction model; acquiring real-time traffic data of the digital twin network of the logistics circulation center, and performing traffic prediction based on the updated traffic prediction model and the real-time traffic data to obtain a predicted traffic result; according to the method, the problem of overfitting of the model can be effectively prevented.

The invention discloses an efficient logistics storage scheduling system, and relates to the technical field of logistics storage scheduling, and the technical scheme is that the system comprises a storage scheduling management module, the connection end of the storage scheduling management module is provided with a data analysis optimization module, and the storage scheduling management module comprises an automatic scheduling module and a storage safety and stability guarantee module. The beneficial effects of the system are that through the automatic warehousing operation module, the links of manual operation are reduced, rapid and accurate cargo processing is realized, the overall logistics efficiency is significantly improved, the transportation route can be intelligently optimized according to the real-time order quantity and the transportation demand, and the transportation efficiency is improved. According to the method and the system, the waiting time and the empty driving rate are reduced, the logistics efficiency is further improved, the manpower demand is reduced through automatic and intelligent storage scheduling, the labor cost is reduced, and through real-time inventory state monitoring and accurate demand prediction, inventory overstock and excessive replenishment can be reduced, and the inventory cost is reduced.

The invention discloses a dynamic space-time diagram flow prediction method and system based on course learning, and relates to the technical field of supply chain logistics data analysis, and the method comprises the steps: building a space-time matrix based on historical multi-source data, generating a dynamic adjacent matrix through learning, and carrying out the smooth fusion through combining a static diagram, and forming a dynamic diagram structure. And then space and time features are respectively extracted by using a graph convolutional network and a gating loop unit, and deep interaction and fusion are realized through a bidirectional cross attention mechanism. A multi-dimensional difficulty estimator is innovatively introduced, the prediction difficulty of each training sample is quantified from three dimensions of space, time and time-space coupling, the selection sequence of the training samples is dynamically adjusted based on an adaptive course scheduler, and progressive learning is realized. And finally, feature representation is obtained through global pooling, and multi-step traffic prediction is realized by adopting a parallel independent decoder, so that error accumulation is avoided. According to the invention, prediction precision and model training efficiency in a complex supply chain logistics scene are effectively improved.

The invention discloses an e-commerce logistics monitoring method and system based on big data, and relates to the technical field of logistics management, and the method comprises the following steps: S1, constructing a multi-dimensional data model; s2, acquiring and processing real-time data; s3, performing anomaly detection; s4, decision support of logistics; s5, transparent tracking of logistics is carried out; and S6, dynamically optimizing the logistics strategy. The system comprises function modules corresponding to the operation of each step in the e-commerce logistics monitoring method based on big data. According to the big data-based e-commerce logistics monitoring method and system, by constructing the multi-dimensional data model and the logistics decision support model, efficient processing and analysis of real-time data streams can be realized, abnormal conditions can be identified in time, optimization suggestions can be provided, logistics efficiency and customer satisfaction can be effectively improved, and meanwhile, the method and the system have good application prospects. Through integration of multiple data sources, information islands are eliminated, the accuracy and flexibility of prediction are enhanced, and the overall efficiency of e-commerce logistics management is significantly improved.

The invention discloses a material stacking method and system based on a multi-target genetic algorithm. The method comprises the following steps: after material information is obtained, performing one-to-one correspondence on a material stacking scheme and chromosomes in a multi-target genetic algorithm; calculating corresponding fitness for the material stacking scheme of each chromosome; comparing the non-dominated relations among the chromosomes, and selecting individuals superior to other chromosomes on at least one target to carry out crossover and variation; and an optimal material stacking scheme is determined after crossing and variation. The overall efficiency and safety of logistics circulation in the production and manufacturing process are improved, and more efficient and reliable automatic material management is achieved.

The problem that an existing carrying forklift is difficult to collect cargo information while carrying cargoes is solved. The invention provides an electric carrying vehicle with a tray measuring function and a carried material identification method. The electric carrying vehicle comprises a forklift arm used for lifting materials; the device further comprises an operation table, a supporting structure and an image module. The operation table is fixedly arranged on one side of the supporting structure, and the forklift arm is arranged on the other side of the supporting structure in a sliding mode. A power assembly used for providing lifting power is arranged between the forklift arm and the supporting structure. The image module comprises a first depth camera and a second depth camera; the first depth camera is arranged at the end, away from the supporting structure, of the forklift arm. The second depth camera is arranged at the upper end of the supporting structure; the cargo information is comprehensively recorded while the cargos are carried, and the logistics efficiency is improved.

The present invention relates to the technical field of logistics boxes, and specifically to a logistics carton with a built-in reinforcement frame, wherein two reinforcement frames are arranged inside the carton enclosure, a support plate is fixed between the two reinforcement frames, the surface of the carton enclosure is provided with ventilation holes, the surface of the reinforcement frames is provided with perforations, an assembling plate is inserted into the inner ring surface of the reinforcement frame, a plastic sleeve is fixed on the surface of the assembling plate, and the plastic sleeve is inserted into the ventilation holes; the beneficial effect is: the logistics carton with a built-in reinforcement frame proposed by the present invention, by arranging the reinforcement frame and the support plate inside the carton enclosure, forms a stable frame structure, effectively improves the anti-fall performance of the carton, and prevents deformation or rupture caused by bumps and extrusion.

The invention discloses an intelligent supply chain logistics management method, and the method comprises the steps: generating a multivariate supply feature vector corresponding to a predicted supply time period based on the logistics information of each to-be-scheduled logistics order, inputting the multivariate supply feature vector into a pre-trained supply time prediction model, and outputting the target supply time of the to-be-scheduled order; obtaining a difference value between the order maximum time limit of the to-be-dispatched logistics order and the target supply time of the to-be-dispatched logistics order, taking the difference value as a supply emergency value, and if the supply emergency value is smaller than a preset time threshold, marking the to-be-dispatched logistics order as an abnormal order; and carrying out descending sorting to obtain an abnormal order sequence, and based on the abnormal order sequence, notifying a logistics center to adjust logistics information of the abnormal order sequence, and carrying out distribution on the abnormal order sequence. Therefore, the multivariate supply feature vectors of the to-be-dispatched logistics orders are introduced, the factors influencing the logistics supply time are considered in multiple dimensions, the accuracy of the prediction model is improved, and the prediction model can dynamically adapt to the actual change of supply chain logistics.

The invention relates to the technical field of data management, and discloses a cross-border e-commerce service data management method, which comprises the following steps: obtaining service data about cross-border e-commerce, and carrying out data fusion on the service data to obtain fused data; performing data expansion on the fused data to obtain expanded data, taking the expanded data as target data, and analyzing a commodity demand trend of cross-border e-commerce by using the target data; constructing a commodity supply chain network of the cross-border e-commerce, performing data supplement on the commodity supply chain network to obtain a target network, and constructing a logistics supply strategy of the cross-border e-commerce by using the target network; and querying a supply user of the cross-border e-commerce, formulating a personalized marketing strategy about the supply user, and constructing a management report of the service data based on the logistics supply strategy and the personalized marketing strategy. According to the invention, the marketing management level of the service data of cross-border e-commerce can be improved.

The invention belongs to the technical field of workpiece conveying, particularly relates to a cleaning workshop feeding device capable of preventing logistics interference, and provides the following scheme aiming at the problems that workpieces are directly placed on a lifting table in the existing using process, and the workpieces can shake and fall off easily in the moving process. The oil scraping device comprises a plurality of oil scraping stations arranged in a stamping workshop and a conveyor erected on the top of a cleaning workshop, the other end of the conveyor extends into the stamping workshop, a deburring station is arranged on one side of each oil scraping station, a lifting machine is arranged on one side of each deburring station, and the lifting machine is arranged on the other side of each deburring station. The discharge ends of the plurality of elevators correspond to the conveyor and are used for conveying workpieces into a cleaning workshop; according to the workpiece lifting device, the workpieces can be moved into the cleaning equipment without adopting a manual transportation mode, the machining efficiency can be effectively improved, the lifting process is more stable, and the workpieces can be automatically pushed to move to the conveyor in the workpiece fixing process.

The present invention relates to the field of logistics freight accounting technology, and in particular to a system and method for intelligent logistics freight accounting for cross-border e-commerce. The method collects logistics data through APIs and integrates customs and logistics company information; obtains tax data in real time, and uses genetic algorithms to optimize transportation plans; uses machine learning to build a dynamic cost model for preliminary cost estimation; establishes a risk assessment mechanism to monitor freight influencing factors; during transportation, uses geographic information systems and blockchain technology to achieve transparent tracking and cost feedback; after the goods arrive, the final cost accounting is performed based on the actual transportation data; optimizes the logistics process through deep learning methods, and iteratively updates the cost model and transportation strategy. The present invention not only improves the logistics and transportation efficiency of cross-border e-commerce, but also effectively controls transportation costs, and improves the transparency and predictability of the operation of the entire supply chain.

The invention belongs to the field of rail transit transportation, and particularly relates to a cargo multimodal transport system integrating high-speed rail express transportation and subway distribution. Comprising a high-speed rail trunk line transportation subsystem for cargo transportation between two cities, an urban underground distribution subsystem, node infrastructures communicating the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem, and carrying equipment for realizing cargo transportation of the high-speed rail trunk line transportation subsystem and the urban underground distribution subsystem. According to the invention, adverse effects of freight activities on subway passenger service can be avoided; a traditional traffic mode is effectively promoted to be upgraded and transformed to be efficient, intelligent and integrated, and therefore the rapidly-increased differentiated transportation service requirements are met.

The invention provides an information processing method and device, a storage medium and electronic equipment, and relates to the field of intelligent logistics and the field of artificial intelligence. The method comprises the steps that a logistics bill feedback message sent by a client side is analyzed, logistics bill defect information is obtained, and the logistics bill defect information represents the defect of a target logistics bill corresponding to the logistics bill feedback message; determining a target defect type of the target logistics order according to the logistics order defect information; determining a target server corresponding to the target defect type; generating a target logistics bill defect feedback message according to the target defect type and the logistics bill defect information; and sending the target logistics sheet defect feedback message to the target server.

The invention provides an intelligent logistics information management system, and relates to the technical field of logistics information, and the system comprises an order management system which is responsible for processing the creation, adjustment, tracking and query of customer orders; the warehouse management system is responsible for managing the internal condition of the warehouse; the intelligent distribution system is used for integrating and analyzing work order information by receiving the work orders of the order management system; the intelligent transportation system formulates a transportation plan according to the intelligent scheduling result; the logistics financial system is used for carrying out financing, payment, expense accounting, cost control, publishing management and financial statement management on the logistics process through financial means; the customer relationship management system is responsible for processing customer information, feeding back online problems and providing customer services; through arrangement of the order management system, the intelligent distribution system and the intelligent transportation system, transportation time and labor cost are reduced, logistics efficiency is improved, enterprise digital transformation is realized, and industrial upgrading is promoted.

The utility model belongs to the technical field of logistics, and discloses a goods storing and taking system. The goods storing and taking system comprises a goods shelf and a goods taking and placing device, the goods shelf is provided with a storage unit, the storage unit comprises a plurality of rows of storage spaces arranged in the vertical direction, and each row of storage space comprises a plurality of storage positions arranged side by side; each storage unit is provided with at least two goods taking and placing devices, the at least two goods taking and placing devices are main goods taking and placing devices with main taking and placing areas, and all the main taking and placing areas are sequentially arranged from top to bottom and jointly cover all the storage spaces of the corresponding storage units. Every two adjacent main pick-and-place areas jointly cover at least one row of storage space and form a first public pick-and-place area, and the main goods pick-and-place device can walk along the surface of a goods shelf so as to pick and place goods at any storage position in the corresponding main pick-and-place area. According to the goods storing and taking system, the warehouse logistics efficiency can be improved, the warehouse density is improved, and the reliability and safety of goods in and out of a warehouse are improved.

The utility model belongs to production packaging field especially, and it is epoxy resin production packaging equipment, aiming at the problem that the existing equipment cannot carry out effective leveling treatment to the packaging bag containing epoxy resin, leads to uneven distribution of material in the packaging bag, many surface wrinkles, inconvenient subsequent stacking and transportation, the present scheme is proposed, it includes conveyer and sewing machine, the conveyer side places frame, the top fixed setting of frame near conveyer place is provided with the fender, be provided with leveling assembly on the frame, and the leveling assembly is used to the packaging bag containing epoxy resin is shaken and is flattened compaction. The utility model leveling assembly passes through drive motor and drives the round bar and the rectangular roller to shake the packaging bag, makes epoxy resin even distribution, again through hydraulic cylinder and promotes the lower pressure frame and the rotary roller compaction, eliminates the wrinkle, makes the packaging bag flat and compact, is favorable to subsequent stacking and is neat and stable, reduces the risk of collapse, also is convenient for transportation and is piled up and is fixed, promotes the logistics efficiency.

The invention discloses a goods taking and delivering track design method for a multi-network-connected unmanned aerial vehicle logistics system. The method comprises the following steps: acquiring a radio map, unmanned aerial vehicle speeds, the number of unmanned aerial vehicles and access position nodes of the unmanned aerial vehicles; and calculating an optimal path matrix and an effective path matrix through the radio map, the unmanned aerial vehicle speed, the unmanned aerial vehicle number and the access position nodes of the unmanned aerial vehicles, and calculating a multi-unmanned aerial vehicle access sequence track by adopting the unmanned aerial vehicle number, the optimal path matrix and the effective path matrix. According to the method, factors of distance, time and power consumption are comprehensively considered, and an optimal path between multiple unmanned aerial vehicle access position nodes is calculated; and then a multi-unmanned aerial vehicle access sequence trajectory is calculated by adopting an unmanned aerial vehicle user group pairing scheme, so that the multi-unmanned aerial vehicle flight trajectory design is optimized, and the unmanned aerial vehicle logistics efficiency is improved under the limited unmanned aerial vehicle cruising ability.

The invention provides a logistics management optimization method and system based on the Internet of Things, and relates to the technical field of logistics management. The method comprises the following steps: acquiring cargo order information of a plurality of cargo orders in a preset optimization time period; according to the delivery addresses, obtaining transportation routes and transportation distances of a plurality of cargo orders; in a plurality of transportation dates, obtaining weather forecast information of a plurality of cargo orders on the transportation route; according to the weather forecast information, the transportation distance, the cargo weight and the cargo quantity, determining a predicted transportation day number; obtaining the number of remaining days from the current date to the delivery date required by the client; determining a cargo emergency result according to the predicted number of transportation days and the number of remaining days; and according to the cargo emergency result and the order placing time, determining the cargo which is transported preferentially in a preset optimization time period. According to the method and the device, the cargo emergency result can be accurately analyzed, so that the cargo transportation sequence is optimized, and the logistics efficiency is improved.

The utility model discloses a foldable circulating logistics box structure which comprises a bottom plate, vertical plates are symmetrically arranged on the upper portion and the lower portion of the two sides of the bottom plate, tongue plates are symmetrically arranged on the left side and the right side of each vertical plate, a supporting plate is arranged on the vertical plate located on the upper side, and an auxiliary supporting plate is arranged on the supporting plate. When the logistics box is used, all the parts are folded and spliced together, when the logistics box is not used, the logistics box is folded and unfolded to be in a flat plate shape, the requirement for storage space is greatly reduced, the cost and occupied space for transporting empty boxes are reduced, the logistics efficiency can be improved, and the box is usually made of recyclable materials such as polypropylene and is convenient to use. The plastic waste and environmental pollution can be reduced, through recycling, the requirement for new raw materials is reduced, the concept of sustainable development is met, the intelligent lock catch is used, the adhesive tape is prevented from being used, no discarded part is used, and the environment-friendly and recycling effects are achieved.

The utility model discloses a carton paging FRID (radio frequency identification) electronic tag plane labeling machine which mainly comprises a rack, a paging component, a label conveying device, a labeling device, an RFID reader-writer, a code reading detection component, a removing conveying component and a collecting conveying component. The paging part is located on the left side of the equipment, and the labeling conveying part is installed above the rack and connected with an outlet of the paging part. And the labeling device is mounted above the label conveying device. And the RFID reader-writer is fixedly mounted on the right side of the labeling device. The code reading detection assembly is fixedly installed below the labeling conveying assembly. An inlet of the removing conveying component is connected with a label conveying outlet, and the collecting conveying component is located on the right side of the removing conveying component. According to the labeling conveying device, the labeling conveying number can be increased or decreased according to requirements by labeling conveying users, so that the labeling device is suitable for labeling cartons with different areas. Through the swinging removing conveying component, defective products are removed accurately and timely, the production efficiency is improved, and real-time monitoring and tracking, safe anti-counterfeiting and traceability of packaged products are achieved.

The utility model provides an automatic intelligent palletizing device for pallets, which relates to the technical field of palletizing devices, and comprises a frame body mechanism, a placing mechanism is fixedly mounted at the top of the frame body mechanism, the placing mechanism comprises a top frame, a group of clamping grooves are preset in the top frame, and an inner plate is movably embedded in the inner surface wall of the group of clamping grooves. According to the tray conveying device, under the mutual cooperation of the frame body mechanism and the placing mechanism, when the tray conveying device is used, the two chain type conveying belts can be kept to rotate in the same direction and at the same frequency under the driving of the two sets of motors and with the two sets of gears as transmission media, and therefore the trays can be moved; and when the trays move to the bottom of the placing mechanism, the trays are jacked up under the mutual transmission of all assemblies in the placing mechanism, then the multiple trays are stacked layer by layer, the stacking operation is automatically completed through the treatment mode, manual intervention is not needed, and the logistics and production efficiency is greatly improved.

The application provides a logistics data processing method and device based on multi-agent cooperation, equipment, medium and computer program product, relating to the technical field of logistics. The method comprises: obtaining user order information, generating a logistics task according to the user order information; decomposing the parsed logistics task into multiple sub-tasks; receiving sub-agent information fed back by each sub-agent; making a decision based on the multiple sub-tasks, the state information of each sub-agent and the task processing type information, and determining a target sub-agent; sending the sub-tasks to each target sub-agent through a first protocol, so that each target sub-agent generates corresponding sub-task execution results based on the sub-tasks and the execution results of the previous sub-tasks in a predetermined order, until the last target sub-agent generates a target sub-task execution result. The embodiments provided by the application can more effectively coordinate and manage logistics resources, improve logistics efficiency, reduce logistics cost and improve logistics service quality.

The invention provides an intelligent logistics digital operation platform, relates to the technical field of logistics information management, and is characterized in that the intelligent logistics digital operation platform comprises a merchant / client, a platform operation end, a carrier end and a driver end; the merchant / client and the platform operation end can both obtain logistics information uploaded by the carrier end and the driver end, and organize and gather the logistics information; the platform operation end identifies, lists and arranges the information data of each terminal by receiving the information data of each terminal, and assigns orders; the carrier end can further subdivide order distribution data through the driver end and check and record corresponding logistics data information, and the driver end can identify the information of the goods and upload the information to logistics tracking when transferring the goods in or out; the driver end can obtain transportation route information and can match similar on-road order information according to the self positioning position, and a driver can judge and plan a logistics route by himself / herself. The logistics information synchronization method has the advantages that the logistics information synchronization efficiency is improved, the operation is simplified, and the use is convenient.

The application discloses a conveying system, and belongs to the technical field of mechanical transmission. The technical scheme points of the conveying system are as follows: a plurality of conveying modules are used to form a plurality of goods transportation production lines; the conveying module comprises a stacking straight rail, a cross chain, a follow-up push rod and a load trolley group; a driving module drives the cross chain; a rotating module is arranged at the tail end of the stacking straight rail and is used for realizing the steering of the load trolley group; a first pusher is arranged beside the rotating module and is used for pushing the load trolley group to pass through the rotating module; a translation row is arranged and is used for transferring the load trolley group after steering; a detection module is arranged and is used for detecting the in-out state of the load trolley group; and a control module is electrically connected with each module. The conveying system further comprises a parking channel, a retreat stopping device, an opening device, a positioning device, a cross module and a bracket device. The conveying system has the technical effects that goods can be efficiently conveyed, the load trolley group can stably run and steer at different positions of the production line, and the conveying system can work smoothly.

The material transfer device comprises a material transfer trolley and a bearing tray, the material transfer trolley comprises a rectangular tray type trolley body and wheels arranged at the bottom of the rectangular tray type trolley body, and the bearing tray is provided with a trolley track matched with the material transfer trolley. A fork groove matched with a fork arm of the intelligent transfer robot is formed in the bottom of the trolley track, sliding ways matched with wheels of the material transfer trolley are arranged on two side wings of the trolley track respectively, and a baffle higher than the track surface is arranged at the rear end of the bearing tray. And a locking mechanism is arranged on the rail surface close to the front end of the trolley rail. By the adoption of the material transfer device, manpower, material resources and sites can be obviously saved, the logistics efficiency is obviously improved, the labor intensity of related workers can be greatly reduced, the safety risk is reduced, and the material transfer device has important significance and industrial application value for improving the AGV automatic carrying efficiency.