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329 results about "Smart logistics" patented technology
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E-commerce supply chain intelligent scheduling optimization system and method based on big data
The invention discloses an e-commerce supply chain intelligent scheduling optimization system and method based on big data, and relates to the field of intelligent logistics scheduling, and the system comprises a demand prediction module, a balance optimization module, a path optimization module, a collaborative replenishment module and a feedback driving module. According to the method, the deep learning model and the time sequence decomposition method are combined, and multi-level modeling is performed on the historical order data and the real-time sales data, so that supply chain imbalance caused by prediction deviation is avoided. A dynamic replenishment plan is generated based on the prediction result and the inventory early warning information, real-time matching of the inventory and the demand is achieved, the stockout rate and inventory redundancy are effectively reduced, and the storage resource utilization rate is improved. By establishing the multi-constraint path optimization model and comprehensively considering order distribution, vehicle load and real-time traffic data, the distribution path can be dynamically adjusted, the vehicle utilization rate and the distribution time efficiency are improved, and the energy consumption and the cost caused by empty driving and detour are reduced.
Owner:ZHEJIANG BUSINESS TECH INST
Waste recovery vehicle dynamic scheduling system and method based on AI algorithm
ActiveCN121279736AMeasurement devicesCharacter and pattern recognitionVehicle dynamicsLogistics management
The invention discloses a waste recovery vehicle dynamic scheduling system and method based on an AI algorithm, and belongs to the field of intelligent logistics. The system comprises a task analysis module, a vehicle state sensing module, an AI scheduling core module and the like. The task analysis module identifies waste categories through an attention mechanism U-Net algorithm, and generates a task parameter set containing priorities; the vehicle state sensing module outputs accurate vehicle data through a Kalman filtering algorithm; the AI scheduling core module takes the task completion rate, the energy consumption and the carbon emission reduction as targets, and outputs a scheduling instruction through a multi-target optimization model and an improved Dijkstra algorithm; the data feedback module calculates the carbon emission reduction according to the Sichuan local standard and updates the model; the problems of poor scene adaptation and high energy consumption in the prior art are solved, the task completion rate is increased by 25%, the empty driving rate is reduced by 18%, and technical support is provided for the dual-carbon target.
Owner:SICHUAN YINGU CARBON RENEWABLE RESOURCES CO LTD
Digital twin-driven distributed warehousing system and method
PendingCN121860532AExtremely flexibleShorten the deployment cycleResourcesMachine learningOptimal decisionBottleneck
The invention relates to a digital twin-driven distributed warehousing system and method, and belongs to the technical field of intelligent logistics. The system comprises a sensing execution layer, a network transmission layer, an edge computing layer, a cloud platform layer and an application service layer. The method comprises the following steps: acquiring storage physical entity data through a perception execution layer; the data is transmitted to the edge computing layer and the cloud platform layer through the network transmission layer; in the cloud platform layer, a high-fidelity virtual warehouse is constructed and synchronized through a digital twin engine; using a multi-agent reinforcement learning algorithm to perform centralized training in a digital twin environment to generate a distributed cooperative scheduling strategy; and issuing the strategy to an edge computing layer and a sensing execution layer, and driving an autonomous mobile robot cluster to execute a cooperative task. According to the invention, step-type improvement of the warehousing system in flexibility, intelligence and cooperative capability is realized, and the problems of rigid bottleneck, non-optimal decision and low cooperative efficiency of a traditional system are solved.
Owner:TIANJIN TIANDY DIGITAL TECH
Logistics distribution deployment and rider operation management system
The invention discloses a logistics distribution deployment and rider operation management system, which relates to the technical field of intelligent logistics, and comprises a time sequence observation module, a causal analysis module, a conflict extraction module, a sequence construction module, a scheduling agent module and a beat regulation and control module, a scheduling beat, resource lock delay and a memory access sequence are collected, and a priority drift distribution diagram is generated; and the causal analysis module is used for constructing a time-space mapping structure dependent on topology based on the priority drift distribution diagram, performing time sequence correlation analysis of task paths, identifying a causal chain and determining race trigger nodes. According to the method, scheduling abnormal root cause identification is realized through time sequence observation, causal analysis and conflict fingerprint extraction, the consistency of a task sequence and resources is guaranteed in combination with monotonic task sequence construction and double-track scheduling control, dynamic balance of scheduling priorities is realized through beat reconstruction, and the stability and controllability of logistics scheduling in a high-concurrency environment are remarkably improved.
Owner:DIAS (CHONGQING) LOGISTICS CO LTD
Intelligent logistics log anomaly detection method based on block chain and space-time compression traceability graph
The invention relates to an intelligent logistics log anomaly detection method based on a block chain and a space-time compression traceability graph, and the method specifically comprises the following steps: S1, collecting multi-source heterogeneous log data in an intelligent logistics ecosystem, S2, employing a traceability graph space-time compression algorithm based on space-time position coding and abnormal chain mapping, and carrying out abnormal chain mapping on the multi-source heterogeneous log data; the method comprises the steps of S1, obtaining an initial full-amount traceability graph, S2, processing the initial full-amount traceability graph to construct a compressed traceability graph, S3, calculating a topological Hash fingerprint based on a space-time compressed traceability graph feature tensor, S4, inputting the space-time compressed traceability graph feature tensor into a pre-trained space-time twinning anomaly detection model, and S5, responding to a detected anomaly root cause, and obtaining a time-space twinning anomaly detection result. Triggering a multi-dimensional reputation evaluation mechanism in the smart contract; according to the method, the entity alignment error rate in the graph construction stage is remarkably reduced, the causal integrity of the initial traceability graph is ensured, and the problem that heterogeneous logs are difficult to analyze is solved.
Owner:NANJING UNIV OF POSTS & TELECOMM
Freight logistics track abnormity processing method and system
The invention discloses a freight logistics track abnormity processing method and system, and belongs to the technical field of intelligent logistics monitoring, and the method comprises the steps: obtaining a track original data set of a target freight vehicle; constructing a behavior evolution model based on the historical trajectory data, wherein the behavior evolution model is used for describing conventional operation boundaries of the vehicle under different road types and time periods; performing multi-source fusion correction on the trajectory data to generate a trajectory point sequence; calculating credibility factors of the track points based on GPS stability, historical track goodness of fit and road matching degree; constructing an anomaly judgment graph, and generating an anomaly distribution function by adopting a recursive scoring mechanism; identifying a track abnormal fragment based on a dynamic adaptive threshold value and outputting an abnormal label; generating a scheduling suggestion according to the abnormal label and a vehicle scheduling rule, and pushing the scheduling suggestion to a vehicle-mounted system in real time; according to the invention, individuation, high precision and real-time performance of track abnormity identification are realized, and the method is suitable for an intelligent logistics management and dynamic scheduling system in a complex scene.
Owner:XIAN HUODA NETWORK TECH CO LTD
Intelligent stowage service method for import and export multimodal transport based on hybrid planning algorithm
The invention relates to the technical field of intelligent logistics and operation planning optimization, and discloses an import and export multimodal transport intelligent stowage service method based on a hybrid planning algorithm, which comprises the following steps: establishing an intermodal transport node operation impact database and an intermodal transport network diagram, and defining a node stacking operation state set; according to the force transmission attribute of the corner column of the container, the discrete stacking hierarchy is mapped into vertical pre-pressure, and the node working condition inherent frequency of the container-cargo combination is calculated through a pre-pressure and rigidity correlation model; in combination with node pulse dominant frequency data, constructing a response gain index including resonance interval intensity and parameter fluctuation sensitivity; and establishing a multimodal transport stowage optimization model, bringing the index into a target function, and carrying out collaborative solution on a cargo loading layout, a transport link and a node stacking level. Resonance risks caused by discrete stacking and lateral impact coupling can be effectively recognized and avoided, and a stowage scheme with high structural safety is output.
Owner:TUOPU SILU (NANJING) TECH CO LTD
Multifunctional goods tracking method based on RFID
InactiveCN121329261ACo-operative working arrangementsMachine learningData synchronizationVibration acceleration
The invention relates to the technical field of radio frequency identification and intelligent logistics management, in particular to a multifunctional cargo tracking method based on RFID, which comprises the following steps: step 1, cargo binding and data synchronous acquisition: acquiring cargo state parameters through an RFID tag integrated with multiple sensors, and when a reader-writer transmits a query instruction, sending a query instruction to the reader-writer; synchronously acquiring a temperature value, a humidity value and a three-axis vibration acceleration, and packaging the temperature value, the humidity value and the three-axis vibration acceleration with a cargo identity code and a timestamp into a combined data unit; 2, dynamic environment interference suppression; step 3, mobile scene routing optimization: acquiring the moving speed of the carrier in real time, dynamically calculating an optimal query interval by combining with an environment interference coefficient, and transmitting a query instruction according to an interval period; and 4, multi-dimensional state fusion verification is carried out. Through innovative measures of multi-sensor integration, dynamic environment compensation, mobile scene optimization and the like, the accuracy, stability and intelligent level of cargo tracking are effectively improved.
Owner:WEIFANG UNIV OF SCI & TECH +1
Unmanned aerial vehicle relay cooperative control method and system based on intelligent lamp pole network
PendingCN122044212AVehicle position/course/altitude controlProgramme total factory controlLogistics managementSimulation
The invention discloses an unmanned aerial vehicle relay cooperative control method and system based on a smart lamp pole network, and relates to the technical field of smart city low-altitude logistics, and the method comprises the steps: constructing a smart lamp pole holographic node map comprising a parking space, a charging state and a smart logistics transfer unit state; performing flight flow field inversion by using an unmanned aerial vehicle as a mobile probe, generating a dynamic energy potential topology network containing an environmental impedance factor, and realizing self-evolution of a road network weight; asynchronous relay planning is executed based on space-time decoupling, and a long-distance task is decomposed into independent short-distance sub-tasks; the upstream unmanned aerial vehicle is controlled to deliver the goods to the transfer unit through cooperative scheduling and then leave the field, the downstream unmanned aerial vehicle carries out asynchronous extraction, transport capacity time sequence decoupling is achieved by introducing the intelligent logistics transfer unit, and the chain type waiting effect is eliminated; and a micro-meteorological flow field is inverted by utilizing crowd sensing, a high-energy-consumption risk path is automatically avoided, and the throughput and the safety of a low-altitude logistics network are remarkably improved.
Owner:WUXI LIGHTING
Material collaborative distribution method in electric forklift assembling process
The invention provides a material collaborative distribution method in an electric forklift assembly process, and relates to the technical field of intelligent logistics and production management, and the method comprises the steps: obtaining the material demand prediction data of each station through employing a time-phased material consumption prediction model based on the material demand information of an electric forklift assembly station; and in combination with the material storage position information, a cooperative distribution path of multiple distribution vehicles is calculated by adopting an improved ant colony algorithm, the cooperative distribution path is decomposed according to the material distribution emergency degree, a material distribution task sequence is generated, and distribution task adjustment is performed in a task interaction area by adopting a bidirectional matching algorithm. According to the method, distribution path planning and task dynamic adjustment are optimized, and task interaction area resources are fully utilized, so that the problems of insufficient prediction precision, poor path optimization effect and low distribution resource utilization rate in the prior art are effectively solved.
Owner:HUBEI ZHONGLI MASCH CO LTD
Warehouse logistics AGV and unmanned aerial vehicle cooperative scheduling system
InactiveCN121785370AVehicle position/course/altitude controlPosition/direction controlLogistics managementUncrewed vehicle
The invention discloses a warehouse logistics AGV and unmanned aerial vehicle cooperative scheduling system, and relates to the technical field of intelligent logistics scheduling, the system comprises a plurality of AGVs, unmanned aerial vehicles and a warehouse internal communication network, an intelligent docking platform is integrated at the tops of the AGVs, the AGV comprises an LED array beacon, a UWB accurate positioning module, a mechanical self-locking or electromagnetic adsorption mechanism and a wireless communication module, and the AGV and the unmanned aerial vehicle are connected through a distributed negotiation decision protocol. The AGV and the unmanned aerial vehicle can perform autonomous cooperative scheduling, after a demand side broadcasts a cooperative request data packet, an idle device calculates cooperative cost based on the state of the idle device and replies an intention response, the demand side selects a cooperative partner according to a preset rule, the cooperative partner and the cooperative partner determine a temporary convergence point through a dynamic convergence point algorithm, and the AGV drives to the convergence point and lights an LED array beacon. The unmanned aerial vehicle flies to a convergence point, visual identification and UWB positioning are fused to achieve accurate approaching, and finally butt joint and fixing are completed through a mechanical self-locking or electromagnetic adsorption mechanism, and cargo transfer is executed.
Owner:SICHUAN ZHENGGE TECHNOLOGY CO LTD
Cross-border multimodal transport path dynamic planning method and device, equipment and storage medium
The invention is suitable for the technical field of intelligent logistics scheduling, and provides a cross-border multimodal transport path dynamic planning method, device and equipment and a storage medium. Multi-source real-time data is acquired and fused, policy information in the multi-source real-time data is analyzed and quantified, and the real-time data is obtained; according to the method, an unstructured policy text is converted into a dynamic constraint condition which can be understood by a multi-objective optimization model, so that dynamic optimization of path planning is realized, changes of an external policy environment can be responded in real time, a generated path scheme achieves a better balance in multiple objectives such as compliance, cost and timeliness, and the path planning efficiency is improved. And the accuracy, timeliness and anti-risk capability of the planning result are improved.
Owner:SHENZHEN MINGXIN DIGITAL TECH CO LTD
Multi-modal sensing and edge intelligent decision-making self-adaptive feeding system and method
The invention discloses a multi-modal sensing and edge intelligent decision-making self-adaptive feeding system and method, and relates to the technical field of intelligent logistics equipment, industrial automation and information physical systems, a visual system module is combined with distance measurement, weighing and recognition detection units of a sensor module, multi-modal sensing of the material state and environment is achieved, and intelligent edge decision making is achieved. The edge decision module dynamically optimizes feeding parameters based on reinforcement learning, the edge prediction maintenance module guarantees equipment health, and the system execution module achieves accurate control and cleaning. The feeding method comprises the steps of multi-modal data synchronous acquisition, digital twin model real-time updating, AI multi-target optimization decision making, multi-actuator cooperative action, industrial Internet of Things cooperative interaction and feedback-based iterative optimization, and multi-modal sensing, edge intelligent decision making and accurate execution are fused. Self-sensing, self-decision-making, self-execution and self-optimization in the feeding process are achieved, the feeding efficiency and quality are improved, and accidental shutdown and comprehensive cost are reduced.
Owner:CHANGZHOU HENGDE AUTO PARTS CO LTD
Forklift tail end butt joint pallet recognition method based on point cloud noise reduction processing
The invention relates to the technical field of intelligent logistics recognition, in particular to a forklift tail end butt joint pallet recognition method based on point cloud noise reduction processing. Identifying a two-dimensional image of a target forklift pallet area by using a Mamba-YOLO model, and obtaining a three-dimensional point cloud model of the pallet; screening point clouds in the three-dimensional point cloud model to obtain preferred point clouds, and establishing an initial set according to the preferred point clouds; fitting the initial set to obtain an initial fitting plane; obtaining an error distance of each three-dimensional point cloud, and screening out inner points and outer points of the initial fitting plane according to the error distances; the initial set is expanded in a set mode, iteration is carried out in sequence, and a cost function value of each fitting plane is obtained according to weighted residual errors of all inner points and outer points in the fitting plane obtained after each time of iteration; and obtaining an inner point in the fitting plane with the minimum cost function value, and carrying out fitting to obtain a pallet plane. According to the invention, the pallet identification efficiency can be effectively improved on the basis of ensuring the identification precision.
Owner:萨牌智能驱动技术(河北)有限公司
Waybill processing method and device, equipment, medium and program product
PendingCN121882842AOffice automationRecord carriers used with machinesLogistics managementThe Internet
The invention provides a waybill processing method and device, equipment, a medium and a program product. Relates to the field of warehouse logistics, in particular to the fields of Internet of Things, intelligent logistics and the like. The method comprises the steps that in response to a label printing instruction for a received commodity in a multi-package order, a package label of the received commodity is generated according to recorded package attribute information for the received commodity, and the package label is used for being pasted to a received package of the received commodity in an order collection link; reading the number of all received packages in the multi-package order under the condition that the state of the multi-package order is determined to be an order combining state, and obtaining the total package number of the multi-package order; according to the total parcel number, waybill labels for all the received parcels are generated, and the waybill labels are used for replacing parcel labels in the order transfer link and pasting the parcel labels to the received parcels.
Owner:BEIJING JINGDONG YUANSHENG TECH CO LTD
Multimodal transport goods source allocation system based on data analysis
The invention relates to the technical field of intelligent logistics and transportation management, and particularly discloses a multimodal transport goods source allocation system based on data analysis. The system comprises a data access and fusion module, a data quality governance and enhancement module, a time-space association and flow calculation module, a critical path and hub identification module and a dynamic transport capacity allocation decision module, and multi-source data integration, quality governance, time sequence association verification, critical path identification and dynamic transport capacity allocation are carried out. The accurate description of the flow direction of the goods source and the dynamic adaptation of the transport capacity resources are realized, and the operation efficiency and reliability of the multimodal transport system are improved.
Owner:NANJING ELECTRONIC PORT CO LTD
SMART LOGISTICS VEHICLE FOR DETECTING THE LOCATION OF ASSETS
Owner:UNITED PARCEL SERVICE OF AMERICAN INC
Bus station intelligent cabin device integrated with multifunctional use scene of low-altitude aircraft
The invention belongs to the technical field of smart city infrastructure, and discloses a bus station smart cabin device integrated with a low-altitude aircraft multifunctional use scenario, which comprises a smart cabin, a low-altitude aircraft support system, a smart logistics system, a smart traffic management system and a power supply system, and is characterized in that the smart cabin comprises a passenger service area and a functional area; a parking platform is arranged in the functional area; the low-altitude aircraft support system comprises a navigation module, an obstacle avoidance module, a communication module and an energy management module; the intelligent logistics system comprises an intelligent sorting module, a distribution module and a data management platform. The intelligent traffic management system comprises a traffic monitoring module and a data analysis module. The system has the beneficial effects that multiple functions are creatively integrated into a whole, and the system adapts to the intelligent construction requirements of infrastructures of different cities; good economic benefits, social benefits and environmental benefits can be generated, and the method has a wide application prospect.
Owner:NANJING UNIV +1
Suspension type logistics conveying device
The invention belongs to the technical field of intelligent logistics conveying, and particularly relates to a suspension type logistics conveying device which comprises a track section, a traction rope penetrates through the interior of the track section, the outer side of the traction rope can be connected with a traction mechanism, multiple sets of connecting blocks are slidably connected to the interior of the track section, and the connecting blocks are slidably connected to the exterior of the traction rope. Supporting wheels are rotationally connected to the two sides of the bottom end of the connecting block, a moving motor is installed on one side of the connecting block, a connecting plate is fixed to the bottom end of the connecting block, a connecting frame is rotationally connected to the bottom end of the connecting plate, and a conveying hook is rotationally connected to the connecting frame; the package is weighed through the lifting hook and the feeding motor, when the weight is high, the two connecting blocks are controlled to be close to each other, the two conveying hooks suspend a suspension belt of the package at the same time, and the weight of the single connecting block can be shared, so that the weight cannot be concentrated on a single position, the weight borne by a single point of a track section is reduced, and the production efficiency is improved. And the abrasion and damage speed of the track section is reduced.
Owner:广州创和装备股份有限公司
Logistics management and control method, apparatus and device, and storage medium
The invention relates to the technical field of intelligent logistics, in particular to a logistics management and control method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining user demand input data, then carrying out the type recognition of the user demand input data, obtaining a type recognition result, and when the type recognition result is a natural language text, carrying out the recognition of the user demand input data; a pre-trained large language model is called to conduct semantic judgment processing on a natural language text to obtain a judgment result, the natural language text is used for contraband query, and when the type recognition result is a mixed text, a pre-trained natural language processing model is called to conduct semantic structuring processing on the mixed text to obtain structured data; the mixed text is used for expressing a collection data processing intention, then the judgment result or the structured data is calibrated to obtain a calibration result, and finally the calibration result is visualized to obtain visualized data, so that accurate intention analysis of fuzzified and non-standardized statements is realized.
Owner:SHANGHAI DONGPU INFORMATION TECH CO LTD
An automated intelligent logistics warehouse shelving device
Owner:昆山百毅豪工业设备有限公司
A digital twin cold chain management method and system based on multi-dimensional operation algorithms
This invention discloses a digital twin cold chain management method and system based on a multi-dimensional operation algorithm, belonging to the field of smart logistics and digital twin technology. By constructing a digital twin model of the cold chain, a physical foundation is provided for the digital twin simulation of cold chain operation, facilitating the simulation and generation of cold chain management and operation strategies. Furthermore, a cold chain operation target management model is constructed using a multi-dimensional operation algorithm, comprising multiple sub-models for cold chain operation target management. This allows for responses to different operational scenarios based on different sub-models, achieving adaptation and compatibility across multiple operational scenarios, resulting in more accurate and targeted operational strategies. In addition, the operational scenario judgment layer of the cold chain operation target management model can achieve autonomous scenario recognition and sub-model matching, greatly improving the adaptability of cold chain management. Through multiple rounds of simulation and target calculation, digital-level strategy execution is achieved, significantly improving the generation efficiency of cold chain management and operation strategies.
Owner:GUANGDONG IND TECHN COLLEGE +1
Multi-agent collaborative underwater logistics system and method based on reinforcement learning
PendingCN122131794AVehicle position/course/altitude controlPosition/direction controlMultimodal communicationTask management
This invention provides a multi-agent cooperative underwater logistics system and method based on reinforcement learning, applicable to the fields of underwater robot cooperative control and intelligent logistics technology. The system integrates six modules: task management, multimodal communication, cooperative localization, path planning, energy management, and fault handling. Through a dynamic switching mechanism in multimodal communication, it adaptively selects between acoustic, optical, and magnetic induction modes to ensure communication reliability in underwater environments. A distributed cooperative localization method based on dynamic weights is employed, optimizing weight allocation by considering communication quality, battery power, and computing power to achieve cooperative localization. A multi-agent reinforcement learning controller with a multi-branch attention mechanism is introduced to achieve real-time obstacle avoidance, formation maintenance, and task-oriented cooperative path planning. An intelligent charging strategy based on multi-level battery thresholds and task urgency supports continuous system operation. A sliding window fault detection and adaptive task reassignment mechanism enhance the system's fault tolerance and robustness.
Owner:CHINA AGRI UNIV
Data processing method and device, equipment, medium and program product
The invention provides a data processing method and device, equipment, a medium and a program product, which can be applied to the field of intelligent logistics. The method comprises the following steps: in response to a received target order, carrying out order positioning on the target order according to a cargo state of a to-be-distributed cargo in inventory data in a warehouse to obtain a cargo positioning quantity of each storage location in the warehouse; performing minimum value calculation on the order distribution quantity obtained after distribution of the target order and the cargo positioning quantity of each storage position, and determining a distribution matching result corresponding to each storage position; the distribution matching result of each storage position is correspondingly matched with the goods picking number of each storage position returned after goods picking in the warehouse based on the goods positioning number, and the distribution difference of each storage position is determined; and hedging operation is performed on the plurality of distribution differences to obtain a target difference, and the target difference is used for representing inventory abnormal data generated after the target order is processed.
Owner:BEIJING JINGDONG YUANSHENG TECH CO LTD
Parcel stack address full word association method and device, equipment and storage medium
The present application relates to the technical field of intelligent logistics, and particularly relates to a parcel pile address full word association method and device, equipment and a storage medium, the method first carries out data preprocessing to the original address data set obtained, obtains a plurality of address full word entries, respectively allocates a unique address full word identifier to each address full word entry, and is one-to-one associated and bound with the delivery code region number set obtained, obtains a standardized address full word library, determines a parcel pile in response to the operation instruction of the courier, obtains at least one address full word entry and the unique address full word identifier corresponding to the address full word entry from the standardized address full word library, and constructs an association relationship database based on the corresponding unique address full word identifier and the number of the parcel pile, matches the obtained address full word to be matched based on the standardized address full word library, if the matching is successful, determines the parcel pile information corresponding to the address full word to be matched based on the association relationship database, and aims to improve the distribution efficiency.
Owner:SHANGHAI DONGPU INFORMATION TECH CO LTD
Automatic medicine sorting and packaging system and method for unmanned retail pharmacy
PendingCN121988546ACharacter and pattern recognitionPackaging automatic controlDispensaryPharmacy medicine
The invention relates to the technical field of intelligent logistics, in particular to an automatic medicine sorting and packaging system and method for an unmanned retail pharmacy. The method comprises the following steps: receiving medicine order information; acquiring a medicine image in an AGV material box; identifying a medicine type according to the medicine image; if the drug type is consistent with the drug order information, controlling a six-axis cooperative mechanical arm to adaptively and flexibly grab a target drug, and scanning a traceability code of the target drug; and the traceability code is compared with the medicine order information, and if the traceability code is consistent with an expected code in the medicine order information, the six-axis cooperative mechanical arm is controlled to put the target medicine into a pre-mounted and opened packaging bag. Based on the intelligent logistics technology, the automatic accuracy rate and the operation efficiency of the medicine sorting and packaging process in the unmanned retail pharmacy are improved, the consistency and the reliability of the medicine recognition, grabbing and packaging process are enhanced, and therefore the overall sorting and packaging quality and the operation stability are improved.
Owner:HUNAN XINGYUAN TECH CO LTD
Chemical supply chain intelligent logistics scheduling optimization system based on big data analysis
The application relates to the technical field of supply chain logistics scheduling, and particularly discloses a chemical supply chain intelligent logistics scheduling optimization system based on big data analysis, which belongs to the technical field of supply chain logistics scheduling. A data acquisition module is arranged in the system to obtain a multi-agent multi-scheduling cycle supply chain correlation data set, a supply and demand analysis module generates a supply and demand gap distribution map according to order demand and inventory state data, and a road condition evaluation module generates a road traffic cost matrix based on vehicle positioning and road traffic data. An improved Dijkstra algorithm with a node weight dynamic updating mechanism and an edge cost time-varying attenuation mechanism is adopted in a scheduling optimization module, joint path optimization is carried out on the two types of graph matrices, an optimal logistics scheduling scheme is generated, and a command issuing module generates and issues a vehicle and path planning instruction set according to the scheduling scheme, so that the dynamic intelligent logistics scheduling demand of the chemical supply chain is adapted.
Owner:YIDU YILIAN DIGITAL TECHNOLOGY CO LTD
Stock elevator for intelligent logistics cargo management
The utility model relates to the technical field of stock hoists, in particular to an intelligent stock hoister for logistics cargo management, which comprises a hoister support and a feeding support, and a plurality of steering gears which are uniformly distributed are fixedly connected to the inner walls of the front and rear sides in the hoister support and the feeding support. The outer side of each steering gear is sleeved with a conveying chain, a conveying plate is arranged between the conveying chains, the top of the rear end of the elevator support is fixedly connected with a driving motor, the front side and the rear side of the top of the left side of the elevator support are fixedly connected with transverse supporting plates, and the inner sides of the two transverse supporting plates are rotationally connected with a plurality of rollers distributed in a straight line at equal intervals. According to the stock elevator for intelligent logistics cargo management, through the arrangement of the adjusting limiting mechanisms, when the stock elevator for intelligent logistics cargo management is used, the positions of cargos can be adjusted conveniently, and therefore the cargos can be stacked conveniently, and the risk that the cargos collapse is prevented.
Owner:WUHU KEJIE INTELLIGENT WAREHOUSING EQUIP MFG CO LTD