623 results about "Delivery methods" patented technology

The invention provides an e-commerce service intelligent multi-warehouse delivery method and system, and the method comprises the steps: generating a global inventory view according to the user order information of a cross-e-commerce platform and a corresponding logistics performance demand, and carrying out the dynamic adjustment through a preset priority rule, a sorting priority sequence is generated through a dynamically adjusted inventory distribution strategy, spectral feature matching is carried out on mixed goods in all warehouses according to the sorting priority sequence and SKU identification information, goods sorting is completed in combination with target warehouse illumination environment parameters corresponding to inventory geographical distribution, and goods identification information is generated; then generating a cross-warehouse allocation decision by using a distributed inventory sharing model, and finally generating a multi-warehouse collaborative delivery instruction according to the cross-warehouse allocation decision and the cargo identification information; according to the technical scheme provided by the invention, intelligent management of the whole process from order processing to final cargo distribution is realized, the efficiency of inventory management and logistics scheduling is improved, and the accuracy and timeliness of order processing are ensured.

The invention belongs to the field of advertisement putting, and provides an advertisement putting method and system based on multi-source data analysis, and the method comprises the steps: collecting multi-source original data related to a user; identifying a plurality of cognitive state nodes based on the click behavior data and the transaction path data; constructing a cognitive behavior causal atlas based on the plurality of cognitive state nodes, wherein nodes of the causal atlas represent user cognitive states; predicting an advertisement response probability and a conversion probability of a target user by adopting a Bayesian inference model in combination with a historical behavior sample and a path structure in the causal atlas, and estimating a state transition probability of the user from a current state node to a target state node based on different advertisement intervention contents; and based on the state transition probability and the causal atlas structure, determining an optimal advertisement intervention path of the user from the current cognitive state to the expected conversion state, and constructing a corresponding advertisement putting sequence based on the path.

The invention discloses a robot dog delivery system and a delivery method thereof, the robot dog delivery system comprises a loading and unloading robot dog, the loading and unloading robot dog comprises a loading and unloading mechanism arranged on the robot dog, the loading and unloading mechanism comprises a mounting base arranged on the back of the robot dog, and the mounting base is provided with a receiving table for receiving goods; the pair of loading and unloading clamping plates is arranged on the two sides of the mounting base in a driving mode through opening and closing driving assemblies. The loading and unloading clamping plate comprises an opening and closing seat connected with the opening and closing driving assembly, an opening and closing clamping plate capable of being opened and closed relative to the bearing table is connected to the opening and closing seat, and a pressing guide plate capable of being opened and closed relative to the bearing table is connected to the opening and closing clamping plate. According to the robot dog delivery system and the delivery method disclosed by the invention, endpoint delivery can be realized in combination with the robot dog, the flexibility and the replicability of logistics delivery are improved, the delivery efficiency is improved, the delivery error is reduced, and the labor cost is reduced.

The invention discloses a targeted delivery method of a plant-derived biological regulator, and relates to the technical field of bioengineering, and the targeted delivery method comprises the following steps: in the application process of an electroporation technology, monitoring and acquiring cell membrane lipid change data information in real time through a biosensor technology; the method comprises the following steps: preprocessing original data acquired by a biosensor, and organizing and storing the preprocessed data according to rules to form a structured data set; the system can accurately control the state of the plant cell membrane by monitoring the lipid change of the cell membrane in real time and combining intelligent evaluation and dynamic adjustment of the electric field parameters. When membrane lipid is oversaturated, the electric field intensity and the pulse frequency are dynamically adjusted, membrane damage is reduced, cell integrity is protected, and meanwhile effective delivery of allogenic materials is ensured. According to the method, the stability and the accuracy of an electroporation technology are improved, the targeted delivery of the plant-derived biological regulator is optimized, and the application potential of the plant-derived biological regulator in the fields of agriculture and biomedicine is expanded.

The invention discloses an intelligent construction digital delivery method and system based on master-slave multiple chains, and relates to the technical field of engineering construction management, and the method comprises the steps: carrying out the unique identification code coding of an engineering construction file, generating a file identifier, and constructing a multi-participant co-construction platform; performing sharing and encryption management on file data among participants based on a master-slave multi-chain consensus mechanism; and managing business process data through the cooperative work of the main chain and the side chain, and automatically judging the authority of the access request of the user. According to the intelligent construction digital delivery method based on the master-slave multiple chains, the identification and management efficiency of the file is enhanced by generating the unique engineering construction file identification code, the file sharing efficiency is improved through point-to-point butt joint and data sharing of the engineering file among multiple parties, and the intelligent construction digital delivery efficiency is improved through a master-slave multiple chain intelligent contract mechanism. The safety and the management efficiency of the project file are improved, and better effects are achieved in the aspects of the management efficiency, the safety and the sharing efficiency.

The invention relates to the technical field of targeted cargo delivery, in particular to a drug loading and delivery method and a cell carrying method of a core-shell mesoporous micro-nano robot. The drug loading and delivery method is realized based on the drug loading capacity of the mesoporous structure, the magnetism of the iron oxide core and the photothermal effect of the polydopamine shell. The core-shell mesoporous micro-nano robot can adsorb and load drugs through capillary force and electrostatic force generated by the mesoporous structure of the core-shell mesoporous micro-nano robot; then, an external magnetic field is used for driving the device to move; near-infrared light is utilized to irradiate when approaching a targeted area, the temperature of a pore structure rises, and along with thermal vibration, drugs in mesopores are effectively released to the targeted area, so that the drug delivery effect is achieved. When the drug is loaded and delivered, the core-shell mesoporous micro-nano robot has carrying capacity after being clustered under a magnetic field, and cells are carried through an eddy current carrying method and a contact adhesion method. Targeted goods delivery of goods such as targeted drugs and cells can be achieved through the micro-nano robot.

Disclosed are valve replacement devices, systems, and methods. Valve replacement devices may comprise one- or two-piece systems comprising a receiver body (also called an adapter) and a valve assembly with replacement leaflets attached to and located within the receiver body. In two-piece systems, the valve assembly may be removable from the receiver body such that both can be delivered together or separately, and the receiver body may remain implanted while the valve assembly may be removed and replaced. Also described are devices, systems, and methods related to delivering, removing, and replacing a valve replacement. Such delivery methods may include transseptal insertion of a new minimum leaflet structure, and securement of the valve replacement using several securement type (e.g., supra-annular, sub-annular, radial, leaflet securement, etc.). Also described is a braided helical design that mimics the heart's natural movement, and a flange structure for assisting the functioning of the valve replacement.

The invention relates to the technical field of directional advertisement, in particular to an advertisement putting method based on a user portrait, which comprises the following steps of: acquiring equipment use time of a target user, recording use types and corresponding use frequencies of software and corresponding advertisement response information, dividing the equipment use time into a plurality of putting characteristic time periods, determining the advertisement putting type of each putting characteristic time period; according to the advertisement feedback attitude of the user in each feature time period, determining an advertisement effective tendency category of the current user in each putting feature time period so as to determine a basic advertisement putting mode; and according to the duration percentage in each time period, determining an advertisement acceptance fluctuation parameter of the user in the current time period so as to judge whether to adjust the advertisement putting content in the current characteristic time period, and according to the advertisement watching duration percentage of each use type of software, determining an adjustment direction. And the overall advertisement putting effect is improved.

The invention provides an advertisement putting method and device based on agent collaborative decision making. The method comprises the steps of obtaining advertisement putting data; preprocessing the advertisement putting data to obtain a plurality of to-be-analyzed data of different dimensions; constructing a collaborative scheduling module and a plurality of agents for processing different tasks; performing semantic analysis on the corresponding to-be-analyzed data by adopting the large language model in each agent to obtain a corresponding local delivery strategy; the collaborative scheduling module adopts a multi-objective optimization algorithm to carry out global optimization on each local putting strategy so as to obtain an optimal advertisement putting strategy; obtaining putting parameters, and performing advertisement putting according to the putting parameters and the advertisement putting strategy; therefore, local decision making is carried out by constructing a plurality of agents, and global optimization is carried out through collaborative scheduling, so that the advertisement putting effect is greatly improved.

The invention relates to the technical field of logistics distribution management, and provides a string area delivery identification method and device, computer equipment and a storage medium, and the method comprises the steps: screening an effective record of which the delivery mode is internal delivery from a waybill table, and removing a whole vehicle type waybill and an internal part type waybill; counting the waybills in the same track from the waybill table according to receiving areas, wherein the receiving area with the most counted votes is a delivery area; waybills of the main delivery district are removed from the waybill table, and whether the remaining waybills are string district problem bills or not is judged; and for each string area problem ticket, according to the sum of the actual distances of the string area problem ticket and the adjacent main delivery district and the linear distance of the adjacent main delivery district corresponding to the string area problem ticket, obtaining a distance increasing value so as to generate an analysis result corresponding to each string area problem ticket, and completing string area delivery identification. The method is suitable for intelligent scheduling and optimization of delivery services in logistics enterprises, and solves the problems of extensive delivery identification and unreasonable resource allocation in the prior art.

The invention belongs to the technical field of logistics distribution, and particularly relates to an unmanned aerial vehicle and truck collaborative distribution method based on multi-target reinforcement learning, and the method comprises the steps: order clustering: a logistics service provider carries out the clustering of orders according to a K-means method, enables the orders with the similar distribution time and address to be divided into one order cluster, and carries out the clustering of the orders according to a K-means method; the unmanned aerial vehicles are delivered by the truck and the unmanned aerial vehicles carried by the truck; according to the NSGA-II algorithm, multiple targets such as path cost, distribution time and carbon emission are considered, and optimal paths of multiple schemes are provided; and planning an optimal path by adopting a reinforcement learning method. According to the cooperative logistics distribution method based on the unmanned aerial vehicle and the truck, the three targets of logistics distribution time, cost and carbon emission are considered, the dynamic conditions of low-altitude traffic restriction of the unmanned aerial vehicle, the road congestion condition of the truck, load constraint and the like are also considered, the optimal path is optimized by adopting a reinforcement learning mode, and the logistics distribution efficiency is improved. And parameter setting of reinforcement learning is automatically updated by using a non-dominated sorting algorithm, so that multi-dimensional optimal path selection can be provided for logistics service providers.

The invention discloses an advertisement putting control method, an advertisement putting system, a storage medium and a program product, and the advertisement putting method comprises the steps: receiving a business district image uploaded by a user based on a user terminal node, and then determining a group portrait corresponding to the business district according to the business district image; and then one or more advertisements most adaptive to the group portrait are selected from the advertisement library according to the group portrait as target advertisements, and target advertisement putting device nodes in the business district are controlled to play the target advertisements, so that the purpose of accurately putting the advertisements is realized, and a plurality of decentralization processes are realized. In this way, the advertisement putting income in unit time is effectively improved, and advertisement putting is more accurate. Moreover, by implementing the above scheme based on the block chain, the purpose of decentration is better achieved, and the problem of low advertisement putting efficiency caused by artificial interference is effectively avoided.

The invention relates to the technical field of computer vision, and discloses a precise medicine delivery method and system, and the method effectively strips illumination artifacts through the construction of a local gradient structure tensor field and an anisotropic screening mechanism, remarkably improves the robustness of a visual front end in a light and dark alternating environment, and improves the accuracy of medicine delivery. Rigid body motion constraint and Lie algebra continuous modeling are utilized, high-precision space-time alignment between heterogeneous sensors is realized on the premise that scene depth does not need to be recovered, hardware delay errors are eliminated, a physical-driven probability weight dynamic allocation mechanism is constructed by introducing a multipath scattering index and a structural information entropy flux, and a dynamic space-time alignment algorithm is established. Environment degradation is sensed in real time, the observation weight is adjusted in a self-adaptive mode, the influence of the non-line-of-sight multipath effect and visual texture missing is effectively restrained, high-precision inertial dead reckoning can still be maintained in a blind area where a sensor is in full failure in combination with momentum prior information generated through Schel complement marginalization operation, and the method has the advantages of being high in precision and high in precision. And the navigation continuity and reliability of the distribution robot in a complex scene are ensured.

The invention relates to the technical field of advertisement putting, and discloses an intelligent automatic putting method and system, a terminal and a storage medium, and the method comprises the steps: receiving a putting instruction of a management end, dynamically accessing original data according to a business target, and carrying out the dimensionality fusion, and generating a unified data environment; fusing user historical transaction value features and behavior sequence willingness features, identifying high-value users and extracting common portraits; decomposing a business target into stage sub-targets in combination with the delivery constraint, and generating a multi-step delivery execution strategy; compiling into a standardized instruction, deploying a task on a target advertisement platform, and monitoring feedback to generate an execution state report; based on index abnormity and a unified data environment in the execution state report, performing multi-dimensional root cause analysis on the delivery task to obtain an intelligent diagnosis conclusion; according to the intelligent diagnosis conclusion, state transition of the release task is driven, and an effect verification report is generated according to feedback data after state transition; the intelligent automatic putting efficiency can be improved.

The invention discloses an advertisement putting system and method based on data recognition, and the system comprises a data collection module, a data processing module, a database module, and an advertisement putting adjustment module. The delivery method comprises the following steps: collecting user behavior data on a short video platform to form a behavior data set; preprocessing and screening the user behavior data; reading and storing to-be-delivered advertisements, and establishing a pushed advertisement database; reading a pushed advertisement form, and matching advertisement data in a pushed advertisement database; and dividing advertisement putting time periods and advertisement putting forms, and matching and pushing advertisement data in the advertisement database. According to the method and the device, different advertisement putting strategies can be adopted according to user classification types and user behavior types by dividing different time periods of the whole day; by reasonably planning the putting time and form of the advertisement, not only can the exposure of the advertisement be ensured, but also the interference to the watching experience of the user can be effectively reduced.

The invention belongs to the field of medical treatment, and relates to a delivery mode prediction method, which comprises the following steps: obtaining puerpera data including computerized fetal heart monitoring data, ultrasonic examination data and pregnant woman electronic health record data; constructing a multi-modal deep learning model fusing a convolutional neural network and a bidirectional long-short-term memory network according to the puerpera data; and inputting puerpera data monitored in real time into the multi-modal deep learning model to obtain an optimal delivery mode. The invention further provides a delivery mode prediction device, computer equipment and a storage medium. According to the method, a doctor can conveniently plan a delivery scheme in advance, reasonably configure medical resources, reduce unnecessary cesarean delivery rate and reduce maternal and infant complications, the method is of great significance to improvement of maternal and infant health conditions, meanwhile, a new path is developed for further development and application of digital twinborn and related technologies in the field of gynaecology and obstetrics, and the method is worthy of popularization and application. And the field is promoted to stride towards intelligentization and precision.

The invention provides an advertisement putting method and device, equipment, a medium and a program product, relates to the technical field of advertisement systems, and aims to solve the problem of low flexibility of task scheduling in advertisement putting. The method comprises the following steps: receiving a first advertisement request sent by a client; determining a first declarative configuration file corresponding to the first advertisement request; the first declarative configuration file is analyzed, execution process information and a plurality of data access strategies corresponding to a plurality of task nodes in the execution process information in a one-to-one mode are obtained, and the data access strategies comprise to-be-accessed advertisement data sources and data scheduling strategies of the advertisement data sources; executing tasks corresponding to the plurality of task nodes according to the execution process information and the plurality of data access strategies to obtain an execution result; and sending the execution result to the client. According to the invention, the flexibility of task scheduling in advertisement putting can be improved.

Medication delivery methods, devices and systems are provided, the medication delivery device includes user interface elements, control circuitry, and a memory. The method includes receiving analyte measurement data of a user, presenting information related to the analyte measurement data to the user, and determining an intended dose of medication based on at least one of the analyte measurement data, optionally, therapeutic relevant conditions, therapy parameters, or a calculated insulin-on-board (IOB) value. When the user is queried to indicate that the user is ready for the delivery without presenting the intended dose on any of the one or more user interface elements of the medication delivery device, the intended dose is automatically delivered after receiving the user's indication.

The invention provides a multi-channel message template aggregation delivery method based on scene driving. The method comprises the following steps: step 1, scene definition and parameter configuration; 2, designing a message template and generating a template ID; step 3, channel access and packaging; step 4, message assembly; 5, generating a delivery strategy; step 6, delivery execution; 7, performing data statistics; and step 8, performing optimization iteration. According to the method, through scene driving, template standardization, algorithm cooperation and data closed loop, the pain point of a traditional scheme is solved in a targeted manner.

The invention discloses a trusted space-based data delivery method and device and a medium, and the method comprises the steps: determining a production library and a delivery library for data delivery, and constructing a one-way data transmission channel between the production library and the delivery library; acquiring to-be-delivered data in the production library, and performing multi-level encryption on the to-be-delivered data; transmitting the encrypted to-be-delivered data to a delivery library through a one-way data transmission channel to obtain delivered data, and testing the integrity of the delivered data; and when it is determined that the delivered data is complete, deleting the copy of the data to be delivered in the production library. Security protection measures are implemented in the whole process from data extraction, transmission to delivery, the whole process of data delivery is safe and controllable through multiple technical means such as a trusted computing space, a one-way transmission channel, encryption verification, access control, an auditing mechanism and data destruction, and reliable data delivery guarantee is provided for the field with high security requirements.

A game packet delivery method and a game packet delivery system are provided. The method includes executing a game program by a user device; and transmitting at least one game packet related to the game program between the user device and a game server via a telecom server and a shared router in response to the execution of the game program. The shared router belongs to a decentralized network node, and the transmission of at least one game packet does not involve any server provided by cloud service providers. Therefore, the efficiency of transferring game packets between the user device and the game server can be improved, thereby improving the game experience of the end user. Besides, because the transmission of game packets does not go through the backbone network of the cloud service providers, it can also ensure the privacy of online games for users.

The invention discloses a storage cabinet batch delivery and pickup system and a batch delivery and pickup method thereof, the storage cabinet batch delivery and pickup system comprises a user side device, a central server and an intelligent storage cabinet group, the user side device communicates with the central server through a network, and the central server communicates with the intelligent storage cabinet group through the network. The invention discloses a delivery and pickup method of a locker batch delivery and pickup system. The method comprises the following steps: S1, initiating a task and uploading an order; s2, order processing and path planning; s3, article identification and identity verification; s4, putting articles and updating the progress; and S5, consumable monitoring and supply. According to the invention, order grouping and path planning can be automatically completed, the walking distance and operation time of a courier and a user are effectively reduced, the multi-mode identification technology sub-module and the batch identity verification sub-module can rapidly process article information and identity verification, and the overall efficiency of batch delivery and pickup is significantly improved.

The invention discloses a DevOps-oriented low-code front-end application construction and delivery method. The method comprises the steps that a developer carries out metadata design through a low-code development platform; front-end page design and function building are carried out through a visual designer; creating an application, and using an application visualization designer to connect a plurality of designed single pages in series according to business logic to obtain a visualization design result; a low-code platform, Vite, Vue3 and a TS technology stack are deeply fused, a visual design result is converted into a runnable code conforming to a modern front-end engineering specification through a rear-end driven intelligent code generation engine, and a final application engineering source code is output; and submitting the generated application project source code to a DevOps integrated management platform, and carrying out online construction application deployment and access test. The high efficiency of low-code development and automation of DevOps are fused, and full-process automation from application development to deployment is achieved.

The present application relates to the technical field of targeted cargo delivery, and more particularly to a drug loading and delivery method and a cell carrying method of core-shell mesoporous micro-nanorobot. The drug loading and delivery method is realized based on the drug loading capacity of the mesoporous structure, the magnetism of the iron oxide core and the photothermal effect of the polydopamine shell. The core-shell mesoporous micro-nanorobot can adsorb and load drugs through the capillary force and electrostatic force generated by the mesoporous structure; then the movement of the core-shell mesoporous micro-nanorobot is driven by an external magnetic field; when the core-shell mesoporous micro-nanorobot approaches the target area, the pore structure is irradiated by near-infrared light, the temperature of the pore structure is increased and the thermal vibration is accompanied, the drugs in the mesoporous structure are effectively released to the target area, and the drug delivery effect is achieved. At the same time of drug loading and delivery, the core-shell mesoporous micro-nanorobot has a carrying capacity after clustering under the magnetic field, and carries cells through two methods of eddy current carrying and contact adhesion. The targeted cargo delivery of targeted drugs and cells and other cargos can be realized by the micro-nanorobot.

The embodiment of the invention discloses an order distribution method and device and a storage medium, and the method comprises the steps: displaying a distribution information modification interface on a to-be-received order display page under the condition that a selection operation of at least two packages in a plurality of displayed packages is received; the plurality of packages are packages corresponding to the to-be-received order; on the distribution information modification interface, receiving combined distribution information of the at least two parcels; and transmitting the combined delivery information to a second order delivery device, so that the second order delivery device executes a combined delivery process of the at least two packages according to the combined delivery information.

The invention discloses a near space launching method, device and equipment based on digital twinning, and a storage medium. The method comprises the following steps: constructing a digital twinning model of an unmanned aerial vehicle and an environment where the unmanned aerial vehicle is located; according to a predetermined task target, simulating delivery results under different delivery strategies by using a digital twin model, and calculating a target delivery path and a target delivery time point; collecting state data of the unmanned aerial vehicle in the actual flight process in real time, and transmitting the state data to a ground control center, so that the ground control center updates the digital twin model by using the received state data and feeds back; and based on the updated digital twin model, the target delivery path and the target delivery time point, the flight path and delivery time of the unmanned aerial vehicle are adjusted in real time until the delivery task is completed. Through the digital twin model, the high simulation of the parameters of the unmanned aerial vehicle can be realized, the flight path and the delivery time of the unmanned aerial vehicle are adjusted in real time based on the updated digital twin model, and the delivery accuracy is improved.