10326 results about "Delivery system" patented technology

The invention relates to an intelligent reflux valve adjusting method based on a self-adaptive control algorithm, and aims to improve the accuracy and response efficiency of fluid adjustment. The method comprises the steps that fluid flow, pressure, temperature and flow direction data collected by sensors installed at an inlet and an outlet of the reflux valve are obtained, and the initial target valve opening degree under the current fluid working condition is calculated through a working condition opening degree prediction model in combination with structural parameters of the reflux valve; based on the relation among the flow, the pressure and the valve opening, the initial target valve opening is adjusted through a fuzzy rule base, so that the final target valve opening is obtained, and therefore the dynamic change of the complex fluid working condition is adapted; according to the final target valve opening degree, an execution mechanism is controlled to adjust the operation state of the reflux valve, and precise adjustment is achieved; working condition prediction and fuzzy control are combined, the adjusting precision and stability of the reflux valve are improved, and the method is particularly suitable for fluid conveying systems with large flow and pressure fluctuation and has wide application prospects in the industries of energy, chemical engineering, environmental protection and the like.

Dosage forms, drug delivery systems, and methods related to dextromethorphan or improved therapeutic effects are disclosed. Typically, an antidepressant, such as bupropion or a related compound is orally administered to a human being to be treated with, or being treated with, dextromethorphan.

An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

This invention introduces an adaptive system for multi-modal media processing and delivery, addressing challenges in modern digital content distribution. The technology dynamically analyzes and processes media content in real-time, optimizing delivery across diverse devices, networks, and content types. Key features include adaptive processing that adjusts compression, encoding, and delivery protocols based on content characteristics and delivery constraints. The system incorporates artificial intelligence for continuous improvement, learning from historical data and user feedback. It addresses network variability and device diversity, adapting to changing conditions and optimizing content for different platforms. Security and personalization features enable protected content distribution and tailored user experiences. The invention's cross-media optimization approach allows efficient handling of various media formats within a unified framework. Its scalable, modular design suits applications from consumer streaming to enterprise-level distribution. This comprehensive solution aims to enhance content distribution efficiency and user experience in the complex, evolving digital media landscape.

The invention provides a full-process monitoring and fault diagnosis method and system for a pneumatic conveying system. The method comprises the following steps: collecting multi-source monitoring data of the pneumatic conveying system; processing the multi-source monitoring data to obtain standardized monitoring data; constructing a training set based on the historical operation data, and training a pre-constructed deep learning model to obtain a system state evaluation model; based on the system state evaluation model and the multi-source monitoring data, adopting a system state vector algorithm to generate a differential flatness index; according to the differential flatness index, designing a k induction control algorithm, and generating control parameters for the rotating speed of an induced draft fan and the opening degree of a material distributing valve of the pneumatic conveying system; and constructing a disturbance observer with a self-adaptive safety boundary, and controlling the pneumatic conveying system based on the control parameters. According to the method, intelligent monitoring and safety control of the pneumatic conveying system are achieved in a mode of combining deep learning and intelligent control, and the operation efficiency and reliability of the system are improved.

The present disclosure provides methods of preparing a medical solution. In some aspects, the medical solution can be prepared from mixing a first liquid with a second liquid or mixing a solid component with a liquid in an autoinjector. In some aspects, the heat released from the mixing can promote solubility of a dry medicament in the solution.

Systems and methods for the intravascular treatment of clot material within a blood vessel of a human patient are disclosed herein. A method in accordance with embodiments of the present technology can include, for example, engaging an interventional device of a catheter system with clot material in a blood vessel and withdrawing the interventional device and the portion of the clot material through a guide catheter. In some embodiments, the catheter system can include an attachment / valve member coupled to a proximal portion of the guide catheter, and the method can include unsealing the attachment / valve member to facilitate withdrawing the interventional device through the attachment / valve member without significant retention of clot material within the attachment / valve member. The method can further include resealing and aspirating the guide catheter before advancing another interventional device to the clot material to again engage and remove clot material from the blood vessel.

An additive delivery system may incorporate a cartridge system, including a container cap and a reservoir assembly that provides for storage of an additive. The container cap includes a mixing nozzle for mixing of the additive with a base fluid as the base fluid flows from the base fluid container through the cartridge. A one-way valve prevents backflow of base fluid and / or mixed base fluid / additive from an area downstream of the mixing nozzle such that the base fluid supply remains in a pure state.

The invention discloses an advertisement optimized putting system and putting method, and the method comprises the following steps: S10: obtaining user behavior data, the user behavior data comprising historical interaction information and real-time environment data of a user; s20, analyzing the historical interaction information and the real-time environment data of the user, and identifying user features and user interests; s30, based on a combined algorithm of a convolutional neural network and a generative adversarial network, dynamically generating an optimal advertisement content and an optimal advertisement format matched with the user features and the user interests; and S40, performing real-time advertisement putting on a target advertisement platform by using the optimal advertisement content and the optimal advertisement format. According to the method provided by the embodiment of the invention, the personalized advertisement content and format are dynamically generated by acquiring and analyzing the user behavior data, and the advertisement is put on the target platform in real time, so that the accuracy and effect of the advertisement are improved.

The invention relates to the technical field of directional delivery, in particular to a media promotion directional precise delivery system and method based on big data, and the system comprises a user interest mining module, a content correlation analysis module, a heterogeneous network optimization module, a user behavior insight module, an advertisement matching strategy module and a precise delivery effect monitoring module. According to the method, the advertisement content matching accuracy is further improved by analyzing user browsing contents and records through a big data technology, effectively extracting keywords, identifying interest points and predicting the behavior trend of the user, it is ensured that advertisements can be accurately put to directional target users every time, and the advertisement effect is monitored in real time, so that the advertisement quality is improved. The advertising strategy is adjusted according to the user feedback, so that the advertising efficiency and the user satisfaction degree are remarkably improved, accurate matching and advertising of the advertising content are achieved through deep analysis of user behaviors and interests, the pertinence and effectiveness of advertisements are greatly enhanced, meanwhile, the user experience is optimized, and interference of irrelevant advertisements is avoided.

Described here are systems and methods for accessing Schlemm's canal and for delivering an ocular device or fluid composition therein. The ocular devices may maintain the patency of Schlemm's canal without substantially interfering with transmural fluid flow across the canal. The fluid composition may be a viscoelastic fluid that is delivered into the canal to facilitate drainage of aqueous humor by disrupting the canal and surrounding trabeculocanalicular tissues. Tools for disrupting these tissues and minimally invasive methods for treating medical conditions associated with elevated intraocular pressure, including glaucoma, are also described.

The invention relates to a method for intelligently pushing commodity display according to user behavior habits, and belongs to the technical field of artificial intelligence and electronic commerce recommendation systems. Aiming at the problems of low recommendation accuracy and insufficient real-time performance caused by dynamic change of user behaviors in the existing commodity pushing technology, the method comprises the following steps of: acquiring multi-dimensional data such as user browsing tracks, click preferences, purchase records and page staying duration, and constructing a dynamic user portrait in combination with a time sequence analysis and clustering algorithm; fusing real-time behavior feedback by adopting an improved collaborative filtering algorithm, mining potential association between behavior characteristics and commodity attributes through a deep learning model, and establishing an adaptive weight adjustment mechanism; and finally, a personalized commodity sorting strategy is generated based on the current scene and behavior trend prediction of the user, and dynamic optimization of the pushed content is realized. The method can be applied to an e-commerce platform, an advertisement putting system and a mobile application, the recommendation accuracy, the user conversion efficiency and the platform sales volume are remarkably improved, and meanwhile computing resource consumption is reduced.

The invention provides an intelligent suspension conveying system and a control method thereof, and belongs to the technical field of suspension conveying. Comprising a conveying track, a conveying trolley capable of being hung on the conveying track in a walking mode and a controller, the conveying trolley comprises a mounting plate, U-shaped hanging frames are fixedly connected to the left side and the right side of the upper surface of the mounting plate correspondingly, and rolling wheels are rotationally installed on the front side and the rear side of each U-shaped hanging frame correspondingly; and a first weight sensor and a second weight sensor are mounted on the left side and the right side of the lower surface of the mounting plate correspondingly. The distance between the left hoisting frame and the right hoisting frame can be adjusted according to hole positions of hoisted objects, different objects can be better hoisted and conveyed, meanwhile, the positions of the left hoisting frame, the right hoisting frame and the hoisted objects are synchronously adjusted through the controller, and therefore the rolling wheels on the left side and the right side are more balanced in stress on the conveying rail; and the phenomenon of conveying deviation is avoided, and suspension type conveying is better and more stable.

Embodiments described herein relate to an implant delivery system for delivering an implant for reducing heart valve regurgitation. The implant delivery system may include an implant catheter disposed in an inner lumen of a guide catheter. The implant catheter may include one or more hypotubes disposed therein, each hypotube configured to receive an elongate member such as a braided tether. A distal end of the implant catheter may be coupled to an implant holder configured to receive the implant. The implant holder may define one or more channels, each channel configured to receive a portion of a respective elongate member. The elongate members configured to couple the implant to the implant holder and transition the implant between configurations. The implant configured to be disposed around a portion of a leaflet of a heart valve to improve coaptation of the heart valve.

The invention belongs to the technical field of logistics conveying, particularly relates to an automatic material conveying system for a door and window processing workshop, and aims to solve the problem of low efficiency caused by insufficient automation, flexibility and intelligence of an existing system. The system comprises a data acquisition and perception module, a digital twinning module, a task management and scheduling module, an intelligent path planning and obstacle avoidance module, a multi-agent cooperative control module, an execution and feedback module, a man-machine interaction and visualization module and the like. And multi-mode collaborative operation, real-time path optimization and dynamic task allocation of the material conveying equipment are realized. The production efficiency, the flexibility and the intelligent level of a door and window processing workshop are remarkably improved.

The invention relates to the technical field of lithium ore conveying, and discloses a lithium ore hopper energy-saving conveying system based on intelligent self-adaptive control. The system comprises a data acquisition module, a self-adaptive control module, an energy-saving optimization module and an execution adjustment module. The data acquisition module acquires multi-dimensional operation data of the lithium ore hopper through a distributed sensor network, and a hopper conveying state database is constructed after standardization processing; the adaptive control module performs dynamic feature extraction on the database, generates a real-time control parameter matrix, establishes an association rule graph of each parameter, and constructs an intelligent adjustment decision model based on the association rule graph; an energy-saving optimization module extracts a key energy consumption feature vector from the real-time control parameter matrix, calculates an energy consumption influence coefficient of each operation parameter, and screens out an optimal energy-saving control sequence in combination with an intelligent adjustment decision model; and the execution adjustment module drives an execution mechanism according to the optimal energy-saving control sequence, and self-adaptive adjustment of hopper conveying parameters is completed.

A fluid delivery system is disclosed which comprises at least one first supply station for supplying a first fluid and at least one second supply station for supplying a second fluid different from the first fluid. The fluid delivery system further comprises a pressurizing unit for pressurizing the first and second fluids, said pressurizing unit comprising first and second pump modules, and each pump module comprising a chamber and a piston provided with a plunger to define first and second variable-volume sub-chambers. The fluid delivery system further comprises first and second inlet fluid circuits, first and second outlet fluid circuits, and a first recirculation fluid pathway fluidically connecting the first and second variable-volume sub-chambers of a pump module. Moreover, a first actuator is associated to said first recirculation fluid pathway for managing the fluid passage in both directions between said first and second variable-volume sub-chambers of said pump module. Methods of operating the fluid delivery system are disclosed too.

The invention discloses a windowing covered stent blood vessel and a delivery system, and belongs to the field of medical instruments, the windowing covered stent blood vessel comprises a covered stent blood vessel main body and a windowing assembly arranged on the covered stent blood vessel main body; wherein the windowing assembly at least comprises a barrel-shaped structural part and a connecting part, and the barrel-shaped structural part is provided with a channel matched with the branch support; the connecting piece is used for connecting the cylindrical structural piece and the covered stent blood vessel main body; the connecting piece is provided with a buffer part, so that the cylindrical structural piece is flexibly connected with the covered stent blood vessel main body; according to the windowing assembly, blocking of the branch support can be effectively avoided, and good wall attaching performance can be provided for the embedded branch support through the buffering part.

The invention discloses an intelligent advertisement optimized delivery system based on user behavior analysis, and the system comprises a data collection and preprocessing module which is used for collecting user behavior data, and carrying out the cleaning, analysis and processing of the user behavior data, so as to obtain the effective behavior data of a user; the user portrait construction module is used for constructing a user portrait by utilizing the effective behavior data of the user; the advertisement feature extraction module is used for performing multi-modal feature extraction on the advertisement materials to construct semantic representation of the advertisement; the conversion estimation model construction module is used for constructing a conversion estimation model through a training deep learning algorithm by utilizing the effective behavior data of the user and the advertisement features; the intelligent delivery decision module is used for constructing an intelligent delivery decision model; and an effect verification and optimization module. Through the scheme, user interests and advertisement contents can be accurately matched, advertisement sorting is optimized, the click rate and the conversion rate of advertisements are improved, meanwhile, invalid advertisement exposure is reduced, and the rate of return on investment of advertisers is improved.

The invention discloses a denial environment-oriented self-adaptive anti-interference unmanned aerial vehicle distribution system and a denial environment-oriented self-adaptive anti-interference unmanned aerial vehicle distribution method. The system integrates a navigation module, a communication module, a path planning module and a safety redundancy module, high-precision positioning is achieved through multi-source sensor fusion, and the stability of a communication link is ensured by combining frequency hopping spread spectrum communication, laser communication and an ad hoc network technology. The path planning module dynamically generates an obstacle avoidance path by using a three-dimensional threat map and a deep reinforcement learning algorithm, and switches to an offline mode when communication is interrupted. A safety redundancy mechanism guarantees the fault tolerance of the system through dual-system hot backup, an emergency parachute and a data self-destruction function. According to the invention, the anti-interference capability and the distribution efficiency of the unmanned aerial vehicle in a complex denial environment are effectively improved, and a solution is provided for the practical application of the unmanned aerial vehicle distribution system.

Systems and methods for a media content delivery service. A media content provider includes a data store for storing and serving media content to subscribers. The media content provider continually records and or otherwise stores video and audio content from around the world. Stored content will generally correspond to a large number of other media content providers, such as cable television operators, Internet based media content providers, television networks, and so on. Subscribers to the media provider interact with the media content provider via hardware and / or software mechanisms either provided by the media content provider or conforming to specifications of the media content provider. Based on these subscriber's subscriptions to the other content providers, the subscribers will have viewing, listening, or application execution privileges for content maintained in the data store. Content of a subscriber corresponding to multiple video content providers is maintained and served by a single provider.

The invention provides a pneumatic conveying system optimization method and system based on a multi-target particle swarm, and relates to the technical field of pneumatic transportation, and the method comprises the steps: collecting key transportation data affecting the conveying efficiency, the energy consumption and the system stability, employing a particle swarm algorithm, regarding each particle as a group of optimizable parameter combinations, and obtaining a particle swarm optimization parameter combination; the method comprises the following steps: calculating a pneumatic transport performance index based on an engineering formula, generating a fitness value by adopting a weighted summation method, comparing the fitness value with a preset threshold value, determining whether optimization is needed or not, carrying out iterative optimization by updating particle positions and speeds by taking minimization of pipeline wear, energy consumption and pressure fluctuation as targets, and when the fitness value meets a threshold value condition, carrying out iterative optimization on the particle positions and speeds. And selecting an optimal solution based on a minimum deviation method. The pneumatic conveying system is optimized based on the multi-target particle swarm algorithm, and the conveying efficiency and the system stability are improved under the target of minimizing pipeline abrasion, energy consumption and pressure fluctuation.

The invention relates to a simplified gas delivery system for atomic layer etching. According to the system, the overall cost is reduced by omitting the requirements of a gas tank and a pressure gauge. A preset mass flow controller (MFC) and a three-way valve can accurately control the gas flow in the surface modification step and the sputtering step of the ALE process. By means of the self-limiting property of the ALE process, the system does not need to maintain the steady-state pressure of the chamber, and the efficiency can be improved only by controlling the volume of the conveyed gas.

A compact filtering and additive delivery system which is readily adaptable to a portable container, such as a sports bottle, and receives a modular additive container for the metered delivery of additive, such as flavor concentrate, to a stream of base liquid as the base liquid is drawn or dispensed from the container. The modular additive container configuration on the delivery system allows a consumer / user to experience different additives, such as different flavors or supplement compositions, for a given supply of base liquid, such as water, stored in the container. The system may be readily used with off-the-shelf containers, such as disposable water bottles. An additive container configuration provides modular additive delivery system as described herein.

A receptacle delivery system for an instrument includes a carriage, a puck supported by the carriage, and a first shelf. The carriage is configured to move from a first location of the instrument to a second location of the instrument. The puck is configured to removably support a receptacle such that a longitudinal axis of the receptacle is substantially coincident with a vertical axis of the puck. The first shelf comprises (a) a base extending substantially transverse to the vertical axis of the puck and (b) a first opening defined by the base, and when the carriage is positioned at the second location, the longitudinal axis of a receptacle seated in the puck extends through the first opening.

An automated storage and retrieval system includes an automated storage and retrieval grid and a delivery system. The automated storage and retrieval grid includes a container handling vehicle rail system and a delivery column. The container handling vehicle rail system is for guiding a plurality of container handling vehicles. The delivery column is adapted for transport of a storage container from a container handling vehicle to a delivery port situated at a lower end of the delivery column, and further adapted for transport of a storage container from the delivery port to the container handling vehicle. The storage container is configured to be stored in a stack of storage containers beneath the container handling vehicle rail system. The delivery system includes a remotely operated delivery vehicle, which includes a container carrier adapted to support the storage container. The delivery vehicle is further adapted to transport the storage container between a delivery port and a second location for handling of the storage container by at least one of a robotic operator and a human operator.

A computer-based adaptive decision support system for radiotherapy, including: • a patient data acquisition module configured to acquire patient-specific clinical data, including an anatomical image, a physiological signal, and genomic data; • a preprocessing and feature extraction modality compatible with normalizing, preprocessing and extracting statistical features from the acquired data; • a status estimator used to provide a dynamic representation of the patient's treatment evolution status based on radiation, biological, dosimetric characteristics; • customized action rescaler to define a series of clinically meaningful treatment adjustments depending on the patient's current condition; • a reward function engine used to calculate therapeutic outcome scores based on the probability of tumor control, the probability of complications in normal tissue, and other predetermined factors; • a reinforcement learning agent that can learn and update treatment adaptation policies based on deep reinforcement learning techniques; • a clinical decision dashboard that provides recommended treatment adjustments and personalized interaction with the physician; and • a clinical integration interface adapted for exporting the customized treatment plan to an external treatment planning or delivery system.

The present invention relates to the technical field of compression molding production lines, and in particular relates to an automatic SMC-sheet compression molding production line, and an automatic material conveying method therefor. The automatic SMC-sheet compression molding production line sequentially comprises an infeed conveyor system, a molding machine and an outfeed conveyor system, wherein the infeed conveyor system comprises a peeling and clamping mechanism, a feeding and cutting mechanism, a first lifting platform, a rotary transfer table, a second lifting platform and a mobile feeding trolley, which are sequentially arranged, and the outfeed conveyor system comprises a gripping mechanism, a conveying platform and a transition platform, which unload and output compression-molded products. By means of the automatic SMC-sheet compression molding production line and the automatic material conveying method therefor in the present invention, an automatic production process for SMC sheets, which involves unfolding, peeling, flattening, cutting, quantitative weighing, feeding and outputting, can be realized, thereby improving the production efficiency, and reducing the labor intensity.

The invention provides a nano transdermal delivery system based on superoxide dismutase, the nano transdermal delivery system is of a capsule composite structure of a small molecule active component-superoxide dismutase-polymer shell layer, the small molecule active component is loaded in superoxide dismutase, the surface of the superoxide dismutase is coated by the polymer shell layer, and the superoxide dismutase is loaded in the capsule composite structure. The diameter of the superoxide dismutase-based active ingredient transdermal delivery system is 20-100 nm, and the thickness of the polymer shell layer is 7.5-52.5 nm. In the delivery system, the polymer shell layer provides a protection effect for the superoxide dismutase and the micromolecular functional substances with the anti-oxidation effect, the capsule composite structure is in a nanogel form, and the nanogel not only promotes the penetration depth of the capsule, but also reduces the irritation effect of the capsule on the skin. The raw materials are biologically friendly, the preparation method is simple, the yield is high, and industrial large-scale production can be realized.

The invention discloses a modularized intelligent tubular column conveying system based on digital twinning and self-adaptive control, and belongs to the technical field of digital twinning. The modularized intelligent tubular column conveying system is characterized in that a digital twinning model integrating a mechanical structure, electrical control and hydraulic power attributes is constructed; acquiring multi-source sensing data including an image sequence, a three-dimensional point cloud and vibration acceleration in real time, driving the digital twin model to perform synchronous simulation, and calculating a deviation value between the digital twin model and internal simulation data; on the basis of the deviation value, a control logic parameter adjusting instruction is generated through a predefined mapping rule, then updated control logic parameters are executed, and a complete pipe column conveying process is simulated to generate a predictive system state sequence; and finally, the safety-related state subsets are issued to a field controller to guide and execute preventive actions. According to the invention, deep fusion and closed-loop control of digital twinning and physical entities are realized, and the debugging efficiency, the environmental adaptability and the operation safety of a tubular column conveying system are effectively improved.