11 results about "Multiple delivery" patented technology

The utility model belongs to the technical field of bioengineering and fermentation equipment, especially a kind of precision metering fermentation dosing integrated equipment, including jar body, liquid storage tank, discharge pipe, adjusting assembly, hollow shaft, stirring assembly one, stirring assembly two, conveying component, auxiliary discharge component, cleaning component, multiple delivery pipes and multiple ration valve;The top of the jar body is fixedly installed with support frame, the liquid storage tank is fixedly installed at the top of support frame, multiple baffle plates for dividing the internal space of liquid storage tank into different liquid storage spaces are fixedly installed in the liquid storage tank, the stirring assembly one is arranged on the liquid storage tank, the hollow shaft is rotatably installed on the top inner wall of jar body and is connected with stirring assembly one, the stirring assembly two is arranged on the hollow shaft, and the cleaning component is arranged in the jar body and is connected with the hollow shaft.The utility model has reasonable design, can realize the effects of precision metering dosing, automatic cleaning and flexible adjustment of discharge direction.

The present specification provides a data processing method, device and server for content delivery. Based on the method, when a content delivery party wants to deliver content to user terminals in a target delivery area through multiple channels, the content delivery party can initiate a target delivery request to a server of a content delivery management platform. The server responds to the target delivery request, determines the authority range of the content delivery party by querying an organizational structure database according to the identification information of the content delivery party, verifies whether the target delivery area matches the authority range of the content delivery party, generates target delivery content matching multiple delivery channels in the case of matching, binds the target delivery content to a target activity according to the activity identification of the target activity, and sends the target delivery content to the user terminals in the target delivery area. Thus, the operation of the content delivery party can be effectively simplified, the related content delivery can be efficiently and accurately completed, and a better delivery effect can be obtained.

A method and apparatus for delivering items to multiple storage locations are provided. The system includes multiple storage locations. The storage locations may be positioned to provide aisles, and multiple delivery vehicles can operate within the aisles to deliver items to the storage locations. The system may include tracks that guide the vehicles to the storage locations. Redirection components may be provided for redirecting the vehicles relative to the tracks to reduce misalignment between the vehicles and the tracks.

The application discloses a content delivery method and device of a social platform, a storage medium and equipment, and belongs to the technical field of deep learning. A node to be dispatched is acquired in a strategy map, the node is generated according to a delivery target and is associated with multiple delivery strategies; a platform ecological snapshot and target crowd coverage are generated according to platform data of the social platform; an account adaptation degree is generated according to a publishing record of a user account; the most adaptive n triplets are screened according to the platform ecological snapshot, the target crowd coverage and the account adaptation degree, each triplet comprising a delivery strategy, a social platform and a user account; and content delivery is performed using the corresponding user account under the corresponding social platform by using the delivery strategy corresponding to the triplet. The application can dynamically screen the optimal "strategy-platform-account" combination, improve the content triggering precision and interactive conversion efficiency, update the scheduling weight corresponding to the delivery effect to the node, schedule the node according to the scheduling weight, and realize autonomous optimization of delivery.

The application provides a UAV low-altitude air route dynamic planning method and system, and relates to the technical field of intelligent planning. The method comprises the following steps: receiving an added delivery point instruction and obtaining a three-dimensional coordinate, integrating the added delivery point with an existing delivery point, defining a geographical range through a communication base station, a radio tower and a permanent landmark building, dividing the geographical range in a spatial structure, and decomposing the geographical range into a uniformly distributed three-dimensional voxel grid; generating an adjustment value according to the coordinate interval, the delivery point density and the straight-line distance from the landmark building of the three-dimensional voxel grid, adjusting the task integration result using the adjustment value, and obtaining the adjusted task integration result of all delivery points. The application realizes safe, efficient and accurate air route planning for the dynamic addition of multiple delivery points in a complex low-altitude environment.

This invention relates to the field of wastewater testing technology, specifically a microbial testing device for livestock and poultry breeding wastewater. It includes an installation component, a mounting frame, an inspection box mounted on top of the mounting frame, a drive frame fixedly connected to the lower end of the mounting frame, and an inspection probe fixedly connected to the upper end of the mounting frame. Multiple delivery pipes penetrate the side wall of the inspection box. A delivery box is fixedly connected to the lower end of the drive frame, a traction frame is fixedly connected to the lower end of the delivery box, and a support frame is fixedly connected to the lower end of the traction frame. Multiple equally spaced extraction pipes are fixedly connected to the lower end of the support frame. Through the sampling and traction components, comprehensive sampling can be performed at different locations and levels of the wastewater, improving sample representativeness. A rinsing component effectively removes wastewater residue, reduces bacterial growth, and ensures the accuracy of test results. The liquid delivery component precisely controls the flow rate and pressure of the test reagents through a pressure valve.

This invention relates to an anesthesia robot based on IoT big data for automatic drug delivery. It includes a base, a support, a placement platform, a main controller, a display screen, a placement backplate, a tubing rack, multiple delivery tubing lines, and multiple drug delivery units. Each drug delivery unit includes a pushing component, a mounting component, and a placement frame. The placement frame is snapped into place with the mounting component. First, a spare placement frame containing an anesthetic syringe is fixed to the placement backplate. During surgery, the main controller simply controls the output end of the corresponding pushing component to move away from the push rod of the anesthetic syringe, removing the corresponding placement frame from the mounting component. Then, the spare placement frame containing the anesthetic syringe is placed on the placement backplate, thus completing the replacement of the anesthetic syringe. The operation is simple and the replacement efficiency is fast.

Even if multiple delivery attempts are made while the recipient is absent, the delivered packages will be stored appropriately. [Solution] The storage unit has a first storage section 11 and a second storage section 12, each of which is separated from the other by a partition section 15, and each of the first storage section 11 and the second storage section 12 is provided with a lid (specifically, a first lid 13 and a second lid 14), a wire fastener (specifically, a first wire fastener 16 and a second wire fastener 17), and a locking device (specifically, a first locking device 4 and a second locking device 5).

This invention provides a route optimization method for truck-drone collaborative delivery in rural areas. It relates to the field of route planning technology. The method includes: constructing a delivery network comprising delivery centers, ground delivery points, and flight delivery points; dividing customer nodes into multiple delivery clusters; selecting a cluster center for each cluster as the truck's stopping point and the drone's take-off and landing starting point; establishing an integer programming model with the objective of minimizing delivery costs and waiting time costs; solving the integer programming model using a two-layer interactive optimization algorithm; dynamically determining the optimal connection point between the truck's next stopping point and the drone's current path using the golden section method, minimizing the time difference between the truck and the drone reaching that point; and outputting the optimal collaborative delivery route for the truck and drone, including the truck's driving path, the drone's flight path, and the location information of each dynamically connected point.

The application discloses an elevator control method, device and elevator, and relates to the technical field of elevator control, and specifically discloses an elevator control method, device and elevator. The method comprises the following steps: acquiring the elevator taking features of multiple elevator taking users; determining the identity recognition results of the multiple elevator taking users respectively according to the elevator taking features, wherein the identity recognition results comprise ordinary residents and delivery personnel; determining multiple delivery task groups according to the delivery data of the delivery personnel; determining the carpooling benefits according to the elevator taking data of the ordinary residents and the delivery task groups; and determining the elevator control instructions according to the elevator taking features, the delivery task groups and the carpooling benefits. Through accurate identification of the delivery personnel, it is determined whether to control the elevator by using the carpooling strategy of the ordinary residents and the delivery personnel according to the carpooling benefits, so that the efficient use of elevator resources is realized, and the elevator transportation efficiency is improved.

The application discloses a logistics order distribution optimization method and device based on deep learning and a medium, relates to the technical field of deep learning, and comprises the following steps: a deep learning neural network is used to decouple and generate dynamic characteristics representing scheduling rules, so as to construct a spatiotemporal manifold space in which orders and distribution are cooperatively evolved. In the space, an order is defined as a gravitational source, a delivery man is defined as a moving particle, a candidate distribution matrix is generated by calculating the motion force of the particle through a gravitational field model, and screening is performed in combination with logistics business constraint rules. On this basis, a virtual global particle is introduced to iteratively optimize the order access sequence, a globally optimal distribution path is obtained, the path structure is divided into multiple delivery man execution tasks according to the path structure, and finally, an order distribution result is obtained. The application can comprehensively consider order demand changes, distribution capacity states and complex road network environments, realize overall optimization and distribution of logistics orders, improve distribution efficiency and improve the scheduling capability of a logistics system.