459 results about "Delivery vehicle" patented technology

The invention is suitable for the technical field of production and manufacturing, and provides a material distribution method and device, electronic equipment and a computer program product. Comprising the following steps: acquiring residual material information of each material storage location, vehicle position information and a first working state of each delivery vehicle, and delivery capability information and a second working state of each delivery personnel; according to the residual material information, generating a delivery order and / or a return-to-empty order; determining a target delivery vehicle and a target delivery person according to the delivery order and / or the return-to-empty order, the vehicle position information, the first working state, the delivery capability information and the second working state; and sending the delivery order and / or the return-to-empty order to the target delivery vehicle and the target delivery personnel to instruct the target delivery personnel to complete the delivery order and / or the return-to-empty order through the target delivery vehicle. According to the method, all kinds of information on the production line can be fully acquired and then material distribution is commanded, distribution resources can be fully utilized, and the material distribution efficiency is improved.

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.

Systems, methods, and computer-readable media are disclosed for package sorting systems that facilitate efficient package sorting for delivery. The package sorting system may be a multi-level or single-level fulfillment or sortation center. The package sorting system may include a receiving area for receiving a large volume of packages and placing the packages into containers. The containers may be transported to an unloading area, which may be on a second story. At the unloading area, the packages may be unloaded from containers and placed into destination bins, each package in a destination bin destined for delivery within close proximity to one another. The destination container may be transported to a delivery area. At the delivery area the packages may be loaded into delivery vehicles for distributing the packages. The package sorting system may include drive units and package drive units for transporting containers and / or packages.

The invention relates to an automatic goods delivery device and a delivery vehicle, the automatic goods delivery device comprises a container and a mechanical arm, the container comprises a goods shelf and a container arranged on the goods shelf, the container is provided with a bottom wall used for bearing goods, and the bottom wall is a retractable movable part; the mechanical arm is used for moving the container between the designated position and the container, the mechanical arm comprises a mechanical arm body and a tail end executor installed at the end of the mechanical arm body, and the tail end executor is used for grabbing the container and driving the movable part to be folded to release goods when the container moves to the designated position. The cargo box can contain different types of cargoes, one cargo box is used for achieving standardized design and retractable movable part design in the circulation process, after the roller shutter is retracted, the cargoes automatically fall to the delivery position, only the cargoes are thrown at the tail end, the asset management problem caused by throwing of the container is avoided, and the utilization rate of the container is increased. A power source of the roller shutter comes from a chain wheel on the end effector, and the roller shutter can be driven to be folded only when the end effector is connected with the container.

The invention provides a logistics resource sharing and dynamic optimization configuration method based on the industrial internet in order to solve the technical problems that an existing distribution task distribution mode is mostly based on static data and is not flexible and efficient enough, and most distribution systems do not fully utilize real-time state information of vehicles, so that dynamic adjustment and optimization cannot be achieved in the distribution process. On the basis of perception of logistics resource real-time state information and customer demand dynamic information, a vehicle path model suitable for mixed taking and delivering is constructed, and the model is a multi-target model considering vehicle cost, time window deviation punishment cost and the like. In combination with the state information of the current logistics resources and the dynamic change of the customer demand, the hybrid delivery vehicle path model is solved through an improved adaptive large-scale neighborhood search algorithm to obtain an optimized delivery path scheme, so that the logistics vehicles can dynamically respond to the customer demand in the delivery process, and the delivery efficiency is improved. The method is more flexibly suitable for dynamically changing distribution requirements and complex urban traffic environments, and efficient logistics services are realized.

The invention relates to a multi-store distribution vehicle management method and system, a terminal and a medium, and relates to the field of logistics distribution, and the method comprises the steps: obtaining real-time data, the real-time data comprises store data, vehicle data and traffic data, the store data comprises order demands, inventory states and distribution customer priority information of all stores, and the vehicle data comprises the order demands, the inventory states and the distribution customer priority information of all the stores; the vehicle data comprises vehicle load and volume parameters, and the traffic data comprises road traffic conditions; constructing a data model based on the real-time data; based on the data model, a dispatching algorithm is adopted to generate a distribution plan, and the distribution plan comprises vehicle distribution and distribution paths; and pushing the distribution path to the distribution vehicle. The method has the advantages that the fresh goods can be delivered on time in a fresh-keeping manner, the use efficiency of the vehicle is improved, and the delivery cost is reduced.

A method of operating a fleet optimization system to optimize operation of a fleet of vehicles is provided. The method includes determining a dispatch and routing plan for a fleet of vehicles, and providing the dispatch and routing plan to a fleet management system. The method includes receiving feedback parameters indicating energy / fuel consumption of the fleet operating according to the dispatch and routing plan, and further determining an energy consumption probability distribution for the fleet in response to the feedback parameters. Using the energy consumption probability distribution, the method determines an updated dispatch and routing plan for the fleet of vehicles to optimize delivery and energy consumption objectives.

System and method for utilizing and controlling an autonomous vehicle, hailing a vehicle, and transferring baggage. In an aspect, methods are arranged for navigation and operation of autonomous vehicles. In another aspect, vehicle hailing processes are configured. In another aspect, delivery vehicles are provided. In another aspect, autonomous vehicles and robots are used to transfer baggage at an airport.

The technology described herein is directed to probiotic microbes engineered to secrete at least one enteroendocrine modulating polypeptide, which can be a sweet protein. In some embodiments, the probiotic microbe secretes the enteroendocrine modulating polypeptide in the distal colon. Also described herein are nucleic acids or vectors comprising a coding sequence for the enteroendocrine modulating polypeptide. Also described herein are compositions comprising the engineered probiotic microbe. Methods of using such probiotic microbes and compositions are also disclosed, including methods for modulating enteroendocrine cells and methods for treating metabolic diseases.

A work machine includes a lower traveling body; an upper slewing body that is slewably mounted on the lower traveling body; an attachment that is attached to the upper slewing body; an information acquisition device including circuitry configured to acquire payload information that is information of a weight of an object loaded by the attachment on a bed of a delivery vehicle; and a communication device including circuitry configured to transmit the payload information to a portable terminal device configured to enable wireless communication with the delivery vehicle.

The invention provides a self-adaptive point cloud downsampling method. An original point cloud is obtained based on a laser radar, then a polar coordinate three-dimensional unit is divided according to an azimuth angle, an elevation angle and a distance according to the original point cloud, and then a point cloud distribution condition in each sub-grid is determined based on a grid projection in a two-dimensional direction formed by the azimuth angle and the distance. And if the point cloud distribution condition meets a preset subdivision condition, subdividing the corresponding sub-grids, and adjusting the polar coordinate three-dimensional unit according to the subdivided grids in the two-dimensional direction to generate a target grid unit. According to the method, information loss or redundancy caused by uniform sampling is avoided, and finally, original point clouds in each target grid unit are processed to obtain reduced sampling point clouds, so that key environment characteristics are reserved to the greatest extent while the data volume is reduced, the processing efficiency and precision of a subsequent positioning algorithm are improved, and the requirement of real-time environment perception of the unmanned distribution vehicle is met.

A material delivery vehicle includes a chassis, rear wheels, front wheels, and a passenger cab. The vehicle also includes a material bed, a delivery belt system, and an equipment bed. A walking floor type conveyor is positioned over the floor that moves material within the material bed to a position located at the rear of the material bed. The delivery belt system is mounted directly behind the material bed so that material being moved off the conveyor belt falls directly onto the delivery belt system. The delivery belt system has a conveyor belt with a delivery end. The material bed and equipment bed extend beyond the delivery belt system so as to form a notch adjacent to the delivery belt system. The delivery end of the conveyor belt is similarly positioned above or closely adjacent the frame rail associated with the delivery side.

The utility model discloses a battery replacing system chassis gas circuit of a battery distribution vehicle, which belongs to the technical field of battery distribution and comprises an air compressor and a first gas storage cylinder which are sequentially arranged on a high-pressure gas pipeline, the rear end of the first gas storage cylinder is connected with a battery replacing lock mechanism gas circuit, and a gas pressure sensor is arranged on the first gas storage cylinder. The air pressure sensor is used for detecting the air pressure of the first air storage cylinder and providing a signal for starting of the air compressor when the air pressure of the first air storage cylinder is lower than a set value. According to the system, by arranging the air compressor, sufficient high-pressure gas can be provided for the battery replacing lock mechanism, and the requirement for continuous replacement of the battery replacing battery box on the battery distribution vehicle is met.

The compounds disclosed herein (e.g., compounds having a structure according to Formula (I), (II), (III), (IV), and (V)) are polymers wherein an organic polymeric segment (e.g., a polyethylene glycol (PEG) group) comprises covalent attachments to two or more lipid substructures, and each lipid substructure independently comprises a hydrophobic moiety and a hydrophilic moiety. The compounds provided herein can be useful for delivery and expression of mRNA and encoded protein, e.g., as a component of liposomal delivery vehicle, and accordingly can be useful for treating various diseases, disorders and conditions, such as those associated with deficiency of one or more proteins.

The invention provides an unmanned distribution vehicle path planning method and system, and relates to the technical field of intelligent logistics, and the method comprises the steps: obtaining distribution task point information and environment map data; by improving a sparrow search algorithm, joint optimization is carried out on a distribution task point access sequence and path nodes, and an initial global path is generated; segmenting the initial global path to obtain a plurality of path segments; local dynamic obstacle avoidance is carried out through a dynamic artificial potential field method of real-time fusion sensor data, and a local correction path is generated; carrying out weight analysis on the plurality of optimization targets through an analytic hierarchy process, and constructing a multi-target optimization model; embedding the multi-objective optimization model into a hybrid optimization framework formed by an improved sparrow search algorithm and a dynamic artificial potential field method, and performing global and local collaborative optimization on the local correction path to obtain a global optimization path; and in a simulation environment, verifying the global optimization path through a vehicle dynamics model, and outputting a final planning path.

The utility model provides a password bucket unloading control device for an intelligent sample delivery vehicle, which comprises a plurality of password buckets which are used for storing samples and are arranged in a van type vehicle; and an automatic transfer system, an automatic roller shutter door system, an automatic barrel receiving and conveying mechanism and a control system. According to the utility model, automation and information technologies are applied, so that the in-factory sample transfer is more standardized in management, automatic in equipment, controllable in process, simple and easy to operate and high in practicability.

Various examples of an aerial vehicle and / or aerial vehicle system are disclosed. In one example, an aerial vehicle configured to be coupled to a main aerial vehicle is disclosed. The aerial vehicle may include a propulsion unit coupled to the body to enable independent thrust generation by the aerial vehicle.

The invention provides a distribution planning device and a distribution planning method, which can properly distribute vehicles according to a distribution route. A delivery plan server is a device for planning delivery by a plurality of delivery vehicles, and is provided with: a storage unit for storing delivery information including location information of delivery destinations of a plurality of goods; and a CPU. The delivery vehicles include a first class of vehicles (BEV, FCEV) and a second class of vehicles (ICE vehicles, PHEV) that exhaust or noise more than the first class of vehicles. The CPU creates a plurality of delivery routes (steps S111 to S113) for delivering each of a plurality of groups of goods on the basis of position information included in the delivery information stored in the storage unit, and allocates a first type of vehicle to a second type of route among the created plurality of delivery routes. The second type of route contains more areas with strict exhaust or noise limitation than the first type of route (step S119).

The application provides a unit distribution box and a logistics distribution vehicle with the same. The unit distribution box comprises a storage chamber, an energy storage chamber arranged adjacent to the storage chamber, an energy storage assembly arranged in the energy storage chamber, an energy supply assembly for transmitting energy of the energy storage assembly to the storage chamber, and a controller. The energy storage assembly and the energy supply assembly are in communication connection with the controller. The energy storage assembly comprises a plurality of rows of energy storage devices and energy storage channels for energy carrying agent flow. The energy storage channels are connected to the energy storage devices row by row along the energy storage chamber towards the storage chamber. The inlet of the energy storage channel is located at the energy storage device row farthest from the storage chamber, and the outlet of the energy storage channel is located at the energy storage device row closest to the storage chamber.

This invention provides a distribution control system and method suitable for unmanned delivery vehicles, belonging to the field of intelligent logistics and automatic control technology. The method includes: acquiring order and road condition data in real time to construct a dynamic pressure field map; dividing dynamic responsibility areas based on the map and vehicle locations; calculating the pressure resolution rate of each area and identifying scheduling deadlocks; based on the deadlock state, sequentially executing a two-level collaborative response of local task migration and global responsibility redistribution; predicting and analyzing spatiotemporal conflicts of vehicles at future path nodes; and finally issuing instructions and forming a closed-loop feedback. This invention, employing the aforementioned distribution control system and method suitable for unmanned delivery vehicles, achieves rapid response and adaptive adjustment to order fluctuations and road condition changes by dynamically sensing environmental pressure, quantitatively identifying scheduling bottlenecks, triggering hierarchical collaborative control, and proactively resolving conflicts. This effectively improves the resource utilization efficiency, system resilience, and overall operational stability of the unmanned vehicle cluster.

The invention discloses an unmanned express delivery vehicle control system and method based on operation state perception, and relates to the field of unmanned express delivery vehicle control systems. The method comprises the following steps: acquiring vehicle-mounted data in a driving period through a vehicle-mounted sensor array, performing time alignment and validity marking on the vehicle-mounted data to obtain a data quality label, constructing an evidence item set based on the data quality label, generating a sub-portrait label set according to the evidence item set, and displaying the sub-portrait label set in the driving period. And generating a portrait parameter set based on the sub-portrait label set through a preset priority rule and a persistence judgment strategy. Although the scheme has excellent performance in the aspects of improving system adaptability, safety, dynamic decision-making capability, reviewable performance and resource utilization efficiency, the problems of sensor faults, data loss, real-time data processing bottleneck, label interpretation errors and the like may influence the real-time response and decision-making precision of the system in a complex or extreme environment. Therefore, the overall performance and stability are reduced, especially under the condition of high load or low signal.

A method for nuclear-targeted DNA delivery is provided. An embodiment of the method includes contacting a cell with (a) a nuclear-targeted deoxyribonucleic acid (NTDNA) comprising a DNA nuclear-targeting sequence (DTS) and a cargo nucleic acid heterologous to the DTS. Also provided are compositions for use in practicing the methods of the present invention. What is needed for LNPs to be successful delivery vehicles in such cells is a mechanism for driving DNA transport from the cytoplasm to the nucleus. The inventors have identified methods and compositions to meet the above-mentioned needs.

The utility model relates to the technical field of logistics transportation, in particular to an unmanned distribution vehicle which comprises a shell. A placement cavity is formed in the shell; a controller and a wireless module are arranged in the placing cavity; one end of the shell is recessed inwards to form a strip-shaped groove. A first antenna and a second antenna are rotationally arranged in the strip-shaped slot; the first antenna and the second antenna respectively extend into the placing cavity in a protruding manner and then are electrically connected with the wireless module; a laser radar is arranged in the strip-shaped slot; the sum of the length of the first antenna, the length of the second antenna and the length of the laser radar is smaller than the length of the strip-shaped groove. According to the unmanned distribution vehicle, the first antenna and the second antenna can be accommodated in the strip-shaped slot, so that the overall occupied space of the unmanned distribution vehicle can be reduced; and in addition, the laser radar is arranged in the strip-shaped groove, so that the laser radar is prevented from being directly exposed on the surface of the shell, the laser radar can be prevented from being damaged when the unmanned distribution vehicle collides, and the laser radar is effectively protected.

Disclosed herein is a delivery vehicle based on DNA-inspired Janus based nanotubes (JBNTs) for anti-viral treatment. The nanoparticles (NPs) are based the JBNTs conjugated with targeting moieties such as small molecules, aptamers, and peptides.

Described herein are LAG3 specific single domain antibodies and binding molecules comprising such single domain antibodies, as well as nucleic acids encoding the same. Also provided are nucleic acids (e.g., mRNA) encoding such single domain antibodies and binding molecules and delivery vehicles (e.g., lipid nanoparticles) formulated with said nucleic acids. The disclosure also features methods of using such antibodies, binding molecules, nucleic acids, and delivery vehicles formulated with said nucleic acids to treat various diseases such as inflammatory diseases, T cell driven autoimmune diseases, and cancer (e.g., solid tumors or hematological malignancies).

This makes it easier for recipients to retrieve packages from the cargo compartment of unmanned delivery vehicles. [Solution] The unmanned delivery vehicle 2 comprises a cargo compartment 21, a door 22 that switches between an upright position that closes the cargo compartment and a sideways position that opens the cargo compartment and is connected to the floor of the cargo compartment, a moving unit (first conveyor mechanism 23, second conveyor mechanism 24) that moves the cargo 5 onto the sideways-positioned door, a cargo detection unit (sensor 210) that detects that at least a part of the cargo is located above the door, a communication unit 211 that receives commands regarding the delivery of the cargo, a driving unit that autonomously drives to the delivery destination of the cargo, and a control unit 212. After arriving at the delivery destination, the control unit switches the door to the sideways position, moves the cargo in the cargo compartment onto the sideways-positioned door via the moving unit, and stops the movement by the moving unit based on a detection signal from the cargo detection unit.

1. The name of the design product: automatic driving unmanned delivery vehicle (Z4). 2. The use of the design product: for automatic driving intelligent logistics transportation. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The bottom of the design product is not easy to see or not visible during use, omit the top view.

Nucleotide sequences including a micro-dystrophin gene are provided. The micro-dystrophin genes may be operatively linked to a regulatory cassette. Methods of treating a subject having, or at risk of developing, muscular dystrophy, sarcopenia, heart disease, or cachexia are also provided. The methods may include administering a pharmaceutical composition including the micro-dystrophin gene and a delivery vehicle to a subject. Further, the methods may include administering the pharmaceutical composition a subject having Duchenne muscular dystrophy or Becker muscular dystrophy.

The present invention provides, in part, a cationic lipid based on tris (hydroxymethyl) methylglycine and citric acid having an aromatic head group having formula (I) and its sub-formula: or a pharmaceutically acceptable salt thereof. The compounds provided herein can be used to deliver and express mRNA and encoded proteins, for example, as components of liposomal delivery vehicles, and thus can be used to treat various diseases, disorders, and conditions, such as those associated with the lack of one or more proteins. (I)