254 results about "Delivery vehicle" patented technology

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 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.

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 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.

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.

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.

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)

Novel nanoconjugate compositions, such as nanoparticle-oligomer arrays (NOAs), and related methods for precision therapeutics and molecular diagnostics. These compositions comprise a core, optionally a nanoparticle core, and a plurality of oligomeric strands forming a dense, highly oriented three-dimensional scaffold. This scaffold architecture is engineered to position functional molecules precisely at desired distances from the core and / or the external surface, thereby controlling their physical and chemical interactions with the core and / or microenvironment, enabling distinct functionalities not observed with the functional molecules in an unstructured formulation.

1. The name of the design product: campus unmanned express delivery vehicle. 2. The use of the design product: the design product is used for the delivery of campus express. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The utility model relates to an adjustable goods shelf structure of a 5G unmanned delivery trolley, which belongs to the technical field of unmanned delivery trolleys and comprises a trolley body, a mounting cavity is formed in the trolley body, a receiver used for receiving 5G signals is fixed on the inner wall of the left side of the mounting cavity, and two wheels are fixed on each of the front side and the rear side of the trolley body. Stabilizing plates are fixed to the left side and the right side of the vehicle body correspondingly, a lifting mechanism for providing unfolding power is arranged on the inner side of the vehicle body, and an unfolding assembly for bearing goods is arranged at the top of the lifting mechanism. According to the adjustable goods shelf structure of the 5G unmanned goods conveying trolley, goods only need to be placed at the top of an unfolding assembly in daily use, if the goods are too large, a lifting mechanism can be started to promote a lifting plate to ascend and descend, the lifting plate can drive two moving plates to move outwards when ascending, and the device receives a 5G signal through a receiver, so that the trolley is controlled to walk; and through cooperation of the lifting mechanism and the unfolding assembly, the size of the goods shelf can be adjusted, and the goods delivery stability is improved.

The invention provides an unmanned distribution vehicle with an automatic loading and unloading function, and relates to the technical field of intelligent logistics. The unmanned distribution vehicle comprises an automatic driving vehicle, a fork lifting device, a fork translation device and a cargo cage supporting device, the automatic driving vehicle comprises a vehicle frame and a cargo compartment arranged on the vehicle frame, a compartment opening communicated with the interior is formed in the end face, away from a vehicle head, of the cargo compartment, and the fork lifting device is arranged on the vehicle frame and located below the compartment opening; the pallet fork translation device and the cargo cage supporting device are both arranged in the cargo compartment, the cargo cage supporting device is provided with two cargo cage supporting assemblies which are opposite in the width direction of the cargo compartment and are spaced from each other, and the pallet fork translation device is located between the two cargo cage supporting assemblies; wherein the cargo cage is lifted through the pallet fork lifting device, the cargo cage is moved into / out of the cargo compartment through the pallet fork translation device, and the cargo cage is supported through the two cargo cage supporting assemblies. On the basis, automatic loading and unloading of the cargo cages are achieved, the labor intensity of workers is low, and the distribution efficiency and safety are higher.

Provided herein are compositions and methods for identifying effective delivery vehicles (DVs) for mRNA delivery to and expression in specific cells or tissues in culture (in vitro) or in live animals (in vivo) from a pool of co-administered DVs.

An autonomous delivery vehicle having one or more caster wheels that may be held off the ground for a portion of the time that the autonomous delivery vehicle travels. Each caster wheel is mounted in a pivot with a centering mechanism to hold the caster wheels in a design orientation. The caster wheel in the design orientation maximizes the view of forward-looking sensors on the autonomous delivery vehicle. The centering mechanism uses a compression spring that drives a follower and swashshaft to apply a rotation force on the caster wheels. The rotational force urges the casters frame and wheels to return to a design position. The rotational force increases with the rotational difference between the caster rotational position and the design position.

The invention is suitable for the technical field of distribution vehicle dispatching, and particularly relates to a distribution vehicle dispatching method and system, and the method comprises the steps: delimiting a dispatching region of a distribution vehicle, setting the deployment position of a Bluetooth receiver, drawing a plane distribution diagram of the dispatching region, and marking a movable path of the distribution vehicle. The plane distribution diagram is issued to the user terminal; feedback information uploaded by the user is received, the feedback information at least comprises a self-pickup point marked in the movable path, and after the Bluetooth receiver collects a Bluetooth signal of the user, a selection popup window is pushed to the user terminal. According to the invention, by determining the change position, the accuracy of taking the express can be further improved, and a prompt is sent immediately when the user takes the wrong express, so that the transportation capacity of the delivery vehicle is fully utilized, the delivery problem of the last hundred meters is effectively relieved, the economical efficiency and the resource utilization rate of the whole delivery are greatly improved, and the user experience is improved. And meanwhile, the user can conveniently receive the express parcels in an all-weather manner.

This invention discloses an intelligent optimization method and system for cold chain delivery routes of hot pot ingredients in multiple temperature zones, belonging to the field of delivery optimization technology. The method includes: acquiring initial delivery order information, current vehicle location, vehicle energy status, and initial loading status of each refrigerated compartment; planning the initial driving route and adaptively generating a matching initial energy and temperature management plan for multiple temperature zones; when a new delivery order is received, selecting a target delivery vehicle from the fleet based on the route matching degree and the impact of the new order on the existing temperature management plans of each vehicle; updating the driving route and multi-temperature zone energy and temperature management plan of the target delivery vehicle, and executing the delivery. In summary, the advantages of this invention are: by deeply coordinating and dynamically optimizing delivery route planning and multi-temperature zone energy and temperature management, it improves the overall energy utilization efficiency of the delivery system while ensuring the storage quality and delivery timeliness of hot pot ingredients in multiple temperature zones.

The invention provides a scheduling duration adjustment method and device based on a gain model, a product and a medium. The method comprises the steps of obtaining a to-be-distributed delivery order set with an association relationship; constructing an order relation graph of the order set; inputting the order relation graph into a gain model, so that the gain model extracts a graph embedding vector of the order relation graph based on a graph neural network, and predicts a gain value corresponding to each order under one or more predefined duration adjustment strategies for each order based on the graph embedding vector; the duration adjustment strategy comprises a strategy for performing duration adjustment on the initial scheduling duration; the gain value characterizes the probability gain that the order and other orders in the order set are distributed to the same delivery capacity relative to the non-execution of the order execution duration adjustment strategy; and determining a final adjustment strategy of the initial scheduling duration of the order according to the gain value of the order.

This invention discloses a goods delivery vehicle and an unmanned delivery system, relating to the field of vehicle technology. The specific implementation of the method includes: a cargo compartment having one or more cargo channels; a first conveyor belt installed in each cargo channel for transporting goods; and a transfer mechanism for receiving goods from the first conveyor belt and transferring the goods outside the cargo compartment. This implementation uses the cargo channels within the cargo compartment and the first conveyor belt within those channels to transport goods from the cargo compartment to the transfer mechanism, and then the transfer mechanism transfers the goods outside the cargo compartment, thereby achieving automatic unloading of goods from the cargo compartment of the goods delivery vehicle. This saves a significant amount of manual operation, reduces delivery costs, and improves delivery efficiency.

1. Name of the product in this design: Fast Food Delivery Vehicle. 2. Purpose of this design: for field transportation and heating of fast food. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention provides an intelligent transport robot for logistics distribution, relating to the field of logistics delivery vehicles. It includes: a base, a lifting mechanism, a lifting mechanism, a translating mechanism, a linkage mechanism, and a guiding mechanism; the translating mechanism is mounted on the base, and the lifting mechanism is mounted on the translating mechanism; the lifting mechanism is mounted on the lifting mechanism; the linkage mechanism is installed between the translating mechanism and the lifting mechanism; the guiding mechanism is installed on the upper surface of the base; the linkage mechanism includes: a mounting plate, a rotating seat, a slot, a turntable, a sliding arm, and an extension arm; the mounting plate is mounted on the top of the translating mechanism; the rotating seat is rotatably mounted on the top of the mounting plate. It can center the goods before lifting them, ensuring that the goods do not deviate or tilt while being picked up, and can automatically complete a 90-degree turn of the goods, facilitating precise positioning during goods transfer.

A method for pairing a tank delivery connector including a magnetic sensor and first network interface hardware with a product delivery vehicle system including a magnet and second network interface hardware, the method comprising: positioning the tank delivery connector proximate the magnet of the product delivery vehicle system; generating an output signal with the magnetic sensor in response to the positioning of the tank delivery connector proximate the magnet; in response to the output signal generated by the magnetic sensor, transmitting a message including an identifier with the first network interface hardware of the tank delivery connector; receiving the message with the second network interface hardware of the product delivery vehicle system; and in response to receiving the message, pairing the tank delivery connector and the product delivery vehicle system.

1. The name of the design product: box delivery vehicle. 2. The use of the design product: for material box identification and transfer. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

Delivery vehicle is described and depicted which serves for delivery, in particular autonomously, of consignments to different sites along a delivery route, with a loading space comprising a shelf system for shelves containing consignments. In order to save time and cost for delivery or hand-over of consignments along a delivery route, it is provided that the shelf system is configured to receive shelves in a plurality of storage positions for provision of the shelves and in at least one extraction position for extraction of consignments from the shelves, and that the shelf system has at least one adjustment device for adjusting, in particular moving, the shelves of the shelf system between several storage positions and the at least one extraction position.

Provided are methods and compositions for screening / identifying / characterizing nucleic acid delivery vehicles (e.g., liquid nanoparticle (LNP) formulations). Provided is a library of nucleic acid delivery vehicles with different chemical compositions, where the members of the library are barcoded by virtue of including a barcoded RNA molecule (in some cases a barcoded ligation-ready RNA molecule). The barcoded RNA molecule includes a first ribozyme, a second ribozyme, and a barcode sequence between the first and second ribozymes. Once a barcoded RNA molecule is successfully delivered into a cell, the first and second ribozymes cleave the barcoded RNA molecule to produce a 5'-OH end and a 2',3'-cyclic phosphate end, which ends can be ligated to one another by an intracellular RNA ligase, producing a circular RNA (cRNA) that includes the barcode sequence. Detecting barcode sequences from cRNAs therefore identifies the chemical composition of successful delivery vehicles.

An example method can comprise receiving an indication of a scheduled delivery at a remote computing device and from a first device. The indication of the scheduled delivery can comprise one or more delivery parameters. A delivery schedule comprising the indication of the scheduled delivery can be transmitted from the remote computing device to a second device. A delivery update adjusting one or more of the delivery parameters can be received from a third device, and the delivery schedule can be updated based on the received delivery update. The updated delivery schedule can be transmitted to the second device. One or more security actions can be performed on a delivery vehicle based at least in part on the updated delivery schedule.