692 results about "Delivery vehicle" patented technology

The invention relates to the technical field of logistics supply chain optimization, and provides an order dynamic distribution optimization method and system based on a user portrait, so as to improve the precision service capability and resource scheduling efficiency in a community retail scene. The method comprises the steps that user behavior data and community merchant inventory data are collected, and the user behavior data comprise an access behavior sequence recorded by intelligent cat eye equipment and a parcel access event triggered by an Internet of Things lock; generating a dynamic demand prediction parameter based on the user behavior data, and constructing a user portrait including consumption cycle characteristics and instant demand intensity; according to the user portrait and the community merchant inventory data, a replenishment order generation operation of a target community merchant is triggered, and a replenishment order comprises a delivery time limit constraint and a category priority identifier; and in combination with the real-time distribution load parameters and the community inventory distribution topology, generating a dynamic distribution path planning result and updating a time sequence control instruction of the distribution carrier.

Systems and methods can enhance efficiencies of order fulfillment processes. For example, this document describes systems and methods for efficiently processing direct-to-customer shipments at a last mile delivery (“LMD”) facility. The systems and methods are focused on rapid loading, unloading and cycling of LMD delivery vehicles through the operation in a space-efficient manner. In some embodiments, the delivery vehicles are cycled through the LMD facility in organized batches to allow high throughput with fast cycle time.

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.

The invention relates to the technical field of logistics order delivery management, in particular to a cross-border e-commerce logistics order management system based on big data, which comprises a data acquisition processing unit, an order clustering delivery unit and a delivery execution feedback unit, the data acquisition and processing unit collects orders, geographic information and real-time traffic data from a cross-border e-commerce platform and performs cleaning preprocessing, repeated orders are removed by using a Hash algorithm, the order clustering and delivery unit clusters the orders by using a density peak clustering algorithm, and the clustering effect is optimized by combining the order emergency degree and the customer loyalty, so that the service quality of the cross-border e-commerce platform is improved. A genetic algorithm is adopted to optimize the delivery sequence, the crossover and mutation probability is dynamically adjusted, a fitness function is calculated by considering the delivery distance, time cost and regional limitation penalty factors, a delivery execution feedback unit sends an optimized route to a delivery vehicle, client feedback evaluation data is collected, a delivery strategy is dynamically adjusted by means of an upper confidence bound algorithm, and the delivery efficiency is improved. And the delivery efficiency and the customer satisfaction are 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.

This disclosure provides improved RNA molecules, including mRNA molecules that can be produced by in vitro transcription and are suitable for in vivo transfection using an appropriate delivery vehicle, such as a lipid nanoparticle (LNP) or targeted lipid nanoparticle (tLNP). The improved RNA include particular combinations of 5' untranslated region (UTR) and 3' UTR, particular 3' UTRs, or particular open reading frame sequences. Also provided herein are compositions of the LNP, or tLNP with an antibody as a targeting moiety, such as anti-CD8 antibodies that are used as targeting moiety.

This disclosure provides improved RNA molecules, including mRNA molecules that can be produced by in vitro transcription and are suitable for in vivo transfection using an appropriate delivery vehicle, such as a lipid nanoparticle (LNP) or targeted lipid nanoparticle (tLNP). The improved RNA include particular combinations of 5′ untranslated region (UTR) and 3′ UTR, particular 3′ UTRs, or particular open reading frame sequences. Also provided herein are compositions of the LNP, or tLNP with an antibody as a targeting moiety, such as anti-CD8 antibodies that are used as targeting moiety.

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 the technical field of logistics management, and discloses an operation and control analysis method, device and equipment based on logistics transportation, and a medium, and the method comprises the steps: carrying out the preprocessing of to-be-controlled waybill data, removing invalid data, and screening an effective delivery record as a judgment basis; establishing a multi-layer affiliation relationship according to the judgment basis and marking label information; inputting the waybill data, the corresponding multi-layer affiliation relationship and the label information into an abnormal path identification model, and outputting an abnormal type corresponding to the waybill data, wherein the abnormal type at least comprises trunk line empty running, advanced departure and non-network area recovery type anomalies; and generating an abnormal path trend according to the waybill data and the corresponding abnormal type, and generating delivery optimization information according to the abnormal path trend, the delivery vehicle corresponding to the waybill data and the main delivery area so as to perform delivery optimization on the waybill data within the set time and distance range. The method is suitable for intelligent management of logistics enterprises on delivery path optimization, transport capacity scheduling and operation efficiency improvement.

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, which is for guiding a plurality of container handling vehicles, includes a first set of parallel rails arranged in a horizontal plane and extending in a first direction, and a second set of parallel rails arranged in the horizontal plane and extending in a second direction which is orthogonal to the first direction, which first and second sets of rails form a grid pattern in the horizontal plane including a plurality of adjacent container handling vehicle grid cells. Each container handling vehicle grid cell includes a container handling vehicle grid opening defined by a pair of neighboring rails of the first set of rails and a pair of neighboring rails of the second set of rails. The delivery column is adapted for transport of a storage container arranged in a stack of storage containers beneath the container handling vehicle rail system between a container handling vehicle and a delivery port situated at a lower end of the delivery column. The delivery system includes a remotely operated delivery vehicle. The remotely operated delivery vehicle includes a vehicle body, rolling devices connected to the vehicle body, rolling device motors for driving the rolling devices in a horizontal plane, and a power source connected to the rolling device motors. A container carrier is 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.

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.

Provided herein are circular RNA constructs comprising an IRES, and at least one expression sequence encoding binding molecule, compositions thereof, and methods of treating autoimmune disease. In particular, circular RNA comprising an IRES and a CD19 binder or a BCMA binder are provided, optionally formulated with a delivery vehicle. Precursor polynucleotides comprising an IRES, and at least one expression sequence encoding a CAR construct are also described herein.

A blood cell-based therapeutic agent delivery system is disclosed. A blood cell-based therapeutic agent delivery vehicle is useful for delivering a therapeutic agent into a recipient organ cell. The blood cell-based therapeutic agent delivery vehicle is made by a method comprising encapsulating the therapeutic agent into a lipid nanoparticle to produce a therapeutic agent-containing lipid nanoparticle, and transfecting the therapeutic agent- containing lipid nanoparticle into a blood cell by incubating the therapeutic agent-containing lipid nanoparticle with the blood cell to form a transfected blood cell. The administration of the transfected blood cell causes the transfected blood cell to be in close proximity to or direct contact with the recipient organ cell, thereby causing a transfer of the therapeutic agent into the recipient organ cell. A composition for a blood cell-based therapeutic agent delivery vehicle for use in delivering a therapeutic agent into a recipient organ cell is also disclosed.

A parcel delivery system, metho and apparatus having a delivery receptacle 1 that is securely affixed to a ground surface 11 located at a consumer's residence 12 or place of business that provides a location signal to a delivery vehicle 22 which has a lid 5 that can be opened by a signal from a delivery vehicle driver to drop in a parcel and closed by another signal while activating an App to notify a consumer with details that a parcel has been delivered. The delivery receptacle would preferably have cushioning material 8 on interior walls to allow a driver to toss a parcel even though unpackaged into the receptacle without damage, thereby making protective packaging unnecessary. A solar panel 21 with battery provides electrical power to the receptacle.

The invention discloses an unmanned delivery vehicle path optimization system and method based on real-time road condition prediction, and the system comprises a road condition prediction module which is used for collecting and analyzing road condition information in real time; the path planning module is used for dynamically generating an optimal distribution path according to the road condition prediction data; the energy consumption optimization module is used for calculating energy consumption of different paths and selecting the path with the lowest energy consumption; the safety monitoring module is used for monitoring the running state of the unmanned distribution vehicle in real time; the distribution task management module is used for managing distribution tasks; the communication module is used for carrying out data interaction with the cloud server and other unmanned distribution vehicles; the user feedback module is used for feeding back the distribution state and the predicted arrival time to the user; according to the invention, the distribution path can be dynamically adjusted through real-time road condition prediction, and the distribution time is reduced; the path with the lowest energy consumption is selected through the energy consumption optimization module, so that the operation cost is reduced; the vehicle state is monitored in real time through the safety monitoring module, and the risks of collision and route deviation are reduced.

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 present invention proposes a method and system for intelligent food distribution control based on big data, wherein the method includes: real-time collection of the temperature and humidity of the delivery compartment during the delivery process, collection of the location information and speed of the delivery vehicle, and acquisition of sensitive parameters of the food delivered in the delivery vehicle; acquisition of all accessible paths, and use of a prediction model to predict the remaining freshness time of the food delivered on all accessible paths based on the current internal environmental parameters of the compartment, the freshness status data of the food, and the subsequent path parameters, wherein the path parameters include weather and road conditions, and selection of accessible paths in which the difference between the remaining freshness time and the arrival time of the accessible paths does not exceed a preset time threshold; and acquisition of the accessible path with the lowest cost calculated by the environmentally sensitive supply chain cost model from the selected accessible paths. Through this method and the corresponding system, it is ensured that the food arrives at the lowest cost and maintains optimal freshness upon delivery completion, thereby reducing quality losses caused by transportation.

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 control system includes a first controller configured or programmed to control an operation of discharging a harvested crop of an agricultural machine, and a second controller configured or programmed to control an operation of the transport vehicle so that the transport vehicle travels by automated driving and to perform a control to increase a distance between the agricultural machine and the transport vehicle while the agricultural machine makes a turn, compared to when the agricultural machine is traveling while harvesting the crop.

The invention discloses a battery replacing method and system for a battery distribution vehicle, and the method comprises the following steps: S1, taking out a power-deficient battery from a vehicle body to be replaced by a battery replacing device of a mobile battery replacing station, and loading the power-deficient battery into a turnover bin of the mobile battery replacing station or a transit bin of the battery distribution vehicle; s2, taking out the fully-charged battery on the mobile battery swap station or the battery distribution vehicle by the battery swap equipment of the mobile battery swap station, and loading the fully-charged battery on the vehicle body to be subjected to battery swap; repeating the steps S1-S2 until the battery replacement of the to-be-replaced vehicle body is completed; s3, the battery replacing equipment of the mobile battery replacing station takes out the low-power batteries of the mobile battery replacing station, loads the low-power batteries into the battery distribution vehicle, and loads the full-power batteries on the battery distribution vehicle into the mobile battery replacing station; and the step S3 is repeated until all the fully-charged batteries of the battery distribution vehicle are transferred to the mobile battery swap station. On one hand, the problem of low efficiency of charging in independent operation of the mobile battery swap station can be solved, and on the other hand, battery storage can be provided for operation of the mobile battery swap station.

A delivery vehicle is described. The vehicle may include a holding mechanism configured to hold a plurality of containers within the delivery vehicle. The plurality of containers may be configured to store a plurality of packages. The vehicle may further include a memory configured to store a first information including package attributes of each package and a mapping of each package with a container of the plurality of containers. The vehicle may further include a processor configured to obtain the first information from the memory. The processor may be further configured to determine a target location to load a target package or a target container in the delivery vehicle based on the first information. The processor may further activate a vehicle interior visual or audio component to indicate the target location in the delivery vehicle to load the target package or the target container.

A vehicle is provided. The vehicle includes a wheel arrangement having a pair of front wheels and a back wheel configuration. The vehicle further includes a frame that is coupled to the wheel arrangement and a steering assembly mounted at a front portion of the frame. The vehicle further includes a battery unit that is disposed on a support portion of the frame and a pedal unit that is mounted at a middle portion of the frame. The vehicle further includes a rear carrier that is proximal to the back wheel configuration and configured to support a cargo container. The vehicle further includes a rear suspension that is mounted on a rear portion of the frame in proximity to the back wheel configuration.

Described herein is a DNA nanotechnology-based platform for the delivery of nucleic acids into cells. The delivery platform relies on compacting cargo mRNA and / or ssDNA into single folded nanostructures that act as the primary structural vehicle material for nanoparticle delivery to cells. The described compositions and methods provide an alternative to packaging mRNA or ssDNA into lipid nanoparticle vehicles, which have complex formulation properties. Also described herein are strategies for protecting mRNA and / or ssDNA cargo and helping these nucleic acid molecules escape the endosome into the cytoplasm using a cationic peptide-PEG coating.

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.

The invention provides a substation bayonet automatic receiving method, which belongs to the technical field of substation material management, and specifically comprises the following steps: carrying out receiving task matching based on a receiving application, selecting a receiving bayonet and setting a corresponding acceptance rule; setting corresponding scanning parameters according to the position information of each code scanning node of the goods receiving bayonet; scanning real object IDs of goods on the delivery vehicle, comparing two adjacent code scanning results of the code scanning nodes at the beginning of the cycle, calculating a corresponding code scanning deviation distance, and correspondingly adjusting scanning parameters of each code scanning node until the real object IDs of all goods on the delivery vehicle are obtained so as to perform acceptance rule verification; and generating a cargo acceptance policy according to the verification result, and scheduling the cargos on the distribution vehicle. According to the invention, a plurality of code scanning nodes are arranged to cooperate with each other to carry out code scanning acceptance of goods, and in the scanning process, deviation possibly occurring in the goods acceptance process is compensated through corresponding adjustment of scanning parameters, so that the accuracy of a code scanning result is ensured.

A robotic delivery system includes a server, a dispatch module, and a robotic delivery vehicle. The dispatch module transmits a suggested item to the dispatch application being executable on a client device operated by a user; and receives, from the dispatch application, a selection of the suggested item from the user of the client device.

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.

This disclosure provides improved RNA molecules, including mRNA molecules that can be produced by in vitro transcription and are suitable for in vivo transfection using an appropriate delivery vehicle, such as a lipid nanoparticle (LNP) or targeted lipid nanoparticle (tLNP). The improved RNA include particular combinations of 5' untranslated region (UTR) and 3' UTR, particular 3' UTRs, or particular open reading frame sequences. Also provided herein are compositions of the LNP, or tLNP with an antibody as a targeting moiety, such as anti-CD8 antibodies that are used as targeting moiety.