40results about How to "Reduce delivery costs" patented technology

The invention provides a post-earthquake emergency material distribution optimization method considering distribution fairness and demand urgency, and relates to the technical field of emergency logistics multi-target distribution optimization under the background of urban earthquake disasters, and the method comprises the following specific steps: S1, determining a basic hypothesis: considering the actual scene of disaster rescue operation, and making the basic hypothesis for the emergency material distribution problem; s2, establishing an emergency material distribution fairness model; s3, establishing a disaster point emergency material demand emergency degree evaluation index system; s4, establishing a multi-target path optimization model; and S5, solving the established multi-target model by using an improved mixed multivariate universe optimization algorithm. The mixed multivariate universe algorithm based on differential evolution is provided, higher convergence precision and better robustness and uniformity are achieved, the earthquake disaster emergency logistics distribution path optimization accuracy is improved, material demand urgency meeting and distribution fairness are guaranteed, the distribution cost is reduced, and the distribution efficiency is improved. And the disaster victim satisfaction degree and the demand emergency adaptation degree are improved.

The invention relates to the technical field of robots, and discloses a robot laser welding work center material distribution regulation and control method and related devices.The method comprises the steps that a welding production plan and a real-time material inventory condition of a robot laser welding work center are obtained; performing feature extraction on the welding production plan and the material inventory condition to obtain target features of the welding production plan and the material inventory condition; the target features of the two are input into a biologically heuristic material delivery intelligent regulation and control model based on fusion of a particle swarm optimization algorithm and an ant colony optimization algorithm, and a material delivery regulation and control strategy of the robot laser welding work center is obtained; and carrying out corresponding material distribution regulation and control on the robot laser welding work center according to the material distribution regulation and control strategy. According to the invention, timely supply of the materials can be guaranteed, and meanwhile, reduction of material distribution cost and reduction of stock overstock can be effectively realized.

The invention relates to a beverage self-distribution composite coffee pavilion which comprises a pavilion body, an operation area and an ingredient containing area are arranged in the pavilion body, and an operation mechanical arm is arranged on the operation area; a coffee machine used for making espresso coffee, an ice machine used for making ice blocks, a cup falling machine used for storing empty cups, a art printer used for art coffee and an automatic sealing machine used for sealing are arranged on the ingredient placing area; by operating the mechanical arm, long-time work can be achieved, the production efficiency is improved, the mechanical arm can quantitatively add a formula so as to guarantee stable beverage quality, a series of safety and sanitation hidden dangers such as infectious disease virus cross infection are greatly reduced through the distribution mechanism, the beverage is safer in the transportation process, and meanwhile the distribution cost of each order is saved.

The invention discloses a fresh food intelligent distribution method and distribution system, and the method comprises the steps: obtaining a distribution region range and real-time weather data, and deploying a sensor to monitor the transportation and storage environment of fresh food; acquiring historical purchase data of a user, and predicting purchase categories in a special period by using a machine learning algorithm; according to the area range, a distribution route is optimized by adopting an intelligent algorithm; according to purchase data in a special time period, notifying a user of pre-purchase through a short message in advance, and integrating orders to distribute and deliver in advance; the fresh food is automatically recognized, classified and marked by adopting image recognition and voice recognition technologies; an automatic goods shelf, intelligent goods picking and an unmanned aerial vehicle are adopted, and fast and flexible fresh food distribution is achieved; establishing a plurality of supply sources, setting an early warning system, and monitoring each link of a fresh food supply chain; according to the fresh food intelligent distribution method and distribution system, more data sources and advanced prediction models are integrated, intelligent machine learning is adopted, and the fresh food demand prediction accuracy is improved.

The present application relates to a configuration method and storage medium for production logistics distribution resources, the method comprising: determining revised configuration information according to received distribution demand change information; when it is determined that the distribution carrier configuration mode in the revised configuration information is the target configuration mode, based on material target information and alternative cloud vehicle supply information, performing gene coding and population initialization to generate multiple initial structure codes; using a swarm intelligence global optimization algorithm, performing swarm optimization operations on the multiple initial structure codes to generate multiple first structure codes, and based on the distribution cost fitness of the distribution configuration scheme corresponding to the first structure code and the swarm intelligence global optimization algorithm, performing population update optimization on the multiple first structure codes to generate multiple candidate structure codes; among the multiple candidate structure codes, detecting the target structure code, and providing the distribution configuration scheme corresponding to the target structure as the configuration result of the production logistics distribution resources.

The present invention discloses a method for optimizing the location path of a battery swap cabinet for electric bicycles in a takeaway delivery scenario, including S11, determining the problem objectives and constraints; S12, determining the symbolic representation of parameters and variables; S13, establishing a mathematical model; S21, determining the main problem; S22, determining the pricing sub-problem; S31, encoding and evaluating the solution; S32, initialization phase design; S33, branch and bound method phase design; S34, column generation method phase design; S35, label algorithm phase design. When optimizing the location path of a battery swap cabinet, the present invention considers the impact of multiple parking lots and battery swap cabinet capacity design on the location path strategy from the perspective of practical applications, constructs a battery swap cabinet location path optimization model with the goal of minimizing total cost, and uses an improved branch pricing algorithm to solve the optimization model.

The utility model discloses a battery cell assembly line and relates to the field of battery cell production equipment. The battery cell assembly line comprises an X-ray detection module, a tab welding module, a film coating module, a shell entering module, a top cover tab welding module, a top cover shell pre-welding module and a top cover shell final welding module which are connected in sequence. The battery cell assembly line provided by the utility model has the characteristics of small occupied area, low production cost and high production efficiency.

The invention discloses a cold-chain logistics distribution system based on a refrigerator, and relates to the field of cold-chain logistics, the cold-chain logistics distribution system comprises a data management library, a distribution scheduling module and an optimization processing module, the data management library is used for storing and managing logistics data, the distribution scheduling module is connected with the data management library and is used for receiving and processing distribution tasks from the data management library, and the optimization processing module is connected with the data management library. Scheduling personnel distribution according to the distribution task, and updating the information of the distribution personnel currently executing the distribution task to a data management library; and the optimization processing module is connected with the data management library and the distribution scheduling module, and is used for calculating an optimal distribution scheme through an intelligent optimization algorithm according to the distribution task, the urban map and the vehicle position information, generating navigation information and sending the navigation information to the distribution scheduling module. According to the method, the cold-chain logistics distribution path optimization problem is solved, the time window constraint is considered, the method can be flexibly applied to different types of cold-chain logistics distribution scenes, and continuity and stability of cold-chain logistics distribution are ensured.

The invention discloses an air cargo distribution method and device, and relates to the technical field of logistics. A specific embodiment of the method comprises the steps of obtaining historical delivery information of air cargo, determining a first delivery amount according to the historical delivery information and a cargo amount prediction algorithm, and performing booking according to the first delivery amount to determine a first booking amount; obtaining loading capacity, flight information and order deadline of the shopping platform, and determining loading deadline according to the first delivery amount, the loading capacity and the flight information; judging whether the loading deadline is earlier than the order placing deadline; and if yes, carrying out loading and distribution of the air transportation goods according to the first booking amount. According to the embodiment, the delivery cost is effectively reduced, the cargo delivery efficiency is improved, and the user experience is improved.

The invention relates to the technical field of photovoltaic glass coating, and discloses coating equipment for photovoltaic glass and a process thereof, the coating equipment comprises a main body frame, the top of the main body frame is provided with a coating box and a frame plate, the frame plate is provided with a pretreatment mechanism, and the main body frame is provided with a conveying mechanism. Through the design of the pretreatment mechanism, before the photovoltaic glass enters a coating box to be subjected to coating processing, a cleaning roller scrubs the photovoltaic glass firstly, and then the photovoltaic glass is sprayed through a spraying head after scrubbing, so that residual impurities in the scrubbing process are further removed, and when the photovoltaic glass passes through a scraper after spraying, the scraper is in contact with the top of the glass, so that the glass is prevented from being scraped; water stains or other impurities which are not washed away by water flow and are temporarily reserved on the top of the glass can be effectively scraped away, and finally the glass is dried when passing through the position under the exhaust hopper, so that the cleanliness of the surface of the glass is fully guaranteed, and the situation that due to the fact that impurities or water residues exist on the surface, the coating work is adversely affected is avoided.

The embodiment of the invention relates to the technical field of robots, in particular to a distribution control method, a robot and a storage medium, the method is applied to the robot, and the robot comprises a first warehouse, a second warehouse and a partition plate arranged between the first warehouse and the second warehouse; the method comprises the steps that in response to a selection instruction of a storage mode, a partition plate is controlled to be in an open state or a closed state, when the partition plate is in the open state, a first warehouse communicates with a second warehouse, and when the partition plate is in the closed state, the partition plate isolates the first warehouse from the second warehouse; the storage mode comprises a single-bin mode and a double-bin mode, when the storage mode is the single-bin mode, the partition plate is controlled to be in an open state, and when the storage mode is the double-bin mode, the partition plate is controlled to be in a closed state. According to the method, the storage mode is flexibly selected, and the partition plate is controlled to be in the open state or the closed state, so that the method adapts to distribution of objects of different sizes, the distribution cost is reduced, the distribution efficiency of the robot is improved, and the user experience is improved.

The invention discloses an automatic express delivery control method and an automatic logistics cabinet loading control method and system.The automatic express delivery control method comprises the steps that express delivery is controlled to be correspondingly loaded into logistics cabinets at sorting line grids, and one face or multiple faces of each logistics cabinet are provided with multi-bit integrated codes; after each logistics cabinet completing the express loading task is stored in a specified storage area, a transport capacity request order is generated according to the address code and information in the multi-bit-one code; the mobile carriers responding to the transport capacity request orders are controlled to run to the corresponding boxing waiting areas, and the logistics cabinets are controlled to be loaded to the corresponding mobile carriers; and planning a driving path of the unmanned vehicle according to a first-level address in the address code of each logistics cabinet so as to distribute each logistics cabinet to a target post, and decrypting a second-level address in the address code after the logistics cabinet arrives at the target post so as to obtain a specific address of a recipient. The method has the advantages of simplicity in operation, low implementation cost, high execution efficiency, high intelligent degree and the like.

The embodiment of the present invention discloses a delivery control method, device, server, smart cabinet and robot. After acquiring delivery demand information for characterizing the delivery demand of a target order, the method sends a pickup message to the robot in response to the delivery demand information for robot delivery, and controls the smart cabinet to open the first cabinet door of the target cabinet in response to receiving a door opening request sent by the robot, so that the delivery items are transferred to the temporary storage compartment of the robot. The target cabinet stores the delivery items corresponding to the target order. The delivery control method can reduce the delivery cost, improve the delivery efficiency and improve the user experience.

The invention relates to the technical field of logistics, and discloses a logistics supply chain service monitoring system, which comprises a manufacturing monitoring unit for monitoring workshop manufacturing nodes, a storage monitoring unit for monitoring warehouse nodes, and a distribution monitoring unit for monitoring distribution nodes. The manufacturing monitoring unit comprises a component monitoring module, a semi-finished product monitoring module and a finished product monitoring module; the storage monitoring unit comprises a data acquisition module, a data analysis processing module and an early warning generation module; the distribution monitoring unit comprises an order reading module, a distribution analysis module, a distribution screening module and a distribution information sharing module; according to the invention, the transparency and controllability of supply chain visual management are improved, the information interaction between the nodes is enhanced, the monitoring management flexibility of the supply chain is improved, and the inventory supply risk and the distribution cost are effectively reduced.

The present invention proposes an advertising delivery method and system based on user big data analysis. User information and advertising product information are obtained from a background database in real time; the user information includes user IP information, geographic location information and user identity information; the advertising product information includes product type information, product sales information, product browsing information and product search information; the advertising product information in the area where the user is located is obtained based on the user IP information and geographic location information, and the user identity information corresponding to the advertising product is obtained based on the user behavior data. By analyzing user big data, the user's interests, preferences, behavioral characteristics and other information can be deeply understood, thereby achieving accurate target user positioning. Advertisements can be delivered to users who are truly potentially interested, thereby improving the effect and conversion rate of advertising reach.

The application provides a logistics scheduling method and system for electronic commerce trade, and relates to the technical field of computers.The method comprises the following steps: obtaining remote package logistics information, and obtaining at least one lift sharing reservation information corresponding to a remote area as a travel destination; performing preliminary screening on each lift sharing reservation information by using package attributes, package expected arrival time, package delivery address and distribution station address to determine at least one candidate lift sharing reservation information matched; determining target lift sharing reservation information from each candidate lift sharing reservation information based on a logistics scheduling matching model; updating the driving path in the target lift sharing reservation information according to the distribution station address and the package delivery address, and sending a logistics scheduling instruction to a corresponding car owner client. Thus, the package in a remote area is transported by using lift sharing collaborative scheduling, which not only greatly shortens the distribution time, but also greatly reduces the transportation cost.

This invention belongs to the field of dynamic path optimization and discloses a dynamic path optimization method for rider-drone collaborative delivery based on order bundling. It includes constructing a dynamic path optimization model with the objective function of minimizing platform costs and customer satisfaction reduction costs. Platform costs include drone dispatch costs, drone delivery costs, rider dispatch costs, rider delivery costs, and rider salaries. The total delivery optimization period is divided into several order delivery plan re-optimization cycles using time windows. At the beginning of each order delivery plan re-optimization cycle and upon the arrival of a new order, an adjustment to the order delivery plan is triggered. This invention improves the delivery system's responsiveness and overall efficiency in dynamic environments by designing a dynamic optimization mechanism that considers order bundling and a two-stage order bundling strategy. Sensitivity analysis, comparative experiments, and ablation experiments based on simulation examples of different scales are conducted to verify the effectiveness of the proposed method.

The invention provides a project delivery method, device and equipment and a storage medium, which can be applied to the technical fields of proprietary cloud, application software and the like, and comprises the following steps: a management device obtains project information of a target project to be delivered, and downloads a software source component package of the target project from a delivery storage module based on the project information of the target project; based on the N description files of the software source component package, determining a storage address of each software source material in N software source materials corresponding to the target project in a research and development storage module; on the basis of the storage addresses of the N software source materials in the research and development storage module and the project information of the target project, downloading addresses of the N software source materials are generated; and the delivery package of the target project is generated based on the downloading addresses of the software source component and the N software source materials, and the delivery package is stored in the delivery storage module, so that the delivery device downloads the delivery package from the delivery storage module, and the delivery quality of the project is improved.

The invention discloses an unmanned aerial vehicle pod for environmental monitoring, and belongs to the technical field of unmanned aerial vehicle pods.The unmanned aerial vehicle pod comprises a pod body, the top of the pod body is fixedly connected with a lifting lug in a welded mode, and the lifting lug is installed at the bottom of an unmanned aerial vehicle through a suspension device; according to the unmanned aerial vehicle pod for environment monitoring, the unmanned aerial vehicle pod is convenient to put, the putting cost of float type water quality monitoring equipment is greatly reduced, the risk of falling into water due to manual putting is avoided, and when a rectangle is shrunk, a first push plate, a second push plate and a baffle plate limit the float type water quality monitoring equipment at the bottom of a recovery opening; the floating type water quality monitoring equipment can be conveniently and accurately butted with the recycling opening during recycling, the first grabbing assembly can grab the floating type water quality monitoring equipment, the cabin body can conveniently and rapidly recycle the floating type water quality monitoring equipment, and after the floating type water quality monitoring equipment is cleaned, air is discharged from an air outlet pipe to blow water stains on the surface dry; and the float type water quality monitoring equipment can be conveniently cleaned after being recycled.

The present invention relates to the technical field of drone management, and discloses a collaborative distribution system and method for drones and automatic hub stations. The system adopts a multi-level architecture, including a data acquisition layer, a data processing and analysis layer, a business logic layer, an application interface layer, and an infrastructure layer. By integrating drone status, environment, and mission data, the system realizes intelligent task management and scheduling, improves distribution efficiency, and reduces error rate. By using a machine learning model, the system can dynamically plan the optimal distribution path according to real-time environmental data, and effectively manage drone resources to ensure efficient use of resources. The design of the user interface and the system monitoring interface improves user experience and system management capabilities. The implementation of the present invention will promote the development of drone distribution technology and bring innovative solutions to the logistics industry.

The present application provides a multi-scenario material scheduling method and device. The method provided in the present application includes: extracting feature data from historical material scheduling data using a partial layer of a neural network model to generate a scheduling auxiliary knowledge base and training samples; obtaining multi-source data of the workspace to be scheduled, the multi-source data including user demand order data and real-time production data of the workspace to be scheduled; inputting the multi-source data into the neural network model, and predicting the traffic change trend of the workspace to be scheduled based on the constraints of the neural network model and the network map of the workspace to be scheduled; generating an initial scheduling strategy based on the traffic change trend and the business rules in the scheduling auxiliary knowledge base; using vehicle load balancing and material delivery time windows as constraints and historical templates as guidance, optimizing the initial scheduling strategy according to the real-time working status of the workspace to be scheduled, and obtaining a real-time scheduling strategy. The multi-scenario material scheduling method and device provided in the present application are used to complete material scheduling efficiently and accurately.

The invention discloses an internet-based clothing sales system, which belongs to the technical field of clothing sales, and comprises a user experience module for allowing a user to browse, screen and purchase clothing and providing personalized recommendation and shopping experience; and the inventory management module manages the clothing inventory according to the real-time data and realizes replenishment and inventory scheduling. According to the invention, the inventory management function can predict and optimize inventory scheduling according to real-time sales data and demands, avoid excessive inventory and shortage of goods and reduce operation cost, and the multi-channel payment module supports multiple payment modes, so that the payment convenience and safety are improved, the shopping experience of users is further improved, and the user experience is improved. The logistics optimization module can optimize a distribution path, provide various distribution modes, reduce the distribution time and cost, and improve the logistics efficiency, and the whole system improves the cooperation efficiency of each link in the sales process, reduces the operation cost, and enhances the market competitiveness.

The invention discloses an order processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: in response to an obtained first order, obtaining a corresponding merchant identifier from the first order; obtaining an order processing rule corresponding to the merchant identifier, wherein the order processing rule is an order splitting rule and / or an order combining rule; and processing the first order according to the order processing rule, determining a second order corresponding to the first order, and executing a warehouse-out process according to the second order. According to the embodiment, the requirements of different merchants for different order processing rules can be met, the user experience is improved, the delivery efficiency is improved, and the delivery cost is saved.

The embodiment of the application provides a commodity delivery method and device based on user demand, equipment and storage medium, through collecting travel information of a travel application; the travel information is matched with each wish list of a preset commodity database, and the wish commodity of the wish list matched by the travel information is used as a recommended commodity; and the delivery plan of the recommended commodity is determined according to the travel information. Through analyzing the data of the user shopping procedure, personalized commodity recommendation is realized, user satisfaction and conversion rate are improved; the travel information of the user is matched with the wish list, associated delivery is realized, the delivery plan is accurately distributed to the user, and convenience is increased.

The utility model discloses a three-in-one friction belt roller line, which belongs to the technical field of friction belt roller lines and comprises a middle roller line, a fan-shaped middle roller conveying area is arranged at the tail end of the middle roller line, and a left side roller line and a right side roller line are respectively arranged on the left side and the right side of the middle roller line and the middle roller conveying area. The left roller line and the right roller line are matched with the middle roller line to form a fan shape, so that the left roller line, the right roller line and the middle roller line are matched to form a three-in-one state to be in butt joint with output ends of production equipment in different directions; the conveying device is used for being matched with production equipment at different positions to convey products, cartons or turnover boxes through rotation of rollers on the middle roller line, the left roller line and the right roller line, the effect of improving the conveying efficiency of the products, the cartons or the turnover boxes is achieved, and the conveying cost of the products, the cartons or the turnover boxes is reduced.

The invention discloses an article distribution method and device, and relates to the technical field of warehouse logistics. A specific embodiment of the method comprises the steps of obtaining a to-be-delivered first article and a first business department to which a delivery address of the first article belongs; obtaining a first shortest delivery distance when the first business department delivers the first article according to the delivery address of the first article and the delivery address of each second article; for each second business department, obtaining a second shortest delivery distance when the first article is delivered by the second business department according to a delivery address of a to-be-delivered third article and a delivery address of the first article included in the second business department; and determining a target business department according to the first shortest delivery distance and the second shortest delivery distance corresponding to each second business department. According to the embodiment, the shortest delivery distance of each business department is calculated according to the position relation between the delivery addresses of the articles, the determination mode of the target business department can be optimized, the delivery cost of the articles is reduced, and the delivery efficiency is improved.

The present invention discloses a method, device, electronic device and storage medium for determining chlorination flow rate. The method includes: obtaining the historical flow rate and historical cross-sectional area corresponding to the water inlet main pipe; determining the current sampling frequency based on the historical flow rate, historical cross-sectional area and preset acquisition frequency; resampling data based on the current sampling frequency to determine the current sampling data set; determining the target pre-chlorination flow rate corresponding to the target clean water tank residual chlorine concentration based on the current sampling data set and the preset clean water tank residual chlorine concentration prediction model; determining the target post-chlorination flow rate corresponding to the target factory water residual chlorine concentration based on the current sampling data set, the preset factory water residual chlorine concentration prediction model and the target pre-chlorination flow rate; determining the target chlorination flow rate based on the target pre-chlorination flow rate, the target post-chlorination flow rate, the preset pre-chlorination flow rate and the preset post-chlorination flow rate, thereby accurately determining the chlorination amount of the water plant at each stage, thereby controlling the sodium hypochlorite addition accuracy and saving the cost of placement.

The invention relates to the technical field of data processing, and discloses an accurate flow pushing method and system based on user behavior prediction and a storage medium, and the method comprises the steps: obtaining multi-dimensional behavior data of a user, carrying out the preprocessing of the data, obtaining a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a deep learning model and a Bayesian network, and generating user behavior prediction data; performing type sorting on advertisement traffic available to be sent based on the data; pushing parameters are calculated based on DSP real-time bidding data and budget data, the similarity between advertisement types in pushed advertisement flow and the pushing parameters is calculated, and priority distribution and putting are carried out on the advertisement flow according to the similarity; after delivery, delivery feedback data is generated; putting feedback data of the DSP are collected, and advertisement feedback information after advertisement flow is put is obtained from the putting feedback data; and adjusting parameters in a similarity algorithm based on the advertisement feedback information. According to the invention, accurate delivery of DSP advertisements is realized through a more intelligent traffic prediction and push method.