114 results about "Delivery efficiency" patented technology

The invention discloses a predictive order dispatching system based on digital twinning, and relates to the technical field of intelligent order dispatching, the predictive order dispatching system comprises four core modules: an urban transport capacity digital twinning construction module integrates order dispatching platform historical orders, real-time traffic flow and urban GIS data, constructs and updates a twinning model, and divides standard grid units; a short-term order demand prediction module obtains grid order, traffic and environment feature sequences based on the model, and predicts order quantity and thermodynamic diagrams in 15-30 minutes in the future; a transport capacity supply and demand gap early warning module analyzes the gap and generates early warning; the active intervention and optimization module generates an instruction according to a preset strategy, dispatches transport capacity through order pre-dispatching and the like, and then evaluates and optimizes the strategy according to feedback. The system realizes order pre-judgment, accurate transport capacity allocation, reduction of supply and demand imbalance, shortening of user waiting time, reduction of operation cost, and improvement of delivery efficiency and service quality.

The invention discloses an intelligent logistics order scheduling method and system, and the method comprises the steps: obtaining a parameter set, the parameter set comprises solid state parameters and dynamic parameters, the solid state parameters are inherent attribute parameters of each order in a to-be-scheduled order queue, and the dynamic parameters are parameters determined according to the dynamic changes of the order queue and an external environment; obtaining a plurality of weight coefficients, wherein the weight coefficient is an importance degree value preset for each parameter; according to the parameter set and the weight coefficient of each parameter, calculating a scheduling priority weight value corresponding to each order through a preset weighting algorithm; ordering the orders in the order queue to be scheduled according to the calculated scheduling priority weight value; and allocating appropriate deliverymen to the orders according to the sequenced order and generating a scheduling instruction. According to the invention, the problems of single logistics order scheduling strategy and difficulty in adapting to real-time dynamic change scenes in the prior art are solved. The distribution efficiency and the resource utilization rate can be improved.

The invention relates to the technical field of bearing sales, in particular to an MES-based bearing sales management system, which comprises a sales management module, a warehouse management module, a stock management module, a statistical report module and a building and repairing cooperation module, and is characterized in that a real-time linkage mechanism is established, and the delivery efficiency is improved; the core problem of order and inventory disjunction is solved, on-demand, accurate and automatic stock-up instruction generation is realized, the repair and manufacturing precision of bearing overhaul and the product consistency are effectively improved, and the operation safety of client key components is guaranteed.

The invention discloses an application version release time consumption prediction method and apparatus, a device and a storage medium. The method comprises the steps of obtaining version information of a target application version; for each release link, determining a plurality of time consumption influence factors based on a target time consumption prediction model corresponding to the release link; based on the version information, determining factor values respectively corresponding to the plurality of time consumption influence factors; through a target time consumption prediction model, the release time consumption is predicted based on the factor value, and the release time consumption represents the manual time consumption for releasing the application version; the target time consumption prediction model is obtained based on the historical version release time consumption of the plurality of application versions in the release link and the plurality of time consumption influence factors through fitting. According to the embodiment of the invention, quantitative traceability of time consumption influence corresponding to a plurality of links can be realized, the accuracy of predicting release time consumption is improved, the actual optimization of an application version release process is guided, the delivery quality and the delivery efficiency of the application version are improved, and the optimal control of the operation cost is realized.

The application provides a reservation type belt warehouse system, which comprises a warehouse device for storing a cargo carrier, a warehousing device for conveying and hanging the cargo carrier into the warehouse device, a delivery device for outputting the cargo carrier stored in the warehouse device, and a warehouse adjusting device for transferring and adjusting the cargo carrier stored in the warehouse device; the warehouse device has a storage type warehouse device and a reservation type warehouse device, the warehouse adjusting device has a cross-warehouse adjusting device for transporting the cargo carrier between the storage type warehouse device and the reservation type warehouse device, and the delivery device is arranged on the reservation type warehouse device. According to the reservation type belt warehouse system, the user can transfer and adjust the recently needed cargo from the storage type warehouse device to the reservation type warehouse device in advance through the warehouse adjusting device, so that the cargo is close to the delivery device, and the delivery efficiency is greatly improved.

Disclosed in the present application are a group-buy data processing method and apparatus, and an electronic device. The group-buy data processing method comprises: displaying group-buy objects having selectable delivery modes; in response to a first user initiating a target group buy for a target object among the group-buy objects, requesting stock keeping unit information of the target object from a service terminal, displaying the selectable delivery modes of the target object, and determining data of an order to be placed of the first user; in response to a target delivery mode among the selectable delivery modes being selected, updating, on the basis of the target delivery mode, a stock keeping unit of the data of the order to be placed; and in response to an order confirmation instruction for the data of the order to be placed, triggering the generation, based on the updated stock keeping unit, of an order of the first user as a first order of the target group buy, the first order comprising information of the target delivery mode. The method solves the problem of how to improve the delivery efficiency of existing group-buy solutions.

The invention discloses a method and a system for publishing and distributing information service, which realize full-process automatic management of application from developer submission and auditing to access party online through unified application uploading, mirror image construction, isolation environment auditing and multi-dimensional automatic verification. The system supports multi-tenant isolated deployment, and a built-in review rule engine completes compatibility, safety and functional verification; realizing cross-environment adaptation based on the standardized container mirror image and the reusable application assets; and dynamic resource scheduling and alarm rollback are supported through a multi-level elastic capacity expansion and contraction and abnormal instance processing mechanism. According to the method and the system, application version multiplexing and operation state visual monitoring can be realized, the delivery efficiency is improved, the operation and maintenance cost is reduced, and the cluster resource utilization rate and the system stability are improved.

The invention provides a request processing method and device, and the method comprises the steps: responding to a received current code merging request associated with a target branch, and obtaining the states of a plurality of code merging entrance guards associated with the current code merging request; on the basis of the weight and the state corresponding to each code merging entrance guard, determining a merging readiness score of the current code merging request; in response to the fact that the merging readiness score is smaller than a set score threshold value, determining a target access control with the maximum weight from at least one unpassed code merging access control; according to the access control failure log associated with the target access control and the first incremental code difference between the source branch and the target branch associated with the current code merging request, merging blocking information is generated and visually displayed, and therefore the automation and intelligence level of the code merging process is improved, and the code merging efficiency is improved. And the problem repairing period is shortened, so that the stability and delivery efficiency of the target branch are improved.

The application discloses a kind of risk data management systems for cross-border supply chain, belong to risk data management technical field, including raw material procurement management module, product warehousing management module, international logistics transportation management module, domestic warehousing management module, domestic distribution management module, comprehensive data management module.The multiple management modules of the present application are set, the information in cross-border supply chain can be managed in a hierarchical comprehensive, the security of information is guaranteed;And by presetting frequency identification graphics on the outer packaging of product, the product's shipment priority level information can be obtained through subsequent identification, and a more reasonable cargo cell unit is determined according to the product's shipment priority level information to store the product, which greatly reduces the delivery time when delivering, improves the delivery efficiency, to some extent, also reduces the warehousing cost, and also improves the user experience.

The invention discloses a causal evaluation method for advertisement putting. The method comprises the following steps: acquiring a plurality of data sets of advertisements put on a take-out platform by merchants operating on the take-out platform; inputting the plurality of data sets into a causal graph mining model set to obtain a first candidate causal graph set; filtering the first candidate causal graph set based on an expert knowledge base to obtain a second candidate causal graph set; obtaining the weight of the path according to the relationship between the node and the path of each second candidate causal graph in the second candidate causal graph set, and aggregating the plurality of second candidate causal graphs based on the weight of the path to obtain a causal assessment large graph; and based on the causal evaluation large graph, evaluating the causal relationship between the advertising parameters and the effect indexes of the merchant advertising. According to the method, the accuracy of advertisement effect evaluation can be improved through accurate causal relationship analysis, the advertisement putting efficiency can be improved, and the putting strategy can be optimized.

The invention discloses a system for quantitatively and automatically distributing screws and gaskets according to process requirements. The system comprises a plurality of sets of tray groups; the on-line caching station is a starting station and is used for placing and conveying an empty tray group; the tray disassembling station is used for sequentially disassembling the empty tray group into single trays; the automatic distribution station is used for distributing gaskets and screws to the trays according to the read two-dimensional code information on the trays; the tray stacking station is used for sequentially stacking the distributed single trays into a tray group; the offline temporary storage station is used for conveying the tray group completing the distribution task; and the main controller is electrically connected with the stations and is used for inputting distribution task information and controlling execution of distribution tasks. The tray is adopted to distribute the screws and the gaskets, the screws and the gaskets can be quantitatively and automatically distributed to the matrix sequence round holes of the tray according to process requirements, and the distribution efficiency and accuracy are greatly improved. The invention further discloses a method for quantitatively and automatically distributing the screws and the gaskets according to the process requirements.

The invention discloses a dynamic task priority scheduling method and system for flexible production, and belongs to the technical field of machine learning and intelligent manufacturing. The method comprises the following steps: collecting equipment state and load data in real time; constructing a weight adjustable optimization objective function of the production efficiency, the resource utilization rate and the delivery date satisfaction rate; generating an initial task priority sequence through a clustering algorithm based on the equipment abnormal characteristics, the task urgency degree and the load data; the priority weight is dynamically adjusted by simulating the environment temperature change; when an equipment fault occurs, the task is redistributed to the standby equipment; and calculating a resource scheduling scheme by adopting a particle swarm optimization algorithm and taking a task priority as a particle position. According to the invention, through multi-dimensional dynamic weight adjustment and real-time fault response, the resource utilization rate of the production line, the order delivery efficiency and the flexible response capability are effectively improved.

The application relates to the technical field of intelligent robots, and provides a service type water delivery robot, which comprises a universal chassis and a delivery support, the delivery support is arranged on the universal chassis, one side of the delivery support is provided with a touch screen and a visual identification module; the delivery support is further provided with a top plate and a water storage layer, the top plate is arranged above the delivery support, and the water storage layer is provided with a plurality of placing barrels which are arranged in an inclined mode and face the outer side of the delivery support. Based on this, the problem of jolting of bottled water during delivery can be solved, the delivery efficiency is improved, and the user experience is improved.

The application provides an order allocation processing method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to a merchant list reported by an order delivery object on a client, obtaining a target business district to which each merchant in the merchant list belongs; the merchant list contains a merchant identifier of a pickup merchant of at least one order of the order delivery object which has been picked up and not delivered; according to the merchants contained in each target business district, obtaining a target merchant list corresponding to the order delivery object; sending the identity identifier of the order delivery object and the target merchant list to an order dispatching system, so as to avoid allocating an order with any merchant in the target merchant list as a pickup merchant to the order delivery object in the order dispatching process; wherein the client triggers the reporting of the current merchant list when it is in an environment outside the business district and detects that the current merchant list of the order delivery object has changed relative to the last reported merchant list. Thus, the order delivery efficiency is improved.

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.

The invention discloses a method for predicting the delivery efficiency of an LNP delivery carrier based on data enhancement and an integrated learning model, and the method comprises the steps: collecting test data, carrying out the enhancement of the test data, and forming a data set of the delivery efficiency of the LNP delivery carrier; dividing a data set; building a model; model training and evaluation; predicting delivery efficiency; according to the method, through data enhancement, the diversity of a data set and the generalization ability of a model are remarkably improved; due to the application of the integrated learning model, the prediction accuracy and robustness are improved; the optimization of the feature engineering enables the model to more accurately capture the rule of the delivery efficiency of the LNP delivery carrier.

The invention provides an automatic detection device which comprises a conveying mechanism used for conveying plates and comprising an information confirmation area and a confluence area, and the information confirmation area is used for confirming plate information; the detection mechanism is located on one side of the conveying mechanism and used for detecting the plates needing to be detected; the carrying mechanism is located on one side of the conveying mechanism and used for grabbing the plates needing to be detected to the detection mechanism and grabbing the qualified plates from the detection mechanism and putting the qualified plates back to the conveying mechanism; according to the automatic detection method, the automatic detection procedure is added in the assembly line conveying process of the conveying mechanism, the plates needing to be detected are extracted while normal operation is not affected, qualified plates are converged into the conveying line again after detection, unqualified plates are screened out, spot check is completed efficiently and accurately, and the detection efficiency is improved. Manpower and time are saved, and the product delivery efficiency is effectively improved.

The invention provides an intelligent generation method and system for a two-in-one label of a full-trusteeship order, and relates to the technical field of logistics management, and the method comprises the steps: obtaining order information; determining multi-dimensional information data of a shop side according to the order information; designing a factory end template according to the order information; performing data synchronization on the multi-dimensional information data and factory end information data; inputting the synchronized data and the order information into a factory end template to generate a label prototype; according to a verification condition, verifying the tag prototype to obtain a verification result; judging whether the verification result passes or not; and generating a two-in-one label according to the verified label prototype. According to the invention, centralized configuration and one-time multiplexing of multi-dimensional information are realized, and the problem of dispersed input of pain points is solved; the requirements of multiple platforms are met through standardized and self-defined template design, and the template adaptation cost is reduced; and the two-in-one label is generated, so that the full-hosting order delivery efficiency is greatly improved, and the manpower and compliance cost is reduced.

The invention provides an automatic deployment method and device for a service system, equipment and a medium, and relates to the technical field of automatic deployment, and the method comprises the steps: reading and executing a deployment script; the deployment script at least comprises an infrastructure service deployment sub-script, a running environment deployment sub-script and a business system deployment sub-script; calling an infrastructure service deployment sub-script, and setting a basic environment required by the operation of the bearing service system on the target server to form at least one virtual machine; calling a running environment deployment sub-script, and setting services required for running the business system on each virtual machine; and calling the service system deployment sub-script, and setting functions provided by the operation of the service system on the Kubernetes cluster to complete the deployment of the service system. According to the technical scheme, one-key automatic deployment is completed through the script integration deployment step, the deployment time is greatly shortened, the deployment delivery efficiency is improved, and then the operation and maintenance cost is reduced.

The present application relates to a kind of meal delivery device and its meal delivery method, meal delivery device includes meal delivery track and meal delivery trolley, the meal delivery track is arranged with several groups of positioning chip at interval inside, the bottom of the meal delivery trolley is equipped with the electromagnetic sensor matched with several groups of the positioning chip.Meal delivery method includes: waiter places meal on meal delivery trolley, then control computer sends out the dispatching instruction;Meal delivery trolley departs, and the electromagnetic sensor in the bottom of meal delivery trolley transmits the position data of meal delivery trolley to control computer after scanning the positioning chip on meal delivery track;The position where meal delivery trolley is currently located is judged by control computer, and path planning instruction is sent to meal delivery trolley;Meal delivery trolley is parked according to path planning instruction and travels to specified table.The position information where meal delivery trolley is located is obtained by electromagnetic sensor and positioning chip in the present application, and preset planning meal delivery path is avoided to collide with multiple vehicles, to improve meal delivery efficiency and reduce failure rate.

The invention discloses an intelligent advertisement putting service optimization system and a putting platform. The intelligent advertisement putting service optimization system comprises a Plan module, a Test module, an Optimization module, a Regeneration module and a Scale module, wherein the Plan module, the Test module, the Optimization module, the Regeneration module and the Scale module are connected in sequence and are subjected to loop iteration. The system adopts a multi-agent collaboration architecture, a planning agent, a test agent, an optimization agent, a regeneration agent and an expansion agent corresponding to each module are configured, and each agent shares information and makes a collaborative decision through a data flow pipeline to form a closed-loop iterative optimization mechanism. According to the system, intelligent collaborative management of the whole advertisement putting process is achieved, the problems of strategy making, effect verification, budget optimization, creativity regeneration, scale expansion and the like in advertisement putting are efficiently solved through module circulation and intelligent agent cooperation, the putting efficiency and effect are remarkably improved, and the full-link advertisement putting requirements of small and medium-sized enterprises are met.

This application provides a method, system, and device for sending parcels. The method belongs to the field of logistics technology. The method includes: obtaining the parcel code information corresponding to the delivery order sent by the business system; after receiving a successful pickup notification from a smart locker, sending a takeoff command to a drone and locking the smart locker; when the drone is preparing to land, sending a landing request to the smart locker; after receiving a landing permission message from the smart locker, landing in the smart locker; after completing the loading according to the loading request sent by the smart locker, sending a loading result success message to the smart locker, so that the smart locker performs calibration and repositioning operations based on the loading result success message and then sends a takeoff notification to the drone; and flying away from the smart locker according to the received takeoff notification. According to this application, by using a drone and smart locker collaborative parcel sending mode, time and resources are fully utilized, improving delivery efficiency and user experience.

This invention discloses a real-time masking system and method for scenes inside windows during drone delivery, belonging to the fields of video processing, artificial intelligence, and drone delivery technology. The system comprises eight modules: drone mounting, video acquisition, AI target detection, masking parameter configuration, masking processing, edge optimization, data storage, and control. The method, based on this system, achieves fully automated masking throughout the entire process. It can accurately distinguish between areas inside and outside the window, masking private areas inside the window in real time with a masking response time ≤0.5 seconds and a transmission delay ≤1 second. Edge feathering optimization eliminates abruptness, supports original video restoration and private storage, balancing privacy protection, delivery efficiency, and compliance requirements. It is applicable to various drone last-mile delivery scenarios, demonstrating strong practicality and scalability.

This invention relates to the field of intelligent delivery and autonomous navigation technology, specifically to an intelligent delivery vehicle. It includes a vehicle body assembly and a charging pile assembly. A transmission assembly is installed at the bottom of the vehicle body assembly, and a top-mounted temperature control and insulation device is installed inside the roof at the top of the vehicle body assembly. A binocular camera and millimeter-wave radar are installed at the front upper part of the roof. A food dispensing port is located at the rear of the vehicle body assembly. A transmission-driven food storage device is installed inside the vehicle body assembly, and temperature sensors and Hall effect sensors are installed on the food storage unit. The transmission-driven food storage device is driven by a drive mechanism. A main control chip is also installed inside the vehicle body assembly. The top-mounted temperature control and insulation device, temperature sensors, Hall effect sensors, transmission assembly, binocular camera, millimeter-wave radar, and drive mechanism are all controlled by the main control chip. This invention achieves full-process automation from order receiving, intelligent loading, dynamic route planning, precise delivery, seamless food dispensing to autonomous charging, adapting to complex campus scenarios, reducing operating costs, and significantly improving delivery efficiency and safety.

The invention discloses an attribute authentication-based express delivery position privacy protection method, which comprises the following steps of: firstly, acquiring delivery physical position information, defining a province-city-region-interest point-expansion bit five-level hierarchical set adaptive to a logistics full link, and generating a dynamic hierarchical code through hash and character confusion in combination with a differential timestamp; a check value is generated through exclusive-or operation and hash of a timestamp and a code, so that the coding integrity is guaranteed; an exclusive key is generated according to the hierarchy, and onion type nested encryption from inside to outside is executed; and collecting identity, time and geographical multi-dimensional attributes to construct an access policy, completing policy binding and attribute verification based on a CP-ABE framework, and decrypting by an authorization subject according to hierarchy and demand. According to the method, hierarchical desensitization, dynamic protection, refined authority control and whole-process integrity guarantee of address information are realized, the method is adaptive to an existing logistics system, privacy security and distribution efficiency are balanced, and attacks such as location mode mining and unauthorized access can be effectively resisted.

The invention belongs to the technical field of 3D printing, and provides a model surrounding shell generation method and device and related equipment, and the method comprises the steps: traversing model data; acquiring a rectangle at the bottom of the axis alignment bounding box of the model; expanding the rectangle according to a preset substrate spacing L1 to obtain a flat substrate rectangular frame; raising the flat substrate rectangular frame according to a preset height H1 to obtain a square frame of the flat substrate; performing external expansion on the rectangle on the plane where the height H1 is located according to a preset safety gap L2 so as to obtain an external expansion reference rectangle frame; performing offset expansion on the external expansion reference rectangular frame according to a preset offset thickness L3 to obtain a rectangular reference annular belt; lifting the rectangular reference annular belt according to a preset height H2 to obtain a square frame of the surrounding shell; and generating a flat substrate composed of triangular meshes and a surrounding shell. According to the method, the model surrounding shell and the flat substrate can be generated, protection on the model body can be enhanced during transportation, the model wrapping complexity can be reduced, and the logistics packaging delivery efficiency can be improved.

The present application relates to the technical field of low-altitude aircraft scheduling, and particularly relates to a low-altitude aircraft cluster task scheduling method and system based on big data, which comprises the following steps: generating a predicted delivery time length through a time sequence feature hybrid model based on historical data of a low-altitude aircraft distribution big data platform, wherein the time sequence feature hybrid model is constructed based on LSTM and Transformer network architecture; constructing an operational decision model with the optimization objective of minimizing the average of multiple predicted delivery time lengths and the decision variable of order allocation mode; and solving the operational decision model based on a multi-objective search strategy to determine the order allocation mode of the low-altitude aircraft cluster. The present application realizes the balance between instant response and global efficiency in low-altitude aircraft cluster scheduling, improves the adaptability of dynamic delay scheduling strategy, and improves the delivery efficiency and reduces the overtime rate.

The invention discloses a production scheduling method based on dynamic changes of orders, and the method comprises the following steps: 1, updating the number of orders in real time, confirming the production priority of each order, obtaining an order production arrangement sequence, analyzing the types and number of to-be-produced products in each order according to the order production arrangement sequence, and determining the number of to-be-produced products in each order; the production arrangement sequence and the to-be-produced yield of various products are obtained; and 2, updating the raw material quantity of various products in the warehouse in real time based on the production arrangement sequence and the to-be-produced yield of various products and the raw material quantity of various products in the warehouse. According to the production scheduling method provided by the invention, the production scheduling priority of each order is confirmed, the production priority of each type of product in each order is formulated, the production completion time of each type of product is estimated based on the factory operation schedule, the production priority of each type of product is adjusted, the production queuing waiting time of order products with high priorities is reduced, and the production efficiency is improved. Orders are prevented from exceeding delivery time, and order delivery efficiency is guaranteed.

The invention relates to the technical field of MES, in particular to a cupboard order splitting and production scheduling method and system based on MES, and the method comprises the following steps: carrying out the parameterized extraction of the physical attributes and processing attributes of a plate based on the BOM data of the cupboard order, and extracting the length, width and thickness of the plate, the material code of an edge sealing band, the hole position distribution coordinates and the model parameters of a milling tool. According to the method, power maps of all batches are mapped to a global time axis, peak value monitoring is carried out, timing sequence translation is actively carried out on low-priority batches causing overrun, and low-energy-consumption auxiliary operations such as code scanning and labeling are inserted into idle windows generated by translation; the scheduling strategy of peak clipping and valley filling ensures the compactness and continuity of the production takt while preventing the factory from touching the maximum demand electricity charge threshold and reducing the energy cost, and realizes the dual optimization of the delivery efficiency and the energy efficiency cost.

The data processing method, device, electronic device and computer readable storage medium disclosed by the embodiments of the present disclosure comprise: in response to receiving a preset event reservation request command, displaying a reservation request detail page, wherein the reservation request detail page comprises preset event prompt information, reservation request prompt information, reservation material submission information and / or a reservation function key; when a reservation object meets a reservation condition, in response to receiving a preset event reservation trigger command, sending a preset event reservation request to a server; and receiving preset event reservation feedback information sent by the server. This technical solution can effectively achieve the reservation of a logistics delivery person and effectively prompt the reservation of the logistics delivery person in a timely manner, thereby greatly improving the delivery efficiency and quality of the logistics delivery person, and further improving the service quality of the Internet platform.