Resumen de: US2025182047A1
A method and system for inventory management is disclosed. The inventory management method comprises sensing, via at least one RFID reader, RFID tag information for each of one or more packages based on at least one RFID tag associated with each of the one or more packages. The inventory management method further comprises sensing, via at least one radar sensor, a respective location for each of the one or more packages. The inventory management method further comprises comparing, via an angle alert framework, the respective location for each of the one or more packages with a predetermined manifest information. Thereafter, the inventory management method comprises determining, via one or more processors, a placement of each of the one or more packages based at least on the comparison.
Resumen de: CN120106702A
本发明涉及一种动态空闲天车巡游方法,用于物料搬运系统,包括以下步骤:当一个工作区内有新增空闲天车时,判断所述新增空闲天车是否为当前工作区唯一的潜在空闲天车;如果新增空闲天车不是当前工作区唯一的潜在空闲天车,则判断系统中是否存在没有潜在空闲天车的工作区;如果系统中存在没有潜在空闲天车的工作区,则按任务量由高至低的优先级顺序,选择没有潜在空闲天车的工作区作为目标工作区;并使当前工作区内停留时间最长的空闲天车作为移动空闲天车,驶向目标工作区。本发明优化了整体系统中空闲天车的流动性。
Resumen de: CN120106725A
本公开的实施例公开了物品流转量信息生成方法、装置、设备、介质和程序产品。该方法的一具体实施方式包括:对目标物品对应的历史物品流转时序信息进行特征提取处理,得到历史时序特征信息,其中,历史物品流转时序信息包括历史物品流转量序列;根据历史时序特征信息和预先训练的平滑模型系数信息集合生成模型,生成平滑模型系数信息集合;根据平滑模型系数信息集合和预设平滑模型集合,对历史物品流转量序列进行平滑处理,得到平滑物品流转量序列;根据平滑物品流转量序列和预先训练的物品流转量信息生成模型,生成对应目标物品的物品流转量信息。该实施方式与智能供应链有关,可以减少物品的损耗,节省运输资源。
Resumen de: CN120111140A
本申请提供一种基于多轮交互的物流客服语音通话方法、装置、介质、程序产品及终端,通过第一轮交互查询未完结工单,快速跳转至用户意图处理,其次通过第二轮交互获取运单号并生成运单意图,结合槽位填充验证、运单数据库调用、历史数据库查询等接口调用,精准快速匹配用户需求,最后通过第三轮交互,根据运单意图调用运单状态查询接口,实现物流状态查询、签收未反馈、物流投诉等意图的自动化处理。解决了传统物流客服系统响应慢、流程繁琐的问题,显著提升了物流客服系统的响应效率与用户体验,减少人工干预,实现了高效、精准的物流服务支持。
Resumen de: CN120106747A
本申请涉及一种核电厂的备件储备量确定方法、装置、设备、介质和产品。所述方法包括:根据核电厂群的目标备件的期望寿期和备件更换周期,确定目标备件在期望寿期内的平均更换次数;根据目标备件的平均更换次数、寿期影响参数和期望寿期,以及核电厂群内目标备件的当前安装数量,确定在未来时段核电厂群内目标备件的有效安装位置数量和有效储备量;根据有效安装位置数量、有效储备量和总成本函数,确定在未来时段核电厂群中各核电厂针对目标备件的目标储备量;其中,总成本函数用于描述目标备件在期望寿期内所产生的成本。采用本方法能够准确预测核电厂群内各核电厂在未来时段储备目标备件的储备量。
Resumen de: CN120106305A
本发明涉及物流与供应链管理技术领域,公开了基于一站检平台的产品管理方法,包括以下步骤:S1:构建最优运输问题模型,定义供应商和订单之间的资源流转关系,并以最小化运输成本为目标,计算供应商分配给订单的最优方案;S2:基于博弈论模型,考虑多个供应商之间的策略互动,通过博弈优化供应商资源分配策略,确保资源调度的均衡;S3:采用马尔科夫决策过程,通过实时反馈调整订单流转和资源调度策略,以适应业务需求的动态变化;S4:进行多目标优化。本发明通过基于一站检平台的动态优化和实时数据反馈机制,实现了高效的资源调度和订单流转,确保了资源利用率最大化,交付时效提升,同时优化了成本和服务质量。
Resumen de: CN120106753A
本发明涉及智能仓储管理领域,具体涉及跨平台数据终端智能仓储管理系统及方法。跨平台数据终端智能仓储管理系统,包括:商品分类模块、长期商品预测模块和短期商品预测模块。本发明通过分析商品的历史订单数据,考虑变异系数和变化率标准差等波动特征值,系统能够自动将商品划分为长期供应商品和短期供应商品,这样的分类使得采购策略能够更加灵活和适应市场变化,长期供应商品可以采取更为稳定的采购计划,而短期供应商品则可以快速响应市场波动,实现更高效的库存周转,这使得仓储管理更加精细化和个性化。
Resumen de: CN120106497A
本申请提供一种船舶分段驳运车辆的调度方法及系统,所述方法包括:建立基础数据库;对遗传算法的算法参数进行调节,将每个算法参数以及对应的计算结果配置为训练数据库;基于训练数据库训练生成对抗网络模型;获取实时驳运任务,通过生成对抗网络模型生成实时算法参数;基于实时算法参数以及遗传算法获取实时驳运任务对应的最优驳运任务序列并输出。通过调整遗传算法参数,能够解决算法参数选择困难问题。在进行个体适应度计算时,将路程转化为时间进行计算,提高计算的准确率。通过添加优先度鼓励值计算,能够满足部分任务需要优先调度的需求。还能够量化判断不同方案优劣,适应实际情况变化,实现船舶分段驳运车辆的智能、高效管控。
Resumen de: CN120106737A
本发明提供了一种应用于智能物流的仓储管理系统,包括入库管理模块、出库管理模块、库存管理模块、数据分析模块、自动化设备控制模块、安全监控模块和物流配送模块。本发明通过集成物联网(IoT)、RFID技术、条形码识别、大数据分析、人工智能算法等,实现了仓库运作的高效、精准与智能化。不仅替代了传统人工操作的繁琐与低效,还显著提升了仓库的空间利用率、货物周转速度和客户满意度。通过收集和分析各项数据(如库存数据、订单数据、运输数据等),能够为企业提供精准的决策支持,帮助企业优化仓储和物流管理流程。可提供直观易用的用户界面和操作流程,方便仓库员工进行操作和管理。
Resumen de: CN120106485A
本发明提供了一种自动驾驶车辆的调度方法、装置、设备及存储介质,该方法包括:通过对自动驾驶车辆进行多维度采集和预处理,生成综合数据集。基于综合数据集,对装卸任务进行动态分配和车队协同规划,生成任务分配方案。通过分层搜索算法和多目标优化算法,结合任务分配方案和综合数据集,对车辆的路径进行规划和优化,生成优化路径方案。根据任务分配方案、优化路径方案、综合数据集和车辆实时状态数据,利用预测性分析模型评估和应对运输过程中的潜在风险,生成并执行实时调度指令。本发明结合多维数据采集与处理、动态任务分配、路径优化以及风险预测的调度方法,全面提升自动驾驶车辆的调度效率和安全性,实现高效的物流管理。
Resumen de: CN120106415A
本发明属于军事物资保障业务技术领域,具体涉及一种复杂动态环境下的野战仓库选址方法。所述方法包括:步骤1:技术指标评价体系构建;步骤2:优化目标设计;步骤3:使用快速图聚类算法,决策出最优的野战仓库选址结果。所述方法克服了野战仓库选址决策考虑因素不成体系过于片面的缺点,结合物资供应网络的复杂性和野战物资保障网络的动态性,从多角度评价物资供应网络仓库的选址方案合理性,综合了人工智能、运筹学、智能优化等领域的前沿技术,设计了不同的优化决策偏好,构建具有高度灵活性、柔性、敏捷性与抗毁性的智能野战物资保障网络,实现对抗条件下的野战仓库选址方案的快速生成,有效提高物资保障智能化程度。
Resumen de: CN120106938A
本发明为一种主动售卖机器人系统及其控制方法,属于售卖技术领域,包包括机器人本体、售货平台、信息采集模块、通信单元,机器人本体用于主动移动至目标位置并完成商品交付和交互操作;售货平台,用于数据处理和存储;信息采集模块,用于采集消费者信息;其中,售货平台通过通信单元与机器人本体信号连接,信息采集模块接入售货平台,根据消费者的消费习惯对其购物时间及所需商品进行分析与预判,并将分析结果存储至售货平台;售货平台根据分析结果进行商品配货;机器人本体接收售货平台的配货指令并将商品主动发送至消费者位置,通过交互系统与消费者进行交互以完成交易;售货平台接收并存储交易信息以完善消费者信息数据库。
Resumen de: CN120106774A
本申请涉及进出口管理技术领域,尤其是涉及一种融合多源数据的用户信息处理方法。该方法包括:获取报关模板,分析所述报关模板,确定填写重点;获取上传内容,根据所述填写重点,将所述上传内容与所述报关模板进行关系映射,得到映射结果;根据所述映射结果,进行报关信息填写。从报关系统中提取报关模板,确保获取到的报关模板是最新的、符合最新规定的。明确报关模板中的关键信息字段,为自动填写和信息验证提供依据,减少人工识别和填写的工作量。接收用户在用户端上传的上传内容。通过自动化的映射过程,将用户上传的内容与报关模板的对应字段关联起来,实现报关信息的自动填充,减少人工录入的错误,保证报关信息的准确性。
Resumen de: US2025182885A1
A system for managing milk allocation includes a server and a database. The database stores, for each lot of milk product, lot information that includes a listing parameter of donors, and a lot contribution parameter of each donor. The system also includes a device that reads the lot information associated with a unit of milk product to be administered to the subject, the lot information being for a lot used to fill that unit. The server receives a predetermined feed volume and feed information for a feed administered to the subject, the feed being generated using the unit of milk product. The server calculates the feed contribution of each donor to the feed, and also calculates a cumulative feed contribution of each donor for that subject. When the cumulative feed contribution exceeds a threshold, the server transmits a notification to a user devices of the cumulative feed contribution.
Resumen de: WO2025113958A1
Disclosed is a method, performed by an electronic device, for generating carrier haulage data. The method comprises obtaining historical data associated with one or more previous shipments involving external haulage. The method comprises predicting an external turn time parameter indicative of a turn time of a container handled by external haulage, e.g., by applying a prediction model to the historical data. The method comprises generating, based on the predicted external turn time parameter, carrier haulage data associated with a carrier haulage service. The method comprises communicating the carrier haulage data to a user for booking of a shipment.
Resumen de: US2025182363A1
Disclosed herein is a system and method for increasing the confidence of a match between a test image and an image stored in a library database. One or more transformations are performed on the test image to generate pose-altered images. Features are then extracted from the pose-altered image(s) and, optionally, the test image, and matched with images in the database. The scores for the subsequent matchings can be aggregated to determine an overall probability of a match between the test image in an image in the library database.
Resumen de: US2025182059A1
Techniques are described for dynamic scheduling via a duration-identification model. The techniques may include a service provider receiving information associated with services performed by employees of a merchant, including a duration of the service and an employee performing the service. In examples, a duration-identification model may be trained using the information, wherein the model can output a duration for a particular service with a particular employee. The duration-identification model may be applied to service requests for services to be performed over a given time period. Employee information is received, and a schedule of appointments associated with the service requests is determined that is based on the duration-identification model and the employee information. The schedule includes, for an appointment, an assigned employee and a time.
Resumen de: WO2025114764A2
In at least one example, a method for production analysis modeling for product quality detection includes receiving a review request for a product that includes an identified failure, identifying production analysis data associated with a production process for the product, the production analysis data includes data captured during production of the product, providing the production analysis data for the product to a machine learning model for producing the product to compare the production analysis data to designated data ranges for the product, determining data from the production analysis data that are outside of the designated range identified by the machine learning model, and identifying a cause of the identified failure during the production of the product based on the determined data.
Resumen de: US2025182081A1
A system includes a rack storing items, an interaction device that processes the items, and a master controller that is configured to receive a communication signal from the rack indicating that items have been removed from the rack and determine based on monitoring communication signals from the interaction device whether the removed items were processed by the interaction device within a pre-configured time period from the time the items were removed from the rack. In response to determining that the items were not processed by the interaction device within a pre-configured time period, the master controller transmits an alert message including a number of the items removed from the rack and an identification associated with the items.
Resumen de: US2025182052A1
A system and method for agentless generation of a software bill of materials (SBOM) in a cloud computing environment is disclosed. The method includes: accessing a plurality of workloads in a cloud computing environment; detecting in each workload of the plurality of workloads a software component; generating for each workload an SBOM based on the detected software component; and storing each SBOM in a database.
Resumen de: US2025182051A1
In one embodiment, a method includes determining, by a device executing an observability extension that monitors an application, variables of the application that specify an accessible location for a software bill of materials of the application and generating, by the observability extension, an indication of the accessible location for the software bill of materials of the application. The method further includes detecting, by the observability extension, creation of an observability-based data structure during monitoring of execution of the application and inserting, by the observability extension, the indication of the accessible location for the software bill of materials of the application into the observability-based data structure for transmission to an end recipient of the observability-based data structure.
Resumen de: US2025182048A1
The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; determines data of a first object based upon processor analysis of the LIDAR data, the data of the first object comprising: (i) dimensional data of the first object, and (ii) a type of the first object; and adds the first object and the first object data to a commercial inventory list.
Resumen de: US2025184348A1
A dynamical hierarchical tagging system connected to a user site through a remote communications network. The system may comprise a master controller, a job management server connected to the master controller, one or more scanners in communication with the job management server, wherein the one or more scanners are configured to scan for one or more user assets located at the user site, resulting in scan results, a scan logic processor connected to the master controller, wherein the scan logic processor is configured to store the scan results in a user database, a tagging logic engine connected to the master controller, wherein the tagging logic engine is configured to tag the scan results stored in the user database, and an indexing logic processor connected to the master controller, wherein the indexing logic processor is configured to search and index the tagged scan results stored in the user database.
Resumen de: AU2025203536A1
Disclosed herein is software technology that facilitates improved navigation of a three dimensional view of a construction project. In one aspect, disclosed herein is a Building Information Model (BIM) viewer software tool that may facilitate navigation of the view by 5 adjusting the perspective along either or both of the lateral axes. In another aspect, the disclosed software tool may facilitate navigation of the view by adjusting the perspective directly along the vertical axis. And in yet another aspect, the disclosed software tool may facilitate navigation of the view by adjusting the orientation of the perspective along the two lateral axes and the vertical axis. To facilitate this, the software tool may generate a GUI that presents the view and one or 10 more navigational controls. The software tool may receive a user input via the navigational controls and change the position of the perspective from which the software tool renders the view.
Nº publicación: WO2025117749A1 05/06/2025
Solicitante:
ORACLE INT CORPORATION [US]
ORACLE INTERNATIONAL CORPORATION
Resumen de: WO2025117749A1
Techniques for inventory optimization using a simulation service model are provided. In one technique, a first optimization technique is used to generate, based on demand data, first output that comprises a first plurality of output values, each value corresponding to a node in a multi-echelon system. While using the first optimization technique, a plurality of variable values, each variable value corresponding to a node in the multi-echelon system, is generated. Then, a second optimization technique that is different than the first optimization technique is used to generate, based on the demand data and the plurality of variable values, second output that comprises a second plurality of output values, each value corresponding to a node in the multi-echelon system.