Resumen de: US2024132277A1
A refuse collection system includes a refuse collection robot and a refuse depot. The refuse collection robot includes a chassis, a tractive element coupled to the chassis, a motor coupled to the chassis and the tractive element and configured to drive the tractive element to propel the refuse collection robot, a refuse container coupled to the chassis and defining a first storage volume, and a controller operatively coupled to the motor. The refuse depot includes a centralized storage defining a second storage volume and a refuse actuator configured to transfer refuse from the first storage volume to the second storage volume. The controller is configured to control the motor to propel the refuse collection to a pickup zone associated with a customer in response to receiving a request for refuse collection from a user device associated with the customer.
Resumen de: CN120051829A
Embodiments of the present disclosure include systems and methods for secretly generating shipping orders for clinical trials. The method includes receiving a plurality of provisioning orders associated with one or more clinical trials, and determining clinical trial studies, site locations, and treatment types. The first plurality of provisioning orders is dispatched to the packaging station based on the station location. The method further includes associating a first subset of the first plurality of provisioning orders with a first assembly procedure, associating a second subset of the plurality of provisioning orders with a second assembly procedure, and randomly assigning a plurality of kit identifiers to the first subset and the second subset, thereby creating a plurality of blind method kits. The method further includes secretly generating a shipping order for the first plurality of clinical trials based on the plurality of blind assay kits.
Resumen de: WO2024069414A1
An automatic system for tracking an object or batch of products within a work area such as a yard or an industrial building comprising at least one emitter asset tag (20) that can be uniquely associated with the object or batch (L) of products, at least one device (9) comprising at least one receiving unit (15) defining a first action area (101) and a central unit (30) operably connectable with said at least one device (9). When the emitter asset tag (20) is within the action area (101), the central unit (30) detects the presence of the at least one emitter asset tag (20).
Resumen de: WO2024069327A1
A system (10) for the identification of duplicate records, relating to identical or equivalent materials, in a master file of industrial materials, which comprises a master file memory unit (20) configured to store the master file of industrial materials comprising a plurality of records, each master file record comprising a text description of a respective industrial material. The system (10) further comprises: - a categorization module (15) configured to associate the text description of the industrial material comprised in each master file record, and therefore the master file record, with a respective category selected from a plurality of categories which are defined in a standard taxonomy and represent respective types of industrial material; - a search module (16) configured to discover and extract at least one item of technical information about the industrial material from the text description comprised in each master file record, via the recognition of a respective pattern from a group of technical information patterns associated with the category selected by the categorization module (15); and - an analytical memory unit (22) configured to store the standard taxonomy comprising the plurality of categories that represent respective types of industrial material, and a plurality of technical information patterns grouped according to the plurality of categories of the standard taxonomy.
Resumen de: US2024111284A1
Systems and methods for fleet management of remote driving systems may include a plurality of vehicles and a plurality of teleoperators. A fleet management system may receive a plurality of tasks, and may generate or optimize assignment or allocation of the plurality of tasks to various combinations of the vehicles and teleoperators. Because the teleoperators are decoupled from the vehicles, and because the teleoperators may be dynamically coupled to vehicles via network connections to remotely operate vehicles, performance of the plurality of tasks may be optimized to improve cost, time, and efficiency associated with fleet management of remote driving systems.
Resumen de: WO2024068571A1
The present invention relates to systems and methods to optimize a supply chain. Various embodiments of the present invention relate to systems and methods to optimize a multi-distribution-level supply chain and, more specifically but not limited, to systems and methods to optimize a multi-distribution-level supply chain via a machine-learning model based on reinforcement learning.
Resumen de: US2024112760A1
Examples are disclosed that relate to using natural language processing (NLP) to determine a recipe for a chemical synthesis described in a text to create a life cycle inventory (LCI). One example provides a method comprising receiving an input of a text from a publication comprising a description of a chemical product, and analyzing the text using NLP to determine a recipe for the chemical synthesis, the recipe comprising and action and action metadata, the action metadata comprising a reactant. The method further discloses obtaining LCI information for the reactant, determining an energy utilized for the action, and creating an estimate of an environmental impact for the product.
Resumen de: AU2023353010A1
A method for custom fitting and manufacturing parametric products comprising: generating a plurality of parametric models of a custom product based on, at least in part, past learned data pertaining to the custom product; generating a first user interface comprising at least a first graphical representation of the custom product, and displaying the first user interface on a computer display device; receiving a plurality of adjustment parameters for improving a fit of the custom product in relation to user-specific data; based on the adjustment parameters and the plurality of parametric models, determining two particular parametric models; generating a parametric fit model having a plurality of fit model parameters by interpolating between one or more corresponding control points of a first parametric model and one or more corresponding control points of a second parametric model of the two particular parametric models.
Resumen de: EP4597251A1
An electronic message indicates that a materials handling vehicle is approaching an access-controlled travel path. The materials handling vehicle has a travel system that includes a normal travel mode, a limp travel mode, and a restricted travel mode. An electronic permission request is generated to enter the access-controlled travel path. Additionally, an electronic command is issued to set the travel system to the limp travel mode as the materials handling vehicle engages an entry threshold of the access-controlled travel path. A transceiver receives an electronic permission response that includes a determination of whether the access-controlled travel path is in an open state or a closed state. An electronic command then sets the travel system to the restricted travel mode when the access-controlled travel path is in the closed state, and the normal travel mode when the access-controlled travel path is in the open state.
Resumen de: CN120430517A
本发明涉及包装箱管理技术领域,旨在解决传统包装箱管理中缺乏有效监测手段,导致包装箱异常情况难以及时发现,从而可能造成货物损坏、缩短共享包装箱使用寿命并增加运营成本的问题,尤其公开了一种包装箱管理系统及方法,包括包装箱运转状态分析模块、包装箱信号监控模块、包装箱信号分析模块、包装箱状态分析模块、追踪管理模块、显示终端和系统存储库;本发明,通过识别异常包装箱,并针对异常情况进行分析与预警,特别是在重量变化、撞击力度和形变程度等方面,提供精准的评估参数,并依据分析结果执行相应的管理策略,从而提高共享包装箱的使用效率,降低损坏率,推动共享包装箱模式的可持续发展。
Resumen de: CN120430723A
本发明公开了一种零件库位的确定方法、装置、车辆及存储介质,其中,零件库位的确定方法包括:获取多个零件的多个零件参数和目标仓库的仓库尺寸值;根据多个零件参数确定多个目标投影面积数值,其中,目标投影面积数值用于表征零件的占地面积数值;根据多个目标投影面积数值和多个零件参数对多个零件进行分类,得到分类结果;根据仓库尺寸值和分类结果确定多个零件的多个目标库位,其中,多个零件与多个目标库位一一对应。本发明解决了现有技术中零件存储仓库库位利用率低的技术问题。
Resumen de: CN120430707A
本发明公开了一种自动化冷柜运输识别系统,涉及运输技术领域,系统根据已归类的运输任务类型,从聚类结果集中提取特征分布,构建与任务类型一一对应的个性化识别特征阈值集合Q,从而突破传统通用阈值固定不可变的限制。在第二识别模块中,系统通过实时传感器采集当前运输过程中的参数特征,结合欧氏距离算法快速完成任务类型归属判断,使得系统能够在运输初期便完成对运输任务“行为模式”的确认,在修正模块中,系统基于当前任务对应的个性化阈值集合Q,对实时参数进行比对分析,判定异常维度Fg。
Resumen de: CN120430719A
本发明涉及供应链管控技术领域,公开了一种基于多模态需求预测的B2B系统库存动态分配方法及系统,该方法包括:分析获取到的所有目标渠道对应的历史交易数据,得到与所有目标渠道相关联的历史交易需求变化信息;采集所有目标渠道对应的目标交易数据,并根据所有目标渠道对应的目标交易数据以及历史交易需求变化信息,对所有目标渠道进行目标管控操作。可见,实施本发明能够通过分析出的目标渠道对应的历史交易需求变化信息和采集到的目标交易数据,对目标渠道进行目标管控,这样,提高了对供应链中目标渠道的管控可靠性和精准性,进而提高了目标渠道中供采、库存和物流调整的精确性,从而有利于确保企业的盈利能力和市场竞争力。
Resumen de: CN120430718A
本发明公开了一种退货任务的生成方法和装置,涉及电子商务技术领域。该方法的一具体实施方式包括:响应于监听到运单取消消息,获取取消运单的运单信息,运单信息包括取消地址信息和运单号;根据运单号查询运单所属主体的退货类型;在退货类型为集中退货的情况下,根据取消地址信息和运单所属主体的主体标识获取对应的集中退货地址,并根据集中退货地址生成退货任务,集中退货地址为所述取消地址信息所属的区域仓库对应的地址。该实施方式可以避免将货物返回至始发地或指定地点,从而缩短了运输距离,且避免了在运输过程中多次装卸搬运操作而带来的货物破损。解决了退货业务中的运输成本高、运输时效差、货物破损和运输企业收入损失等技术问题。
Resumen de: CN120430706A
本发明涉及供应链管理技术领域,具体涉及一种实时协同供应链监管系统及方法,包括:数据共享模块,基于联邦学习的跨企业数据共享,采用同态加密与区块链存证技术进行全局优化,获得供应链模型;环境监测模块,基于供应链模型提供的物流运输方案,通过多模态传感器网络实时采集物流数据;动态纠偏模块,基于物流数据识别出异常数据进行风险评估,本发明在使用时,采用联邦学习和同态加密,在保护企业数据隐私的前提下实现跨企业数据共享,确保供应链优化过程中各企业的数据安全,避免数据泄漏风险,结合区块链存证,保证数据不可篡改,提高供应链数据的可信度,为监管和审计提供可靠依据,有利于消除数据孤岛。
Resumen de: CN120430563A
本发明涉及智能化生产管理技术领域,公开了一种智能化生产管理方法,包括如下步骤:S1、MRP算法驱动需求拆解;S2、生产任务动态分解;S3、智能库存锁定与释放;S4、动态表单驱动业务协同;S5、全流程进度可视化;S6、异常处理与补偿机制;本发明通过postgres数据库,reactjs、nodejs开发web应用软件,通过MRP算法进行生产流程管理,通过数据库库存锁定技术使生产任务能准确的队列化处理,既充分发挥了快速生产,快速调度的处理能力,又保证了物料库存和生产的及时性,大大减少了生产分析统计的人力成本,并支持多用户智能化生产管理,将生产、采购、出入库等功能整合完成智能化生产任务的统一调度。
Resumen de: CN120430729A
本发明实施例提供一种库存数据处理方法、装置、设备及介质,方法包括:获取至少两个订单处理请求;基于商品标识和待处理数量,将至少两个订单处理请求划分为至少两个订单处理请求集合;利用目标数量的处理设备处理订单处理请求集合中的订单处理请求,以对待处理商品在仓库中的库存信息进行修改;基于修改后的库存信息,确定待处理商品对应的库存量。本发明用以解决现有技术中由于库存情况不能及时更新,导致统计的库存量错误,而影响商品出库、商品入库和商品补货等操作的问题,实现库存情况的实时更新,保证库存情况的准确性。
Resumen de: CN120430598A
本发明实施例涉及江海联运调度技术领域,具体而言,涉及一种应用于江海联运的资源动态配置方法及系统,该方法首先获取包含船舶运输、港口作业及航道通行记录的历史运营数据集合,接着对其进行资源关联特征提取,得到反映船舶‑港口‑航道协同关系的多维协同特征集合。然后调用预构建的动态配置模型对该集合进行资源分配模式学习,生成包含不同运输时段船舶调度、港口泊位分配及航道通行优先级方案的预测分布信息。最后根据此信息生成动态资源配置指令,反馈至江海联运管理系统执行资源调整操作,实现江海联运资源的动态精准配置,提升整体运营效能。
Resumen de: CN120430724A
本申请涉及一种库存量确定方法、装置、计算机设备及可读存储介质,该方法包括:接收目标单据的信息以及目标单据对应的库存方向和触发操作,根据目标单据的信息确定目标物品的更新数量,目标物品为目标单据的信息对应的物品,根据系统计算规则、目标单据对应的库存方向和触发操作,确定目标单据对应的计算规则得到目标计算规则,使用目标计算规则,根据目标物品的当前库存量和更新数量,确定目标物品的目标库存量。采用本方法,在新增加不同类型的业务单据的情况下,不需要增加相应的处理逻辑,可以减少所需运行处理逻辑,从而可以提高处理效率和性能。
Resumen de: CN120430539A
本发明涉及仓储管理领域,公开了一种拆垛任务分配方法、装置及计算机设备,一种仓库存在多种业务模式,既有批量拣选要求又有定制化拣选要求时,单一状态的拆垛机器人无法做到同时兼备,拣选效率低,本发明同时考虑了电商快递模式和零担干线模式的业务模式,针对不同模式进行个性化组合,在有限的空间中配置对应位置和功能的拆垛机器人,通过各种算法的支持配合,集合多个软硬件系统,协同作业,进而大幅度提高拣选效率。本发明实现针对不同业务模式采用不同的拆垛任务分配逻辑,配置自动导向车,通过多种算法的配合,集合软硬件系统,大幅提高拆垛效率。
Resumen de: CN120430716A
本发明公开了一种基于人工智能的物流路径规划方法及系统,涉及智慧物流领域,包括:首先基于历史物流订单的指定路径效能方向数据生成基准路径效能因子;以历史订单为参考,通过强化学习框架执行动态路径演进,筛选适应度评分达标的过渡路由策略配置;结合实时订单数据更新基准因子,通过在线学习持续优化,得到目标路由策略配置;利用目标策略生成待定物流路径的规划决策并推送展示。该方法通过动态演进与在线学习,实现多维度路径效能的智能优化,提升路径规划的适应性与精准性。
Resumen de: CN120430721A
本申请公开了一种基于智慧仓储的批量拣货方法、设备及介质,属于智慧仓储技术领域,用于解决现有的仓储拣货方案效率低的技术问题。方法包括:获取预设时间段内的待分拣订单,并依据所述待分拣订单生成待分拣货品清单;获取所述待分拣货品清单中的各项货品分别对应的位置信息;利用预设的聚类分析算法和路径规划算法,依据所述位置信息规划分拣路径;将所述分拣路径下发至分拣机器人,以使所述分拣机器人按照所述分拣路径运动,直至完成所述待分拣订单的批量拣货。本申请通过上述方法实现了订单的批量拣货,且拣货时的行进路径最短或最优,有助于快速高效的完成拣货工作,提升货品的出库效率。
Resumen de: CN120430725A
本发明提供一种物联网数字化数据处理方法及系统,通过调取目标仓库的仓储图,仓储图包括多个仓储货架,以及仓储货架之间的路径定位点,根据取货端对路径定位点的触发信息生成规划路径;获取取货端与规划路径的相对路径关系,根据相对路径关系确定控制策略,控制策略包括路径约束策略和范围约束策略;根据路径约束策略对规划路径分段处理得到约束路径,基于仓储车的移动方向确定仓储车的预测轨迹,根据约束路径和预测轨迹的位置关系,生成规范控制指令;根据范围约束策略生成与取货端对应的约束范围,基于约束范围对仓储车进行约束处理,生成特殊控制指令,根据规范控制指令和/或特殊控制指令控制相应所述仓储车。
Resumen de: CN120430542A
本发明提供一种冷链配送车辆调度方法、装置、电子设备及存储介质,该方法包括:基于冷链配送任务的任务参数和预定义的调度约束条件,生成初始的冷链配送车辆调度方案,作为当前最优的冷链配送车辆调度方案;基于冷链配送任务的任务参数、调度约束条件和当前最优的冷链配送车辆调度方案,利用改进的鲸鱼优化算法进行迭代计算,基于迭代计算的结果获取冷链配送任务对应的目标冷链配送车辆调度方案。本发明提供的冷链配送车辆调度方法、装置、电子设备及存储介质,能在面对冷链配送的多约束条件和多需求条件,更高效地生成最合理的冷链配送车辆调度方案,能更好地满足冷链配送的高效率、低成本以及绿色化的需求。
Nº publicación: CN120429724A 05/08/2025
Solicitante:
西安石油大学
Resumen de: CN120429724A
本发明涉及一种基于人工智能的石油运输安全监督方法及系统,属于数据处理领域,包括:获取布置在石油运输管道上的传感器收集到的振动信号与声波信号;对预设时间窗口下的振动信号与声波信号进行时间维度的配准;提取振动信号特征;提取声波信号特征;根据振动信号特征与声波信号特征进行数学分析,计算管道危险指数;判断管道危险指数是否大于预设指数值;若是,进入下一步;否则,返回继续监测;通过希尔伯特变换,识别振动信号与声波信号中的震动区间;对震动区间范围内数据的振动信号特征与声波信号特征进行融合,形成融合特征图;通过YOLO神经网络,监测石油运输管道附近是否存在危险行为;若是,发出警报;否则,返回继续监测。