Resumen de: EP4600873A1
An approach is provided for contextualized determination of estimated times of arrival (ETAs) for trips. The approach involves, for example, computing an original ETA for a vehicle on a route that is subject to required events. The original ETA is computed based on pre-trip predicted events determined based on an initial set of trip context assumptions and the required events. The approach also involves monitoring real-time location trace data of the vehicle during a monitoring period to determine actual events of the vehicle and/or driver. The approach further involves generating a real-time ETA scorecard comparing the actual events to the required events, pre-trip predicted events, and/or prior events determined for previous monitoring periods. The approach further involves determining predicted events for subsequent monitoring periods based on the real-time ETA scorecard, and determining an updated ETA based on the predicted events.
Resumen de: AU2022481681A1
According to an aspect of this disclosure, there is provided a carrier stool configured to provide a working position for the exchange of twist-locks in a container lock management system. The carrier stool comprises: one or more seats configured to, in use, removably receive and support a universal lock carrier, the universal lock carrier, the universal lock carrier configured to be loadable with a twist-lock. A pedestal may support the one or more seats. Also described is a universal lock carrier comprising: a cradle; a storage system interface; and one or more complementary positioning elements configured to cooperate with positioning elements of a seat of a carrier stool.
Resumen de: AU2022481679A1
A lock classification system for a container twist-locks is described. The lock classification system is configured to determine, based on the classification of a twist-lock, whether a twist-lock is to be selected for use in pinning operations. The lock classification system comprises: a lock feeder; a lock identifier configured to classify twist-locks according to type and/or model of twist-lock; at least one lock separator configured to separate twist-locks from one another so that they can be individually identified by the lock identifier; a manipulation solution system; and at least one lock manipulator.
Resumen de: EP4600878A1
A vehicle loading event confirmation system comprising processing circuitry configured to:- determine that a vehicle has come to a standstill,- receive, from a camera associated with the vehicle, a captured image of an identification code, wherein the identification code is associated with a predefined loading event at which the vehicle is planned to become loaded or unloaded,- receive, from a sensor of the vehicle, event data indicative of an actual change in weight carried or pulled by the vehicle at the loading event,- transmit said identification code and vehicle data including said event data to an off-board server located remotely from the vehicle so as to allow the off-board server to provide information which enables a requester to determine whether or not the actual change in weight matches the expected change in weight.
Resumen de: EP4600852A1
The invention relates to a method of verifying integrity of a computing device (1) comprising a number of hardware device components (1), the method comprising the steps of: a) measuring (S1) a number of identifiers (30) of each of the hardware device components (10); and b) generating (S2) a dynamic bill of materials (3) from the number of measured identifiers (30), wherein steps a) and b) are performed by executing an application (21) comprised in a trusted code base (121) of the computing device (1).The dynamic bill of materials generated by the application that is part of the trusted code base allows to verify the integrity of the hardware device components of the computing device in a trusted manner.
Resumen de: EP4600875A1
According to the embodiments illustrated herein, a method is disclosed. The method comprises receiving, by a computing device comprising a processor, an input from an operator device, wherein the input facilitates determining a task to be performed. Further, the method comprises activating, by the computing device, a first light device associated with a first location in a workplace in response to receiving the input, wherein the first location is associated with the task to be performed. Furthermore, the method comprises receiving, by the computing device, a first voice input from the operator device, indicative of an exception encountered during execution of the task. Additionally, the method includes modifying the task, in response to determining that the first voice input is indicative of the exception encountered during execution of the task.
Resumen de: EP4600864A2
An electronic shelf label positioning method and system. The method includes: receiving a binding relationship between a shelf ID and a guide rail ID, and a binding relationship between the guide rail ID and wireless label IDs; receiving the wireless label ID read by the electronic shelf label; determining the guide rail ID of the guide rail where the electronic shelf label is located based on the wireless label ID and the binding relationship between the guide rail ID and the wireless label ID; determining the shelf ID of the commodity shelf where the electronic shelf label is located based on the determined guide rail ID and the binding relationship between the shelf ID and the guide rail ID; and determining a position of the electronic shelf label based on the determined guide rail ID, the determined shelf ID and the wireless label ID.
Resumen de: TW202217548A
Computer-implemented systems and methods for optimizing sorting and loading of packages are disclosed. An exemplary system includes a memory storing instructions and may include at least one processor configured to execute the instructions. The system may perform operations including receiving data comprising a plurality of package identifiers associated with a plurality of packages. The operations may include determining a plurality of block areas associated with delivery locations for the plurality of packages. The operations may further include determining a delivery route by determining a first set of routes, determining optimal combinations of the inputs for each set of routes and determining a shortest route associated with the optimal combinations. The operations may include determining an order in which to load each of the packages into a delivery vehicle. The operations may further include generating instructions for causing a device to display a visual representation of the loading order.
Resumen de: CN120471436A
本发明涉及企业管理技术领域,具体涉及一种基于大数据分析的企业风险管理系统,包括:采集企业的多源运营数据,将来自不同数据源的数据进行关联和整合,依据多源运营数据定义企业的关键风险指标;收集企业销售周期内的销售量数据并整理成时间序列模型,通过简单移动平均预测得到销售量的预测序列,对比时间序列模型与销售量的预测序列走势,判断企业销售的风险情况;建立企业运营风险预测模型,对企业的运营风险进行综合预测;设定风险阈值,对企业的运行风险进行判定,并及时发送预警。本发明通过收集生产、销售、库存等多方面的详细数据,进行深度分析,能更精准地评估风险状况,避免主观臆断,为企业决策提供可靠依据。
Resumen de: CN120469355A
本说明书实施例公开了一种生产车间多AGV调度方法、装置、电子设备及存储介质,该方法包括S101、基于AGV与障碍物的尺寸得到车间环境的栅格地图,基于每个AGV的优先级与设定的代价函数对每个AGV分配运输任务得到每个AGV的运输路径;S102、基于每个AGV的所述运输路径进行冲突检测,若存在任意两个AGV之间存在路径冲突,则执行S103,否则输出每个AGV的所述运输路径;S103、基于AGV之间的路径冲突生成约束树,对约束树进行剪枝得到每个AGV重规划的运输路径后执行S102。本申请通过进行冲突检测检测到各AGV之间在执行运输任务的过程中是否会发生碰撞,而后根据路径冲突构建每个AGV重规划的运输路径,以提高AGV执行运输任务时的安全性,确保物料及时供应,提高了生产效率。
Resumen de: CN120471641A
本发明涉及人工智能技术领域,具体涉及一种大数据人工智能分析平台,包括:分析商品的历史销售数量,确定预测周期内的所有预测销售量,根据预测周期内所有的预测销售量,结合商品的历史销售数量,确定热门时段,基于热门时段,分析热门时段在预测周期内的连续性,确定连续性信号生成时存储时间点、非连续性信号生成时存储时间点以及商品存储量,去重分析所有类别商品的热门时段,确定少品热门时段内商品的销售分配时长和多品热门时段内商品的销售分配时长,本发明通过对不同热门时段的区分和销售时长的合理分配,提高销售资源的利用效率。
Resumen de: CN120471418A
本申请提供一种预制输气管道管理方法、装置、介质、程序以及系统,涉及管道技术领域,该方法应用于信息管理设备,包括:获取待预制的输气管道的管段预制图,并为管段预制图分配设计文件号标识;对管段预制图进行识别,确定待切割的多个管段号标识;向现场操作设备发送管段加工指示信息;接收现场操作设备发送的管段加工响应信息,确定预制输气管道加工完成。该方法通过识别管段预制图中的信息,获取待切割管段的加工信息,并指示现场操作设备进行加工,能够规范输气管道预制流程,提高预制输气管道的施工效率。
Resumen de: CN120471539A
本发明涉及智能控制技术领域,具体涉及一种用于配送机器人的智慧交互方法,包括:上传商场内部路径分布信息,根据商场内部路径分布信息构建商场内部可用路径模型,将商场内部可用路径载入至配送机器人内置移动控制系统;设定配送机器人在商场内部可用路径模型对应区域中的循环移动路径,使配送机器人基于循环移动路径连续运行;本发明通过移动路径的规划,实现了配送机器人于指定区域内循环移动的控制效果,在配送机器人移动过程中,基于零售商品的推送,提升配送机器人应用场景的经济效应,并大幅提升了配送机器人应用场景的智能化服务程度,并且为该场景中用户带来更全面的服务,保证该类场景中的用户服务需求更易得到满足,使消费体验更佳。
Resumen de: CN120471538A
本发明公开了一种电联履约补推方法、装置及设备,所述方法应用于物流技术领域,所述方法包括:接收用户ID查询请求,在订单数据集中查询在最佳调用时间与运单号相匹配的用户ID;在确定用户ID可信的情况下,将用户ID确定为目标用户ID;采用时间序列预测模型预测目标用户ID在未来时段的订单预测结果;根据订单预测结果,在缓存数据库中缓存与目标用户ID存在关联关系的目标运单列表;采用关联规则挖掘算法分析目标运单列表中不同运单之间的运单关联关系;确定需要进行电联履约的目标订单并补推电联履约结果。本发明能够确保所有订单都能及时进行电联履约判断。
Resumen de: CN120471246A
本申请提供了一种设备调度方法、装置、设备、存储介质及计算机程序产品;方法包括:基于设备优先级从高到低的顺序,依次搜索N个设备的调度路径,其中,N为大于1的正整数;当搜索到的第n个设备的调度路径经过M个通道中的任意通道时,更新任意通道的通过代价,其中,M为大于1的正整数,n为依次递增的正整数,1≤n<N;基于更新后的任意通道的通过代价,以及除任意通道以外的M‑1个通道的通过代价,对第n+1个设备进行路径规划,得到第n+1个设备的调度路径;控制N个设备分别按照对应的N个调度路径进行移动。通过本申请,能够提高N个设备在通过M个通道时的整体通行效率。
Resumen de: CN120471390A
本发明提供一种基于智能匹配算法的校园跑腿平台架构,涉及校园跑腿领域。本发明包括前端层、应用层、数据层和基础设施层;所述前端层包括用户端、跑腿员端和管理员端,用户通过移动端应用或Web端来交互,完成任务发布、接单、支付、查看任务状态等操作;所述应用层包括任务服务、智能匹配服务、调度服务、地图与导航服务和支付与结算服务,通过算法为每个任务自动匹配合适的跑腿员,提升任务分配效率,优化平台资源。通过设置的智能算法公式将跑腿员的位置、任务的优先级和历史数据预测结合进行计算分配给得分最高的跑腿员进行执行,提高跑腿效率,节约时间。
Resumen de: CN120471542A
本发明公开了一种货运航班调度优化方法、系统及设备,该方法首先获取航班运力信息、预处理后的航空底网信息以及订单信息;其次根据所述航班运力信息、预处理后的航空底网信息以及订单信息构建货运航班调度优化模型;其中,所述货运航班调度优化模型中构建以成本和时效最小化为目标的目标函数以及所述目标函数的约束条件,所述约束条件包括逻辑约束条件、航班调度约束条件以及货运业务约束条件;最后利用精确算法对所述货运航班调度优化模型的目标函数进行优化求解,输出满足迭代终止条件的最优解,得到货运航班的最优调度方案。本发明可以实现更有效的航班调度,提高货运航班调度的准确性和效率。
Resumen de: CN120471499A
本发明涉及物流领域,公开了快递员动态监控管理方法、装置、设备及存储介质,该方法用于实现快递员动态监控管理。该方法包括:获取订单信息、交通路况和天气数据,并构建时空特征矩阵;基于时空特征矩阵动态调整各地理区域的揽派件围栏边界;当快递员实时地理位置与调整后的揽派件围栏边界的距离小于预设距离阈值时,触发预警,并生成预警报告;获取快递员当天的揽派轨迹,并对快递员当天的揽派轨迹和订单信息进行分析和计算,得到快递员在各地理区域的停留时间和揽派任务完成率,并生成揽派分析报告;根据预警报告和揽派分析报告分析得到快递员的异常情况以及各区域运力情况,并生成汇总报表。
Resumen de: CN120471563A
本发明公开了一种基于动态规则的多式联运库存共振管理方法、介质和设备,方法包括:分类采集原始数据并预处理为标准化联运数据;基于预处理后的第二运输状态参数构建运输时效预测模型提取动态运输特征,对第二库存水平参数进行谱分析获取库存周期波动特性;通过时频关联分析提取第二运输状态参数与第二库存水平参数的共振耦合特征并建立特征编码库;基于上述特征构建运输方式切换规则与库存调整策略的映射关系网络;建立基准运输场景与目标运输场景的共振控制参数转换关系;最终构建多维共振管理知识库。本发明实现了多式联运下运输延迟与库存波动的协同控制,有效抑制了供应链共振效应,提升了系统响应能力与稳定性。
Resumen de: CN120471382A
本发明公开了一种建筑服务资源优化方法,涉及建筑服务资源优化技术领域,包括以下步骤:采集建筑服务人员技能问卷数据,设计物联网库存采集模块,采集建筑材料实时库存数据,根据建筑服务人员类别,获取建筑服务人员调度结果;利用各类建筑材料库存阈值,获取各类建筑材料调配结果,采用卷积神经网络算法,构建建筑服务人员调度模型;利用神经网络算法,构建建筑服务资源调配模型,利用遗传算法,优化建筑服务资源调配模型,本发明所述方法中的问卷调查技术、物联网采集技术、神经网络算法建模技术和遗传算法优化技术与现代信息技术紧密结合,达成了对建筑服务人员技能和建筑材料库存实时的监控,显著增强了建筑服务资源管理过程中的智能化程度。
Resumen de: CN120470277A
本发明公开了一种物流通话的合规性判断方法、装置及设备,所述方法应用于物流技术领域,所述方法包括:在物流系统中创建环形队列数据结构;利用定时任务框架每隔预设时长执行一次窗口边界检测任务,在检测到新通话事件进入所述物流系统时,判断所述新通话事件是否在当前时间窗口内;若所述新时间在所述当前时间窗口内,提取所述新通话事件的通话事件特征;根据合规性评估规则对所述通话事件特征进行合规性评估,得到评估结果;在所述通话事件特征评估通过的情况下,提取所述新通话事件的通话事件标识以及指纹信息;并存储至哈希表中。本发明提高了电联准确率和资源利用率。
Resumen de: CN120471555A
本发明公开了一种物资计划与入库专家智能匹配及管理系统,涉及物资管理技术领域。本发明与之前的物资计划与入库管理技术相比,解决了现有物资计划与入库管理技术的信息协同效率较低且匹配精准度较差的问题;共享物资计划信息,专家可提前筹备、精准应对;且系统与采购、财务等模块互通,形成全流程协同生态,降低沟通成本,提升物资管理整体效能;通过智能匹配算法将专家与物资计划进行精准对应,让最适配的专家负责对应物资验收,减少人工选派误差,提升入库效率,缩短整体物资周转周期;还制定统一质量检测标准;还能够实时监测市场供应、项目进度,系统能快速调整物资计划、灵活重配专家,应对突发变化,增强企业应对复杂多变业务环境的韧性。
Resumen de: JP2025117319A
【課題】在庫の最適化を支援する。【解決手段】コンピュータは、複数の物品についての在庫状況を、複数種類の在庫の種別を区別可能な態様で表示画面5にグラフ表示し、前記表示画面5に表示されたグラフ中の要素が選択された場合、選択された前記要素に紐付く在庫状況の明細のリスト52を、前記表示画面5に選択可能に表示し、前記表示画面5に表示されたリスト52から選択された明細を、調達管理の対象候補として決定する、処理を実行する。【選択図】図12
Resumen de: US2025139569A1
The present disclosure relates to a device and method for tracking supply chain transaction information on a no-code basis. The device for tracking supply chain transaction information on a no-code basis includes a memory that stores at least one instruction, and a processor, in which the at least one instruction is executed by the processor such that at least one piece of event information generated during a manufacturing or distribution process of a product is acquired, each of the acquired at least one piece of event information is interpreted in conformity with a standard for supply chain transaction information, and the interpreted result is reflected in conformity with the standard for supply chain transaction information on a supply chain scenario relating to the product to generate a map for tracking the manufacturing or distribution process of the product.
Nº publicación: CN120471243A 12/08/2025
Solicitante:
无锡学院
Resumen de: CN120471243A
本发明公开了一种基于M‑PCA的多条件路径规划方法,包括:构建起点数据集、订单数据集、交通数据集、路网数据集;利用综合性数据集结合启发式算法的搜索策略构建以最低成本为目标函数的M‑PCA模型;通过M‑PCA模型对路径规划设定包括时间约束、单辆载具载重约束、总载重量约束三种约束条件后进行求解获得最佳路径规划。利用启发式算法将多种运输需求作为不同的约束条件,并将约束条件转化为对应的KKT条件对运输目标进行约束并求最优解,可以在考虑成本、时间等约束条件下够动态规划最优配送路径,提高配送效率,减少运输时间和成本。