Resumen de: WO2024234094A1
Systems and methods relating to the determination of locations to be visited in a refill trip as well as the generation of an optimized route for that refill trip. A system gathers data from locations with refillable bulk dispensing containers that dispense product to customers. The fill levels and/or dispense rates for those refillable bulk dispensing containers are determined and fill levels are projected based on the data gathered. Each location's refillable bulk dispensing containers are assessed against criteria for inclusion in a refill list. If the refillable bulk dispensing container conforms to the criteria, then the location for that refillable bulk dispensing container is added to the refill list. Once the list is complete, a routing for the refill trip is determined based on the optimization of one or more parameters for the refill trip. The optimized routing can then be mapped and downloaded to a driver/user's device.
Resumen de: WO2025072987A1
The invention relates to a computer-implemented method for determining at least one physical state of a farm animal (2) to be checked at a checking time (T1), comprising: determining temporally successive values of at least one physical parameter within the gastrointestinal tract (3) of the farm animal (2) to be checked by a probe device arranged therein (1); transferring the values to an evaluation unit (12); determining the likelihood of the existence of at least one physical state of the farm animal (2) to be checked by applying a trained artificial neural network to the transferred values; and generating a message about the existence of a physical state of the farm animal (2) to be checked at the checking time (T1) when the likelihood determined in step c) exceeds a predefined threshold value, wherein information about the performing of herd management measures and farm animals (2) affected by this is stored in the evaluation unit (12) and before the likelihood is determined, a check is carried out to determine whether the time (TH) of performing herd management measures falls within the checking period (TR) and the farm animal (2) to be checked is affected by the herd management measure, wherein if the time (TH) of performing the herd management measure falls in the checking period (TR) and the farm animal (2) to be checked is affected, the values determined in step a) which fall in a predefined time interval after the time (TH) of the herd management measure are removed
Resumen de: EP4714891A1
The disclosure relates to a wireless server unit (30) for use in a warehouse (1), wherein the wireless server unit is configured to; receive a vehicle signal (101) from a material handling vehicle (10), said vehicle signal indicating a current or a desired position of the vehicle relative to at least one aisle (20), process the vehicle signal (101) to generate an aisle status data (301) based on the vehicle signal (101), transmit the aisle status data (301) to the at least one material handling vehicle (10), wherein the aisle status data (301) indicate whether the material handling vehicle is granted or declined access to enter the aisle (20). The disclosure further relates to a material handling vehicle (10) for communicating with a wireless server unit (30) and a remote aisle access system for controlling access to material handling vehicles in a warehouse.
Resumen de: CN121127872A
A method includes generating a plurality of candidate shelf maps based on a plurality of current design rules, and outputting a graphical representation of each of a subset including the plurality of candidate shelf maps. The method further includes receiving a classification input to place each candidate shelf map in the subset within one of the plurality of categories, and creating and outputting a candidate rule based on at least one of the categories. The method also includes receiving a rule input specifying a plurality of candidate design rules to be retained. The method further includes inputting and outputting an updated subset of the candidate shelf maps based on the received design rules, and outputting a graphical representation of the at least one final shelf map.
Resumen de: AU2024271087A1
Systems and method electronically generate a resource code for an item based on attributes of the item and a proposed relationship instance associated with the item. Entities are often required to identify a resource code for items that move between jurisdictions. The systems and methods described herein allow entities to easily obtain resource codes for items moving between jurisdictions.
Resumen de: WO2024236436A1
Method for controlling a shipment, comprising: arranging a box (10), including: a main body (20), having an inner space (30); a visual detection tool (110) mounted to said main body (20) and configured to capture images portraying one or more objects contained in said inner space (30). The method further comprises performing at least one of a first control operation and a second control operation. The first control operation comprises: while the main body (20) is at least partly open and before shipping of the box (10) is started, capturing first images by said visual detection tool (110); making a first comparison between said first images and first reference data, the first reference data being representative of features expected for the one or more objects (X) contained in the inner space (30); generating a first notification signal (NS1) based on said first comparison. The second control operation comprises: during shipment of the box (10), capturing second images by said visual detection tool (110); making a second comparison between said second images and second reference data, the second reference data being representative of safe conditions of the one or more objects (X) contained in the inner space (30); generating a second notification signal based (NS2) on said second comparison. Also discloses is a system (1) for controlling a shipment.
Resumen de: EP4715718A2
The present invention relates to a method for classifying food items. The method includes the steps of: capturing one or more sensor data relating to a food item event; and classifying the food item, at least in part, automatically using a model trained on sensor data. A system and software are also disclosed.
Resumen de: EP4715702A1
Various embodiments described herein relate to providing and/or employing a system and a method for tracking emissions in a facility. In this regard, inventory data associated with at least one of a product and a process is collected from a plurality of data sources. As a result, a Product Carbon Footprint (PCF) value associated with the at least one of the product and the process is determined based on the inventory data and corresponding emission factors. Based on at least one change in parameters of the inventory data, the inventory data is updated in real-time. As a result, an updated PCF value is determined in real-time based on the updated inventory data. Accordingly, the updated PCF value is displayed via a user interface of a display device.
Resumen de: US2025156808A1
An automated supply chain for end to end tracking of eaches, comprising: one or more distribution centers for receiving eaches and delivering the eaches to a market; one or more of pallets, cases and totes for transporting the eaches, the one or more of pallets, cases and totes comprising tracking systems; a plurality of robots at the one or more distribution centers for sorting the eaches for shipment between the one or more distribution centers and the market; a unified commerce engine (UCE) comprising at least one processor and at least one non-transitory memory including computer program code, the UCE configured to receive and store identification information from the tracking systems, the UCE tracking locations of the eaches within the pallets, cases and totes in each of the one or more distribution centers from receipt from the manufacturer to delivery to the market using the identification information.
Resumen de: CN121724527A
本发明涉及一种基于民航信息的货运轨迹跟踪方法、装置及设备,属于民航物流技术领域,该方法、装置及设备通过“信息整合‑轨迹构建‑状态细化‑业务联动”的技术逻辑,针对性解决“民航货物无连贯轨迹、航班信息不互通、状态反馈单一”的核心技术问题。
Resumen de: CN121724543A
本发明涉及供应链管理与智能物流技术领域,公开一种基于大数据的跨境电商智能补货处理方法,包括:步骤一,实时采集平台仓储规则数据、船舶位置信息、港口拥堵信息、绕航概率信息与前置市场热度信号;步骤二,基于采集的平台仓储规则数据与前置市场热度信号,建立动态容量预测模型,计算生成目标仓库在未来预设时间窗内的虚拟可用配额;步骤三,基于采集的船舶位置信息。采用建立动态容量预测模型,结合平台仓储规则与前置市场热度计算未来虚拟可用配额的技术方案,达到预估且锁定未来可用仓储容量的技术效果,相较于现有技术中缺乏对平台仓储容量动态预估的技术方案,解决补货计划在货物到港时因容量不足而无法入仓的不足。
Resumen de: CN121722932A
本申请涉及一种无着件的处理方法,涉及物流技术领域。所述方法包括:获取无着件的无着件图文对;无着件图文对包括无着件的快件图像和托寄物信息;基于对无着件图文对和匹配库中的多个样本快件图文对的匹配处理,从多个样本快件图文对中,确定出无着件的目标匹配图文对;匹配库包括多个样本快件的样本快件图文对,每个样本快件的样本快件图文对包括样本快件的快件图像和托寄物信息;根据目标匹配图文对所属的目标样本快件的寄件信息,确定无着件对应的目标寄件记录,根据目标寄件记录,确定无着件的收件信息;根据无着件的收件信息,对无着件进行物流运输。采用本方法能够提高对无着件的物流运输准确率。
Resumen de: CN121724676A
本发明一种基于大数据分析的地铁售卖与客流预测系统公开了一种通过售卖终端模块实现车厢内商品的自动存储、支付和出货,通过客流采集模块获取乘客数量、流向和密度数据,通过数据传输与存储模块完成多源数据的安全传输与管理,通过大数据分析模块进行销售与客流的关联分析和需求预测,通过决策与运维模块生成补货计划和调度方案,从而实现地铁车厢内商品供应与客流需求的动态匹配和高效管理的基于大数据分析的地铁售卖与客流预测系统。其特征在于包括售卖终端模块、客流采集模块、数据传输与存储模块、大数据分析模块和决策与运维模块。
Resumen de: CN121724674A
本申请涉及人工智能技术领域,公开了一种不动产市场趋势预测方法、系统、电子设备以及介质。该方法包括:获取影响不动产成交趋势的前期性数据,其中,前期性数据包括不动产挂牌价变异数据、带看成交转换数据、库存去化周期数据和指导调节数据;对不动产挂牌价变异数据、带看成交转换数据和库存去化周期数据进行指标提取,得到先导性指标数据;对指导调节数据进行文本语义分析,得到指导调节分析结果;基于先导性指标数据和指导调节分析结果进行预测,得到不动产成交趋势预测结果。该方法可以基于影响不动产成交趋势的前期性数据,有效量化出不动产的供需动态平衡信号、指导调节分析结果等,提高不动产成交趋势预测结果的精确性。
Resumen de: CN121724047A
本发明公开了一种基于微光储能的仓储货位标签显示系统,涉及仓储管理技术领域。传统电子标签依赖电网或电池供电、人员交互意图识别不准易致误唤醒及系统不稳定的问题。本发明包括硬件支撑单元、微光储能单元、标签显示单元、数据同步单元及系统控制单元;通过微光储能单元与低功耗系统控制架构,解决传统电子标签对电网或电池的依赖问题,通过数据同步单元实现显示信息与后台平台的双向一致性,通过融合人体空间位置、朝向、动作手势等多维感知信息,并引入时间一致性与可信度调制机制,有效抑制瞬时噪声和环境干扰,最终实现对目标货架标签的精准唤醒与亮度控制,从整体上提升仓储货位信息展示的可靠性、交互准确性和能源利用效率。
Resumen de: CN121724541A
本发明涉及物流信息处理技术领域,具体为一种基于互联网的生鲜采购配送系统;所述系统包括:订单采集需求分析单元接收用户通过互联网提交的采购订单数据,对采购订单数据进行解析处理,形成用户需求信息;供应资源匹配调度单元根据供应库存参数与采购周期参数,使用供应商动态优选机制计算供应资源匹配,生成供应调度结果;动态配送路径规划单元调用预设交通路径数据集合,使用配送路径规划模型计算配送路径构,生成包含配送节点序列及运输执行参数的配送任务数据;配送执行反馈监控单元用于实时监控采集配送过程中的物流位置参数与配送状态参数。本发明实现供应调度结果与配送路径的动态匹配与实时调整,保障生鲜采购与配送过程。
Resumen de: WO2025072987A1
The invention relates to a computer-implemented method for determining at least one physical state of a farm animal (2) to be checked at a checking time (T1), comprising: determining temporally successive values of at least one physical parameter within the gastrointestinal tract (3) of the farm animal (2) to be checked by a probe device arranged therein (1); transferring the values to an evaluation unit (12); determining the likelihood of the existence of at least one physical state of the farm animal (2) to be checked by applying a trained artificial neural network to the transferred values; and generating a message about the existence of a physical state of the farm animal (2) to be checked at the checking time (T1) when the likelihood determined in step c) exceeds a predefined threshold value, wherein information about the performing of herd management measures and farm animals (2) affected by this is stored in the evaluation unit (12) and before the likelihood is determined, a check is carried out to determine whether the time (TH) of performing herd management measures falls within the checking period (TR) and the farm animal (2) to be checked is affected by the herd management measure, wherein if the time (TH) of performing the herd management measure falls in the checking period (TR) and the farm animal (2) to be checked is affected, the values determined in step a) which fall in a predefined time interval after the time (TH) of the herd management measure are removed
Resumen de: WO2025039766A1
The present application relates to a real-time online cargo volume recognition method, system, and device, and a medium. The method comprises: collecting, by means of a camera, a depth image and a color image of a set area comprising a cargo; introducing a median filter to remove noise pixels in the depth image, and aligning the color image with the filtered depth image on the basis of internal and external parameters of the camera to obtain an aligned color image; on the basis of color, light, and grayscale differences between the cargo and a non-cargo object, using a pre-trained YOLACT model to perform instance segmentation on the aligned color image, and generating a cargo mask; and performing edge fitting, surface extraction, and background separation of the cargo by means of the aligned color image, the filtered depth image and the cargo mask, so as to determine the volume of the cargo. Thus, the present application has high stability and robustness, reliable data can be obtained regardless of the placement location and the placement direction of a cargo, and the working efficiency can be improved.
Resumen de: JP2025123870A
To provide a technique of precisely predicting demands of components even if the number of order reception history data sets about the components is small.SOLUTION: A component demand prediction method according to the present invention separates order reception logs into order reception-use purpose data and use purpose-component data, and predicts an interval of reception orders of a component item for each use purpose on the basis of the order reception-use purpose data.SELECTED DRAWING: Figure 5
Resumen de: KR20260040389A
본 발명은 OpenCV 비전 처리를 활용한 고밀도 주소 인코딩 시스템인 V-MAP에 관한 것이다. L자형 가이드를 이용한 실시간 원근 보정 기술과 도형, 색상, 8방향 회전 각도를 결합한 다중 매핑 기술을 통해 초고용량 데이터 인코딩을 실현한다. 이를 통해 잉크 소모를 최소화하면서도 글로벌 주소 체계를 통합 수용할 수 있는 고속 물류 자동화 솔루션을 제공한다.
Resumen de: KR20260040476A
본 발명의 실시예에 따르면, 복수의 주방제품 서비스 제공 장치 및 프로그램이 개시된다. 상치 장치는, 복수의 주방 단말들 각각으로부터 상기 주방 단말들 각각의 사용자가 판매하는 음식에 대한 정보를 포함하는 복수의 메뉴 정보들을 수신하고, 수신된 상기 메뉴 정보들에 기초하여 상기 주방 단말들 사이의 메뉴 유사도를 산출하는 메뉴 관리부, 상기 주방 단말들 각각과 대응하는 배달영역을 복수의 세부 배달영역들로 분리하고, 상기 세부 배달영역들 각각과 대응하는 복수의 배달그룹들을 결정하며, 상기 세부 배달영역들 각각에서 상기 주방 단말들 중 어느 하나에 대해 발생된 복수의 주문들의 수량을 카운팅하고, 상기 세부 배달영역들 중 상기 수량이 가장 많이 발생된 세부 배달영역과 대응하는 배달그룹을 상기 어느 하나와 대응하도록 결정하는 배달그룹 매칭부 및 상기 주방 단말들에 대해 발생된 복수의 주문들 각각과 대응하는 예상완성시각 및 배송지에 기초하여, 상기 주방 단말들에 대해 발생된 복수의 주문들 중 두개 이상의 주문들에 대한 묶음배달 여부를 결정하는 묶음배달 생성부를 포함할 수 있다.
Resumen de: CN121723053A
本发明公开了一种基于多源数据分析的油气储运漏油检测系统,涉及漏油检测技术领域,构建原始传感数据集,对原始传感数据集进行预处理,生成对齐数据集,建立无泄漏状态下的管线数字孪生基线模型,生成基线特征集合,实施微扰动主动检测与动态顺应性反演,生成主动特征集合,预测潜在泄漏液体的扩散走向与地表出露时窗,生成地表佐证特征,融合多模态特征并输出泄漏事件与响应方案,本发明结合微扰动主动探测与动态反演实现高灵敏泄漏识别,通过多相渗流与遥感验证实现地下至地表的扩散闭环,利用自适应融合与动态阈值控制提升检测精度,并通过模型回灌实现自学习更新,具备实时性高、抗干扰强、可自适应优化的优点。
Resumen de: CN121724553A
本申请公开了一种智能仓储物流实时货位优化方法及系统,涉及智能仓储物流技术领域,公开的智能仓储物流实时货位优化方法及系统,通过获取仓储实时数据、构建仓储动态状态图谱、生成初始分配方案、输入分布式决策网络进行并行协同评估优化、下发全局指令,解决了传统方法在高峰期的延迟和冲突问题,能够提高仓储作业效率和系统吞吐量。
Resumen de: CN121724552A
本发明的一种电子信息产业链断供风险的动态评估方法及系统,方法包括以下步骤:构建动态演化的电子信息产业链知识图谱,根据多源异构风险数据建立边权重动态演化模型,系统显著增强了对突发性、隐性断链风险的捕捉能力;从知识图谱中提取实时参数,计算求解包括节点内生脆弱性、链路拓扑依赖性以及外部环境冲击度在内的三维正交特征,建立多维断供风险动态评估指标体系,输出高风险信号,将高风险信号作为初始激扰注入知识图谱中,模拟由于库存耗尽引发的纵向短缺传导以及由于订单转移引发的横向过载挤兑,使得系统能够精准预估风险传导至终端的具体时延,为企业与管理部门提供了黄金窗口期内的科学决策依据。
Nº publicación: CN121723638A 24/03/2026
Solicitante:
深圳市渐近线科技有限公司
Resumen de: CN121723638A
本发明涉及仓储物流调度技术领域,公开了一种仓储调度仿真方法及系统,所述方法包括:获取任务执行与叉车状态数据,构建反映任务分配与叉车运行依赖的因果关系图;对比任务数据与基准检测延误,并分析因果图定位偏差来源;根据分析结果调整叉车运行策略,生成包含实时备用注入时序的运行计划;执行计划并监控,锁定稳定调度参数;利用稳定配置及历史数据预测任务量,生成预防性策略并动态调整备用注入计划,形成自适应调整机制。本发明能够实现仓储调度中偏差来源的精准定位、策略的动态自适应调整以及整体效率的持续优化。