Absstract of: CN121119303A
本申请提供了一种订单履约时长的预测方法与预测装置,该方法涉及电子技术领域,该预测方法应用于多任务预测模型,多任务预测模型包括至少一层特征学习层,特征学习层包括任务学习层,任务学习层包括第一特征提取模块与任务间注意力机制模块,预测方法包括:响应于用户的商家浏览操作,获取原始数据;基于原始数据与第一特征提取模块,得到第一任务的第一特征以及第二任务的第二特征;基于原始数据与任务间注意力机制模块,得到任务关联特征;基于第一特征、第二特征与任务关联特征,得到目标融合特征;基于目标融合特征,得到第一预计送达时长与第二预计送达时长。基于本方案,能够减少两个预计送达时长的时间差,从而提高用户体验。
Absstract of: CN121119896A
本申请提供了一种以物流订单为基础的碳减排运输路径选择方法及系统。该方法包括:获取物流站点信息和用户的订单信息,生成并计算多条运输路径的总碳排量和总时长;确定运输路径时,首先考虑货物类型,基于不同的货物类型采用不同的路径选择策略。若货物类型为普通货物,第一考量因素为总碳排量。若货物类型为恒温货物或冷冻货物,第一考量因素为总时长;当多个路径的总时长相同时,则第二考量因素为总碳排量。本申请中实现了面向用户订单的、事前可执行的、基于货物特性精准定制的、系统整合的低碳运输路径优化决策,降低了物流运输环节的碳排放强度,助力“双碳”目标,还通过优化能源消耗和运营效率。
Absstract of: CN121119895A
本发明涉及一种基于经纬度的车辆装卸货状态上传方法,所述方法包括:步骤1,配置车辆班次的运输线路;步骤2,根据运输线路新建运输计划,并进行运输计划管理,下发运输任务至车辆;步骤3,下发运输任务后,若超过预设时长,无人为操作,车辆则自动接收运输任务,并反馈接收情况至云平台;步骤4,车辆接收运输任务后,实时上报车载单元报文,云平台接收到车辆反馈后,对车载单元报文进行解析,得到车辆经纬度坐标信息,将其与装货场站和卸货场站的范围进行比较,根据比较结果,判断车辆装卸货状态,从而结束对应班次的运输任务,完成物流运输的流程闭环。该方案解决现有技术依赖人工参与,造成车辆装卸货状态管理效率低、成本高的技术问题。
Absstract of: CN121120284A
本申请提供一种送审物资的审核方法、装置、电子设备、介质及程序产品,涉及工程项目审核技术领域。该方法通过结构化信息提取,实现了对送审文件的自动化的文件解析与信息提取,提高了对物资审核的效率。本申请通过互斥关系和共生关系,实现了对定额数量的智能调整,提高了定额数量的准确性,进而提高了对实送审物资审核的准确性和效率。同时,本申请实现了对实送审物资清单的智能审核,减少了人工干预,降低了审核错误率和审核成本,同时也提高了审核效率。
Absstract of: CN121119826A
本发明公开了物资随机抽检方法,系统记录各供应商的送货单信息,在每天送货开始前,根据当天的送货单信息,随机选出一个送货单生成质检任务单,发送至质检人员进行质量检查,质检人员在质检完成后记录各种数据并保存,供后续管理分析使用。本发明通过引入随机抽检机制,消除了传统固定质检方法中存在的供应商作弊风险,提高了质检的有效性和公正性;同时,灵活的质检模式设置使得仓储管理人员能够根据实际需求调整质检策略,提升了系统的适应性和管理效率;系统自动生成质检任务单,减少了人工操作的复杂性和出错率,确保了质检流程的规范化和可追溯性,整体提升了仓储管理的质量控制水平。
Absstract of: CN121119562A
本发明公开了基于数字孪生的商品领用方法及系统,属于工业互联网与供应链管理技术领域,本发明要解决的技术问题为传统商品领用中信息不透明、流程繁琐、效率低下、库存管理困难及缺乏有效监控,技术方案为:数据采集与孪生建模:通过构建物理仓库与虚拟孪生体的实时映射,实现商品领用的数字化及智能化管理,并利用物联网设备采集物理仓库的物资信息、库存数据及位置信息的多源数据,经清洗处理后,采用三维建模技术构建虚拟孪生体,并通过动态更新机制确保虚拟孪生体与物理仓库的一致性;实时数据处理与同步;智能领用;库存监控与预测;用户管理与权限控制。
Absstract of: CN121119881A
本申请提供一种基于多模态的港口流动机械智能决策方法、装置及设备,涉及人工智能技术领域。包括:通过多模态因果嵌入层,捕捉“风速突变→吊具摆幅增大→AGV路径偏移”的因果链,将异构数据映射为统一的潜在空间表征,消除数据模态差异,通过动态调整因果边权重,模型可自适应增强对关键风险的响应能力,进而通过预设条件来触发AGV限速或吊具制动指令。可见,本申请实施例能够解决多模态数据融合与动态因果建模问题,提升决策速度与准确性,大大降低碰撞风险。
Absstract of: CN121119537A
本发明提供了一种快递任务的动态分配系统,包括:匹配模块,用于识别运单的地址信息,将各运单自动匹配至所属的基本单元区域;为每个基本单元区域绑定至少一名主快递员;承载量模块,用于为每个基本单元区域配置派送难度系数;为每名快递员设置承载量上限;在进行运单分配时,以承载量为实际计算基数;指派模块,对进入自动指派队列的运单指派快递人员,指派方法为:首先确定待指派运单所属的基本单元区域,将待指派运单分配给该基本单元区域绑定的主快递员;每次尝试指派前,结合快递员当前已分配的承载量与快递员的承载量上限,判断快递员是否可以被指派,若可以,则继续指派;否则,终止该快递员的进一步分配。
Absstract of: CN121119880A
本发明涉及一种基于规则冲突协调的证据链推理方法、系统及存储介质,涉及贸易管理技术领域,证据链推理方法,包括:解析及识别用户输入的规则查询文本,结合规则知识库获取相关贸易规则条款;根据规则限制条件逐一验证相关贸易规则条款,得到条件验证标签;根据语义框架筛选并提取全部相关贸易规则条款中的适用规则条款的初始执行动作;通过逻辑结构和冲突解决策略,利用冲突检测算法识别并解决初始执行动作间的冲突,生成首筛执行动作;根据例外条件过滤首筛执行动作,对规则查询文本进行模拟应用,生成模拟结果;根据阐述模板将模拟结果转化,得到规则模拟应用文本,得到证据链;提高了规则歧义消解的精准度,提升了冲突解决策略的适配性。
Absstract of: JP2025180886A
【課題】施錠可能な運搬元収納庫から施錠可能な運搬先収納庫に個人が荷物を運搬する状況における問題を解決する。【解決手段】運搬制御装置が、運搬対象の荷物を収納する施錠可能な運搬元収納庫を特定するための情報を受け取り、運搬元収納庫を指定するための運搬元指定情報を得て出力し、運搬元収納庫から運搬された荷物を収納する施錠可能な運搬先収納庫を特定するための情報を受け取り、運搬先収納庫を指定するための運搬先指定情報を得て出力し、荷物が運搬元収納庫から運搬先収納庫まで運搬される間に荷物または荷物の収納具を施錠する錠前を特定するための錠前情報を受け取り、錠前の開錠に必要な認証処理に関する認証制御情報を得て出力する。【選択図】図7
Absstract of: US2025378942A1
Methods, devices, and systems for determining soon to expire items. Historical item data are received. A soon to expire analysis model is trained using the training data to generate a trained soon to expire analysis model configured to receive item data associated with the item and to generate soon to expire prediction for one or more items associated with the item data. The bar includes a platform at a distal edge of the bar. The platform is configured to come in contact with an item deposited in the housing. A sensor is configured to generate a signal indicative of a fill level of the housing based on the platform coming in contact with the item deposited in the housing. Actions are performed to prevent the item from remaining unused past the target date.
Absstract of: JP2025180675A
【課題】情報処理方法、情報処理システム及びコンピュータプログラムを提供する。【解決手段】情報処理方法は、物品が積み付けられる物流部材を複数収容する収容体における前記物品の情報を処理する。情報処理方法は、収容体を識別する収容体識別データと、収容体内で前記物流部材を収容している位置を識別する収容位置識別データとに対応付けて、物流部材の部材識別データを記憶部に記憶し、払出対象の物品、日時及び場所の指定を含む払出リクエストを逐次受け付け、受け付け済みの払出リクエストにて指定されている払出対象の物品が積み付けられた対象の物流部材が収容されている収容体の収容体識別データ及び収容位置識別データを抽出し、収容体の位置と、前記払出リクエストで指定された日時及び場所とに基づき、払出対象の物品が積み付けられた物流部材を移動させる移動経路及び移動時期を、対象の物流部材毎に決定する。【選択図】図1
Absstract of: US2024420355A1
A system outputs planar light having a predetermined pattern and light having a plurality of wavelengths, including visible light and invisible light to a target from a plurality of illumination positions that surround the target at different timings, individually captures images of the target irradiated with the planar light and the target sequentially irradiated with the light having the plurality of wavelengths at a plurality of imaging positions corresponding to the plurality of illumination positions in synchronization with timings at which the light is output, controls a light output and an imager, acquires three-dimensional data indicating a three-dimensional shape over an entire circumference of a surface of the target on the basis of an imaging result of the target irradiated with the planar light, acquires two-dimensional data indicating two-dimensional appearance over the entire circumference of the target viewed from the plurality of imaging positions on the basis of imaging results of the target sequentially irradiated with the light having the plurality of wavelengths, and generates a target digital twin model that reproduces the appearance of the target in a computer-readable form by associating the three-dimensional data with the two-dimensional data.
Absstract of: CN120359576A
Methods and systems for computer-based comparison of use processes of groups of incontinence products. A processor of a computer device, such as an estimation server, is configured to receive, for each of a plurality of wearers in a care system, first evaluation timing data regarding a first process of use of a first set of one or more incontinence products worn by the wearer, second evaluation timing data regarding a second process of use of a second set of one or more incontinence products worn by the wearer and a wearer profile record. The processor is further configured to generate values of a plurality of estimated parameters indicative of a comparison of the first process of use and the second process of use based on processing the first evaluation timing data and the second evaluation timing data and a wearer profile record from each of the plurality of wearers.
Absstract of: WO2025254208A1
Problem To improve convenience for a user who uses a transfer service. Solution This information processing system comprises an acquisition unit that acquires emergency information relating to an emergency request by a requester, and a determination unit that determines, on the basis of each transfer plan for a transfer target by each of a plurality of transfer means, a transfer means for transferring emergency supplies included in the emergency information.
Absstract of: WO2025254207A1
Problem To enable efficient transfers by a transfer means. Solution This information processing system comprises an acquisition unit that acquires information indicating whether at least a person and whether a package is included in the type of a transfer target, and a determination unit that determines a transfer route of a transfer means for transferring the transfer target, the transfer route including, as a destination, a location set in advance according to the type.
Absstract of: WO2025254420A1
An embodiment provides a management method for at least one electronic shelf label, the management method comprising the steps of: acquiring related information of a first product; acquiring identification information of a first electronic shelf label; on the basis of a wireless communication method, acquiring information about a first location of an electronic device adjacent to the first electronic shelf label; determining a location of the first electronic shelf label on the basis of the information about the first location of the electronic device; and allocating the first product to the first electronic shelf label by matching at least one of information about the determined first location of the first electronic shelf label and the identification information of the first electronic shelf label with the related information of the first product.
Absstract of: WO2025254406A1
One embodiment provides a management method for at least one electronic shelf label, the management method comprising the steps of: acquiring related information about a product; acquiring identification information of an electronic shelf label; imaging, by using a first imaging device, an area in which the electronic shelf label is provided; acquiring information about the location of the first imaging device; determining the location of the electronic shelf label on the basis of the information about the location of the first imaging device and an image obtained by imaging, by means of the first imaging device, the area in which the electronic shelf label is provided; and assigning the product to the electronic shelf label by matching, to the related information about the product, at least one of the determined information about the location of the electronic shelf label or the identification information of the electronic shelf label.
Absstract of: WO2025251116A1
A system and method for detecting the presence of a specimen in a container. The container includes an image capture device configured to capture an image of the contents of the container, and a communication module configured to transmit the captured image to a remote server. The remote server processes the image using a machine vision model to generate a confidence level indicating the likelihood that a specimen is present in the container. The confidence level is compared to a predetermined threshold to determine whether to generate a specimen presence signal. The specimen presence signal is associated with a container identifier representing a physical address or location of the container and is transmitted to a user application or customer system. The user application may perform actions such as routing instructions, inventory updates, or chain-of-custody updates based on the specimen presence signal.
Absstract of: WO2025251114A1
An image recognition method for planogram compliance, comprising the steps of: receiving an input image of a target area to be analysed for planogram compliance; detecting one or more objects in the input image; optionally, detecting one or more gaps in the input image; calculating image similarity scores of the one or more objects detected and a plurality of product images; identifying an associated product for at least one of the one or more objects detected, based on the calculated image similarity scores, and assessing the target area based on the one or more objects detected, the one or more gaps detected and/or the associated products identified of the one or more objects.
Absstract of: US2025376327A1
A control system is provided for inventory management facility with a plurality of containers. The control system includes a server, and a container handler operable within the inventory management facility. The container handler tractor comprises onboard sensors configured to generate sensor data of at least one container of the plurality of containers, a geolocation device configured to generate a geolocation value for the at least one container, a wireless transceiver, and a controller coupled to the onboard sensors, the geolocation device, and the wireless transceiver. The controller is configured to transmit the sensor data and the geolocation value for the at least one container to the server. The server is in communication with the container handler and is configured to generate a database associated with the sensor data, the database comprising, for each container, a container logo image and the geolocation value. The geolocation value includes a latitude value, a longitude value, and an altitude value.
Absstract of: US2025378516A1
Systems and methods are described for determining a similarity between a first goods and services description and a second goods and services description. The goods and services descriptions are provided to a machine learning model. The machine learning model returns a first set of goods and services classifications for the first goods and services description and a second set of goods and services classifications for the second goods and services description. A plurality of goods and services similarity scores are determined, each goods and services similarity score indicating a similarity between a first goods and services classification from the first set of goods and services classifications and a second goods and services classification from the second set of goods and services classifications. An aggregate goods and services similarity score is determined based on the plurality of goods and services similarity scores and returned to a user as a query result.
Absstract of: DE102025107984A1
Bereitgestellt werden ein Objektpositionsverwaltungssystem, ein Gepäckpositionsverwaltungsverfahren und ein Programm, das den Komfort verbessern kann. Ein Gepäckpositionsverwaltungssystem beinhaltet: eine Bilderfassungseinheit, die ein aufgenommenes Bild erfasst, das durch Abbilden einer Gepäckplatzierungsfläche erhalten wird; eine Identifikationsinformationserfassungseinheit, die Identifikationsinformationen der Gepäckeingabe an einem Terminal erfasst; eine Bilderkennungseinheit, die einen vorbestimmten Teil eines Arbeiters/einer Arbeiterin, der/die in dem aufgenommenen Bild enthalten ist, erkennt und eine Bildfläche des Gepäcks, die in dem aufgenommenen Bild enthalten ist, schätzt; eine Spezifikationseinheit, die die Bildfläche mit einer vorbestimmten Positionsbeziehung zu dem vorbestimmten Teil aufweist, als eine Gepäckfläche des Gepäcks spezifiziert, und eine Speichereinheit, die Positionsinformationen auf Grundlage einer Pixelposition der Gepäckfläche in dem aufgenommenen Bild und der Identifikationsinformationen in gegenseitiger Assoziation speichert.
Absstract of: US2025378420A1
A process for determining an on-shelf availability status of an item within a retail location is provided. In example aspects, a plurality of potential unavailability events associated with an item for sale at the retail location are received from a collection of product availability detection systems. Potential unavailability events are aggregated in an ensemble model to calculate an overall unavailability score for the item. Based on the overall unavailability score, different actions may be taken, such as updating a tracked inventory or generating a restocking assessment notification.
Nº publicación: US2025378418A1 11/12/2025
Applicant:
INTELLIGRATED HEADQUARTERS LLC [US]
Intelligrated Headquarters, LLC
Absstract of: US2025378418A1
Method, apparatuses, and computer program products for automatically determining a placement location or removal location for one or more items is disclosed. An example method comprising generating a plurality of three-dimensional pallet cells for a pallet; generating one or more three-dimensional item cells for each item of a plurality of items; determining a placement location comprising one or more three-dimensional pallet cells for one or more items of the plurality of items; and causing one or more indications describing the placement location for the one or more items of the plurality of items.