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电力物资智能搬运机器人的路径优化方法、装置及其设备

Resumen de: CN121702410A

本申请公开了一种电力物资智能搬运机器人的路径优化方法、装置及其设备，该方法包括：获取包含电力仓库中搬运机器人的通行区域信息的二维栅格地图，并对二维栅格地图进行线性设施识别；在识别出线性设施时，基于使搬运机器人垂直穿过线性设施的正交方向，生成方向代价函数；基于方向代价函数，分析搬运机器人从不同方向穿过线性设施时的代价值，代价值表征搬运机器人从不同角度穿越线性设施时需要付出的时间成本、翻车成本和距离成本；在二维栅格地图中，以搬运机器人的起点至终点的累积代价值最小为优化目标，生成由连续坐标点组成的规划路径。也即，使所规划的路径同时兼顾效率与安全，从而提高搬运机器人在执行搬运作业时的平稳性。

一种基于料箱机器人的批量物料转运方法、系统、设备及介质

Resumen de: CN121705970A

本申请涉及了一种基于料箱机器人的批量物料转运方法、系统、设备及介质，方法包括：获取多个料箱机器人对目标料箱的原始扫码数据，基于验证筛选算法更新原始扫码数据，得到目标扫码数据；基于料箱机器人采集转运时段内目标料箱的转运传感数据，确定目标料箱的第一转运参数，根据目标扫码数据，确定目标料箱的第二转运参数；根据第一转运参数和第二转运参数，基于准确度预测神经网络，确定目标料箱中物料转运信息的准确度参数，所述准确度参数用于在生产计划中表征物料转运过程的准确程度。

用于智能包装与请求系统之间的可选择性地调整的数据交换的系统和方法

Resumen de: CN121444175A

Surgical systems and methods are provided. The surgical system includes: at least one manufacturer-sealed sterile surgical package, the at least one manufacturer-sealed sterile surgical package containing a surgical instrument; and an electronic management system in electronic communication with the at least one manufacturer-sealed sterile surgical package. The electronic management system is configured to: receive inventory data characterizing inventory information of the manufacturer-sealed sterile surgical package; updating a master management list with the received inventory data; determining a surgical inventory list for a surgical procedure with the surgical instrument based on the updated master management list, the surgical inventory list including surgical equipment required for the surgical procedure; the surgical inventory list is provided.

用于存储和传输智能化包装元数据的系统和方法

Resumen de: CN121444175A

Surgical systems and methods are provided. The surgical system includes: at least one manufacturer-sealed sterile surgical package, the at least one manufacturer-sealed sterile surgical package containing a surgical instrument; and an electronic management system in electronic communication with the at least one manufacturer-sealed sterile surgical package. The electronic management system is configured to: receive inventory data characterizing inventory information of the manufacturer-sealed sterile surgical package; updating a master management list with the received inventory data; determining a surgical inventory list for a surgical procedure with the surgical instrument based on the updated master management list, the surgical inventory list including surgical equipment required for the surgical procedure; the surgical inventory list is provided.

用于资产性能管理的方法和处理系统、以及电力系统

Resumen de: WO2025040242A1

Techniques for performing asset performance management for assets (12, 13, 14) of an electric power system (10) are provided. A processing system (30) is operative to perform natural language processing of a query and to perform a function determined from a set of several functions supported by the processing system (30), with the function being determined based on the query.

一种基于区块链技术的物流供应链管理方法及系统

Resumen de: CN121707465A

本发明提供一种基于区块链技术的物流供应链管理方法及系统，涉及数据处理技术领域，所述方法包括：仓储中心在货物入库时扫描溯源码并验证货物信息，验证通过后，加密存储至区块链，得到入库数据；通过入库数据，根据货物类别及库位编号建立动态库存数据库，并生成库存状态预警指标。本发明有提供一种基于区块链技术的物流供应链管理方法及系统，通过区块链的分布式存储、不可篡改特性，结合智能合约与物联网技术，实现库存的动态精准管理、物流路径的实时优化以及全链条信息的可信溯源，提升供应链协同效率，降低运营成风险。

一种基于区块链的校园商品库存管理方法

Resumen de: CN121707474A

本发明公开了一种基于区块链的校园商品库存管理方法，涉及校园商品管理技术领域，包括：在多个校园商品库存管理节点中，建立包含商品标识信息、库存数量信息、库存状态信息和生命周期信息的库存记录数据结构，并为每一个校园商品库存管理节点配置区块链上的公钥身份标识信息；在区块链外部处理环境中部署库存处理模块，生成调拨路径信息、库存预测信息和访问权限配置信息。本发明通过构建包含节点标识信息和商品生命周期信息的库存记录数据结构，并结合区块链身份注册机制，能够有效绑定库存数据与管理节点身份，实现库存信息在多个校园商品库存管理节点之间的统一登记与可信记录。

一种数据驱动的WMS仓储优化方法及系统

Resumen de: CN121707460A

本发明公开了一种数据驱动的WMS仓储优化方法及系统，涉及仓储管理技术领域，该方法包括：在各预设统计周期结束时，获取中间库物料的WMS系统的实际库存数量和ERP系统的理论库存数量，计算库存差异率；连续采集多个统计周期的库存差异率，形成差异率时间序列；计算差异率时间序列的差异方向一致性系数和渐进趋势变化率；当差异方向一致性系数和渐进趋势变化率均超过各自阈值时，判定该物料存在系统性偏差；对存在系统性偏差的物料，根据差异率时间序列的平均值计算BOM修订系数，生成BOM修订建议值；本发明通过结合差异率平均值、统计周期数量和置信度调整系数的差异率修订技术，实现了对BOM修订幅度的自动合理约束。

无人机物流路径规划方法、装置、可读介质及电子设备

Resumen de: CN121707457A

本发明公开了一种无人机物流路径规划方法、装置、可读介质及电子设备，该方法包括：采用栅格法进行空间环境建模；建立基于航程代价、高度代价和危险度代价的模型目标函数，并建立无人机路径的多维度的复合约束条件；根据无人机当前节点的位置、航向和俯仰角，生成候选方向，并根据所述候选方向计算下一个节点的位置，以获得无人机的路径段；基于建立的模型、所述模型目标函数和所述复合约束条件对无人机的路径进行优化。在满足无人机安全的前提下，进行航行总代价最小的无人机路径规划。

一种基于多智能体的全域电商供应链管理方法及系统

Resumen de: CN121707443A

本申请实施例提出了一种基于多智能体的全域电商供应链管理方法及系统，涉及电商供应链管理技术领域，方法包括获取目标区域内定义营销活动特性的参数；根据参数，计算反映客户对配送时效预期的心理时效指标；获取目标区域内与配送时效相关的外部文本数据；根据外部文本数据修正心理时效指标，得到修正时效指标；将修正时效指标附加至由营销活动产生的订单数据，得到时效订单数据；响应于时效订单数据，根据修正时效指标，确定配送调度策略；响应于时效订单数据，根据修正时效指标，确定出库顺序。本申请能够提升配送效率和客户满意度，克服了现有技术中局部优化而非全局优化的不足。

一种地铁展销终端商品售后管理系统

Resumen de: CN121707571A

本发明一种地铁展销终端商品售后管理系统公开了一种通过仓位标识模块实现展销终端的唯一编号与位置识别，通过商品绑定模块实现商品与展销终端的精准匹配和扫码追溯，通过包装检测模块实现商品可视化展示与防拆封判定，通过报损处理模块完成购买后的损坏报备与证据上传，通过售后处理模块实现退换货与打折处理的自动化执行，通过售后协同模块实现地铁各站点售后中心的扫码核销与补货调度，从而实现地铁展销商品的全过程可追溯、快速售后与智能管理的地铁展销终端商品售后管理系统。其特征在于包括仓位标识模块、商品绑定模块、包装检测模块、报损处理模块、售后处理模块和售后协同模块。

配送サービスに関する配送の需給レベル情報を提供する方法及び装置

Resumen de: TW202534588A

A method for providing information on an electronic apparatus providing a delivery service, according to an embodiment of the present invention, comprises the steps of: identifying a target area; identifying statistical information related to delivery to the target area; identifying recent information corresponding to the current time related to the delivery to the target area; identifying a delivery supply and demand level on the basis of the statistical information and the recent information; and providing information related to the delivery supply and demand level.

Artificial Intelligence Agent Using a Machine-Learning Model and Reinforcement Learning Model to Guide Picking Process

Resumen de: US20260080355A1

An artificial intelligence (AI) agent is disclosed that assists an entity to complete a task. The entity is assigned to complete a task. The AI agent monitors events to detect an occurrence of an event associated with the task. A machine learning model of the AI agent is prompted to generate a set of candidate actions based in part on the detected event and data about the entity. A reinforcement learning model of the AI agent scores each candidate action from the set to tailor the candidate actions to the entity. A scored action is selected as a recommended response to the event and is communicated to a client device of the entity which causes the entity to perform the selected action.

ＡＩ駆動型統合インサイトを生成するためのシステムおよび方法

Resumen de: EP4708180A1

Computerized systems and methods are described for automated AI-driven customer and vendor segmentation and personalized insights delivery. The method involves collecting real-time data, including purchasing behavior and market trends, analyzing it using AI/ML algorithms for segmentation, and delivering personalized insights through a user-friendly Single Pane of Glass User Interface (SPoG UI). Transaction details are logged for ongoing enhancement. Effectiveness of segmentation is monitored and refined based on user feedback and evolving market dynamics. Multiple data sources and analytics tools are integrated for comprehensive analysis. Users can customize segmentation parameters, and delivery options include push notifications and email alerts. The system facilitates continuous optimization and adaptation, enhancing relevance and precision.

ベンダ非依存型ＣＴＯ／ＱＴＯ（注文構成／見積りから注文）を行うためのシステムおよび方法

Resumen de: EP4708181A1

Computerized systems and methods are described for managing vendor-agnostic configure-to-order (CTO) and quote-to-order (QTO) processes. A Real-Time Data Mesh (RTDM) is provided for aggregating, standardizing, and normalizing real-time data from various sources. A Single Pane of Glass User Interface (SPoG UI) facilitates dynamic interaction and visibility into vendor performance. An Advanced Analytics and Machine-Learning (AAML) Module analyzes product compatibility, optimizes pricing strategies, and predicts market trends. A Vendor-Agnostic CTO/QTO Integration Module (VACIM) includes a Process Standardization Engine and a Vendor Data Transformation Gateway to ensure uniformity across vendors. Methodologies within the invention automate data processing, integrate transformation gateways for data consistency, and employ rule engines driven by machine learning for decision-making, thereby streamlining vendor processes, enhancing scalability, and optimizing pricing strategies in a scalable, adaptable framework.

リアルタイム注文履行監視

Resumen de: US20260073350A1

Methods and apparatus for automated order placement and fulfillment monitoring are provided. An order is received from a Point of Sale (PoS) device. One or more items in the order are identified. Responsive to receiving a confirmation of the order, a status of each item, among the one or more items in the order, is monitored. A graphical element rendered in a display interface is updated, the graphical element displaying changes in the status of each item within the order.

SYSTEM AND METHOD FOR ELECTRONIC COMMUNICATIONS AND CUSTOMER INTERACTIONS WITH RETAIL STORES

Resumen de: WO2026060066A1

For each potential retail store of interest indicated by a customer in the store selection, an electronic connection is made between a computer application operated by the customer and an electronic accounting system of each retail store. The electronic accounting system is adjusted in real-time by events occurring at the retail store. Contents of the electronic accounting system are visible, accessible, and adjustable by the computer application in real time. Various other actions can occur such as displaying customer avatars and offering suggestions to customers.

FORECASTING USING TOPOLOGICAL HIERARCHICAL DECOMPOSITION

Resumen de: WO2026060047A1

An example computer-implemented method for temporal data analysis and forecasting utilizes topological hierarchical decompositions to process historical and future time windows. The method receives sales data and purchase data for at least one item and generates multiple sets of historical time subsets with varying lengths, where information in shorter subsets is duplicated in longer ones. Future time windows are also generated in a similar manner. Future time windows are chronologically after a given initial time. The method creates past and future topological hierarchical decompositions and directed graph adjacency arrays. Customer attention matrices are generated for past and future windows, and matrix multiplications are performed to create self-attention arrays. These arrays are then multiplied together. The method culminates in providing a dashboard for forecasting after an initial time point, enabling comprehensive temporal data analysis and prediction.

SHOPPING CART INVENTORY CHANGE INDICATOR SYSTEM

Resumen de: WO2026058258A1

A shopping cart system is disclosed which integrates multiple technologies for enhanced inventory management and theft detection. The system includes a barcode scanner, camera computer-vision system for real-time product recognition, a security scale to detect weight discrepancies, and an anomaly detection module for monitoring shopper behavior and identifying theft-related patterns. These components collectively improve inventory accuracy and security within retail environments.

SYSTEMS AND METHODS FOR DESIGNING CLEAN ENERGY SYSTEMS

Resumen de: WO2026055764A1

Systems and methods for designing clean energy systems are disclosed that optimize a design of a clean energy system. A computer-implemented method of designing a clean energy system comprises receiving, from a user device, design parameters for the clean energy system, the design parameters including project information and an objective function to optimize a design of the clean energy system; determining available equipment from one or more equipment providers; determining an optimal system configuration and an optimal equipment selection for the clean energy system by iterating combinations of the available equipment and system configurations and calculating the objective function for each combination of equipment and system configuration; and outputting the design of the clean energy system comprising the optimal system configuration and the optimal equipment selection for display in a user interface of the user device.

METHODS AND SYSTEM FOR TRACKING PRODUCTION BYPRODUCTS

Resumen de: US20260080340A1

Embodiments of the disclosure provide systems and methods for monitoring of manufacturing processes and tracking of production byproducts. Monitoring of manufacturing processes and tracking of production by-products can comprise reading a Bill of Materials (BOM) for a product. A component cost value for a by-product can be assigned for each component of the plurality of components in the BOM for the product. A process cost value for the by-product can be calculated for each manufacturing process of a plurality of manufacturing processes to produce the product using the plurality of components. The component cost value for the by-product for each component and the process cost value for the by-product for each manufacturing process can be accumulated into a total by-product cost value for the product. The total by-product cost value for the product can be provided.

Integrated Multi-Domain AI Camera System for Security, Workforce Analytics, Inventory Management, and Physiological Monitoring

Resumen de: US20260080687A1

An integrated artificial intelligence camera system provides multi-domain monitoring and enterprise automation from a single hardware endpoint. A camera assembly and auxiliary sensors, including at least one of depth, thermal, audio and environmental sensors, feed an edge compute module executing modular perception, identity, physiological estimation and domain-logic pipelines. The system detects and tracks persons, objects and activities; generates pseudonymous identity tokens for enrolled workers; estimates breathing rate and related wellness indicators from non-contact visual and thermal signals; and transforms these outputs into normalized event records annotated with security, inventory, workforce, payroll, physiological and compliance labels. A unified event model standardizes timestamps, device identifiers, site and zone identifiers, actor identifiers, metrics, confidence scores, policy tags and evidence references, enabling direct integration with payroll, inventory management, security incident and analytics platforms. A policy engine governs feature activation, anonymization and retention per jurisdiction and user role.

DEMAND FORECASTING SYSTEM

Resumen de: US20260080425A1

Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.

DEMAND FORECASTING SYSTEM

Resumen de: US20260080422A1

Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.

FEATURE SELECTION FOR A DEMAND FORECASTING SYSTEM

Nº publicación: US20260080426A1 19/03/2026

Solicitante:

TARGET BRANDS INC [US]
Target Brands, Inc

Resumen de: US20260080426A1

Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.