Alerta

一种知识和数据驱动的集装冷藏箱回风温度预测方法

Resumen de: CN121071340A

本发明提出了一种知识和数据驱动的集装冷藏箱回风温度预测方法，实现了集装冷藏箱回风温度的准确预测；该方法以集装冷藏箱送风温度、箱后部温度、箱中部温度、箱外温度、箱内湿度、冷凝器盘管温度作为模型输入，以集装冷藏箱回风温度作为模型输出，建立了基于模糊神经网络的集装冷藏箱回风温度预测模型，设计了知识迁移算法以调整集装冷藏箱回风温度预测模型参数，解决了数据不足情况下集装冷藏箱回风温度预测精度低的问题；实验结果表明该方法能够实现集装冷藏箱回风温度的准确预测，为工程师判断是否启停制冷机组提供准确的回风温度预测信息。

基于图像的分拣物污染动态追踪方法

Resumen de: CN121073901A

本发明公开了基于图像的分拣物污染动态追踪方法，属于分拣物污染监测领域，通过在分拣物输送线上设置污染识别区，结合图像采集、边缘检测和3D点云数据投影技术，准确识别分拣物的实际轮廓；通过提取外观图像的色彩、纹理和形状特征参数以及内部的光谱特征参数和密度分布参数，量化评估分拣物的外观和内部污染情况；通过计算污染分拣物污染强度值、自扩评测值和外扩评测值，综合评估污染扩散风险；最后，实时跟踪污染分拣物位置，依据污染评测值对分练工位的任务处理队列进行排序，智能分配最优分练工位，提高分练效率并降低污染扩散风险；有效解决了分拣物轮廓识别精度不足、污染程度判断不够具体以及分练工位分配僵化的问题。

一种基于数字孪生的智能元器件仓储管理系统及方法

Resumen de: CN121073352A

本发明涉及仓储管理技术领域，公开了一种基于数字孪生的智能元器件仓储管理系统及方法，系统包括：应力管理单元、传导管理单元、变化管理单元、补偿管理单元和孪生管理单元，应力管理单元生成的应力管理张量，可精准捕捉温湿度数据与振动数据的时域‑频域交叉特征，避免遗漏多物理场的非线性交互作用，传导管理单元生成的晶格畸变管理图，能提前识别量子点有源区畸变风险，变化管理单元生成的每个量子点的声子能量管理谱，可跟踪晶格畸变动态变化，补偿管理单元生成的各量子点反向的谱形补偿信号，能抵消中心波长漂移，孪生管理单元生成的孪生管理指令，可避免管理滞后，降低量子点激光器损坏概率，提升仓储管理可靠性。

一种基于物联网的砂浆罐车智能调度方法及系统

Resumen de: CN121073324A

本发明公开了一种基于物联网的砂浆罐车智能调度方法及系统，通过信息采集模块采集砂浆罐车及工地的信息。利用数据中心模块对接收到的信息进行分类、整理和存储。路线更新模块依据砂浆罐车位置确定砂浆罐车当前匹配路段，在电子地图中展示砂浆罐车的实时行驶路线。对象匹配模块按匹配队列顺序及匹配规则完成工地与砂浆罐车之间的对象匹配。路线选择模块获取道路状态，计算砂浆罐车的预计行驶速度，通过计算砂浆罐车在筛选出的不同路线上的预计行驶时间及预计到达时间，选择砂浆罐车到工地的最优路线。执行模块将最优路线选择信息、工地信息同步至值班司机的移动端及砂浆罐车的车载智能终端，以支持值班司机执行运输任务。

一种基于物联网的物流运输数据处理方法及系统

Resumen de: CN121073332A

本发明涉及物流运输领域，尤其涉及一种基于物联网的物流运输数据处理方法及系统，所述方法用于SRM系统，该方法先响应于供应商在初始发货点的发货单信息上传，基于实时定位系统，实时获取货物动态定位信息，再将货物动态定位信息和预设的收货地址输入预训练后的混合时空图卷积网络，预测得到货物的到货时间，最后将货物的到货时间和预设的排产计划输入决策端，输出目标产品的生产工单。相较于现有技术，本发明方法解决了现有技术信息滞后性较大的技术问题。

一种跨境海外仓库位存储和摘取路径优化的人工智能算法

Resumen de: CN121073343A

本发明涉及跨境物流技术领域，具体涉及一种跨境海外仓库位存储和摘取路径优化的人工智能算法，包括以下步骤：S1、获取订单详情、商品特性和仓库环境数据，实时监控仓库状态和货物存储情况；S2、进行数据预处理，提取特征并进行聚类分析，挖掘关联规则；S3、进行规则匹配，构建混合整数规划模型和约束处理，输出商品存储策略；S4、将存储策略转换为仓储作业指令，并执行仓储作业指令。本发明的有益效果是：能够提高货物分类存储的准确性和仓库库位空间利用率，降低了库位存储成本。

一种医用高值耗材的智能管理系统、方法及存储介质

Resumen de: CN121075585A

本发明属于医用耗材管理技术领域，具体涉及一种医用高值耗材的智能管理系统、方法及存储介质，包括管理柜本体、权限管理模块、生物电识别模块、近效期预警模块以及低库存预警模块；本发明通过引入权限管理模块、生物电识别模块以及低库存预警模块等，实现了耗材出入库的自动化记录、实时库存量的自动计算以及预警信息的自动发送。例如，低库存预警模块根据耗材的补货和使用情况自动计算当前库存量，当库存量低于设定的最低库存时，自动向库管人员发送低库存预警，这使得库管人员能够及时补充耗材，避免了因库存不足导致的医疗操作延误，大大提高了管理效率。

一种自动生成付款单的系统

Resumen de: CN121073682A

本发明提供了一种自动生成付款单的系统，包括：收单管理模块，收单管理模块通过定时任务从各业务系统中自动拉取增量的出库单据；计费规则模块，用于根据每个客商的情况，为每个客商配置计费规则；计费明细模块，用于按照定时任务根据每个客商的计费规则自动获取符合条件的出库单据，计算费用项的金额，生成计费明细；账单生成模块，用于根据计费规则中的结算周期，在出账日自动把计费明细汇总成账单；结算单模块，用于在账单审批通过后，创建结算单，创建过程支持账单的增加、删除，以及修改账单明细；付款单模块，用于在结算单审批通过后，根据结算单创建付款单；成功付款后，更新该付款单的付款信息，并自动反馈付款信息至结算单与账单。

基于.Net Core+RabbitMQ生物实验室的订单数据同步方法、系统以及设备

Resumen de: CN121078058A

一种基于.Net Core+RabbitMQ生物实验室的订单数据同步方法包括以下步骤：构建订单数据模型，定义对应的订单数据的模型对象；构建RabbitMQ连接工厂，创建RabbitMQ的连接对象；提供消息生产者服务；以及执行消费者服务，实验室系统各个业务系统执行消费者注册，定义对应的连接对象以及定义各自业务系统对相关信息的处理逻辑，并发送处理结果至对应服务器处理结果，如果报错则重试三次，三次后仍有问题则放入死信队列进行人工干预。

一种基于人工智能的后勤保障物质智能验收方法

Resumen de: CN121073386A

本发明公开了一种基于人工智能的后勤保障物质智能验收方法，包括如下步骤：采集后勤保障物质的数据并获取对应订单信息，得到多模态特征数据集；通过规则引擎进行校验，输出规则校验信息；基于规则校验信息和多模态特征数据集，构建改进型梯度提升决策树模型；利用改进型梯度提升决策树模型进行异常判别，输出异常判别结果；进行异常推送流程，将异常判别结果推送至采购端及运维后台；当扫码失败、网络中断时，将多模态特征数据集和异常判别结果进行本地缓存；将多模态特征数据集、规则校验信息、改进型梯度提升决策树模型、异常判别结果、推送过程及复核日志进行电子化归档。本发明采用规则融合与梯度提升模型，实现物质智能验收。

一种工程项目管理系统及方法

Resumen de: CN121073045A

本发明属于工程项目管理技术领域，具体涉及一种工程项目管理系统及方法。该方法包括：在工程项目施工前，根据BIM模型获取施工区、施工工序及施工信息；获取施工期间每个施工区的每日现场数据；基于每日现场数据，获得对应施工工序的初始施工进度，并与施工信息的目标施工进度进行比对分析；根据比对分析结果结合环境参数是否超出环境敏感阈值以及缺陷参数执行预警策略。本发明通过每日记录现场材料使用情况可以对当日的项目总进度进行监测，并在进度不足预期或材料超量时发出警报，方便及时进行调整和纠偏，具有统计周期较短、统计工作量较少等优点，通过设置核心施工区和一般施工区，有利于合理分配材料，集中资源确保主要结构施工的进度。

陳列システム、及び陳列方法

Resumen de: JP2025176355A

【課題】商品の陳列を効率的に行うことができる陳列システムを提供すること。【解決手段】店舗サーバ３０と、スマートグラス５０と、を備える陳列システム１００において、店舗サーバ３０は、店舗２００内を撮像する撮像装置６０から取得された撮像画像に基づいて、棚８０に陳列された商品７０の陳列位置と、商品７０のステータスと、を関連付けて記憶し、スマートグラス５０は、店舗サーバ３０から送信された商品７０の陳列位置に合わせて、商品７０の陳列位置に関連付けられた商品７０のステータスの虚像を商品７０の実像と重ね合わせて表示する。【選択図】図１３

ASSOCIATION-BASED INTELLIGENT ASSET TRACKING

Resumen de: WO2025250409A1

Systems and techniques are described herein for association-based asset tracking. For instance, a computing device (e.g., an application server) can determine a plurality of associations among a plurality of assets. The computing device can monitor a plurality of messages being communicated corresponding to each association of the plurality of associations, detect an exception has occurred based upon the monitoring, and generate a notification based upon the detected exception. Each association of the plurality of associations can be created between two different assets of the plurality of assets. Each of the two different assets can be in a same mesh network or can be in different mesh networks.

搬送計画作成装置、搬送計画作成方法、及び搬送計画作成プログラム

Resumen de: JP2025176680A

【課題】運搬車両間の作業干渉を抑制しつつ運搬車両の作業負荷を平準化し、運搬車両全体の作業効率を向上させる。【解決手段】搬送計画作成装置１０は、運搬車両が前記運搬作業を実行する際に要する時間である運搬作業時間を運搬作業毎に算出し、複数の運搬作業から複数の運搬作業群を生成し、運搬作業群に含まれる一の運搬作業の終了後の搬送先から運搬作業群に含まれる他の運搬作業の搬送先までの、運搬対象の積載されていない状態の台車を載せた運搬車両の移動時間を示す空搬送時間の指標である運搬作業組合せ負荷を運搬作業群毎に算出し、運搬作業組合せ負荷と運搬作業時間から算出される作業負荷評価値を運搬作業群毎に算出し、各運搬作業群の作業負荷評価値が平準化するように複数の運搬作業群を再編成し、運搬作業群の単位で運搬車両に運搬作業を割り当て、運搬車両に割り当てられた運搬作業群に含まれる運搬作業の搬送順番を決定する。【選択図】図４

Inventory quantity calculation system for estimating inventory quantities

Resumen de: US2025371493A1

An inventory quantity calculation system includes a receiving unit, a calculation unit, and an output unit. The receiving unit receives historical beginning-of-period stock quantity estimates, historical end-of-period stock quantity estimates, historical end-of-period actual stock quantities, and historical estimated shipment quantities. Based on the received historical beginning-of-period stock quantity estimates, historical end-of-period stock quantity estimates, historical end-of-period actual stock quantities, and historical estimated shipment quantities, the calculation unit determines a decision value and calculates a first stock quantity estimate and a second stock quantity estimate for the end of the next time period. The output unit outputs the first stock quantity estimate, the second stock quantity estimate, or a third stock quantity estimate based on the decision value. The third stock quantity estimate is calculated based on the first stock quantity estimate and the second stock quantity estimate.

METHOD AND SYSTEM FOR CONTROLLING A VEHICLE BASED ON VEHICLE STATE INFORMATION AND PARCEL INFORMATION OF AN ECO-FRIENDLY VEHICLE

Resumen de: US2025368091A1

A method for controlling a vehicle based on vehicle state information and parcel information of an eco-friendly vehicle includes obtaining information about the vehicle or parcels from an external device or at least one sensor. The method further includes determining loading or unloading of the parcels based on the information about the vehicle or the parcels. The method further includes determining a required State Of Charge (SOC) of a battery of the vehicle based on the loading or the unloading of the parcels and the information about the vehicle or the parcels. The method further includes controlling the battery of the vehicle based on the required SOC of the battery of the vehicle or providing a driver with information about the required SOC of the battery of the vehicle.

FIXING DEVICE

Resumen de: US2025370666A1

A fixing device includes a heating roller rotatable about a first axis extending in a rotation axis direction, a first side frame, a second side frame, a first connecting frame connecting the first side frame and the second side frame, and a first temperature sensor. The first temperature sensor detects a temperature of the heating roller and includes a fixed portion that is fixed to the first connecting frame and a detecting portion. The first connecting frame includes a first wall portion extending in the rotation axis direction, a second wall portion extending from a side of the first wall portion at an angle with respect to the first wall portion, and a third wall portion extending from a side of the second wall portion opposite to the first wall portion at an angle with respect to the second wall portion.

PRODUCTION MANAGEMENT APPARATUS

Resumen de: US2025370436A1

A production management apparatus manages a production line. The production management apparatus includes a communication unit configured to communicate with an information providing unit configured to provide identification information to a packaging material; and a control unit configured to generate the identification information to be transmitted to the information providing unit, and configured to transmit the generated identification information via the communication unit. While the production line produces a product, when the control unit executes intermediate inspection control to inspect whether inspection functions of inspection apparatuses and operate normally, the control unit transmits specific identification information, which is the identification information specifying that the product is a product for inspection, to the information providing unit.

SHELVING DISPLAY SENSOR SYSTEM

Resumen de: US2025370693A1

One broad aspect of the invention features a shelving facing display. The shelving facing display includes a housing, an electronic display, and multiple product sensors. The housing is mountable to a forward edge of a product shelf. The electronic display is mounted to the housing and arranged to be viewed from in front of the shelf. The electronic display is controllable to present desired images across at least a majority of a width of the shelf. The multiple product sensors are mounted to the housing. Each sensor is arranged to detect product on a respective width of the shelf. The display is configured to alter a displayed image in response to input from the product sensors.

AUTOMATED GIFTING USING MACHINE LEARNING

Resumen de: US2025371606A1

Disclosed are various embodiments for automating the gift-giving process using machine learning. To begin, a computing device can identify a date and a recipient associated with the date. The computing device can obtain recipient data associated with the recipient, and using the recipient data as a key, query a graph database for a gift recommendation corresponding to the recipient. Additionally, using a generative machine learning model, the computing device can generate a gift message corresponding to the gift recommendation. Finally, the computing device can send the gift message to the recipient.

INVENTORY MANAGEMENT

Resumen de: US2025371492A1

Techniques for managing inventory of a product at a facility in a supply chain are described. In an example, product code information associated with the product at the facility is received, where the product code information comprises at least one of hierarchical information, path information, and event information associated with the product. An expected inventory of the product at the facility is then determined from the product code information. An actual inventory of the product at the facility is then retrieved from an inventory database associated with the facility. The expected inventory is then compared with the actual inventory to identify a discrepancy in the inventory of the product. A point of discrepancy in the supply chain where the discrepancy in the inventory of the product had occurred is then identified, where the point of discrepancy is identified from the path information.

CUSTOMER PREFERENCE DRIVEN VEHICLE SUPPLY MANAGEMENT SYSTEM

Resumen de: US2025371592A1

A system includes an application configured to, based on user inputs, generate a target vehicle specification, and a database including a collection of inventory specifications of vehicles in a vehicle inventory. The system also includes a spec encoder configured to: encode the target vehicle specification as a first code; encode the collection of inventory specifications as a collection of second codes; and map the target vehicle specification and inventory specifications into a multidimensional space. The multidimensional space includes one dimension for each specification category. A preference class vector includes a weight for each dimension. A matching engine, based on the preference class vector, defines a search neighborhood around the target specification in the multidimensional space; identifies inventory specifications that fall within the search neighborhood, computes match scores for the identified vehicles; and reports the match scores and corresponding vehicles.

CART-BASED AVAILABILITY DETERMINATION FOR AN ONLINE CONCIERGE SYSTEM

Resumen de: US2025371494A1

An online concierge system may use images received from shopping carts within retailers to determine the availability of items within those retailers. A shopping cart includes externally-facing cameras that automatically capture images of the area around the shopping cart as the shopping cart travels through a retailer. The online concierge system receives these images, which depict displays within the retailers from which a picker or a retailer patron can collect items. The online concierge system determines which items should be depicted in the images and which items are actually depicted in the images. The online concierge system identifies which items should be depicted, but are not depicted, and determines that these items are unavailable (e.g., out of stock) at that retailer. The online concierge system updates an availability database to indicate that these items are unavailable and may notify the retailer that the item is unavailable.

Machine Learning Assisted Alerts for Item Picking

Resumen de: US2025371495A1

A machine-learned predictive model is trained to predict potential for customer complaint. The model is part of an online concierge system. The online concierge system accesses a customer order that includes one or more items. The online concierge system determines input data for an item of the one or more items. The online concierge system determines a prediction value associated with potential for customer complaint for the item by applying the machine-learned prediction model to the input data. The online concierge system provides the prediction value to a picker client device associated with a picker who is assigned the item. The picker client device presents an alert to the picker based in part on the prediction value, and the alert includes a message that is customized to mitigate a cause of potential customer complaint for the item.

Method and System for Supply Chain Data Optimization and Visualization

Nº publicación: US2025371487A1 04/12/2025

Solicitante:

S&P GLOBAL INC [US]
S&P Global Inc