Alerta

油气模块建造材料精益配送路径参数优化方法

Resumen de: CN120146334A

本发明公开了一种油气模块建造材料精益配送路径参数优化方法，通过建立厂区的二维模型图，在厂区的二维模型图中建造物料一一对应的油气模块建造物料的分类数据库，通过油气模块建造物料分类数据库，找到仓库中对应型号的材料后，进行运输车辆的初步规划路径，采用贝塞尔曲线对所有的初步规划路径进行防碰撞优化，得到运输车未发生碰撞的运输路径以及所述的运输路径的距离，进行油气模块配送过程运输费用成本的优化，选取运输费用P最少的运输路径作为运输车的运输路径输出。采用本发明可以提高了大型模块建造材料配送效率，同时减少了发生碰撞事故的可能性，节省了人力成本。

跨境物流运输分拣方法及装置、计算机可读存储介质

Resumen de: CN120146727A

一种跨境物流运输分拣方法及装置、计算机可读存储介质，所述跨境物流运输分拣方法包括：采集目标货物对应的物流面单上的第一分拣码；获取所述第一分拣码对应的第一目的地，并判断所述第一目的地是否存在运行异常信息；确定所述第一目的地存在运行异常时，生成提示信息并输出。采用上述方案，能够及时地获知第一目的地的运行情况，进而能够及时地对货物的运输路线进行调整，提升派送时效。

任务执行方法、装置、电子设备和计算机可读介质

Resumen de: CN120146414A

本公开的实施例公开了任务执行方法、装置、电子设备和计算机可读介质。该方法的一具体实施方式包括：确定当前时刻对应的第一订单分配适用模板，其中，第一订单分配适用模板包括：任务积压阈值；响应于确定当前执行任务的任务数量小于任务积压阈值，根据第一订单分配适用模板包括的订单个性化分配配置信息，执行当前时刻对应至少一个订单的订单分配，以得到订单分配信息；响应于确定订单分配信息表征将至少一个订单作为同一拣货任务订单，生成针对至少一个订单的拣货任务信息；执行针对拣货任务信息的拣货任务。该实施方式与订单分配有关，可以利用第一订单分配适用模板，实现订单的个性化分配，提高了订单分配效率。

一种门店补货量计算方法、装置、设备及存储介质

Resumen de: CN120146770A

本申请公开了一种门店补货量计算方法、装置、设备及存储介质，方法包括：依据历史商品销售量和预设备货天数分别计算商品的安全基础补货量和销售基础补货量；通过第一补货优化模型根据安全基础补货量求解安全单品补货量，得到安全补货计算值；基于安全补货计算值更新销售基础补货量，得到更新基础补货量；采用分支定界法通过第二补货优化模型根据更新基础补货量求解销售单品补货量，得到销售补货计算值，第二补货优化模型的约束条件包括基于更新品类补货量的约束。本申请能够解决现有技术并未考虑不同类型商品之间的影响，且仅着眼于单品数据在简单情况下的分析，导致补货量计算结果缺乏准确性和可靠性的技术问题。

一种船舶货运视频监控处理装置及方法

Resumen de: CN120151481A

本发明公开了一种船舶货运视频监控处理装置及方法，涉及船舶摄像头、安全区域数据库、本地视频储存模块、LTE通信模块、云端图像与船舶定位信息分析系统、云端视频储存模块、以及通过云端短消息服务(SMS)的短信报警模块。船用摄像头在工作时，将拍摄的视频存储于与之相连的视频数据储存模块。同时，依据所载货物特性，每隔一段时间便通过与之相连的LTE通信模块，将图像和船舶位置传送至云端图像数据与船舶定位信息分析系统。云端图像数据分析系统对静态图像数据进行比对与分析，一旦发现船舶所载货物发生变化就自动将变化前后的图像进行保存并通过短信等方式发出报警，实现了货物的自动化监控。

EVOLUTIONARY COMPUTATIONAL MODULAR NEURAL NETWORKS, STRUCTURES AND METHODS, INCORPORATING EVOLUTIONARY COMPUTATIONAL ECONOMIC DATA SYSTEMS, AND ADAPTIVE, EMERGENT, EVOLUTIONARY AUGMENTED ECONOMIC DATA SYSTEM MACHINE LEARNING

Resumen de: US2025190748A1

Disclosed herein are evolutionary computational modular neural networks, structures and methods: incorporating evolutionary computational economic data system structures and methods; and adaptive, emergent, evolutionary economic data system machine learning structure and methods: that create, govern, constrain and contextualize, the stochastic selections and configurations, of adaptive, emergent and evolving goods, services and assets, contextual data, structures, dimensions, connections, relationships, perspectives, parameters and exchange mechanisms, including location and utility, between and among self-organizing supply and demand agent computing devices.

System and Method of Integrating Social Trends in Assortment Planning

Resumen de: US2025191008A1

A system and method are disclosed for aggregating product trends. Embodiments include receiving an initial set of images from one or more data feeds by a trend aggregation system comprising a server, identifying one or more attribute values from the initial set of images, and quantifying a social affinity score of one or more items of an inventory of a supply chain entity based on recentness, relevance, and similarities of the identified one or more attribute values to an attribute value of a potential product for a product assortment. Embodiments may further include receiving an image of at least one additional item, identifying a product attribute from the image, and assigning an attribute value to the at least one additional item based, at least in part, on the identified attribute value from the image of the least one additional item and the attribute values of the at least two items.

DEEP REINFORCEMENT LEARNING FOR PRODUCTION SCHEDULING

Resumen de: AU2025203797A1

Methods and apparatus for scheduling production at a production facility are provided. A model of a production facility utilizing one or more input materials to produce products that satisfy product requests can be determined. Each product request can specify a requested product to be available at a requested time. Policy and value neural networks can be determined for the production facility. The policy neural network can represent production actions to be scheduled at the production facility and the value neural network can represent benefits of products produced at the production facility. The policy and value neural networks can use the model of the production facility during training for generating a schedule of the production actions at the production facility that satisfy the product requests over an interval of time and relates to penalties due to late production of the requested products.

METHOD FOR ELECTRONICALLY DOCUMENTING A CLEANING PROCESS

Resumen de: AU2025203812A1

Abstract Method for electronically documenting a cleaning process, in which data of the cleaning process are captured and written to an electronic database, comprising the following steps: - capturing preparation data in connection with preparing for the cleaning process, - capturing performance data in connection with performing the cleaning process, - capturing post-processing data in connection with following up on the cleaning process.

METHOD AND SYSTEM FOR INCONTINENCE PRODUCT ASSESSMENT

Resumen de: AU2022488081A1

Method and system for performing computer-based comparison of processes of use of sets of incontinence products. A processor of a computer device such as an evaluation server is configured to receive, for each wearer from a plurality of wearers in a care system, first assessment time series data regarding a first process of use of a first set of one or more incontinence products worn by the wearer, second assessment time series data regarding a second process of use of a second set of one or more incontinent products worn the wearer, and a wearer profile record. The processor is further configured to generate values of a plurality of evaluation parameters indicating a comparison of the first process of use and the second process of use, based on processing the first and second assessment time series data, and the wearer profile record for each wearer from the plurality of wearers.

METHOD FOR TRACKING PLACEMENT OF PRODUCTS ON SHELVES IN A STORE

Resumen de: US2025190941A1

One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

GLOBAL AND LOCAL CATEGORY-BASED ITEM LOCATION FILTERING

Resumen de: US2025190943A1

A system and method for global and local category-based item location recognition filtering is provided. A plurality of candidate items associated with a current location within a retail environment are filtered using a global level filter that identifies and removes items associated with an item category that is not a confirmed category for the recognized location. A local level filter analyzes item count values for the remaining candidate items to identify and remove low-count items. If any single item count is below a threshold, the low count items are removed. If all the candidate items are low count items at the item level, a count values for all candidate items in the same category are aggregated into a category-level item count value which is used to identify low count items. The low-count items are filtered out to eliminate false positives for improved accuracy and reliability of the item-to-location mapping results.

Tool Inventory and Tracking System

Resumen de: US2025190939A1

Methods and systems are described for inventory management in scenarios like aircraft repair locations, hospitals, or other locations in need of tracking inventory. A central tool inventory or repository can be used to stock smart retainers and toolboxes. The smart retainers and toolboxes can each comprise a variety of receptacles for storing items, tools, supplies, vehicles, or other objects that a user desires to track and monitor. And each may comprise a computing device configured to detect and track the presence of all items stored within the respective smart retainer or toolbox. A user may only be able to check out those items necessary to complete an identified task. Machine learning may be used over time to better predict needs for certain tasks or to better predict the effects of wear and tear and other degradation.

SYSTEMS AND METHODS FOR QUALITY MONITORING OF PALLETS

Resumen de: US2025190925A1

Exemplary embodiments are disclosed of systems and methods for quality monitoring of pallets of goods (e.g., fresh seafood, other perishable goods, nonperishable goods, etc.) in a cargo.

SUPPLY CHAIN NETWORK CREATION APPARATUS, SUPPLY CHAIN NETWORK CREATION METHOD AND PROGRAM

Resumen de: US2025190905A1

Provided are a supply chain network creation apparatus, a supply chain network creation method, and a program that, when creating a supply chain network for a target item, can extract companies further upstream and is less likely to include companies that are not related to the item. A supply chain network creation apparatus 100, comprising a BOM creation unit 122 that creates a BOM (bill of materials) based on a transaction history 132 including information on an order-placing company, an order-accepting company, and items traded between the order-placing company and the order-accepting company, and a supply chain network creation unit 121 that creates a supply chain network representing a transaction relationship between the order-placing company and the order-accepting company based on the BOM.

VERFAHREN ZUM UMVERTEILEN VON PACKSTÜCKEN IN EINER SORTIERSTATION

Resumen de: DE102023134278A1

Beschrieben uns dargestellt ist ein Verfahren zum Umverteilen von Packstücken (2) in einer Sortierstation (1). Damit die Effizienz von Sortierstationen mit vertretbarem Aufwand weiter gesteigert werden kann, ist vorgesehen, dass die Packstücke (2) in wenigstens einer Transportreihenfolge (4) zum Erfassen jeweils wenigstens eines Sortierparameters nacheinander gemäß der wenigstens einen Transportreihenfolge (4) gescannt werden, dass die gescannten Packstücke (2) in der wenigstens einen Transportreihenfolge (4) in einer Sortiereinrichtung (6) anhand des wenigstens einen Sortierparameters sortiert und in wenigstens zwei parallele Sortierreihenfolgen (10) von Packstücken (2) aufgeteilt werden, dass die Packstücke (2) der parallelen Sortierreihenfolgen (10) nacheinander gemäß den Sortierparametern mit wenigstens einem gemeinsamen Roboter (11) in wenigstens eine Transporteinheit (12) verladen werden, dass eine Steuereinrichtung (6) anhand des wenigstens einen Sortierparameters der Packstücke (2) der wenigstens zwei parallelen Sortierreihenfolgen (10) und, vorzugsweise, anhand wenigstens eines Beladezustands der wenigstens einen Transporteinheit (12), eine optimierte Beladereihenfolge für den wenigstens einen gemeinsamen Roboter (11) ermittelt und dass die Packstücke (2) gemäß der optimierten Beladereihenfolge von dem wenigstens einen gemeinsamen Roboter (11) in die wenigstens eine Transporteinheit (12) verladen werden.

VERARBEITUNGSVORRICHTUNG, HANDHABUNGSSYSTEM, VERARBEITUNGSVERFAHREN UND SPEICHERMEDIUM

Resumen de: DE102024136280A1

Gemäß einer Ausführungsform ist eine Verarbeitungsvorrichtung so konfiguriert, dass sie mit einer Handhabungsvorrichtung kommuniziert, die einen Handhabungsroboter und eine Inspektionseinheit umfasst; der Handhabungsroboter transferiert einen Artikel; und die Inspektionseinheit prüft den transferierten Artikel. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie das Auftreten eines Fehlers der Handhabungsvorrichtung erkennt. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie einen Prozess, in dem der Fehler aufgetreten ist, und eine Ursache für das Auftreten des Fehlers bestimmt. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie eine Änderung der Verwaltungsinformationen des Artikels aufgrund des Fehlers bestimmt, indem sie ein Bestimmungsergebnis des Prozesses und ein Bestimmungsergebnis der Ursache verwendet.

Transportroboter sowie Verfahren und System zum Betreiben eines solchen Transportroboters in einem Warenlager

Resumen de: DE102023134148A1

Die Erfindung betrifft einen Transportroboter (120a), insbesondere Flurförderzeug (120a), der automatisiert, teilautomatisiert und/oder manuell betreibbar ist, um Transportaufträge zum Transport von Waren (140) in einem Warenlager mit einer Vielzahl von Transportrobotern (120a,b) durchzuführen. Der Transportroboter (120a) umfasst eine Kommunikationsschnittstelle, welche ausgebildet ist, ein Umgebungsmodell des Warenlagers und ein Fähigkeitsmodell der Vielzahl von Transportrobotern (120a,b) in dem Warenlager zu empfangen. Das Umgebungsmodell definiert eine Vielzahl von Schlüsselstellen des Warenlagers und für jede Schlüsselstelle wenigstens eine benachbarte Schlüsselstelle. Das Fähigkeitsmodell definiert für jede der Schlüsselstellen des Umgebungsmodells Bewegungsablaufinformationen, insbesondere zumindest eine Trajektorie, für eine automatisierte Bewegung zu der wenigstens einen benachbarten Schlüsselstelle, wobei für jede Schlüsselstelle der Vielzahl von Schlüsselstellen des Umgebungsmodells die Bewegungsablaufinformationen des Fähigkeitsmodells auf wenigstens einer durch Imitationslernen erlernten Bewegung eines manuell betriebenen Transportroboters (120b) der Vielzahl von Transportrobotern (120a,b) zwischen der Schlüsselstelle und der wenigstens einen benachbarten Schlüsselstelle basieren.

Transportroboter sowie Verfahren und System zum Betreiben eines solchen Transportroboters in einem Warenlager

Resumen de: DE102023134149A1

Die Erfindung betrifft einen Transportroboter (120a), welcher automatisiert, teilautomatisiert und/oder manuell betreibbar ist, um Transportaufträge zum Transport von Waren (140) in einem Warenlager mit einer Vielzahl von Transportrobotern (120a,b) durchzuführen. Der Transportroboter (120a) umfasst eine Kommunikationsschnittstelle, welche ausgebildet ist, ein Umgebungsmodell (200) des Warenlagers und ein Fähigkeitsmodell der Vielzahl von Flurförderzeugen (120a,b) in dem Warenlager zu empfangen. Das Umgebungsmodell (200) definiert eine Vielzahl von Schlüsselstellen (210a-c) des Warenlagers und für jede Schlüsselstelle wenigstens eine benachbarte Schlüsselstelle. Das Fähigkeitsmodell definiert für jede der Schlüsselstellen (210a-c) des Umgebungsmodells Bewegungsablaufinformationen (220a-c), insbesondere zumindest eine Trajektorie (220a-c), für eine automatisierte Bewegung zu der wenigstens einen benachbarten Schlüsselstelle. Der Transportroboter (120a) umfasst eine Steuereinheit, welche zur Durchführung eines Transportauftrags von einer Startschlüsselstelle (210a) zu einer Zielschlüsselstelle (210c) der Vielzahl von Schlüsselstellen (210a-c) ausgebildet ist, die Bewegung des Transportroboters (120a) auf der Grundlage des Umgebungsmodells (200) und erster Bewegungsablaufinformationen (220a), insbesondere einer ersten Trajektorie (220a), und wenigstens zweiter Bewegungsablaufinformationen (220b), insbesondere wenigstens einer zweiten Trajektorie (220b), des Fähi

SYSTEMS AND METHODS FOR DETECTING POTENTIAL REMANUFACTURING AND GENERATE GUIDANCE FOR A BIOMEDICAL ENGINEER

Resumen de: WO2025119729A1

In a remanufacturing regulatory compliance method, information is received describing maintenance performed or planned to be performed on a medical device. One or more modified device metrics are estimated for the medical device as modified by the maintenance. The modified device metrics are based at least on the received information describing the maintenance. A determination is made as to whether the maintenance constitutes remanufacturing of the medical device based on comparison of the estimated modified device metrics with a corresponding original equipment manufacturer (OEM) specification for the medical device. In response to a determination that the maintenance constitutes remanufacturing, guidance is output on modifying the maintenance to not constitute remanufacturing or on complying with a regulation governing remanufacturing of medical devices which covers the medical device.

COMPUTER-READABLE RECORDING MEDIUM STORING WORK PLAN PREPARATION PROGRAM, METHOD FOR PREPARING WORK PLAN, AND INFORMATION PROCESSING DEVICE

Resumen de: US2025190911A1

A recording medium stores a program for causing a computer to execute a process including: under a condition regarding articles, columns including article shelves, and aisles provided between the columns, and a moving body that has a placement space moves on the aisles, moves the aisles, and performs a first work of placing first articles on the moving body from the article shelves, and a second work of placing second articles placed on the moving body on the article shelves, executing, on a work plan in which the moving body performs the first work and the second work on the articles, either a first search of searching for the work plan so as to decrease a total moving distance in a direction or a second search of searching for the work plan so as to decrease the total moving distance between the columns, and dividing the work plan into subplans.

SYSTEM AND METHOD FOR ADAPTIVELY IDENTIFYING OPTIMAL MODEL TO SELECT ROUTE TO LOCATION

Resumen de: US2025190931A1

The present disclosure provides a system and a method for adaptively identifying an optimal model to select a route to a location, the method comprising: A method for adaptively identifying an optimal model to select a route to a location, comprising: providing one or more first models based on a routing characteristic associated with the location; retrieving one or more first parameters associated with the routing characteristic to determine an effectiveness of each of the one or more first models in minimizing a route expense parameter; and selecting the optimal model from the one or more first models based on the effectiveness.

METHODS AND SYSTEMS FOR FINANCIAL MANAGEMENT AND RECONCILIATION WITHIN A DENTAL PROJECT MANAGEMENT SYSTEM

Resumen de: US2025190945A1

Methods and systems for providing financial management and reconciliation within the dental project management system are provided. The method includes the dental project management system receiving an invoice associated with a particular dental product project. The method also includes an artificial intelligence (AI) validation module of the dental product management system automatically validating the invoice. Also, the method includes that upon validation of the invoice, the dental product management system requesting feedback from a doctor at a dental office. Further, the method includes the dental product management system receiving feedback from the doctor. Moreover, the method includes training the AI validation module based on the feedback from the doctor.

TECHNOLOGIES FOR USING MACHINE LEARNING TO MANAGE PRODUCT CATALOGS

Resumen de: US2025190942A1

Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

Methods And Systems For Onboarding Electronic Shelf Labels

Nº publicación: US2025191500A1 12/06/2025

Solicitante:

QUALCOMM INCORPORATED [US]
QUALCOMM Incorporated

Resumen de: US2025191500A1

Various aspects include methods for onboarding information in electronic shelf labels (ESLs). In aspects performed by ESLs, such methods may include scanning for a wakeup packet from an access point remote from the ESL before transmitting an ESL advertisement, transmitting the ESL advertisement in response to receiving a wakeup packet that includes information indicating the ESL should transmit the ESL advertisement, and then receiving onboarding messages or a low power mode directive from the access point. In aspects performed by an access point, such methods may include broadcasting a wakeup packet that identifies a select one or more ESLs among the plurality of ESLs to transmit ESL advertisements, receiving one or more ESL advertisements from the identified select one or more advertising ESLs from among the plurality of ESLs, and transmitting an onboarding message to each of the ESLs corresponding to the select one or more ESLs.