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一种面向供应链的智能订单管理方法及系统

Resumen de: CN120494927A

本申请涉及订单管理的技术领域，公开一种面向供应链的智能订单管理方法，包括：通过订单需求流、生产设备状态、物流传感器动态信息及库存拓扑图谱获取对应多模态数据；基于时空图卷积网络分析订单与设备关联性，生成产能分配方案；计算物流路径规划方案，预测库存缺货风险并生成补货建议；若存在高优先级订单，插入产能计划并调整设备工序链；若出现资源冲突，动态分配资源；若路径风险值超过阈值，触发备用路径切换；通过自适应联邦算法调整加权参数，生成全局策略并下发至客户端；客户端动态调整本地配置，实时上传执行效果数据；若检测到异常，触发全局策略重生成并通过联邦学习增量更新模型。本申请能够实现供应链订单的高效管理。

一种物流现场安全巡检智能检查系统、方法和装置

Resumen de: CN120494532A

本发明提供了一种物流现场安全巡检智能检查系统、方法和装置，涉及物流现场安全巡检技术领域，系统主要包括：数据采集模块、数据处理模块及结果生成模块；所述数据采集模块包括路况图像单元、GPS导航单元、三维模型单元、IMU惯性单元及传感器单元；所述数据处理模块，包括货物倾覆风险评估单元及弯路通过性风险评估单元。本方案可以对物流现场安全问题进行智能检查及预警，尤其适合对大件货物运输过程中货物倾覆风险、弯路通行风险、超高风险、超重风险等进行提前预警，从而有效规避重大安全事故的发生。

Verfahren und Vorrichtung zum Bearbeiten und Sortieren von Sendungen

Resumen de: DE102024103980A1

Offenbart wird u.a. ein Verfahren umfassend: Bestimmen, für jede Sendung aus einer Anzahl von Sendungen, eines jeweiligen Sortierziels aus einer Anzahl von Sortierzielen; Zuweisen, zu jeder der Sendungen aus der Anzahl von Sendungen, einer jeweiligen, sortierzielspezifischen Eingangsnummer; wobei das Verfahren für zumindest ein Sortierziel der Anzahl von Sortierzielen ferner umfasst: Einordnen derjenigen Sendungen, für die das Sortierziel bestimmt wurde, in das Sortierziel basierend auf den diesen Sendungen zugewiesenen sortierzielspezifischen Eingangsnummern; und Bestimmen einer Zustellreihenfolge für die in das Sortierziel eingeordneten Sendungen basierend auf einer Sendungsinformation und Ausgeben einer entsprechend der Zustellreihenfolge der in das Sortierziel eingeordneten Sendungen sortierten Abfolge der diesen Sendungen zugewiesenen Eingangsnummern; oder Ausgeben, zu jeder derjenigen Sendungen, für die das Sortierziel bestimmt wurde, der jeweiligen, zugewiesenen Eingangsnummer und einer jeweiligen Sendungsinformation, wobei basierend auf den Sendungsinformationen der Sendungen eine Zustellreihenfolge für diese Sendungen bestimmt werden kann. Ein zugehöriges zweites Verfahren wird ebenfalls offenbart, das Verfahren umfassend: Erfassen, durch eine Zustellentität, oder Ausgeben, an eine Zustellentität, der Eingangsnummern in der sortierten Abfolge, wobei eine Anzahl von Sendungen nach den Eingangsnummern sortiert ist und eine Zustellentität basierend auf einer E

Cardiopulmonary resuscitation kit demand prediction model through big data analysis and production prediction and marketing system including the same

Resumen de: KR20250122897A

본 발명은 빅데이터 분석을 통한 심폐소생술 키트 수요 예측 모델 및 이를 포함하는 생산량 예측 및 마켓팅 시스템에 대한 것으로서, 구체적으로는 빅데이터 분석을 바탕으로 심폐소생술 키트 및 교육을 필요로 하는 잠재적인 고객을 발굴하고, 심폐소생술 키트 수요 시기와 수량을 예측하여 이를 생산량 최적화로 연결할 수 있는 빅데이터 분석을 통한 심폐소생술 키트 수요 예측 모델 및 이를 포함하는 생산량 예측 및 마켓팅 시스템에 대한 것이다.

SYSTEMS AND METHODS FOR COMPOUNDING PHARMACY

Resumen de: WO2025171007A1

A system and method are provided for automating preparation of compound prescription at workstations having a user interface and a quantity input hardware, based on forecasted quantities, ordered quantities and simultaneous usage data. The method may include obtaining orders for compound prescriptions, via web clients, tracking information related to inventories, generating compounding tasks corresponding to the orders by analyzing ingredients necessary', prioritizing and assigning the compounding tasks to workstations, based on forecast demand, available supply, capacity, and the inventories, providing graphical user interfaces for users to process the orders at the workstations. In response to detecting a user of processing an order, the method may also include updating the inventories, updating the compounding tasks, and/or providing an update on the graphical user interfaces regarding a next compounding task performable at the workstation.

PRODUCT IDENTIFICATION AND LOCATION NOTIFICATION BASED ON USER PRODUCT SPECIFICATION

Resumen de: WO2025170624A1

Methods and systems are provided for associating respective ones of a plurality of beacons with respective ones of a plurality of products; receiving a product specification from a user; identifying a product of the plurality of products corresponding to the product specification; and notifying the user of the location of a respective beacon of the plurality of beacons associated with the identified product.

SYSTEMS AND METHODS FOR MONITORING AN ELECTRIC VEHICLE CHARGER

Resumen de: US2025256613A1

A system including a detection unit and a processor is disclosed. The detection unit may be configured to measure a level of nonconforming movement associated with the system. The processor may be configured to determine a system installation state from a plurality of system installation states, and identify an optimal movement threshold, from a plurality of movement thresholds associated with the plurality of system installation states, based on the system installation state. The system may further determine that the level of nonconforming movement may be greater than the optimal movement threshold, and perform a predefined action responsive to determining that the level of nonconforming movement may be greater than the optimal movement threshold.

Object Identification Using Surface Optical Artifacts

Resumen de: US2025259328A1

A method of object identification includes: capturing an image of an object having a material presenting surface artifacts; detecting a boundary within the captured image; selecting a portion of the image depicting the surface material within the boundary; based on the selected portion of the image, determining attributes of the surface artifacts; generating, based on the determined attributes of the surface artifacts, a physical identifier corresponding to the object; and storing the generated physical identifier.

SYSTEMS AND METHODS OF WINDOWING TIME SERIES DATA FOR PATTERN DETECTION

Resumen de: US2025259109A1

A data analysis computer system is provided that receives a timeseries dataset and generates implied data from the dataset. The dataset is further vectorized to reduce the dimensionality of the data. Users provide input to identify windows of data that either positively or negatively correlate to instances of a given type of occurrence within the data. The user defined windows are converted to fixed sized windows and a machine learning algorithm constructs a model from the data. The model is used to predict instances of the given type of occurrence in newly received data. Validation of the predications may be performed.

MACHINE LEARNING TECHNOLOGIES TO ACCURATELY MATCH SHIPMENTS WITH SPECIFIC VEHICLES

Resumen de: US2025259039A1

Systems and methods for employing machine learning techniques to match equipment identifications are provided. According to certain aspects, a server analyzes, using a trained machine learning model, a customer-provided equipment ID to determine a possible equipment ID match. The server determines that the possible equipment ID match is aligned with an equipment ID expected by a carrier entity. The server retrieves tracking information for that equipment via a tracking device installed in the equipment, and tracks the corresponding shipment accordingly.

RFID READ ZONE MAPPING, TESTING, AND MONITORING USING A SILENT RFID TAG

Resumen de: US2025259025A1

A communication device includes a central processing unit (CPU); a non-transitory memory; and an RFID application stored on the non-transitory memory and comprising executable instructions that when executed by the CPU, cause the communication device to be configured to provide the communication device in an environment; receive a radio frequency (RF) signal from an RFID reader at a plurality of locations in the industrial environment, wherein the RF signal comprises a frequency in the cellular frequency range; determine a receive signal strength (RSS) of the RF signal at each of the plurality of locations; determine the RSS of the RF signal at each of the plurality of locations; and generate a map of an RFID read zone in the industrial environment based on the RSS of the RF signal at the plurality of locations.

DYNAMIC WHOLE-STORE PATH GENERATION WITH LOCATION PRIORITIZATION FOR RETAIL STORE LOCATIONS

Resumen de: US2025259228A1

In some implementations, a method performed by data processing apparatuses includes receiving a request from a client device indicative of multiple items and a current location of the client device, identifying one or more locations within the retail store corresponding to each item based on inventory data, selecting a best location of the one or more locations for each item based on a priority associated with each location of the one or more locations, determining a route that starts at the current location of the client device and includes the best location for each respective item of the plurality of items, and transmitting the route to the client device.

Software Product Optimization Identification Through Natural Language Processing

Resumen de: US2025259188A1

Software product optimization is provided. Expressed sentiment in a set of opted in user-to-user business-related conversations among a group of users corresponding to an entity is associated with a software product in response to determining that the software product is identified by mentioned keywords in the set of opted in user-to-user business-related conversations based on a keyword corpus. It is determined whether the expressed sentiment associated with the software product is negative sentiment. A related software product listed in a software product catalog of the entity is identified as an optimization to the software product in response to determining that the expressed sentiment associated with the software product is negative sentiment. A recommendation to implement the related software product as the optimization to the software product is generated. The recommendation to implement the related software product as the optimization to the software product is sent to the group of users.

SYSTEMS AND METHODS FOR SUPPLY CHAIN MODELING AND PREDICTION

Resumen de: US2025259139A1

Systems and methods for supply chain network modeling and performance prediction are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a query associated with a supply chain network; representing the supply chain network as at least one graph based on historical transactions in the supply chain network; obtaining at least one machine learning model that is trained based on graph data related to nodes and edges in the at least one graph; generating, using the at least one machine learning model, supply chain prediction data based on the query; and transmitting the supply chain prediction data to the computing device.

INTRALOGISTICS SYSTEM FOR MONITORING LOCATION-SPECIFIC INTRALOGISTICAL ACTIONS

Resumen de: US2025259135A1

The disclosure refers to an intralogistics system (10) for monitoring predetermined location-specific action being uniquely associated with one location (68) of a plurality of different locations (68) in the intralogistics system (10) and being uniquely associated with a movable system entity (16), which is to perform the action, wherein the intralogistics system (10) comprises: a control (12) communicating an order (64) being uniquely associated with the action to the movable system entity (16) and being configured for: maintenance (26) of a system component (70) of a plurality of system components (70); material-flow control (30); and/or picking guidance (32); a reading device (24), which the movable system entity (16) carries along and which is connected, for data exchange, to the control (12); and a projector (14) configured to project location-specific codes (34), on command from the control (12), onto several ones of the locations (68) within the intralogistics systems (10); wherein the control (12) is further configured to verify performance of the action based on the order (64) and a received confirmation signal, which is generated by the reading device (24) and transmitted to the control (12) as soon as the reading device (24) has read one of the location-specifically projected codes (34).

A VEHICLE LOADING EVENT CONFIRMATION SYSTEM AND A COMPUTER-IMPLEMENTED METHOD

Resumen de: US2025259134A1

A vehicle loading event confirmation system comprising processing circuitry configured to determine that a vehicle has come to a standstill, receive from a camera associated with the vehicle, a captured image of an identification code, wherein the identification code is associated with a predefined loading event at which the vehicle is planned to become loaded or unloaded, receive from a sensor of the vehicle, event data indicative of an actual change in weight carried or pulled by the vehicle at the loading event, and transmit said identification code and vehicle data including said event data to an off-board server located remotely from the vehicle so as to allow the off-board server to provide information which enables a requester to determine whether or not the actual change in weight matches the expected change in weight.

SYSTEMS, METHODS, AND GRAPHICAL USER INTERFACES FOR SECURE EXECUTION OF ANALYTICAL TASKS USING NATURAL LANGUAGE

Resumen de: US2025259117A1

A computer-implemented method includes receiving a natural language input including a natural language request for executing an analytical task and processing the natural language input by a language model, where the processing may include translating the natural language input to an analytical function call for calling an analytical function of a set of distinct analytical functions of an analytics computing server. Additionally, the computer-implemented method includes calling the analytical function at the analytics computing server using the analytical function call, receiving a technical output in response to calling the analytical function, and outputting a response to the natural language input that includes the technical analytical output.

SYSTEMS, METHODS, AND GRAPHICAL USER INTERFACES FOR SECURE EXECUTION OF ANALYTICAL TASKS USING NATURAL LANGUAGE

Resumen de: US2025259118A1

A computer-implemented method includes receiving a natural language input including a natural language request for executing an analytical task and processing the natural language input by a language model, where the processing may include translating the natural language input to an analytical function call for calling an analytical function of a set of distinct analytical functions of an analytics computing server. Additionally, the computer-implemented method includes calling the analytical function at the analytics computing server using the analytical function call, receiving a technical output in response to calling the analytical function, and outputting a response to the natural language input that includes the technical analytical output.

System and Method of Action-Based Navigation Visualization for Supply Chain Planners and Specially-Abled Users

Resumen de: US2025258552A1

A system and method are disclosed for predicting recommendations for a user interface. The method includes generating a graphical user interface that receives an input from a user of a client portal, crawling tasks associated with the user in the client portal, ranking the tasks according to an intent associated with the input from the user, fetching at least one task from the ranked tasks, calculating a quantity of steps to complete the task from the ranked tasks; identifying one or more slots used by the task in at least one step from the quantity of steps, and generating one or more recommendations comprising a subsequent action for the user to complete the task.

MONITORING OF TOOL CALIBRATION STATUS IN AUTOMATED TOOL CONTROL SYSTEMS

Resumen de: US2025258050A1

A calibration monitoring system is provided to automatically monitor the calibration status of tools and other inventory items, such as upon the items being issued from or returned to the automated calibration monitoring system. The system identifies an inventory item, for example a calibrated torque wrench or other calibrated tool identified based on a unique identifying tag attached thereto. The system retrieves a calibration parameter value for the item from a calibration database, and completes a calibration measurement of the item based on the calibration parameter value. In the example, a torque measurement of the calibrated torque wrench can thus be automatically completed. In turn, the system determines a current calibration status of the item based on the calibration measurement, and selectively enables or disables issuance of the inventory item from the system according to the item's status as being in calibration or out of calibration.

METHOD FOR MODELING CONTAINER INTERNAL WEATHER FROM METEOROLOGICAL DATA

Resumen de: US2025258317A1

A method for estimating status of a container. The method comprising obtaining, by a processor, shipping information of the container; extracting, by the processor, weather information received from one or more databases from one or more locations corresponding to a location and time interval of the shipping information of the container; executing, by the processor, pre-processing on the weather information for an input to a feature generator to output intermediate features; and using, by the processor, the intermediate features to predict container temperature and container relative humidity, wherein the weather information is periodically resampled in response to updates to the shipping information of the container.

REFRIGERATOR APPLIANCE AND ASSEMBLY FOR CODE READING

Resumen de: US2025257936A1

A refrigerator appliance is provided, including a cabinet forming a refrigeration compartment, a freezer compartment, or both. A door is attached to the cabinet, the door configured to selectively allow entry to the refrigeration compartment, the freezer compartment, or both. A dispenser assembly is positioned at the door, the dispenser assembly including a recess extending into the door. The dispenser assembly is configured to egress a fluid, ice, or both, toward the recess. A scanner assembly includes a scanner device. The scanner assembly is positioned behind an external wall of the dispenser assembly.

METHOD AND APPARATUS FOR PROVIDING A REAL-TIME ESTIMATED TIME OF ARRIVAL SCORECARD BASED ON REAL-TIME CLASSIFICATION OF LOCATION TRACE DATA

Resumen de: US2025258003A1

An approach is provided for contextualized determination of estimated times of arrival (ETAs) for trips. The approach involves, for example, computing an original ETA for a vehicle on a route that is subject to required events. The original ETA is computed based on pre-trip predicted events determined based on an initial set of assumptions and the required events. The approach also involves monitoring real-time location trace data of the vehicle during a monitoring period to determine actual events of the vehicle and/or driver. The approach further involves generating a real-time ETA scorecard comparing the actual events to the required events, pre-trip predicted events, and/or prior events determined for previous monitoring periods. The approach further involves determining predicted events for subsequent monitoring periods based on the real-time ETA scorecard, and determining an updated ETA based on the predicted events.

BAGGAGE AUTO-REFLIGHTING

Resumen de: US2025259138A1

An item handling system for moving an item between an origin and a destination according to a first scheduled route which departs the origin at a first predetermined departure time is provided. The item handling system can determine whether the item has missed the first predetermined departure time of the first scheduled route; determine the destination for the item; determine a new, second, scheduled route between the origin and the determined destination wherein the second scheduled route departs the origin at a second predetermined time which is different from the first predetermined time; and process the item according to the second scheduled route. A method for moving an item between an origin and a destination according to a first scheduled route which departs the origin at a first predetermined departure time and a mobile device and user-accessible device for communicating with the item handling system are also provided.

통신 방법 및 장치

Nº publicación: KR20250123197A 14/08/2025

Solicitante:

후아웨이테크놀러지컴퍼니리미티드

Resumen de: WO2024139729A1

A communication method and an apparatus, the method comprising: a first network element sends a first request to an access network device so as to request acquiring an identifier of one or more terminal devices; and the first network element may receive a first identifier from a first terminal device, and, according to the first identifier, acquire a second identifier of the first terminal device, the first terminal device being a terminal device among the one or more terminal devices. The first identifier is an identifier corresponding to the second identifier and allocated to the first terminal device by the first network element or the second network element, or is an identifier corresponding to the second identifier and pre-configured in the first terminal device. The second identifier is the unique identifier of the first terminal device, the length of the second identifier being greater than the length of the first identifier. The first identifier is an identifier of the first terminal device within the service range of a sixth network element, the sixth network element being a network element that provides services for the first terminal device. By means of the method, the first terminal device may use a shorter first identifier to perform inventory, thereby improving the inventory efficiency and speed.