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一种异质机器人智能仓储系统及其布局设计优化方法

Publication No.:  CN120806821A 17/10/2025
Applicant: 
浙江工商大学
CN_120806821_PA

Absstract of: CN120806821A

本发明公开了一种异质机器人智能仓储系统及其布局设计优化方法,该方法包括建立Fork‑Join排队网络模型,确定服务时间,计算系统性能指标,进行误差分析,并结合不同的机器人停留点策略、充电区域布局策略以及机器人配置比例,比较并识别出系统运行性能最优的参数组合。所述系统包括运输机器人、桌式平台、拣选机器人、工作站、充电区和执行所述优化方法的控制单元。本发明具有建模精准、适应性强和可决策性高的优点,为智能仓储系统的设计与调度优化提供了理论依据和实践指导。

基于物联网的冷链运输中温度追溯记录系统及其温度记录方法

Publication No.:  CN120800572A 17/10/2025
Applicant: 
深圳市艾克生科技有限责任公司
CN_120800572_PA

Absstract of: CN120800572A

本发明涉及冷链运输技术领域,且公开了基于物联网的冷链运输中温度追溯记录系统及其温度记录方法,所述温度采集模块用于采集冷链运输设备内部的温度数据,数据传输模块用于将温度采集模块获取的温度数据传输至数据存储与管理模块;数据分析与预警模块用于对温度数据进行分析并在温度异常时发出预警;温度追溯模块用于实现对冷链运输过程中温度数据的追溯,该基于物联网的冷链运输中温度追溯记录系统其温度记录方法,提高温度监测准确性:通过高精度温度传感器和分段线性校准公式,大幅提高了温度测量的准确性;多传感器空间网格分布采集和改进的数据分析模型,能全面准确反映冷链运输设备内的温度场情况和变化趋势。

跨境电商智能仓储物流优化调度方法及系统

Publication No.:  CN120806498A 17/10/2025
Applicant: 
深圳智汇创想科技有限责任公司
CN_120806498_PA

Absstract of: CN120806498A

本发明涉及机器学习技术领域,揭露了一种跨境电商智能仓储物流优化调度方法及系统,包括:构建仓储库的多维度动态数据池;分析历史订单数据对应订单商品的客户价值、商品紧缺度以及时效紧迫度,确定订单商品的动态优先级标签;构建仓储库的三维数字孪生模型对三维数字孪生模型进行状态智能映射,得到状态映射孪生模型;建立仓储库的多目标混合整数规划模型,利用多目标混合整数规划模型输出仓储库的仓储物流优化参数,分析仓储物流优化参数下的异常节点,以分析异常节点的实时风险值对仓储物流优化参数进行调整,得到目标仓储物流优化参数,基于目标仓储物流优化参数执行仓储库的仓储物流优化调度。本发明可以提高跨境电商仓储物流的运营效率。

一种基于AI的供应链调度方法及系统

Publication No.:  CN120806576A 17/10/2025
Applicant: 
浪潮智慧供应链科技(山东)有限公司
CN_120806576_A

Absstract of: CN120806576A

本发明涉及供应链调度技术领域,公开了一种基于AI的供应链调度方法及系统,包括获取供应链的订单、资源、物流拓扑数据和历史履约数据;利用图神经网络生成交付不确定性嵌入向量;根据交付不确定性嵌入向量确定非对称梯形函数的中心时刻和斜率以及高斯函数的均值和方差,为各目的地节点的调度任务构建模糊时间窗;获取强化学习模型,输出调度目标函数中成本项、时间项和鲁棒性项的权重组合;根据权重组合确定调度目标函数,对调度目标函数进行求解;遗传算法的交叉操作为关键子图交换,通过识别并交换两个父代调度方案的关键路径子图实现。本发明不仅能够准确刻画复杂履约风险分布,而且能适应实时变化,同时还减少了计算量。

装配任务执行过程中的物料监控方法、装置、设备及介质

Publication No.:  CN120806806A 17/10/2025
Applicant: 
上海飞机制造有限公司
CN_120806806_PA

Absstract of: CN120806806A

本发明公开了一种装配任务执行过程中的物料监控方法、装置、设备及介质。该方法包括:预先构建与飞机装配任务匹配的物料数据库;装配任务执行过程中,实时采集预先配置的至少一项数据源的数据,实时更新物料数据库中的物料管理信息;通过人机交互界面监控展示整个装配流程下物料数据库中实时更新的数据,并在满足预设的报警规则时报警;通过预设的计算规则实时计算各物料的物资需求计划;并在满足预设的门限条件时提示用户。通过根据飞机装配的不同工位需求选择相应物料规则构成物料数据库和展示装配过程及相应设备的状态参数信息以及报警信息,实现飞机装配物料管理的自动化,增强对装配问题的快速响应能力,提高装配效率和装配质量。

客户运单拉直方法、装置、计算机设备及存储介质

Publication No.:  CN120806803A 17/10/2025
Applicant: 
深圳市跨越新科技有限公司
CN_120806803_PA

Absstract of: CN120806803A

本申请涉及物流信息处理技术领域,提供一种客户运单拉直方法、装置、计算机设备及存储介质,方法通过对所述客户运单数据按寄件公司与寄件点部维度,获取待拉直运单数据;在待拉直运单数据中排除分拨流经次数小于或等于1的运单数据,获取每个所述待拉直运单数据对应的归属分拨信息;根据多个所述归属分拨信息生成分货配置货物流向表;在分货配置货物流向表中提取客户类型为寄件公司或付款公司且经重大于或等于预设重量的待拉直运单数据,获取对应的未拉直货量信息和应拉直货量信息;根据所述待拉直运单数据、未拉直货量信息和应拉直货量信息生成分析结果信息,完成对客户运单数据的拉直。适用于物流运输网络中的运输线路优化与分拨资源配置。

跨境整车业务的ETA计算方法、装置、设备及介质

Publication No.:  CN120806782A 17/10/2025
Applicant: 
深圳市跨越新科技有限公司
CN_120806782_PA

Absstract of: CN120806782A

本申请涉及跨境物流运输管理技术领域,提供一种跨境整车业务的ETA计算方法、装置、设备及介质,方法通过获取实时交通数据和海关通关时间预测数据,用于计算拥堵延时和通关延时;基于获取的实时交通数据和海关通关时间预测数据计算基础运输时间,并加上拥堵延时和通关延时,生成初始路径运输时间;获取司机历史驾驶数据,基于所述历史驾驶数据构建个性化修正系数库,根据个性化修正系数库对初始路径运输时间进行修正,得到修正后运输时间;获取多维参数数据,将所述多维参数输入到基于历史运输数据训练的智能时效预判模型中,生成初始ETA;在运输过程中实时获取节点上报数据和交通拥堵数据,对初始ETA进行动态修正,输出最终的修正ETA。

一种任务生成方法、装置、设备、存储介质及计算机程序产品

Publication No.:  CN120806458A 17/10/2025
Applicant: 
北京京东远升科技有限公司
CN_120806458_PA

Absstract of: CN120806458A

本申请公开了一种任务生成方法,该方法包括:获取流拣选订单对应的仓内订单数据;其中,所述仓内订单数据包括当前时刻之前获取到的还未出仓的订单信息;对所述仓内订单数据进行统计分析,得到一个或多个独立组单;其中,一个所述独立组单对应一种物品;对每一所述独立组单进行拣货任务分配,得到每一所述独立组单对应的流拣选任务。本申请还公开一种任务生成装置、设备、存储介质及计算机程序产品。

一种考虑客户点动态需求的公交辅助无人机协同配送方法

Publication No.:  CN120806761A 17/10/2025
Applicant: 
南京航空航天大学
CN_120806761_PA

Absstract of: CN120806761A

本发明公开了一种考虑客户点动态需求的公交辅助无人机协同配送方法,引入服务范围覆盖较大的公交车辅助无人机进行快递配送,旨在降低末端物流配送成本并提高配送的及时性。本发明包括:结合实际场景,构建模拟动态客户需求且考虑时间窗的生成模型,基于该生成模型中客户点产生机制和公交车无人机协同运行机制建立考虑客户点动态需求的公交辅助无人机协同配送优化模型;针对所建立的模型,设计一种基于公交车发车时间的动态信息处理策略并将其融入自适应大邻域搜索框架进行求解,得到适用于求解考虑客户点动态需求的公交辅助无人机协同配送问题的启发式算法。本发明能够根据随时产生的需求点动态规划配送路径,提高物流递送效率并降低配送成本。

一种中欧班列运输资源均衡调配方法

Publication No.:  CN120806442A 17/10/2025
Applicant: 
大连交通大学
CN_120806442_PA

Absstract of: CN120806442A

本申请属于跨境铁路货物运输技术领域,尤其涉及一种中欧班列运输资源均衡调配方法,包括:获取规划期内中欧贸易冷鲜货物、普通货物、特种货物的货流需求,并为每个货流匹配不同种类、数量的集装箱;获取中欧班列通道上各车站间的基本运行图和相对应的运行线使用成本、不同车底与集装箱的使用成本、集装箱的晚到惩罚与甩箱惩罚、各车站的最低满载率;构建运行线选择、车底运用、货流分配、集装箱调配、决策变量范围的约束模型;建立运营成本和服务质量的双重目标函数;利用ε约束法、线性化技术与CPLEX求解器求解双重目标函数,得到货运方案。该方法可以得到涵盖货流‑箱流‑车流‑列流的货运方案,能够缓解车站因运输资源不足导致的等待问题。

一种林木业产业链多模态数据智能处理方法及系统

Publication No.:  CN120806238A 17/10/2025
Applicant: 
广西科学院
CN_120806238_PA

Absstract of: CN120806238A

本发明提供了一种林木业产业链多模态数据智能处理方法及系统,涉及数据处理技术领域。本发明在育苗、种植、抚育、采伐、运输、加工、仓储和销售各环节布设采集节点,获取影像、传感器及文本三类原始数据;通过统一时间校正、空间坐标转换、异常剔除、缺失插补和归一化,形成时空对齐的影像特征、传感器特征和文本特征集合;进一步采用统一编码机制将三类特征映射至同一特征空间,并结合时空图建模与林学本体库构建知识图谱,得到多模态融合特征表示。本发明为林业全生命周期数字化管理提供高一致性、可扩展的数据基础。

用于农村地区客货邮融合的多目标优化方法、介质及设备

Publication No.:  CN120806224A 17/10/2025
Applicant: 
江西电信信息产业有限公司
CN_120806224_PA

Absstract of: CN120806224A

本发明公开了用于农村地区客货邮融合的多目标优化方法、介质及设备,其中方法包括:S1、基于城乡客运车辆运营的约束条件,构建城乡客运车辆运营的多目标优化模型;S2、获取城乡客运车辆运营的参数并输入至多目标优化模型;S3、确定并编码运营优化过程中所涉及的决策变量的取值;S4、利用多目标遗传算法寻找最优解集;S5、基于最优解集调整城乡客运车辆运营方案并发车。本发构建客货邮融合下城乡客运车辆运营多目标优化模型,满足各方主体利益的车辆运营问题的最优决策,有效解决农村地区客货邮运力与运量的不匹配不均衡问题。

一种基于深度学习的智慧物流调度系统及方法

Publication No.:  CN120806478A 17/10/2025
Applicant: 
安徽顺得物流有限公司
CN_120806478_PA

Absstract of: CN120806478A

本发明公开了一种基于深度学习的智慧物流调度系统及方法,包括如下步骤:S1、采集物流数据,并进行预处理;S2、构建物流任务图;S3、构建分层调度结构,设定高层策略网络与低层策略网络;S4、根据任务分配方案,构建多智能体映射关系;S5、对物流任务子图执行策略优化,输出所有运输车辆的具体调度动作;S6、更新各车辆的实时状态,并计算当前调度轮次中的任务完成状态与资源使用占比;S7、将数据对比结果作为训练反馈,更新高层策略网络与低层策略网络的策略参数,并进入下一轮调度决策。本发明能够实现大规模物流任务的智能划分、精准匹配与动态调度,显著提升调度效率与资源利用率。

一种基于模数化设计的装配式低层建筑体系及建造方法

Publication No.:  CN120805242A 17/10/2025
Applicant: 
汉尔姆建筑科技有限公司
CN_120805242_PA

Absstract of: CN120805242A

一种基于模数化设计的装配式低层建筑体系,包括设计模块、供应模块和建设模块,其特征在于,所述设计模块采用600mm基础模数对建筑主体、建筑材料、建筑节点进行设置,建筑主体、建筑材料、建筑节点均与600mm基础模数形成倍数关系;所述设计模块基于600mm基础模数生成整体建筑方案并生成物料清单,供应模块基于物料清单生成生产订单并提供物流计划,建设模块根据整体建筑方案进行现场装配;与现有技术相比,通过设计模块、供应模块和建设模块的设计,实现了建筑设计、结构设计、生产流程及现在组装的联动,实现高效、环保和低成本的低层建筑工业化建造路径。

MACHINE LEARNED MODEL FOR DETERMINING SEGMENTING OPTIONS TO FULFILL BULK ORDERS

Publication No.:  US2025322444A1 16/10/2025
Applicant: 
MAPLEBEAR INC [US]
Maplebear Inc

Absstract of: US2025322444A1

An online concierge system (“the system”) determines that a shopping list from a user client device includes a request for a quantity of an item that exceeds a quantity that can be fulfilled using a single retailer. Responsive to the determination, the system retrieves model inputs based in part on the request. The system determines segmenting options, for fulfilling the request using multiple sources, and their associated costs using a machine learned model and the model inputs. The segmenting options include different combinations of pickers and sources that can be used to fulfill the request. The system provides one or more of the segmenting options and their associated costs to the user client device. Responsive to receiving, from the user client device, a segmenting option of the one or more segmenting options, the system fulfills the request in accordance with the segmenting option.

METHODS AND SYSTEMS FOR IDENTIFYING FLEET ERRORS

Publication No.:  WO2025216829A1 16/10/2025
Applicant: 
CATERPILLAR INC [US]
CATERPILLAR INC
WO_2025216829_PA

Absstract of: WO2025216829A1

A technique is directed to methods and systems for detecting and correcting errors and abnormalities in assembling fleet lists within one or more platforms (200). A fleet management system can analyze asset information, such as last known position, history of device attachments, or joins between devices/datasets, to detect and correct errors and abnormalities in the assembling fleet lists (204). The fleet management system can use rules as filter types for recursive evaluation of telemetry errors and abnormalities arising from a source or a sensor (206). The errors or abnormalities are identified in the asset information when the asset information exceeds a rule (208).

SYSTEM AND METHOD FOR INTEGRATING INTERMEDIARY AND END-USER ONLINE RETAIL EXPERIENCES

Publication No.:  US2025322350A1 16/10/2025
Applicant: 
FORGATCH GREGORY [US]
FORGATCH LORRAINE [US]
PRESTON KAREN [US]
WENZLAU GRANT [US]
Forgatch Gregory,
Forgatch Lorraine,
Preston Karen,
Wenzlau Grant
US_2024311752_PA

Absstract of: US2025322350A1

A network connected system for inventory management is disclosed including an intermediary module, including providing sales and inventory management functions for intermediaries such as wholesalers and retailers and an end-user module, including providing sales to end-users using an end-user identifier which is associated with a wholesaler or retailer.

MACHINE LEARNED MODEL FOR SELECTING ACTIONS FOR FULFILLING ORDER WITH OUT-OF-STOCK ITEMS

Publication No.:  US2025322441A1 16/10/2025
Applicant: 
MAPLEBEAR INC [US]
Maplebear Inc

Absstract of: US2025322441A1

An online system for determining quality improvement actions responsive to an item being unavailable at source location after an order was placed. The system receives an indication from a picker client device that a requested item from an order to be fulfilled at a source location is unavailable at the source location. The system retrieves model inputs based in part on the indication. The model inputs may include availability information for the requested item at least one other source location, a foundational item status of the requested item, and a tenure of the user. The system determines a quality improvement action for the requested item using a machine learned model (an order quality model) and the model inputs. The system performs the determined quality improvement action.

SYSTEMS AND METHODS FOR ANALYZING AND LABELING IMAGES IN A RETAIL FACILITY

Publication No.:  US2025322354A1 16/10/2025
Applicant: 
WALMART APOLLO LLC [US]
Walmart Apollo, LLC
WO_2024163229_A1

Absstract of: US2025322354A1

In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects including a memory and a control circuit executing a trained machine learning model. The memory may be configured to store a plurality of images comprising first images and second images. The control circuit may be configured to: allocate each of the first images into one of a plurality of datasets; cluster each image in the dataset into one of a plurality of groups; select a sample from at least one of the plurality of groups; cluster each of the second images into one of dominant product identifier group and a non-dominant product identifier group; select a sample from the dominant product identifier group and a sample from the non-dominant product identifier group; and output the selected sample.

INFORMATION PROCESSING APPARATUS, CONTROL METHOD, AND PROGRAM

Publication No.:  US2025322353A1 16/10/2025
Applicant: 
NEC CORP [JP]
NEC Corporation
US_2023394430_PA

Absstract of: US2025322353A1

An information processing apparatus (2000) includes a product recognition unit (2020), a shelf label recognition unit (2040), and a determination unit (2060). The product recognition unit (2020) recognizes the number of types of products or positions of each type of products from a target image. The shelf label recognition unit (2040) recognizes the number or positions of shelf labels indicating information of the products from the target image. The determination unit (2060) determines whether or not there is an error in a relationship between the recognized number of types of products and the recognized number of shelf labels or in a relationship between the recognized positions of each type of products and the recognized positions of the shelf labels.

IDENTIFYING ACTIVE CODE SECTIONS VIA MEMORY FORENSICS

Publication No.:  US2025322355A1 16/10/2025
Applicant: 
KODEM SECURITY LTD [IL]
Kodem Security Ltd

Absstract of: US2025322355A1

A system of determining a software bill-of-materials (RBOM) of an operating environment, the system comprising a processing circuitry configured to: a) access a memory space of a first process executing in the operating environment; b) for one or more threads of the first process: read contents of one or more memory location of a thread stack associated with the respective thread, determine whether a contained value of a respective memory location is a code section execution address, and responsive to the contained value of the respective memory location of the thread stack being a code section execution address: i) determine, based on the memory space of the first process and/or an executable file associated with the first process, a code section identifier associated with the code section, and ii) add the code section identifier associated with the code section to the RBOM.

METHOD FOR TRACKING AND UPDATING PRODUCT DATA FOR SLOTS IN INVENTORY STRUCTURES WITHIN A STORE

Publication No.:  US2025322352A1 16/10/2025
Applicant: 
SIMBE ROBOTICS INC [US]
Simbe Robotics, Inc

Absstract of: US2025322352A1

One variation of a method includes: accessing an image of an inventory structure captured by a robotic system while navigating through a store; detecting a slot in the inventory structure in the image; based on features extracted from the image, identifying a set of product units of a first product type occupying the slot; accessing a target product type assigned to the slot by a store representation; based on features extracted from the image, identifying an electronic shelf label depicted in the image, corresponding to the slot, and advertising the target product type; and, in response to the first product type differing from the target product type assigned to the slot, accessing a set of product data corresponding to the first product type from a product database, and, transmitting the set of product data to the electronic shelf label for rendering within an electronic display of the electronic shelf label.

IDENTIFYING ACTIVE CODE SECTIONS VIA MEMORY FORENSICS

Publication No.:  US2025322356A1 16/10/2025
Applicant: 
KODEM SECURITY LTD [IL]
Kodem Security Ltd

Absstract of: US2025322356A1

A system of determining a software runtime bill-of-materials (RBOM) of an operating environment, the system comprising a processing circuitry configured to: a) identify a first software process executing in the operating environment; b) determine, from data or metadata of a file associated with the first software process, a software framework of the first software process; c) for each of one or more runnable files located in the operating environment and associated with the identified software framework: determine, from metadata associated with the runnable file, a respective time of most recent access of the runnable file, and responsive to the respective time of most recent access of the runnable file being later than a start time of the first software process: adding a respective file path of the runnable file to the RBOM.

Identifying Active Code Sections via Memory Forensics

Publication No.:  US2025321861A1 16/10/2025
Applicant: 
KODEM SECURITY LTD [IL]
Kodem Security Ltd

Absstract of: US2025321861A1

A system of identifying an executed code section of a software process, comprising a processing circuitry (PC) configured to: a) access a memory space of a first process executing in an operating environment; b) identify, from contents of the memory space, a software framework of the first process; c) find, in the memory space, based on the identified software framework, a first code section description structure; d) identify, from the first code section description structure, a code section execution indicator (CSEI) associated with a first code section; and e) determine, based on a value of the associated CSEI, whether the first code section has been executed.

COMMUNICATION METHOD AND APPARATUS

Nº publicación: US2025324264A1 16/10/2025

Applicant:

HUAWEI TECH CO LTD [CN]
HUAWEI TECHNOLOGIES CO., LTD

KR_20250123197_PA

Absstract of: US2025324264A1

A communication method and apparatus are provided. The method is: A first network element sends a first request to an access network device to request to obtain identifiers of one or more terminal devices. The first network element may receive a first identifier from a first terminal device, and obtain a second identifier of the first terminal device based on the first identifier. The first identifier is an identifier that is assigned by the first network element or a second network element to the first terminal device and that corresponds to the second identifier or is an identifier that is preconfigured in the first terminal device and that corresponds to the second identifier. According to the method, the first terminal device may perform inventory by using the shorter first identifier, thereby improving efficiency and a speed of inventory.

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