基于AI的智能仓储管理系统开发与实施案例

基于AI与ML技术的电厂物资仓储管理系统的应用研究

随着电力行业的快速发展,物资管理面临着越来越复杂的挑战.传统的物资仓储管理模式已难以满足高效,精准的需求.基于人工智能(AI)与机器学习(ML)技术的电厂物资仓储管理系统,致力于通过数据驱动的决策支持,实现智能化管理.本文探讨了电厂物资仓储管理系统如何通过AI与ML算法,进行物资需求预测,库存优化及动态调度,显著提高仓储管理的效率和物资利用率,并对基于AI与ML技术的电厂物资仓储管理系统实例进行了分析.本文旨在提高仓储管理的响应速度,准确性和成本效益,为电厂的可持续发展提供了有力支持,并为相关领域的技术应用和管理模式创新提供了参考与借鉴.

基于AI智能调度技术的数字化仓储及物流管理系统

本发明公开了基于AI智能调度技术的数字化仓储及物流管理系统,具体涉及数字化仓储管理技术领域,包括:采集数字化仓储中的物料信息和实际物流效率和实际物料能耗;基于机器学习搭建理论能耗预测模型和理论效率预测模型,将物流执行指令输入训练好的理论能耗预测模型和理论效率预测模型中,输出理论效率和理论能耗;根据物料的理论效率和理论能耗构建物料的物料位置适应度函数,以物料位置适应度最高为目标,通过优化算法输出每个物料类型的更新位置坐标,当所有物料处于更新位置坐标时,得到物料位置适应度最大值;基于更新位置坐标对物料位置进行优化,解决现有技术中物料堆放位置不合理导致资源浪费的问题.

催化共振荧光法测定环境水样中铬(Ⅵ)

目的:建立Cr(Ⅵ)的快速、灵敏的催化共振荧光法测定新方法。方法:基于硫酸介质中,Cr(Ⅵ)能催化碘酸钾氧化罗丹明110(Rh110)的反应,导致体系的共振荧光强度急剧减弱,在一定条件下,共振荧光强度减小值与溶液中Cr(Ⅵ)浓度成线性,据此建立了一种催化共振荧光法测定Cr(Ⅵ)的新方法。结果:方法的线性范围为0.02~0.40μg/ml,检出限3.20μg/L,相对标准偏差为1.68%~2.14%(n=11),样品加标回收率90.0%~95.0%。结论:方法灵敏度高、精密度好,用于环境水样中痕量Cr(Ⅵ)的测定,结果满意。

调控一体化模式下防调度误操作措施研究

调控一体化模式下,基于EMS系统及OMS系统的线路,主变的程序化操作逐渐成为调度停送电操作的新常态,人为及设备原因导致误调度的风险增大.本文梳理了调度误操作常见的风险点,并基于人工防误,管理防误,系统防误3个层面提出行之有效的防误措施,以此形成杜绝调度误操作的长效机制,全面提升调度安全水平.

A new section of Kaili Formation (Cambrian) and a biostratigraphic study of the boundary interval across the undefined Cambrian Series 2 and Series 3 at Jianshan, Jianhe County,China with a discussion of global correlation based on the first appearance datum of Oryctocephalus indicus(Reed,1910)

A trilobite biostratigraphic study of a new section of the Kaili Formation at Jianshan,Chuandong Village,Jianhe County,Guizhou is reported.Additional occurrences of key species associated with the Ovatoryctocara granulata-Bathynotus holopygus Zone and the overlying Oryctocephalus indicus Zone that were originally defined from the trilobite assemblages at the Wuliu-Zengjiayan section of the Kaili are reported from this new section.The first appearance datum (FAD) of Oryctocephalus indicus occurs at the 44.52 m above the base of the unit.Based on study of abundant specimens (n = 800) from the Kaili Formation,we argue that Oryctocephalus indicus is a widespread taxon with a global distribution.O.Reticulatus (Lermontova,1940) from the middle part of the Kounamkites Zone of the Amganian Stage in the Molodo River region of Siberia and O.Americanus (Sundberg and McCollum,2003) from Nevada,North America are similar to representatives of O.Indicus which occur in the O.Indicus Zone of the Kaili Formation.O.Reticulatus and O.Americanus are here synonymized with O.Indicus (Reed,1910).This study strengthens the Wuliu-Zengjiayan section of the Kaili Formation as a candidate section for a Global Stratotype for the base of the unnamed Cambrian Series 3.

Automated 3D Building Modeling Based on Urban Aerial Stereopair

Urban 3D building modeling is one of key technology of virtual city. In this paper, an approach to tackle the problem of 3D building modeling from urban high-resolution aerial image is presented. Automatic 2D building detection technique and 3D height extraction technique has been applied to the test image (stereopair) completely. Then combination between them is carried out, using the result of pyramidal stereo matching and the linear elements from 2D detection, the matching information from the matched point is assigned to the point of the linear element which corresponds to the matched point, so 3D modeling of building is achieved. In addition, more accurate 3D height information is obtained by applying new control strategies to prevent blunder propagation in pyramidal matching which based on the modified Adaptive Least Square Correlation algorithm