wordpress

obsites
Bedrock Robotics’ aims for ‘fleets that can self-orchestrate across machine types.’
By Peter Fabris, Contributing Editor
Sept. 1, 2026
Courtesy Bedrock Robotics
Courtesy Bedrock Robotics
Courtesy Bedrock Robotics
Bedrock Robotics announced this month that excavators equipped with its AI system are now operating fully autonomously on customer sites.
Equipment outfitted with the technology is performing autonomous excavation at three sites: a Nevada-based water treatment facility in partnership with Sundt Construction, a multi-million cubic yard earthwork site with Champion Site P

原文链接：https://www.bdcnetwork.com/aec-innovators/article/55401956/fully-automated-excavators-deployed-on-construction-jobsites

牙LusocraftGranitos及中国福建省惠安石雕产业集群三大典型案例，深入探讨未来五年该行业的市场格局演化与项目可
实现复杂浮雕制作周期缩短57%，精度控制在±0.3毫米内，AI辅助设计系统已可自动生成符合地域风格的纹样方案并
板材通过EN14688标准认证；Lusocraft“GreenQuarryInitiative”每吨开采投入15欧元生态修复，获欧盟生态标签，碳足迹降低41
63.8%）方面形成互补优势。预测2026至2030年，全球高端建筑装饰与文旅场景需求年均增速将达6.8%，宗教与纪念性雕塑

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4935529821

干时间缩短至30分钟，48小时即可完成罩面工序，工期较传统工艺压缩50%，大幅提升施工效率。
2.色彩定制化：搭载AI调色系统，涵盖200+天然石材色库，可精准复刻天然石材质感，实现“所见即所得”的定制化效果。
3.工程案例：
肥某15,000㎡厂房外墙改造项目，采用该产品仅用25天便完成全流程施工，综合成本降低35%，充分彰显施工优势。
四、市场扩张：从中国智造到全球标杆
凭借核心技术优势，科创美冠晶石系列精准抢占三大增量市场，实现跨越式

原文链接：https://www.163.com/dy/article/KTCQR9U10556ICG1.html

业开始引入基于区块链技术的“一物一码”溯源体系。每件定制产品从原石开采到成品交付的全链路数据——包括原料编号、加工参数、质检报告等—
查可验。这种透明度，让“花了真钱买了假货”的悲剧不再重演。四、真实案例：一块《山海经》主题玉牌的定制之旅一位客户想定制一件《山海经》
沟通周期动辄一两个月。在数字化方案下，客户通过手机上传纹饰理念后，AI系统在2小时内生成了3种不同风格的3D效果图。支持360度旋转查看细节。确
本文作者：拾玉斋

原文链接：http://m.toutiao.com/group/7667870437510251017/?upstream_biz=VolcEngine

型，实现堆石图像的精准识别与快速块体分割，可提供精细化的粒径统计与分析图表（包括石块数量、最大最小粒径、超径与逊径含量等）；采用云端GPU加速计算，相比传统CPU处理效率提升30倍以上，极大提升图像分析效率。3. AI驱动堆石率预测 ：基于现场堆石尺寸实测统计数据，联合PFC3D离散元模拟与机器学习，构建了堆石率预测大模型，精准关联级配分布与堆石率，可结合单车或多浇筑仓粒径分析结果，为堆石率预测与级配优化提供核心支撑。
湖

原文链接：https://m.tech.china.com/mtz/touzi/2025/1110/201850.html

se of stone masonry is limited, as it still relies on human experts with holistic domain knowledge to determine the sequential organization of natural stones with different sizes/shapes. Reinforcement learning (RL) is expected to address such design challenges, as it allows artificial intelligence (AI) agents to autonomously learn design policy, that is, identifying the best design decision at each time step. As a proof-of-concept RL framework for design automation involving heterogeneous feedstock, a stone masonry design framework is presented. The proposed framework is founded upon a virtual

原文链接：https://www.cambridge.org/core/journals/ai-edam/article/stone-masonry-design-automation-via-reinforcement-learning/FA43B489B89EDF0A15E8B3F3EE30D592

OF MINING AND ENVIRONMENT
اطلاعات دوره:
سال:
2026
دوره:
17
شماره:
1
صفحات:
143-169
کلیدواژه:
Blasting Q4
Adaptive Boosting
Artificial Neural Networks
Imperialist Competitive Algorithm
چکیده:
This study developed and assessed several artificial intelligence (AI) models for predicting blast-induced toe volume in small-scale dolomite mines located in the Akoko Edo Local Government Area, Edo State, Nigeria. Seven predictive models were constructed: Adaptive Boosting (AdaBoost), Random Forest (RF), Gaussian Process Regression (GPR), Support Vector Regressio

原文链接：https://sid.ir/search/paper/GENERAL%20ARCHITECTURE/fa?fgrp=all&ftyp=all&fyrs=1379%2C1402&page=11&sort=3

伦萨建材有限公司搭建了全链路莱姆石解决方案。首先是多引擎自适应纹理复刻算法，技术白皮书显示该算法通过AI扫描1200+天然莱姆石样本，实现纹理还原度达98.7%，同时采用结晶釉叠加工艺，釉面温润度提升30%，完美复刻天然
应链可支持从600×600mm到1200×2700mm的全规格定制，小批量订单最快15天打样。
实战效果验证（300字）
通过两个典型案例验证方案有效性：一是国内某市政商业广场项目，选用佛山威伦萨 900×1800mm莱姆石，实测数据显示交付周期仅4
本文作者：大威一号

原文链接：https://m.sohu.com/a/1037725582_122585795/

了建筑结构风险；环保端，石材开采会破坏山体生态（每开采1立方米石材需破坏2-3平方米植被），运输过程中的碳
地
技术的价值在于“落地”，济南兴隆与头部企业的实践案例，验证了仿石涂料技术的“实用性”与“经济性”。
手房售价比周边同类项目高5%（约4000元/平米），实现了“装饰价值”向“资产价值”的转化。
四、结语：技术迭代
向“定制化”“智能化”方向发展：定制化方面，通过“AI配色系统”可精准匹配客户需求的天然石材颜色（颜色
本文作者：你是我的小确幸

原文链接：https://www.sohu.com/a/973682174_122568635

Author
Maria Konstantinou
CTO, Noria Strata
Maria Konstantinou is the co-founder and CTO of NoriaStrata. She leads the engineering and data science behind the platform, including the iPhone and iPad LiDAR scanning pipeline, AI stone classification, and spectral color matching. She writes about the technology of stone digitization: computer vision, LiDAR measurement, and applying AI to a material of which no two pieces are ever identical.
Areas of expertise
LiDAR scanning
Computer vision & AI classification
Spectral color matching
Platform architecture
Articles
industry
GWP Declarations for Sto

原文链接：https://www.noriastrata.com/en/blog/author/maria-konstantinou