曹敏举了一个例子，过去审计人员依赖皮尺结合CAD图纸（CAD施工图，是表示通过AutoCAD软 件将工程项目总体布局，建筑物的外部形状、内部布置、材料作法以及设备、施工等制作的图样）进行 人工测绘，因操作误差会导致不同小组对同一地块的测量结果差异显著，面积偏差可达数亩甚至十几 亩。 日前，定安县翰林镇，海南农垦母瑞山农场公司千亩土地综合整治项目现场，伴随着螺旋桨转动的 嗡嗡声，一台无人机缓缓升空，如同空中"战士"在项目上空来回穿梭。 "管好项目土地，有了它像是有了'千里眼'，地况、植被都看得一清二楚。"海南省农垦建工集团有 限公司旗下海南远大工程造价咨询公司（以下简称远大公司）相关负责人曹敏介绍，过去一段时间以 来，海南垦区项目的土地监测对人力的依赖性极强。垦区土地面积大，地域广，土地情况复杂，仅依靠 人工监测存在着人力成本高、监测范围窄等局限。如今科技加持，质效双升。 海南日报全媒体记者 邓钰 "比如说，千亩土地的巡航测绘任务仅需3小时，若要依赖人工，得花费近一周时间。"曹敏说，卫 星遥感、无人机和人工智能等数字化的手段不断拓展，智能管地"家族"不断壮大，土地用途检测有 了"云"赋能，让传统农业审计步入新阶 ...

来源：新华网 新华网北京6月10日电（记者阳娜）在近日召开的2025低空技术与工程大会上，北京理工大学和中国电 子学会共同发布《低空技术产业创新场景清单》，涵盖工业场景低空智能化应用、低空旅游、文化遗产 数字化保护与展示、海洋综合治理与污染处置等十四大场景，用技术突破地理边界，以创新重构产业生 态。 根据《低空技术产业创新场景清单》，在低空旅游场景中，突破传统观光视角，低空飞行器构建立体沉 浸式旅游场景；在雪场应急救援场景中，在雪山峻岭间，无人机突破地形封锁；在载人空中交通场景 中，垂直起降飞行器与智能空域系统协同打造城市群点对点低空通勤网络；在文化遗产数字化保护与展 示场景中，三维激光与数字孪生技术构建文化遗产数字档案，实现毫米级建模与虚拟修复；在交通设施 巡查与应急响应场景中，立体化监测体系覆盖公路、桥梁、隧道，实现设施健康评估与灾害快速响应； 在生态环境监测与修复保护场景中，空天地协同守护绿水青山。 北京理工大学和中国电子学会还共同发布了《低空技术与工程发展报告》，解析低空技术与工程如何构 建空天地一体化创新生态，开辟"第二发展空间"。 中国电子学会副理事长樊邦奎表示，低空经济作为一种新型经济形态，依托 ...

Investment Rating - The report maintains a "Buy" rating for the company [4] Core Views - The company achieved a robust revenue growth of 21.62% year-on-year in 2024, with total revenue reaching 971 million yuan and a net profit attributable to shareholders of 51 million yuan, reflecting a 23.60% increase [1][2] - The company's strategic focus on "AI + Industry" has led to significant advancements in artificial intelligence applications across various sectors, including power, water conservancy, and rail transportation [2] - The water conservancy and rail transportation sectors have emerged as new growth drivers, with revenue from water conservancy increasing by 47.81% and rail transportation revenue soaring by 484.79% in 2024 [2] Financial Summary - In 2024, the company reported total revenue of 971 million yuan, a year-on-year increase of 21.62%, with segment growth as follows: power (+9.79%), rail transportation (+484.79%), and water conservancy (+47.81%) [1] - The net profit attributable to shareholders for 2024 was 51 million yuan, up 23.60% from the previous year [1] - The gross profit margin for 2024 was 31.77%, a decrease of 3.12 percentage points year-on-year [1] - For Q1 2025, the company reported revenue of 137 million yuan, a 26.54% increase year-on-year, but a net loss of 11 million yuan due to the seasonal nature of revenue recognition [1] Profit Forecast - The profit forecasts for the company have been adjusted to 81 million yuan, 124 million yuan, and 183 million yuan for the years 2025, 2026, and 2027, respectively [2]

Core Viewpoint - The company, Zhiyang Innovation Technology Co., Ltd., has released its 2024 annual report summary, highlighting its financial performance, profit distribution plans, and business operations in the artificial intelligence sector [1][4]. Group 1: Financial Performance - The company plans to distribute a cash dividend of 5.00 yuan (including tax) for every 10 shares, totaling approximately 77.07 million yuan, which represents 150.12% of the net profit attributable to shareholders for the 2024 fiscal year [4]. - The total cash dividend for the year, including distributions from the first three quarters, amounts to approximately 92.48 million yuan, with a total of 112.51 million yuan allocated for cash dividends and share buybacks, accounting for 219.16% of the net profit attributable to shareholders [5]. - The company intends to increase its share capital by 4.9 shares for every 10 shares held, resulting in an increase of approximately 75.53 million shares, bringing the total share capital to about 229.66 million shares [5][6]. Group 2: Business Overview - Zhiyang Innovation is focused on aiding the digital and intelligent transformation of industries through artificial intelligence, big data analysis, IoT technology, and digital twin technology [8][9]. - The company has developed six foundational technology platforms, including an AI platform and a digital twin platform, which facilitate the integration of AI solutions across various sectors such as electricity, water conservancy, rail transportation, and renewable energy [9][10]. - The company has successfully established a mature business model in the electricity sector and is expanding its AI solutions to other industries, reflecting a growing demand for AI products [8][10].