技术
- 网络安全和隐私 - 入侵检测
- 传感器 - 电表
适用行业
- 水泥
- 建筑与基础设施
适用功能
- 维护
- 质量保证
用例
- 智慧城市供水管理
- 水务管理
服务
- 无人机运营服务
- 测试与认证
关于客户
La Société Wallonne des Eaux (SWDE) 是一家地区性水务公司,在比利时各地拥有并维护一系列水塔。该组织是瓦隆地区主要的饮用水生产商,为近 250 万人提供 1,317 个水箱和水塔。 SWDE 的总体目标是随着该地区人口和经济的增长,为个人和企业提供可靠的用水渠道。 SWDE 使用的一些结构非常古老,因此这些结构的数据不再准确,或者在某些情况下根本不可用。为了改进和简化所有 SWDE 基础设施的管理,SWDE 需要一个数据库来提高有关公司资产的信息的可访问性和准确性。
挑战
比利时地区水务公司 La Société Wallonne des Eaux (SWDE) 在维护老化的水塔方面面临着重大挑战。有些结构非常古老,其数据要么不准确,要么无法获得。位于 Juprelle 的 SWDE 塔建于 1981 年,年久失修,需要维修。塔楼的混凝土结构导致内墙凝结,随着时间的推移导致明显的退化,包括爆裂、裂缝和建筑物砖块的分离。传统的手动测量方法,例如地面摄影或使用电梯将工人提升到储罐上,效率低且不完整。 SWDE 尝试使用无人机来调查损坏情况,但无人机镜头仍然需要人工解释,这存在很大的错误风险。小裂缝很容易被忽视,这可能导致长期恶化并损害供水网络的可靠性和安全性。
解决方案
为了应对这些挑战,SWDE 与 Bentley Systems 合作开发了自动裂纹检测技术。他们在 MicroStation 中创建了水塔结构的 3D 平面图,然后使用 Pointools 清理该平面图并将其导出为 ContextCapture 中的模型。 Bentley 开发人员与 SWDE 合作完善了用于自动裂纹检测的人工智能 (AI) 功能。 3D 可视化使他们能够清楚地看到所有角度并实时精确地分析裂缝。该软件可以自动识别小至 0.1 毫米的裂缝并预测其进一步发展。一种算法量化了每个裂缝的长度、宽度和深度,并根据它们的大小和痕迹图案对它们进行分类。这些统计数据有助于分析水塔的整体状况。 SWDE 在受损的水塔上测试了该模块,通过无人机勘测捕获 3,000 张图像,并使用 ContextCapture 创建水塔的实景网格。然后,人工智能功能被用来扫描现实网格并检测裂缝。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.
Case Study
Bridge monitoring in Hamburg Port
Kattwyk Bridge is used for both rail and road transport, and it has played an important role in the Port of Hamburg since 1973. However, the increasing pressure from traffic requires a monitoring solution. The goal of the project is to assess in real-time the bridge's status and dynamic responses to traffic and lift processes.
Case Study
Bellas Landscaping
Leading landscaping firm serving central Illinois streamlines operations with Samsara’s real-time fleet tracking solution: • 30+ vehicle fleet includes International Terrastar dump trucks and flatbeds, medium- and light-duty pickups from Ford and Chevrolet. Winter fleet includes of snow plows and salters.