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Sensirion goes from 12 incidents annually to near zero with LogicMonitor
技术
- 平台即服务 (PaaS) - 连接平台
适用功能
- 离散制造
- 质量保证
用例
- 预测性维护
- 工厂可见化与智能化
服务
- 系统集成
- 云规划/设计/实施服务
挑战
Sensirion 是一家领先的高质量传感器和传感器解决方案制造商，由于数字化速度飞快，该公司面临着监控来自多个不同来源的信息的挑战。该公司的基础设施遍布多个站点，客户遍布全球多个时区，因此统一 Sensirion 的监控功能是一项复杂的任务。该公司使用的是静态旧产品，没有自动发现和依赖性识别功能。Sensirion 需要一个能够通过自动化和内置逻辑帮助解决这些问题的企业 IT 平台。
关于客户
Sensirion 是一家领先的高质量传感器和传感器解决方案制造商，用于测量和控制湿度以及气体和液体流量。该公司总部位于瑞士萨法，成立于 1998 年。Sensirion 为美国、韩国、日本、中国、台湾、荷兰和德国的客户提供服务。该公司拥有 1000 多名员工，业务遍布跨国。Sensirion 的产品广泛应用于汽车、医疗、暖通空调和消费品等各个领域。
解决方案
Sensirion 选择 LogicMonitor 平台作为其解决方案。LogicMonitor 提供自动化、简单性和全面覆盖，且不复杂。该平台能够将 Sensirion 的八种监控工具整合为一个，从而大大释放资源、整合核心功能并简化操作。LogicMonitor 还大大提高了基础设施的整体可用性，避免了数十小时的故障排除时间。该平台的自动发现系统和自动监控功能可以发现许多问题，例如设备配置错误。LogicMonitor 还使连接到云变得更容易，从而可以更快地进行技术引入。
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
