为什么工业要紧跟数据化维护的潮流？
为什么需要数字化运营？（*why urge?）
现今工业为了提高操作灵活性和提高生产力，器械维护开始逐渐走向数字化。这也将会是未来的趋势之一。为了在激烈的市场中获得竞争优势并存活下来，企业在维护方面应当紧跟数字化潮流。那些依旧使用传统维护方式的企业将极其容易面临的以下问题：
- 整个运营维护过程的周期过长
- 高昂的运营成本
- 相对高风险的工作环境
- 器械以及相关设备的使用寿命短
- 工作安排不灵活等
- 大量的纸质工作
运营维护策略的改革升级: 从传统被动式维护模式转变为具有计划性的维护（*way to Planned Maintenance Strategy）
维护策略在逐渐的改革升级。其从以往的被动性维护转变成具有计划性的主动性维护（即：具有预防设备甚至可预测可能发生的损坏情况）。在传统的维护方式中，突发性的紧急状况时常发生，对此企业会对无法继续使用的机器、设备等进行故障检修（此为被动性维护）。这些情况都会给企业带来巨大的不便和经济损失。现如今，因为周期性的检测维护可以确保设备在整个运营过程中能正常的运作，所以具有计划性的维护策略被企业广泛地接受和运用。在大数据的支持下，潜在的设备损坏风险可以被提前预测出来。据调查，预测性运营维护将会是未来的趋势之一。
被动性维护/ 故障检修维护 （*reactive）
- 突发事件：在故障发生后迅速将故障的机器和设备恢复到可正常运作的状态
- 发生故障：当相对严重或非常严重的故障发生后以致设备无法使用而考虑维修
预防性维护 （*preventive）
- 运行维护：在设备运行过程中执行的维护措施
- 日常保养：周期性重复的维护措施
- 机会维护： 在突发机会存在并可执行维护措施
- 间隙维护：有计划地利用轮番生产或更换工艺装备等生产活动所形成的生产空隙进行设 备维修
- 预防当机： 在生产线完全当机前进行维修维护
预测性维护 (*predictive)
- 基于统计：通过历史数据建模并预测接下来有可能会发生的故障
- 基于状态 (定期维护)：持续性或周期性地监控设备来探测故障信号
KANiO - Smart Maintenance Solution
Survey
*It is designed for generating general information about current digitalization maintenance of industry which takes 3-5 minutes to finish. The collected data will not be forwarded to a third party.
数字化运营维护可以帮助企业达到什么目标？（*goal）
- 减少设备中断工作时间或当机时间
- 提高环境和操作的安全性
- 使设备高效工作
- 增加设备的使用寿命
- 保证生产符合指定的质量标准
- 使机器在较长时间里保持较高的价值
- 可通过流畅的运营过程来减少总体的运营成本
How can your industrial operation benefit from digital maintenance?
- User friendly operation
- Different options available for e.g. for channels, sewage treatment plants, water, gas, electricity, industry
- Knowledge by professionals
- Modular, scalable, open, clearly layout
- High standard functionality
- Adjustable to customer needs
- Use in different sizes
- Standardized interfaces to process control, shop floor or commercial systems
- Industry based tool as an perfect complement to third party systems like SAP
- Raise quality while saving time and money
In which fields can a digital maintenance tool be applied?
- Maintenance organizations and industrial companies
- Property, building, and facility management (e.g. CAFM)
- Operation and maintenance of manufacturing, electronics, metal, energy, transport, construction, networks, and other infrastructure facilities
- Workforce management, warehouse management, document management etc..
Industrial application cases of digital maintenance software KANiO:
Test peirodically with software, equipment, component, or upon engineering analysis of probable failure rate for industrial equipment.
See Examples:
- Initial / Functional Test / Frequent / Periodic Crane Inspection
- Portable Appliance Testing (PAT) / Electrical Equipment Testing / Electrical Safety Testing
- Elevator Diagnostic Test to determine if components should be replaced
- etc.
Integrate all maintenance activities to keep operating systems up-to-date in order to guarantee the initial condition alive.
See Examples:
- Add lubricant daily to guarantee gear rotate without a hitch before running machine
- Calibrate weighing scale before measuring packet
- Schedule aircraft components to be replaced by maintenance teams before they wear out
- Control parameter on equipment in operation with measuring tools integrated to the equipment
- etc.
All activities used to repair and replace equipment or facility after getting out-of-order.
See Examples:
- Replace a new light bulb at a convenient time after a plan for fixing a broken bulb is carried out
- Contact maintenance department or maintenance provider once an equipment or a machine is run out of order
- Repair refrigerant after realizing it leaks
- etc.
Besides maintenance, KANiO can be implemented under other managerial purposes.
See Examples:
- Check periodically if a welding engineering has qualified license to weld
- Arrange working schedule of staffs
- List medical instruction
- Schedule holiday
- Arrange people to go to seminar with educational purpose
- Check remotely if all facilities stay in the intended locations (integrate with process control system e.g. SCADA for condition monitoring, video cam for surveillance)
- etc.