How to view traditional manufacturing industry the impact of the Internet of things?

Manufacturing companies tend to own and run a lot of industrial equipment, all these devices need to monitor and maintain. For existing deployment, industrial iot make decisions based on more accurate data in manufacturing process improvement is possible. It can also be used to improve the quality of production and normal operation of the time, because the equipment and sensors to collect data from the Internet can realize the real-time and predictive maintenance of production equipment. Industrial iot is the main idea behind the machine in the decision making more intelligent and more efficient than a human. It depends on the accurate, consistent, capture and transmit data. Xinli technology for many years engaged in industrial iot wireless sensor at the core of the products, in the data capture and transmission technology mature, developed a series of gateway, measurement and control, sensing device, used in various manufacturing, and efficient production decision basis for partners. In big data, machine learning, the system can be trained to spot potential model, the model will be given instructions for the future failure. If the result is, they can immediately investigated. The information used to take several weeks to find, and depend on each technical availability of skilled professionals. Now, use the real-time data can help those with the right skills in multiple locations to monitor more machines, thus make maintenance decision faster. In turn, can greatly accelerate manufacturing efficiency. In addition to the predictive maintenance, machine learning has greatly improved performance in the industry. To do this, companies need to know all of the available data, to quantify the data, and according to the received information about how to make the manufacturing process of in-depth insights. Machine learning can be used to demonstrate how to improve performance, and at the same level of investment to provide faster results. In the manufacturing industry, time is money. With the implementation of the strategy of industrial iot, from a separate sensor to the analysis of the available and automation, manufacturers can revolve around the overall efficiency and cost to make better business decisions. Industrial iot strategy on sustainable and green production practice and the supply chain traceability aspect also has great potential. As the 'circular economy' in the enterprise applications, from products to packaging of all elements should be repeated use, and recycling in the entire value chain, the implementation of the Internet of things industry is very important to the tracking result. 制造企业通常拥有和操作大量的工业设备,所有这些需要监视和维护。 对于现有的部署,工业物联网可以改善决策 在生产过程基于更精确的数据。 它也可以被用来提高生产质量和正常运行时间,从设备和传感器收集的数据在网络上实现真正的- 时间和预测性维护生产设备。 工业物联网背后的主要思想是使机器比人类更聪明和高效决策。 这取决于准确和一致的捕获和传输的数据。 新利技术从事无线传感器是工业物联网的核心产品很多年了。 它开发了一系列的网关,测量和控制,传感器设备和应用各种制造业。 它带来了高收入 效率生产决策, 让合作伙伴的基础。 在大数据的支持下,机器学习,系统可以被训练来发现潜在的模式表明未来的失败。 如果结果是相关的,他们可以立即进行调查。 星期才发现这些信息的可用性取决于每个熟练的专业。 现在,使用真实的- 时间数据可以帮助那些有正确的技能监控多台机器在多个地点,维护决策更快。 反过来,生产效率可以大大加速。 除了预测维修,机器学习也提高了工业方面的性能。 要做到这一点,公司需要了解所有可用的数据,量化数据,并提供在- 深度洞察如何最好地进行生产过程根据收到的信息。 机器学习可以用来演示如何提高性能并提供更快的结果在同一水平的投资。 在制造业中,时间就是金钱。 与工业物联网的实现策略,从单个传感器来提供分析和自动化,制造商可以做出更好的业务决策总体效率和成本。 工业物联网战略可持续和绿色生产实践也有巨大的潜力和供应链可追溯性。 与应用程序的“ 循环经济” 在企业中,所有元素从产品包装应该重用和回收的整个价值链。 工业物联网的实现( 物联网) 对其跟踪结果至关重要。