Next-generation cloud monitoring protects corporate data monitoring

With the rapid popularization of the industrial Internet of Things, on the one hand, many traditional data monitoring problems are solved. Its real-time, automation, embedded (software), security, and interoperability of information and other features, eased the pressure on the traditional monitoring, while saving the company a large expenditure. However, on the other hand, how to protect the continuity and stability of equipment operations in the production process has also brought unprecedented challenges to companies in monitoring and management. Especially when the complexity of equipment and personnel management is increasing day by day, and companies are considering how to finally realize the new stage of upgrading the traditional industry to intelligence, thus handing over equipment monitoring to the IoT platform to minimize equipment failures. The occurrence of this will also reduce the major losses to the company's revenue.

Therefore, this trend has also promoted more and more companies to focus on the Internet of Things cloud platform, in order to promote the core competitiveness of its own data monitoring. However, in the traditional monitoring system, the monitoring objects are often relatively simple, and in the entire monitoring system, multiple monitoring systems may exist for different monitoring objects, and there is no unified management. When a failure occurs, it cannot be quickly and accurately positioned. problem lies in.

In addition, traditional monitoring mostly uses manual operations, so when equipment failures and monitoring data errors exceed a certain scale, it is not only a nightmare for workers, but also increases the cost of enterprise equipment management and operation and maintenance. Brought a lot of pressure. The most important point is that traditional monitoring data and equipment management systems are usually separated. Therefore, pen management including system upgrades, fault inquiries, and equipment expansion cannot rely on monitoring data as a reference.

Under the monitoring of equipment data, companies need to use a completely different approach to monitor the equipment, so as to clearly know how the equipment is operating in production, whether it is stable, and how to achieve timely detection and early warning of problems, in a very short time Reduce the time and scope of production impact.

As a leading company in the field of data monitoring and management of the domestic Internet of Things, in September this year, Tuopu Rui demonstrated for the first time the innovative application of “cloud monitoring technology” in the fields of equipment management and enterprise operation and maintenance “Internet of Things Logger + Cloud Platform”. Through a comprehensive solution that can provide in-depth analysis of operating conditions through Tuopu Rui, it not only has integrated equipment monitoring capabilities, but also does not need to configure, out of the box, quickly get started, simply scan the Internet of Things recorder machine With the two-dimensional code, companies can connect monitoring data to the Internet of Things platform and keep abreast of equipment operations. And in the event of a failure, through the SMS / WeChat alarm, quickly and accurately find out the location of the equipment failure and the reason and depth information associated with it.

Specifically, cloud monitoring is a low-cost data cloud monitoring solution (cloudwatch) that is specially developed for companies by Topline. Cloud monitoring enhances the management of employees and equipment through the Internet of Things technology, and realizes the networked data collection. And storage security. Enterprises only need to invest in hardware costs, can achieve the management of the Internet of things, to minimize business costs. Provide permanent quality services: pre-network construction, use training, problem consultation, solution, post-maintenance, upgrade, etc.; also can strengthen enterprise hardware management, data management and improve work efficiency.