After decades of development, the scale, output and capacity of China's petrochemical industry have been greatly improved. However, at present, China's petrochemical industry is still large but neither strong nor superior. Intelligent manufacturing is the only way to promote the development of China's petrochemical industry in the direction of high-efficiency and green development and realize the transformation from big to strong. With the emergence of new information sensing equipment and the widespread use of the Internet, the industrial Internet has become an inevitable trend in the development of informatization in the oil and gas industry. The integration of new technologies such as the IoT, big data, and intelligent analysis puts forward higher requirements for the production data collection capabilities, computing capabilities, storage capabilities, resource expansion capabilities, and edge device management capabilities of the oil and gas industry.
At present, there are a large number of IoT terminal equipment, acquisition equipment, IT information equipment in the oil and gas industry, which are widely distributed. In terms of equipment access, equipment inspection, equipment configuration, upgrade and update and alarm processing, there is a lack of unified information management method, and operation and maintenance are difficult with high cost. It is necessary to implement cloud-edge collaborative management methods for oilfield IoT terminal equipment through the introduction of IoT technology, improve and optimize the security, efficiency and scalability of IoT data storage and management, so as to accelerate and support the digital transformation and upgrading of production.
At present, a large number of production and operation data in the oil and gas industry are deposited on the edge side, and real-time data is not realized at the overall level of the oilfield. A large amount of production data is not processed and consumed in a timely manner, and cannot provide value to the production business. Through the real-time edge processing of production data by the IoT technology, the cloud-edge real-time data channel is opened, and the data analysis and business application systems are quickly connected to maximize the value of data.
Due to the dispersed geographical distribution of oil plant and operation areas, for the production data access and storage under the traditional way, it is impossible to achieve unified monitoring and management. EMQ provides real-time data collection, real-time processing, real-time reporting to the cloud, and cloud mass data aggregation capabilities for various industrial equipment and IoT equipment such as oil fields, joint stations and petroleum engineering sites, which can help oil and gas enterprises realize real-time data monitoring and management of the plant area with a corporate-level platform.
After the traditional system has stored real-time data at the plant level, it has not been further processed, resulting in a continuous increase in storage usage, which has brought problems and hidden dangers to production and operation and maintenance. The cloud-side multi-layer rule engine and stream data processing capabilities based on EMQ provides the capability of cleaning, filtering and data streaming for real-time data, and transfers effective data to the business layer, so as to reduce the pressure of business application data processing and save the cost of platform R&D and operation and maintenance.
A large amount of historical data is collected, but there is no unified management, storage, and application, and data compliance is poor. EMQ provides cloud-edge collaborative management capabilities and realizes unified management of edge devices in the cloud. On the one hand, it reduces the cost of operation and maintenance of control devices and storage devices at the edge. On the other hand, the value of edge data can be deeply mined to provide stronger support for the business.
Support various industrial protocol for device data collection, and use various wired and wireless networks to upload real-time data to the cloud
Provide concurrent access to millions of industrial data collection points and data forwarding capabilities with millisecond delays on the cloud
Provide an open data interface to provide data support for application expansion and business innovation
Provide cloud-edge collaborative edge device unified management capabilities to provide support for remote operation and maintenance and remote management of oilfield equipment
EMQ helped a well-known oilfield information construction company in China to realize a unified platform architecture with light front-end and heavy back-end, and reduce operation and maintenance costs.Learn More →