In 2019, for the first time, China explicitly regarded data as a new factor of production, raising the importance of data to the same level as labor, capital, land, knowledge, technology, and management. In the following years, the country gradually established a data ecology and promoted data governance through legislative and organizational adjustments, laying the foundation for the use of data to promote the development of the digital economy.
Recently, the National Data Bureau and local provincial data bureaus have been established, and the National Data Bureau has also released a new draft of the "Data Elements" Three-Year Action Plan (2024-2026), which clearly shows the country's vision for better use of data elements in the next three years.
The overall goal of the country is to give full play to the multiplier effect of data elements (i.e., "data elements"), and use data elements to amplify, superimpose and multiply the role of data elements, so that data can optimize resource allocation, promote the innovation and upgrading of production tools, give birth to new industries and new models, achieve the development of new quality productivity, and promote the high-quality development of the country. Specific goals include: by the end of 2026, significantly expand the breadth and depth of the application of data elements, create more than 300 typical application scenarios with strong demonstrative characteristics, cultivate a group of data vendors and third-party professional service providers with strong innovation capabilities and good growth, and achieve an average annual growth rate of more than 20% in the data industry.
Based on these goals, the country hopes to integrate data into all aspects of production, distribution, circulation, consumption and social service management, and build a digital economy with data as the key element by combining with different industries and fields. The three-year action plan includes 12 priority actions to drive the deeper application of data elements in 12 priority industries and scenarios: These include:"Data Elements Industrial Manufacturing", "Data Elements Transportation", "Data Elements Green and Low-carbon"."Data Elements Technological Innovation", "Data Elements Financial Services" and "Data Elements Urban Governance", etc.
As the world's leading data infrastructure software providerBased on years of experience in serving the digital transformation of various industries, emq shares solutions in three scenarios: industrial manufacturing, transportation, and new energy management. Make data elements truly help enterprises build a new generation of real-time data foundation and create new industry value.
In the process of building smart factories and carrying out intelligent transformation and digital transformation, industrial enterprises often face various data challenges, such as the inefficient circulation of data, the inability to collect and analyze massive industrial data in real time, and the high cost of gateway digital hardware deployment and operation and maintenance.
EMQ provides a complete set of cloud-edge collaboration solutions designed to build a real-time data foundation for industrial manufacturing enterprises. This solution meets the needs of industrial data collection, data analysis, data exchange, data aggregation and data value mining, so that data can truly become the driving force of factory decision-making and production management.
EMQ's industrial edge gateway software, Neuronex, aggregates massive amounts of industrial data generated by different devices and systems at the edge, and helps enterprises use AI (artificial intelligence) and ML (machine learning) to extract valuable information and insights from large amounts of production data to optimize and analyze production line equipment. Reduce capacity losses caused by unplanned line stops, etc., and improve production efficiency and product quality.
In the cloud, enterprises can achieve unified data access, storage, management, and operation and maintenance through EMQX, an enterprise-level IoT access platform, and EMQX ECP, an industrial interconnection data platform with cloud-edge collaboration. It helps to save the cost of data collection and aggregation, so that enterprises can invest more time and resources in the research and development of applications such as intelligent alarming, autonomous decision-making, and advanced maintenance, so as to make better use of data and release its greater value.
With the development of intelligence and electrification in the field of automobile travel, the development of intelligent networked vehicles has become an industry consensus. However, in order to build market-competitive intelligent connected vehicles and in-vehicle applications, automakers still face many technical challenges, including powerful data infrastructure software capabilities, reliable vehicle-to-cloud connectivity, and flexible data collection and processing.
EMQ provides flexible data acquisition and vehicle-cloud collaboration solutions to help car companies build a closed-loop of vehicle-end data and establish a vehicle-cloud collaborative Internet of Vehicles data fusion platform. It provides reliable data support for cutting-edge applications such as autonomous driving, Internet of Vehicles platform, and vehicle-road-cloud integration.
EMQ's intelligent networked vehicle data solution architecture diagram On the vehicle side, EMQ's edge message server nanoMQ can be used as a cross-domain communication bus for in-vehicle data, supporting different protocols such as SOME IP, DDS, UDP TCP and MQTT protocol bridge conversion, and can seamlessly integrate with other IoT ecosystems. It helps users to open up the fragmented protocols between the vehicle, the vehicle, the cloud, and the vehicle, and build a unified data channel for the integration of the vehicle and the cloud. At the same time, the combination of EMQ's edge streaming analysis engine eKuiper and NaNMQ can provide rich data conversion capabilities and flexible data collection capabilities. Real-time analysis of heterogeneous data from different sensors in the vehicle helps OEMs close the data loop.
In addition, EMQ's distributed MQTT message processor, EMQX, can be the core data access component in the IoV platform architecture, connecting the vehicle to the cloud. Its high-performance, high-reliability, and scalability design can help car companies cope with the challenges of massive vehicle-machine connectivity, high data throughput, security authentication, and complex network environments, so as to build a high-performance, highly reliable, and easy-to-maintain Internet of Vehicles platform.
At the same time, EMQX has been in power since 5Since version 0, MQTT over QUIC has been the first to introduce the standard protocol for next-generation vehicle-to-vehicle*** transmission, which effectively solves the challenges of various data transmission in unstable network environments. As a member of the international standards organization OASIS, EMQ is also actively promoting the standardization process of the MQTT over QUIC protocol, so that more users in scenarios such as Internet of Vehicles and mobile data collection can benefit from it.
In the three-year plan of "Data Element X", the state has clearly put forward the goal of improving energy efficiency in key green and low-carbon actions. With the rapid development of digital technologies such as the Internet of Things, big data, and AI, the application scope of smart grids is expanding day by day. Smart grids can monitor the status and operation of the power system in real time, and promote the smoother integration of renewable energy such as wind power and photovoltaic power into the grid, so as to ensure the green and efficient use of energy.
However, in order to achieve these goals, power and new energy companies often need to build a robust energy management platform and face many technical challenges. For example, in the face of real-time data collection of massive heterogeneous devices, complex network environment, big data concurrency and processing, data security and privacy protection, and remote monitoring and automation.
emq provides cloud-edge IoT basic software solutions. Help energy companies achieve one-stop IoT data connection, transmission, processing, and storage from the edge to the cloud. It helps power enterprises achieve more efficient, safe, and lean power operation and maintenance management, and supports real-time fault handling, optimal operation and monitoring of new energy power equipment.
EMQ Smart Grid Solution Architecture DiagramThrough the edge gateway software Neuronex, enterprises can easily collect millions of high-throughput, multi-source energy device data, collect and transmit this data back to the control center or cloud platform in real time, and provide a stable communication network through multi-level transmission. Since many wind farms and photovoltaic farms are located in remote areas, when the data from the station or centralized control data center is connected to the power grid, the network may be temporarily interrupted and the equipment data cannot be uploaded. When the network is interrupted, neuronex deployed at a station or centralized control center can cache real-time data into local memory or disk. After the network is restored, the cached data is automatically uploaded to ensure that the data is not lost.
In addition, as an enterprise-level IoT data access platform, EMQX has the ability to process and aggregate massive amounts of data. EMQX provides a high-availability cluster architecture, supports dynamic horizontal scaling, and supports millions of connections per node, thus providing a stable, reliable, and easily scalable and integrated data service center for the intelligent power operation and maintenance platform. EMQX also provides security features including TLS SSL encrypted transmission, client authentication, access control, and multiple authentication methods to ensure secure data transmission.
In addition, the MQTT IoT protocol provided by EMQ is combined with the forward and reverse gateway penetration technology customized for power data security and compliance, which can achieve a highly reliable, real-time data path based on the IoT protocol and the unified adaptation of power data security and compliance.