Trend six: Green manufacturing

Carbon footprint and carbon reduction technologies have become key breakthroughs in promoting green manufacturing

Green manufacturing is a comprehensive consideration of environmental impact and resource consumption of modern manufacturing mode, the goal is to make the product from design to recycling the entire product production cycle of the negative impact on the environment is minimal, resource utilization is extremely high, so that the enterprise economic benefits, social benefits and production benefits coordinated optimization. Carbon footprint and carbon reduction technologies are the key combination of technologies to achieve green manufacturing. Carbon footprint refers to the greenhouse gas emissions directly or indirectly generated by an organization, product or service during its life cycle. Carbon reduction technologies are technologies that can reduce carbon emissions or increase carbon sinks, such as industrial carbon capture and storage, and atmospheric carbon negative emissions.

Green and low-carbon is a new dimension of manufacturing transformation and development. In 2023, the dual-carbon technology stack will support the gradual landing of green manufacturing mode in power generation, steel, chemical, building materials and other industries, where carbon footprint and carbon reduction are in the core technology position, bringing many trend changes: First, carbon emission quantification technology, through the process mechanism and high-quality data to construct the internal logical relationship between industrial production and carbon emissions, combined with the continuous improvement of carbon emission accounting capabilities, enterprises will find an effective way to measure carbon assets. The second is the spatio-temporal perspective of carbon emissions, which is oriented towards the carbon emission accounting of the whole life cycle of products (time domain characteristics) and the carbon neutrality of the whole supply chain of the manufacturing industry (space domain characteristics).

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Third, the green transformation of industrial energy, based on the effective measurement and pricing of carbon assets, as well as the gradual landing of the carbon market, the green transformation of industrial energy will be truly related to the business indicators of the enterprise, so as to promote the enterprise to actively promote the green process of energy. Fourth, the energy Internet, enterprises use virtual power plants, integrated energy systems to manage and dispatch a variety of clean energy and energy networks, to achieve global ROI optimization is possible, technology landing from the building level to the park level.

Trend 7: Industrial Big Data

The value release of artificial intelligence will further accelerate the data infrastructure process of industrial enterprises

Big data technology is the sum of data collection, storage, management, analysis, mining, visualization and other technologies, which helps enterprises to precipitate massive multi-dimensional, high-growth, multi-form information assets. In turn, the ability to use intelligent technology to gain insight, self-optimization, prediction, decision-making capabilities. Industrial big data technology is to discover new knowledge rules in the massive and complex data generated by the industrial Internet of Things and industrial interconnection, and to mine valuable insights into the technical means to promote manufacturing enterprises to data-driven product and service innovation, management level improvement, production and operation efficiency improvement, and business model expansion.

In 2023, the breakthrough progress of artificial intelligence has made the industry begin to pay attention to the industrial application of large models, and industrial big data has become the key support for industrial enterprises to build AI-available data systems and create industrial large models. For enterprises in the leading position of digital intelligent transformation, the potential huge value of industrial big data will attract them to continue to increase IT investment in the next few years, bringing some trend changes:

The high complexity of industrial big data is the difficulty of traditional data technology applied to industry, and AI technology is very good at dealing with complex but structured data, so the concept of enterprise lifecycle data management will be put into practice by more enterprises. Second, the advanced application of big data technology is accelerated, and the high-level application of data technology is accelerated, such as the lakehouse integration of data processing, the batch flow integration, the application of data analysis and other technologies, and the algorithm model, intelligent label, knowledge graph, visualization and other advanced analysis technologies of data analysis.