IC755CSS10CDA In the past few years, under the common influence of policy, technology, market and other factors, the life science industry has shown a rapid development trend, and the growth rate is at the forefront of various industry sectors. Whether it is the long-term favorable release of a series of industry planning, the loose environment for further opening up of the market, or the wave of innovation brought about by the accelerated integration of a new generation of digital technologies such as artificial intelligence, it has injected vigorous impetus into the development of this field.
At the same time, this high-tech industry under the spotlight is also a place where many challenges converge. On the one hand, the life science industry integrates various production scenarios of process industry and discrete industry, and the requirements in process control, production operation and energy management are not only higher, but also more complex; On the other hand, as an industry related to people’s health and safety, the life sciences industry faces more stringent compliance regulations than the general industry in terms of quality, safety and sustainability. Finally, in an industry where intense competition is the norm, life sciences companies also need to improve on time-to-market, agility, and combined cost.
To promote the efficient and sustainable development of the whole value chain of life sciences through innovation in three areas
Where there are challenges, there are opportunities for innovation and transfoIC755CSS10CDA rmation. As a key area of new quality productivity, the life science industry is also facing a transformation wave of innovation-driven restructuring of industry competitiveness. New quality productivity is both digital productivity and green productivity, which makes innovation focusing on the three major areas of digitalization, automation and electrification, and is becoming the key driving force to promote the transformation and breakthrough of the life science industry.
In the real industry, any life science enterprise depends on the supply of raw materials and auxiliary materials in the upstream, but also depends on the downstream packaging, warehousing, logistics, distribution, and also needs the strong support of infrastructure such as power, transportation, and information systems. It can be said that these seven links together constitute the complete value chain of the upper, middle and lower reaches of the life science industry, and at the same time, each has its own unique characteristics in terms of specific technology needs and transformation focuses. So, how does Schneider Electric make the value of digital transformation and sustainability run through the industry through the three “threads” of digitalization, automation and electrification?
Infrastructure: Building three-dimensional support for the whole life cycle
First of all, a set of stable operation infrastructure is the “base” on which the life science industrial park relies, which directly affects the operation and production status, product production quality and personnel safety of the park. In this regard, whether it is a safe and stable power supply guarantee, or a data center that guarantees the normal flow of information and data, it is crucial. To achieve this, it is inseparable from the management wisdom of digital empowerment, and the details involved cover all aspects of the full life cycle of energy and information infrastructure.
For example, in terms of saving raw materials, through the optimization and adjustment of bus bars to achieve aIC755CSS10CDA more reasonable routing design, up to 40% of copper materials can be saved; When it comes to equipment maintenance, a variety of sensors can be used to monitor equipment operating conditions in real time, thus enabling predictive maintenance of equipment, achieving a significant reduction in sudden failures and unplanned downtime, and extending system life and reducing total costs with Schneider Electric’s EcoFit™ retrofit service; From the perspective of the full life cycle, ETAP power system simulation software can also be used to optimize the full life cycle management operations of the power infrastructure, as well as through the construction of modular data centers and other facilities to achieve segmented on-demand construction, avoiding excessive investment and waste in the early stage of the project.
Fine chemical production: Software and AI deep enabling
In the life sciences sector, chemical production upstream of the industry is also critical. The production of many drugs and reagents is inseparable from the various chemicals, solvents and apis provided by the fine chemical production process, and the production efficiency, safety compliance and sustainability of these chemicals are increasingly attracting attention. In this segment, Schneider Electric has a complete set of AVEVA software solutions that cover the simulation, design, construction, delivery, operation, maintenance and other stages of pharmaceutical and chemical production processes, and solve various challenges through the DCS system and high-performance frequency drives.
For example, in a distributed control scenario simulated in the field, even if there is a simulated failure at one or more nodes, Schneider Electric’s solution can also make intelligent automatic adjustments to the remaining nodes, so that the overall system always maintains a normal operating state, avoiding “losing the whole situation because of one corner.” At the same time, artificial intelligence technology is also increasingly integrated into this link, for example, artificial intelligence based on visual recognition can automatically detect personnel who stray into dangerous areas, timely warning and make necessary operations to ensure the safety of personnel and devices; Another example, in the past, the adjustment of the liquid level needed to be operated through the system interface, but now, with the help of artificial intelligence vision, only the staff can make gestures, marking the far-reaching change of the human-computer interaction mode.
