Study on intelligent digital welding machine with a self-learning function

A design idea was proposed that it was about intelligent digital welding machine with self-learning and self- regulation functions. The overall design scheme of software and hardware was provided. It was introduced that a parameter self-learning algorithm was based on large-step calibration and partial Newton interpolation. Furthermore, experimental verification was carried out with different welding technologies. The results show that weld bead is pegrect. Therefore, good welding quality and stability are obtained, and intelligent regulation is realized by parameters self-learning.

Research on Interdisciplinary Project-Based Teaching in Primary Schools Catalyzed by Digital Intelligence Empowerment

With the rapid development of information technology,digital intelligence empowerment has gradually become an important direction of educational innovation.This paper uses the case analysis method to explore in depth how digital intelligence empowerment and project-based teaching can promote the integration of primary school curricula.Taking the teaching of intelligent patrol cars as an example,this paper analyses the positive role of digital intelligence empowerment in improving teaching effectiveness and cultivating students’comprehensive ability.The research results show that digital intelligence empowerment not only enriches teaching resources but also optimizes the teaching process.Combined with project-based teaching methods,it can effectively improve students’interest in learning and performance.This study provides a useful reference and inspiration for the project-based teaching of curriculum integration in primary schools and has certain practical significance and theoretical value for promoting the process of educational informatization.

Construction and Practice of Education and Teaching Quality Assurance Systems in Applied Colleges and Universities under the Background of Digital Intelligence

This paper discusses the optimization strategy of education and teaching quality assurance systems in applied colleges and universities under the background of digital intelligence.It first summarizes the relevant theories of digital intelligence transformation and analyzes the impact of digital intelligence transformation on higher education.Secondly,this paper puts forward the principles of constructing the quality assurance system of applied colleges,including strengthening the quality assurance consciousness,improving teachers’digital literacy,and implementing digital intelligence governance.From the practical perspective,this paper expounds on strategies such as optimizing educational teaching resource allocation,constructing a diversified evaluation system of teaching quality,strengthening the construction and training of teaching staff,and innovating teaching management methods.Specific optimization measures are put forward,such as improving policies,regulations,and system guarantees,strengthening cooperation between schools and enterprises,integrating industry,school,and research,building an educational information platform,and improving the monitoring and feedback mechanism of educational quality.

Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration behavior.From the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the upstream, midstream and downstream areas. Furthermore, establishing mechanisms for water resource transfer and trade among different industries can be instrumental in maximizing the benefits derived from water resources.Finally, we envisage a future of agriculture characterized by the integration of digital, robotic and biological farming techniques.This vision aims to incorporate small tasks, big models, and deep intelligence into the regular ecological practices of intelligent agriculture.

Digitalization and intelligentization of manufacturing industry

1 Relying on innovation to realize the historical leapChina has entered a new historical period in her development. In order to achieve scientific development and to accelerate transformation of economic development pattern, the most fundamental issue is to rely on the power of science and technology, and the most crucial element is to improve the capability of independent innovation. The key for promoting China＇s economic and social development is to embark on the innovation-driven track as soon as possible.

Intelligent Controller of Digital High Intensity Discharge Lamp

High-intensity discharge (HID) lamps include these types of electrical lamps: mercury vapor, metal halide (also HQI), high-pressure sodium, low-pressure sodium and less commonly, xenon short-arc lamps. The light-producing element of these lamp types is a well-stabilized arc discharge contained within a refractory envelope (arc tube) with wall loading in excess of 3 W/cm (19.4 W/in.). Compared to fluorescent and incandescent lamps, HID lamps produce a much larger quantity of light in a relatively small package. With tests made by the National Quality Supervision

Intelligent Controller of Digital High Intensity Discharge Lamp

High intensity discharge (HID) lamps include these types of electrical lamps: mercury vapor, metal halide (also hydraulic quantity indicator),

The Trend of Scientific and Refinement of Financial Management in Business Units

In the new era,financial management has become increasingly sophisticated and has had a significant impact and change on various industries and fields.This paper analyzes the key significance of performance appraisal in institutions and proposes ways to enhance performance appraisal innovation,which will prevail in financial management innovation in institutions and upgrade the value of its applications.

The Practical Challenges and Ecological Construction of the Lifelong Learning System in the Digital Era

At present,intelligent digital technology is irreversibly influencing all levels of the education field.The construction of an education system serving lifelong learning has also become an essential field of digital transformation.In the face of the impact of marketization,aging,and networking,as well as the update and iteration of intelligent digital technology,the construction of the lifelong learning system not only needs to realize the transformation with the help of digital technology but also needs to clarify the internal correlation of transformation goals,computing power support,multiple collaboration,and learning evaluation from the framework structure.At the same time,it is necessary to realize that the penetration of technology into lifelong learning may cause the misunderstanding of technology supremacy and the trap of tool rationality.Therefore,technological empowerment and enablement can accelerate the digital transformation of the lifelong learning system and coordinate with community education,elderly education,vocational education,higher education,and other fields to construct an integrated environment.Additionally,being critical issues requiring attention from society,they are also vital ways to overcome the above dis advantages,promote interactions between communities,governments,and professional education organizations,and improve the digital and intelligent learning environment.

The Formation Mechanism of an Enterprise’s Digital Intelligence Transformation Capability:A Case Study on“Knowledge-Action Oneness”in Haier

The rapid development of big data,artificial intelligence(AI),and blockchain technology makes the digital intelligence transformation of an enterprise possible.Based on the case study of Haier Group,this paper attempts to address the rationales behind building up the capability of digital intelligence transformation of enterprises by means of the traditional Chinese idiom,“knowledge-action oneness.”The result indicates that the learning process is an important factor for an enterprise to form its digital intelligence transformation capability.It is a process of mutual coupling between digital knowledge and digital actions.As a result of such a unity,different learning subjects form their corresponding digital intelligence transformation capability through their own learning process of mutual coupling of knowledge and action:Leaders form digital strategic capabilities through the mutual coupling of strategic knowledge and actions;employees form digital absorption capabilities through the mutual coupling of scenario-based knowledge and actions;teams form digital integration capabilities through the mutual coupling of integrated knowledge and actions;and the whole organization forms digital,eco-systemic capabilities through the mutual coupling of institutionalized knowledge and autonomous actions.Such a multi-level digital intelligence transformation system requires efforts from everyone in the enterprise.

A platform of digital brain using crowd power

A powerful platform of digital brain is proposed using crowd wisdom for brain research,based on the computational artificial intelligence model of synthesis reasoning and multi-source analogical generating.The design of the platform aims to make it a comprehensive brain database,a brain phantom generator,a brain knowledge base,and an intelligent assistant for research on neurological and psychiatric diseases and brain development.Using big data,crowd wisdom,and high performance computers may significantly enhance the capability of the platform.Preliminary achievements along this track are reported.