Visualization Digital System of Digital Museum Based on Big Data Technology

Xu, Rui; Mi, Hanlin

doi:10.1109/icitbs53129.2021.00154

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the continuous growth of society and the increasing innovation of science and technology, nowadays, the world has gradually moved towards the era of BD 1 . In the past few decades, the demand for electricity has been increasing, and the efficiency of power generation and transmission equipment is low, which makes the power system face operational pressure.…”

Section: Introductionmentioning

confidence: 99%

Construction of smart management model for power grid user side based on artificial intelligence and power BD

Du,

Guo,

et al. 2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

View full text Add to dashboard Cite

The changes in the pattern of electricity energy supply and demand, as well as the trend of energy development, have led to the reform and progress of the domestic and international electricity industry market, accelerating the construction of smart grids in various countries. In recent years, the rapid growth of China's economy has driven the continuous progress of science and technology. Information Technology (IT), Big Data (BD) technology and Artificial Intelligence (AI) are widely used in all walks of life. The traditional power grid is gradually developing towards user demand side response, making system regulation more flexible and allowing users to fully participate in the operation of the power system and energy market. In order to build a power grid user side intelligent management system based on AI algorithm driven by power BD, this article studies a user Demand Side Management (DSM) method based on load transfer technology and uses a demand side user response potential assessment model based on fuzzy optimization set to evaluate its management effectiveness. Through numerical simulation, the task allocation process of load aggregators is simulated, and the rationality, effectiveness, and feasibility of this assessment method are demonstrated from aspects such as task completion and aggregator benefits. The results show that the system can effectively control and manage the operation of various devices, keep the total consumption below the threshold, and manage the load based on priority.

show abstract

Section: Introductionmentioning

confidence: 99%

Construction of smart management model for power grid user side based on artificial intelligence and power BD

Du,

Guo,

et al. 2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

View full text Add to dashboard Cite

show abstract

The construction of the museum audience data system based on big data technology

Chang

2024

2024 International Conference on Culture-Oriented Science &Amp;amp; Technology (CoST)

View full text Add to dashboard Cite

Data Mining Techniques and Strategies in Digital Asset Management in Cultural Museums

Yang

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

The development trend of digital assets characteristic of public cultural service units involves the rational and standardized management of existing and future-generated digital resources. The study examines the significance of data mining technology in the digital asset management system of cultural museums. For the information retrieval service involved in the system, an improved decision tree algorithm based on mutual information is proposed as the data mining kernel by improving the ID3 algorithm to achieve fast and effective information retrieval of multi-source data. On different domain sets, the average retrieval speed of the improved decision tree algorithm is 6.87 ms, which is better than the Random Forest algorithm and Bagging algorithm, and it is able to accurately retrieve the data location of digital assets. This paper proposes to improve the management of digital assets in cultural museums from three aspects: innovating the institutional mechanism, standardizing the account management of digital assets, and establishing an intelligent promotion platform for digital assets.

show abstract

Visualization Digital System of Digital Museum Based on Big Data Technology

Cited by 3 publications

References 7 publications

Construction of smart management model for power grid user side based on artificial intelligence and power BD

Construction of smart management model for power grid user side based on artificial intelligence and power BD

The construction of the museum audience data system based on big data technology

Data Mining Techniques and Strategies in Digital Asset Management in Cultural Museums

Contact Info

Product

Resources

About