Evidence map›Paper›PMID 38322937›Full record

ArticleHeliyon2024

Design of urban innovation space system using artificial intelligence technology and internet of things.

Yifang Gao

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Yifang GaoCollege of Design and Innovation, Tongji University, Shanghai, 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this paper is to integrate artificial intelligence (AI) and Internet of things (IoT) technology into urban innovation space systems while expediting the construction of urban informatization. The core of the paper is to build an innovation space system, which is developed around three key components: innovation elements, innovation networks and innovation bases. First, the definition of innovation space is investigated in detail, and the essence of innovation space is understood to ensure that the key elements in the innovation process can be accurately captured and analyzed in the follow-up research. Second, it is clear that Chengdu is a representative city in Sichuan Province. Through the research in this area, people can deeply understand the specific background and characteristics of urban innovation space system. Then, the innovation space system is constructed, which is supported by innovation elements, innovation networks and innovation bases. These three components are intertwined, which together constitute the key elements of urban innovation space. Furthermore, the Internet worm technology is integrated with the IoT technology, and the system is visually inspected with the help of AI. The application of IoT technology helps to realize the automation and information sharing of the system, while the use of AI provides a deep insight into the system structure and operation. Through this research process, people can fully understand the construction process of Chengdu innovation space system, and provide deeper insight and support for urban innovation through the application of IoT and AI technology. The results show that while Chengdu's entrepreneurship and innovation enterprises are dispersed throughout all of the city's districts and counties, the city's academic talent and the bulk of its higher education institutions are concentrated in the city's core. There are 275 entrepreneurship and innovation enterprises in the High-tech District of Chengdu, which is the most densely distributed area. An urban innovation space network is being built by eight distinct research and higher education establishments. As urban innovation spaces are being built, emphasis should be given to the regional aggregation features of talents, higher education and research institutions, as well as entrepreneurship and innovation business enterprises. The innovation space system based on Internet worm technology of the IoT shows excellent performance in real-time identification of innovation elements, network connection quality, sensor monitoring, AI visual monitoring and so on. The system performs well in real-time monitoring of new enterprises and projects, and the real-time recognition rate reaches 98 %. The communication quality of the innovation network is relatively stable, and the connection quality reaches 92 %. The accuracy of sensor status monitoring in the IoT is high, reaching 99 %. The coverage of AI vision monitoring system reaches 96 %, effectively monitoring the areas involved in innovative space systems. Generally speaking, through the combination of theory and practice, this paaper provides comprehensive and specific guidance for the construction of urban innovation space system, promotes the research progress in this field, and makes beneficial contributions to the sustainable development of urban innovation and informatization.

Indexed as

Artificial intelligenceInternet of thingsInternet wormUrban innovation space systemVisualization

Identifiers

PMID38322937
PMCPMC10844571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.