Institute of Art and Design, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China.
ABB Beijing Drive System Co., Ltd, Beijing, China.
J Environ Public Health. 2022 Jul 13;2022:1768446. doi: 10.1155/2022/1768446. eCollection 2022.
The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accumulate design knowledge results, sort out the design process, and shorten the design cycle. The goal of this project is to combine artificial intelligence, big data, the Internet of things, parameterization, and other computer technologies with the industrial environment and health design and development process of manufacturing enterprises to solve pain points for businesses and designers, as well as to develop and create a large-scale product-level general parameter intelligent design software. The development of this software project can greatly improve the work efficiency of designers, save the time spent by designers on low-end repetitive labor, and in turn promote designers to engage in more valuable creative work and realize the digitization of entire product life cycle. It can also improve the inefficient and redundant work efficiency of designers, and designers can switch between multiple roles. At the same time, a design think tank is formed through the accumulation of enterprise design knowledge through data, and the neural network platform development of big data drives the design brain, that is, an efficient and intelligent industrial environment and health design expert system is generated, just like the enterprise brain, including expert think tanks, internal technical data encryption of enterprises interface, enterprise core technology think tank, enterprise production resources, risk control standard library, etc.
由小数据驱动的工业环境与健康设计企业智能大脑神经网络平台将企业设计师的智慧知识转化为数据，帮助企业保留设计经验、积累设计知识成果、梳理设计流程、缩短设计周期。该项目的目标是将人工智能、大数据、物联网、参数化等计算机技术与制造企业的工业环境与健康设计和开发过程相结合，解决企业和设计师的痛点，开发和创造大规模产品级通用参数智能设计软件。该软件项目的开发可以大大提高设计师的工作效率，节省设计师在低端重复劳动上花费的时间，进而促使设计师从事更有价值的创造性工作，实现整个产品生命周期的数字化。它还可以提高设计师低效和冗余的工作效率，设计师可以在多个角色之间切换。同时，通过数据积累企业设计知识形成设计智库，大数据的神经网络平台开发驱动设计大脑，即生成高效智能的工业环境与健康设计专家系统，就像企业大脑一样，包括专家智库、企业接口的内部技术数据加密、企业核心技术智库、企业生产资源、风险控制标准库等。
