[China Instrument Network Instrument Research and Development] Commissioned by the Ministry of Industry and Information Technology, Liaoning Provincial Industry and Information Technology Commission organized an expert on the first batch of intelligent manufacturing special projects undertaken by the Shenyang Institute of Automation, Chinese Academy of Sciences in 2015 on the 29th "Apply standard research" was accepted, and the expert group unanimously agreed that the project passed acceptance.
Acceptance meeting expert group photo Source: Shenyang Institute of Automation, Chinese Academy of Sciences
The acceptance expert group consists of the national intelligent manufacturing standardization expert consultation group, technical experts and financial experts from universities and industry enterprises. Ma Zhongbin, Director of the Construction Promotion Division of the Provincial Ministry of Industry and Information Technology of Liaoning Province, and Hu Yuyuan, Director of the Technical Department of Shenyang Automation Institute participated in the acceptance meeting.
The project leader Shi Haibo’s research team made a report on project acceptance on behalf of the project team. Li Yu and Fang Bingjun, associate research fellows, respectively gave technical reports on the two draft standards of “General Technical Requirements†and “Safety Requirements and Assessment Methods.†On the basis of earnestly listening to the project report, the expert group reviewed the completeness and rationality of the project acceptance data in accordance with the requirements of the “Intelligent Manufacturing Comprehensive Standardization and New Model Application Project Acceptance Work Manualâ€. At the same time, the standard test verification platform Conducted an on-site inspection, conducted a random inspection of the verification provisions of the standard clauses, and watched the video of the scene verification of Chongqing Shengsheng Photoelectric Co., Ltd.
After full questioning and discussion, the acceptance expert group formed the acceptance conclusion: The acceptance data submitted by “Research on key application standards for digital workshops in the field of sensor manufacturing†was complete, completed the standard research report, drafted draft standards, and set up an experimental verification platform. The full content of the standard was verified through proofs, platforms, and onsite verification. The project implements the budget in accordance with the Measures for the Administration of Expenses, so as to achieve the special and special accounts for special funds and the use of funds. The standard achievements of the project have been successfully applied in Chongqing Sound Photoelectric Sensor Digital Workshop enterprises, which has a guiding role in the construction of digital workshops for industrial enterprises. The acceptance expert group unanimously agreed that the project meets the requirements of the assessment indicators in the implementation plan and agreed to pass the acceptance check.
The two draft standards formed by the project can regulate and guide the planning, construction, transformation, and operation of the digital workshop of the sensor industry and other information technology product manufacturing companies. The experimental verification platform built can be used as an open source for industry enterprises to provide digitization. Workshop management technology and system public platform for research, testing, test verification and operation evaluation, and provide favorable support conditions for the promotion and application of standards. At the same time, the project-related achievements will also greatly enhance the overall capabilities of Shenyang Automation as a national intelligent manufacturing solution provider, and better serve the intelligent transformation and upgrading of manufacturing enterprises in Liaoning and even the whole country.
(Original Title: Research on the key application standards for digital workshops in the field of sensor manufacturing through the acceptance of the special project for intelligent manufacturing of the Ministry of Industry and Information Technology)
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