Jingchu land, only this green. On June 30, dandelion co-founder, pharmaceutical intelligent manufacturing industry alliance (PIMA) co-sponsors and secretary general Mr Yang Qifeng to day group (Jingzhou) green pharmaceutical industry base project, on behalf of the PIMA awarded day day engineering technology group (Jingzhou) green pharmaceutical industry base project "chemical pharmaceutical intelligent factory best practice award", awarded the owner unit day (Jingzhou) pharmaceutical co., LTD. "chemical pharmaceutical intelligent factory excellent demonstration project". Wang Kai, general manager of Tianke (Jingzhou) Pharmaceutical Co., LTD., and Chen Yu, chief engineer of The Chemical Medicine Division of The Times Group attended the award ceremony.

The Best Practice Award for Chemical Pharmaceutical Intelligent Factory (Zuo Chen Yu, right Yang Qifeng)

Issuing the Excellent Demonstration Project of Chemical Pharmaceutical Intelligent Factory (left Yang Qifeng, right Wang Kai)
Tianke (Jingzhou) Green Pharmaceutical Industry Base project was contracted by Tianshi Group and started construction in June 2020 with an investment of 770 million yuan. It is positioned as an international and modern pharmaceutical enterprise. In April 2022, the project was a successful trial run and attracted wide attention in the industry. After the declaration, pharmaceutical intelligent manufacturing industry alliance expert group of the project to build intelligent factory forward-looking and advanced recognition, decided to award the project owner unit day of pharmaceutical and contractors day group two big awards, to encourage and affirm the two units of industry benchmarking demonstration and frontier exploration leading role.
At the symposium after the award, we respectively made speeches on the positioning, project overview, construction significance of Tianke (Jingzhou) Pharmaceutical Co., Ltd. and the green and intelligent advantages of The Times Group in the process of project construction.

Secretary General Yang Qifeng had a discussion with the project personnel
Wang Kai, general manager of Tianke (Jingzhou) Pharmaceutical Co., LTD., said that Tianke (Jingzhou) Pharmaceutical Co., Ltd. has always taken green development as its own responsibility, adhered to the high-quality development route, used to undertake the social responsibility of scientific and technological innovation and green manufacturing, and took the lead in implementing the national call of smart factories and green factories. Day (Jingzhou) green pharmaceutical industry base project adopts fully automated production equipment, realize the whole process automation, compared with the traditional production mode can be 60%, and greatly improve the process safety control, after, minoxidil production line a successful trial, marks the project indicators as expected, opened the day number intelligence development of new mileage.
Day group chemical medicine division chief engineer Chen Yu said, based on the overall positioning of the company, day for the project system planning and custom design, combined with the advantages of API information engineering, process automation, design and implemented the automatic process control, energy management system, data visualization platform, safety management system and other whole factory intelligent system construction, really achieve the production automation, data visualization, intelligent monitoring, security compliance.
Mr.Yang Qifeng said that the exploration of digital transformation will be the key move for pharmaceutical enterprises to face the future competitiveness. The digital exploration of Tianke project really walks in the forefront of the chemical pharmaceutical industry, so that no one has no one, making a demonstration and leading role for the high-quality development of intelligent manufacturing in the pharmaceutical industry.

Secretary General Yang Qifeng visited the central control room of the project
In the future, The Group will continue to explore and work in the pharmaceutical industry, dig deep into the core business scenarios and pain points of the industry, explore the industrial application of intelligent technology, and strive to make the industry pharmaceutical more intelligent and more efficient management.