OFweek Cup 2022 China
Robot
Industry Annual Awards (abbreviated as OFweek Robot Awards 2022) is jointly organized by OFweek, China's high-tech industry portal, and its authoritative robot professional media - OFweek Robot. The award has been established for more than ten years and is a major brand event in China's robot industry. It is also one of the most professional and influential awards in the high-tech industry.
The event aims to build a brand communication and display platform for products, technologies and enterprises in the robotics industry, and leverage the resources and influence of OFweek to promote innovative products and solutions to industry users and the market, and encourage more companies to invest in technological innovation; at the same time, it will deliver more innovative products and cutting-edge technologies to the industry, and together imagine the future of the robotics industry.
This year, OFweek Robot Awards 2022 will be completely upgraded, expanding the track based on last year's awards and adding new awards related to the robot industry chain, forming more awards with wide coverage, deep industry reach, and great industry influence, including a total of 14 major awards.
Participating companies
Zhejiang Guozi Robot Technology Co., Ltd. has officially participated in the "Veco Cup OFweek 2022 China Robot Industry Annual Outstanding Application Case Award".
Case Introduction
The case of the intelligent handling project of high-density warehouses in plastic factories in the petroleum and petrochemical industry. This project adopts the Guozi intelligent handling solution, with multiple stacking forward-moving robots as the core, and adopts various logistics forms such as natural stacking and conveyor line docking to link all aspects of warehousing and warehousing, helping customers to quickly realize the automation and unmanned storage of synthetic resin products in and out of the warehouse, as well as the unmanned operation of empty pallet recycling, greatly increasing the warehouse capacity, reducing staff and increasing efficiency, reducing the safety risks of operation and realizing 24-hour operation. It can reduce the number of workers by 12 and save more than 1.7 million yuan in labor costs annually.
Reasons for participation
The case of the intelligent handling project of high-density warehouses in plastic factories in the petroleum and petrochemical industry. This project adopts the Guozi intelligent handling solution, with multiple stacking forward-moving robots as the core, and adopts various logistics forms such as natural stacking and conveyor line docking to link all aspects of warehousing and warehousing, helping customers to quickly realize the automation and unmanned storage of synthetic resin products in and out of the warehouse, as well as the unmanned operation of empty pallet recycling, greatly increasing the warehouse capacity, reducing staff and increasing efficiency, reducing the safety risks of operation and realizing 24-hour operation. It can reduce the number of workers by 12 and save more than 1.7 million yuan in labor costs annually.
Company Introduction
Zhejiang Guozi Robotics Technology Co., Ltd. has established a complete mobile robot technology system with technological innovation as the core, forming a product system with intelligent logistics, intelligent inspection and intelligent manufacturing as the core, which is widely used in important industries such as logistics, electricity, petroleum and petrochemicals, and railways. Guozi's intelligent logistics series robots currently cover logistics scenarios such as storage, distribution, and picking, and have applied for more than 1,000 patents. They are accurate, efficient, intelligent, and reliable, helping the rapid development of intelligent logistics.
Voting time: The voting for this year's Veken Cup OFweek 2022 China Robot Industry Annual Selection "OFweek Robot Awards 2022" will enter the voting stage on February 1. Everyone is welcome to vote.
Voting address: https://www.ofweek.com/award/2022/robot/vote.html
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