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R&D Team

Innovation or Nothing

Technology Frontier R&D Team

It has a R&D team led by a number of doctors and masters, ranking among the best in the same industry in China. After nearly 30 years of development, the company has established an excellent R&D team integrating mechanical design, electrical design, PLC control, electronic design, software control, artificial intelligence, big data, business intelligence and other professionals.

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The R&D team has a high level of education, with nearly 70% of the team having bachelor's degree or above, several doctors have studied in Georgia Institute of Technology ISyE. We have established a national logistics engineering talent training and practical training base, and creatively implemented a comprehensive orientation training program for logistics engineering talents.

Staff Composition and Education of R&D Personnel

43%

Production

8%

Sales

28%

Technical

21%

Others

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Excellent R&D Capabilities

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Sorting

Fast Sorting Theory

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Storage

Active Storage Theory

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Object Identification

A System of Kongming Optimization Algorithm

Innovation Theory

Original Logistics Theoretical System

Innovation Theory

Original Logistics Theoretical System

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Sorting

Fast Sorting Theory

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Storage

Active Storage Theory

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Object Identification

A System of Kongming Optimization Algorithm

Technical Advantages

Dozens of Self-developed Core Technologies
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Simulation-based Lightweight Design Technology

More comprehensive mechanical analysis and more reliable structure.

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Multi-order S-curve based Speed Control Technique

Keeps equipment running fast and steady.

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Pallet Position and Profile Information Detection Technology

Judging abnormal conditions in advance, avoiding the risk of accidents, and operating smarter and more stable.

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AGV Scheduling Technology based on Time Prediction Mechanism

Reduce the probability of traffic control and increase the efficiency of parallel work of large-scale AGVs.

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Layer Group-based Palletizing and Depalletizing Technology

Layering and grouping work in parallel for more efficient depalletization.

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Fork Spacing Self-adjusting Technology

Seamlessly adjust the distance between two fork plates to access different size cases.

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Simulation-based Seismic Design Technology

More than 10% higher seismic performance than common shelf structure in the industry.

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Dynamic Case Level Management Technology

Shelf storage density can be increased by more than 30% .

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Pre-sorting Technology based on Waterfall Cache Slide.

Pre-sorting of all brands of cigarettes to improve the efficiency of cigarette picking.

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Flexible Tote Technology

Recyclable to improve the loading rate of distribution vehicles and simple recycling operation.

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Inbound Scheduling Technology based on Correlation Analysis

More than 10% increase in equipment work parallelism over random inbound scheduling technology.

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3D Simulation Technology based on OpenGL and Petri Net Model

Real-time dynamic online simulation to meet the diverse simulation needs of logistics automation systems.

Has Become An Outstanding Brand with Greater Influence In The Same Industry In China

BlueSword has undertaken the major special project of Shandong Provincial Science and Technology Department "research and application of key technologies of intelligent logistics robots"; It has won a number of awards and honors from government departments such as the "new generation of AI industry innovation key task winner" of the Ministry of industry and information technology of the people's Republic of China, and the "first batch of Jinan manufacturing single champion enterprises" of the Jinan Bureau of industry and Information.

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BlueSword Research Institute

The company has established BlueSword Research Institute, which is mainly responsible for researching the current situation and future development trend of the industry in which the company is located, guiding the direction of the company's R&D, and coordinating the division of labor and cooperation among various R&D departments in the project R&D.

Mr. Wu Yaohua, Doctor of Engineering of Tsinghua University, Doctoral Supervisor of Shandong University and Chairman of BlueSword Intelligence, is a technical expert who has been engaged in the warehouse logistics automation industry for more than 30 years, not only has a deep theoretical foundation, but also has accumulated rich technical practical experience in his work.

Intelligent Agriculture

Future Digital Plant Factory
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BlueSword Intelligence combines years of accumulated experience in plant-based intelligent manufacturing technology with the characteristics of intelligent agricultural equipment, applies the results of advanced industrial automation manufacturing technology to the creation of plant technology and equipment, and successfully develops complete sets of plant automation technology and equipment through the research of key technologies such as machine vision recognition judgment and artificial intelligence.


BlueSword intelligent automated plant factory mainly consists of the following systems: automated seed sowing machine, seedling sub-planting robot, harvesting robot and automated logistics control system; intelligent LED precision dimming system; high cultivation volume workshop uniform environment control system, nutrient solution real-time monitoring and disinfection system, plant growth online monitoring diagnosis and control system; leafy vegetable production intelligent monitoring and autonomous intelligent management system, etc. 


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