ANHUI CAS-ZHONGHUAN INFORMATION TECHNOLOGY CO., LTD. (安徽中科中涣信息技术有限公司)
R&D Center (研发中心)
R&D Center (研发中心)
ANHUI CAS-ZHONGHUAN INFORMATION TECHNOLOGY CO., LTD. (安徽中科中涣信息技术有限公司)
R&D Center (研发中心)
Wei Huang
Sinociple
Zeyang Zhu
Benchmark
2023/03/22
2026/03/22
R&D Center
CMMI Development - Maturity Level - 3
85%
90%
EPG
Organizational Project
1
OT
Organizational Project
1
QA
Organizational Project
2
Test Group
Organizational Project
3
CM
Organizational Project
1
MaaS Travel System
OU Project
6
External Projects
Bus Big Data System
OU Project
6
External Projects
Intelligent Scheduling System
OU Project
6
External Projects
Intelligent Terminal Management System
OU Project
6
Internal Projects
Intelligent Safety Warning System
OU Project
6
External Projects
The OU's products mainly serve the internal staff of urban public transport companies and passengers taking public transport. The main product lines include intelligent scheduling, Internet of Things equipment management, security early warning monitoring, ERP, big data analysis platform, MaaS, etc. The research and development center has always carried out technological innovation and research and development of relevant products around the field of smart public transport. It is committed to becoming the leading intelligent public transport system product solution provider in China, promoting the digital and intelligent transformation and upgrading of public transport, and making the city safer and more convenient. The R&D Center, in close cooperation with the University of Science and Technology of China and the Institute of Technology Innovation and Engineering of the Chinese Academy of Sciences, has produced algorithms or models such as passenger flow scheduling algorithm model, road condition prediction model, and line network diagnosis analysis model in the fields of travel safety, passenger flow analysis, and line network optimization. At present, there are 38 people in the R&D center, mainly including product managers, software R&D engineers, quality assurance QA, test engineers, operation and maintenance personnel, etc. Based on the passenger flow law, real-time vehicle scheduling with AI algorithm is provided. IOT and cloud native micro-service distributed architecture are adopted. Big data analysis platform adopts big data and other technologies.
Type of Work: From the perspective of "Type of Work", the appraised projects are divided into two categories: internal and external.
Internal Projects: 1. Use the internal technical route and consider the internal product performance indicators. 2. The progress pressure of internal projects is less than the progress pressure of external projects. 3. Third-party interfaces and protocols are involved.
External Projects: 1. Use the technical route required by Party A. 2. Higher schedule requirements for external projects. 3. No need to consider third-party protocols.
External Projects
Internal Projects