CMMI Institute

« Appraisal Overview

Zhejiang Xinzhishutan Technology Co. (浙江新至数碳科技有限公司)

R&D department (技术研发部)

Appraisal Details

Organization

Zhejiang Xinzhishutan Technology Co. (浙江新至数碳科技有限公司)

Organizational Unit

R&D department (技术研发部)

Appraisal Team Leader

Peng Xu

Partner

Shanghai ZHITENG Information Technology

Sponsors

Qianbo REN

Appraisal Type

Benchmark

Last day On-site

2023/02/10

Appraisal Expiration Date

2026/02/10


R&D department Project Description

Organizational Unit

R&D department

Domain

CMMI Development - Maturity Level - 3

Sample Size - People

97.7%

Sample Size - Projects

100%


Project Name

Process Improvement & Training

Project Type

Organizational Project

Project Description

The process improvement and training group who are responsible for process definition, training, auditing and improvement to support project and business success.

Number of People

4

Location

Subgroup


Project Name

Energy storage management platform product joint research and development project

Project Type

OU Project

Project Description

The energy storage management platform realizes panoramic monitoring of energy storage power stations, fewer people on duty, intelligent operation and maintenance, dynamic adjustment of energy storage strategies, remote control, and policy issuance, thereby improving the efficiency of energy storage, ensuring safe and stable operation of power stations, and realizing operation and maintenance The advanced judgment and early troubleshooting of faults provide flexible access in various energy storage application scenarios, further improve equipment perception capabilities, intensive power station operation and maintenance management and control capabilities, and realize the management mode from "extensive" to "fine". This product is aimed at customers who need intensive management of energy storage sites. On the one hand, it meets the needs of local control and remote centralized control of user-side power stations. A variety of future scenarios such as virtual power plants lay the technical foundation.

Number of People

8

Location

Subgroup

SG-1


Project Name

Henan Zhongmu Agricultural Pollution Smart Platform Construction Project

Project Type

OU Project

Project Description

According to the requirements of the Zhongmu County Housing and Urban-Rural Development Bureau, Henan Zhongmu Agricultural Pollution Smart Management Platform will be built, and the agricultural pollution business and information technology will be strengthened by using advanced new-generation information technologies such as the Internet of Things, the Internet, big data, cloud computing, and mobile Internet. In-depth integration to collect, store, manage, analyze and share information such as the operating status of rural domestic sewage treatment equipment and facilities, effluent water quality, and water volume, and build a set of digital large screens, map monitoring, real-time monitoring, alarm management, data analysis, and report management. , equipment management, inspection management, maintenance management, repair management, system settings and other functions in one comprehensive management platform for intelligent operation of rural domestic sewage, which realizes centralized management of rural domestic sewage treatment sites, intelligent alarm and judgment of abnormal information , Intelligent management of inspection and maintenance tasks, etc., improve the operation and supervision capabilities of the Zhongmu County Housing and Urban-Rural Development Bureau of Zhongmu County, and ensure the efficient, stable and low-cost operation of the processing site.

Number of People

9

Location

Subgroup

SG-2


Project Name

Jiahua Coking Ultra-low Emission Management Platform

Project Type

OU Project

Project Description

The ultra-low emission platform effectively utilizes online monitoring, Internet of Things, visual AI, and big data related technologies to achieve emission reduction at the source of pollutants, process control, and real-time system management of the entire process, improve the overall governance efficiency of Hebei Zhenyan Electronic Technology Co., Ltd., and achieve environmental protection super low emission standards. Through the real-time monitoring of organized and unorganized emissions in the factory area, combined with various data such as air quality micro-stations, video surveillance, vehicle supervision, access control systems, energy consumption, and 3D GIS maps in the factory area, the organized and unorganized emissions can be effectively mastered and scientifically analyzed. Organize the emission distribution concentration, change law, etc., and carry out intelligent, information-based, and scientific management and control based on the analysis results to provide strong support for corporate governance.

Number of People

12

Location

Subgroup

SG-2


Project Name

Ningbo District Dual Carbon Data Collection and Analysis Project

Project Type

OU Project

Project Description

Through the implementation of this project, focusing on the three major themes of improving power regulation capabilities, improving social energy efficiency, and improving social dual-carbon goals, a typical application scenario of the park’s source, network, load, and storage data is constructed to support the typical application scenarios of Ningbo’s digital traction new power system park For implementation, it is necessary to analyze and utilize 1,430 pieces of business table data in the provincial data center and measurement center and Ningbo local user-side data, and to manage and integrate the data, sort out the data resource catalog of Ningbo’s new power system construction Ningbo Demonstration Park, and target business Scenarios need to carry out data slicing, build source-network-load-storage all-element stream-batch integrated data services, form a park data governance service system, conduct key data analysis, data modeling, and interface development for park data, form a park data index application system, and realize park Efficient interaction of source, network, load and storage all-factor data. Improve power regulation capabilities. Collect enterprise electricity, gas, heat energy consumption data, enterprise key production (process) energy consumption data integration and interaction, support enterprise key energy-consuming equipment operation model and distributed resource model construction, realize energy management with digital intelligence, and improve the energy efficiency level of the district.

Number of People

8

Location

Subgroup

SG-1


OU Description

There are 17 people in total in the R&D department, including 8 software people, 6 hardware people and 3 product people. It is mainly responsible for the provision of project-oriented technology delivery resources (product design, data engineering, software development, hardware integration, etc.) and project technology delivery guarantee service etc. The main project is based on the application of "dual carbon" scenarios. In the fields of power grid, steel, and comprehensive energy, it provides access to energy equipment, energy consumption information management and multi-dimensional analysis, combined with the actual business management, continuously improves management efficiency, optimizes management and control costs, and Provide long-term operation support services, and provide energy service providers with innovative sustainable development operation solutions and business models. Deeply in line with the development trend of various industries, using new information technology and technological means, with lean management of low-carbon equipment as the core, innovating a new low-carbon ecological model in the industry, creating a systematic support for a smart ecological platform, forming a sustainable development ecological operation model, and meeting the needs of wisdom Environmental protection, smart urban and rural areas, smart water conservancy, smart water affairs and other multi-industry low-carbon strategic development requirements, create considerable economic, social and ecological benefits, and promote green and low-carbon sustainable development.

Relevant Sampling Factors

Type of Work: For management application system and platform system.

Sampling Factor Values

Management application: Management application software for managing and monitoring a specific industry domain application.

Platform system: A generic platform that provides functions for customer to develop their own applications.

Subgroups

SG-1

SG-2


Domains

Development

Maturity Level

3
CAR
Satisfied
CM
Satisfied
DAR
Satisfied
EST
Satisfied
GOV
Satisfied
II
Satisfied
MC
Satisfied
MPM
Satisfied
OT
Satisfied
PAD
Satisfied
PCM
Satisfied
PI
Satisfied
PLAN
Satisfied
PQA
Satisfied
PR
Satisfied
RDM
Satisfied
RSK
Satisfied
TS
Satisfied
VV
Satisfied