China Merchants Securities Co.Ltd(600999)
about
Beijing 3D Tiandi Science & Technology Co.Ltd(600582) IPO and listing on GEM
of
Listing recommendation
Sponsor (lead underwriter)
No. 111, Fuhua 1st Road, Futian street, Futian District, Shenzhen
Shenzhen Stock Exchange:
Beijing Sanwei Tiandi Science & Technology Co.Ltd(600582) (hereinafter referred to as the “issuer”, “company” or “Sanwei Tiandi”) intends to apply for initial public offering and listing on the gem (hereinafter referred to as “this securities offering” or “this offering”), and has hired China Merchants Securities Co.Ltd(600999) (hereinafter referred to as ” China Merchants Securities Co.Ltd(600999) “) as the sponsor of this offering (hereinafter referred to as “sponsor” or “this institution”).
China Merchants Securities Co.Ltd(600999) and its sponsor representatives have, in accordance with the company law of the people’s Republic of China (hereinafter referred to as the “company law”), the securities law of the people’s Republic of China (hereinafter referred to as the “Securities Law”) and the measures for the administration of the registration of initial public offerings on the gem (Trial) (hereinafter referred to as the “Registration Measures”) Shenzhen Stock Exchange GEM Listing Rules (revised in 2020) (hereinafter referred to as “Listing Rules”), measures for the administration of securities issuance and listing recommendation business (hereinafter referred to as “measures for the administration of recommendation business”) and other laws and regulations, China Securities Regulatory Commission (hereinafter referred to as “CSRC”) and Shenzhen Stock Exchange (hereinafter referred to as “SZSE”), being honest, trustworthy, diligent and responsible, this listing recommendation letter is issued in strict accordance with the business rules, industry self-discipline norms and ethical standards formulated according to law, and the authenticity, accuracy and integrity of the documents issued are guaranteed.
Unless otherwise specified in this listing recommendation letter, relevant terms have the same meaning as in the prospectus of Beijing Sanwei Tiandi Science & Technology Co.Ltd(600582) initial public offering of shares and listing on GEM.
1、 Basic information of the issuer (I) basic information of the issuer
Company name: Beijing 3D Tiandi Science & Technology Co.Ltd(600582)
English Name: Beijing Sunwayworld Science & Technology Co., Ltd
Legal representative: Jin Zhen
The registered capital is 58 million yuan
Registered address: 601, No. 11, caihefang Road, Haidian District, Beijing
Date of establishment: July 3, 1995
Change to a joint stock limited company on September 24, 2019
Postal Code: 100080
Tel: 010-52250988
Fax 010-52970350
Company website http://www.sunwayworld.com.
E-mail [email protected].
Information disclosure and coordination investor relations department Securities Department
Contact Peng Wei
Tel: 010-52970352
（2） Main business of the issuer
The company is a software development service provider focusing on the field of inspection and testing informatization and data asset management. It is committed to providing customers with overall informatization solutions and related software products and services.
The company’s main business is the R & D, sales and implementation of application software products such as inspection and detection informatization and data asset management, and provides relevant technical services. The company’s products are widely used. It has successively provided professional services such as inspection and testing informatization and data asset management for many provincial and municipal CDCs, food and drug supervision departments, environmental protection departments, market supervision and management departments, as well as China Petroleum & Chemical Corporation(600028) , Minmetals Group, national energy group, Zte Corporation(000063) , Byd Company Limited(002594) , yijiaju and other large enterprise groups, It occupies a certain market position in the field of inspection and testing informatization in China.
The company’s main products include inspection and testing information management software, data asset management software, supply chain management software and technical services. The brief description of each type of product is as follows:
Brief description of business classification
It can provide inspection information for government regulatory departments, production-oriented enterprises, professional inspection and testing institutions, manage the comprehensive information management of relevant resources, data and processes in the inspection process, optimize the management software process, effectively ensure the compliance requirements of inspection data, and significantly improve the work efficiency of the inspection and testing process
Brief description of business classification
Data asset management software helps customers establish a standardized data management system to ensure the accuracy, integrity, consistency and effectiveness of data, realize the connection of data between different information systems, reduce customer data management cost and data complexity, improve data value, and realize the asset management of data
Assist enterprises to realize the effective connection of key business links in the procurement supply chain, support the management requirements of unified supply chain management software and unified procurement, support multiple modes such as centralized procurement and hierarchical procurement, realize the efficient collaboration between enterprises and suppliers, and improve the operation efficiency of procurement business process
Provide technical services such as process optimization and management consulting of inspection and testing institutions, technical service management consulting of data asset management of large group enterprises, procurement and supply chain management consulting, operation and maintenance and on-site support of large group enterprises
（3） Core technology of the issuer
The company has formed four series of core technologies during the R & D of inspection and detection information products, including inspection and detection cloud platform technology, inspection and detection platform technology, data analysis and insight technology, and inspection and detection professional application technology. Among them, the key core technologies include big data analysis engine technology, laboratory information management technology, visual interface development technology, electronic laboratory Notepad technology, scientific data management technology, data acquisition and monitoring technology.
Introduction of core technology and technology characteristics and advanced nature
The technology meets the requirements of GB / t15481 calibration, combined with the humanized business of the laboratory, the design, development and configuration of the general capabilities of the inspection and testing laboratory, laboratory information and verification process management, comprehensive resource management, process monitoring and quality requirements, complies with ISO / 17025, GLP and other information management technology management, and realizes the standardization of laboratory data processing, collection, analysis and laboratory quality system. Scientific and technical review, storage, reporting and statistical analysis. Technical achievement evaluation (zkpz [2019] No. 3465) this achievement level is leading in China.
Introduction of core technology and technology characteristics and advanced nature
ELN enables the electronic experiment in each step of the process to automatically collect data from the analytical instrument, realize data import, and have complete electronic records, ensure that all requirements information and technical transmission are recorded and verified in each step of Notepad entry, content link, format and user-defined template and message in each room, and map standard operating procedure information in the form of electronic worksheet, All required supporting information will be recorded in all steps and processes specified in the (ELN) (SOP) in a manner that fully complies with the requirements of the specification guidelines.
Create a public SDMs for laboratory data, which can process unstructured files, such as images and electronic repositories. It can further integrate with specific item scientific data tables, original instrument files and PDF files, and convert their processing purpose, experiment or location or their combination into structured data, so as to realize document collection, intelligent analysis and self connection, Or its data can be simply stored (SDMs) to dynamically identify charts, keys and tables, and the storage files of data and metadata for long-term storage, mainly for information query and use. Integrate data and manage knowledge-based assets.
It can integrate the instrument and equipment data related to monitoring and data acquisition into hundreds of instrument interfaces, line connection, customize the interface types, including serial port, file reading, including large instruments, physical optical instruments, instrument data access, web service services, etc., and provide calibrators, element analysis instruments Template setting of file reading content in the format of electrochemical credit collection technology system, and identification of protocol analysis instrument, biochemical and molecular biological instrument; It can realize complete interface integration, definition, configurability, implementation, etc., and realize seamless integration with peripheral platforms, and automatic acquisition of instrument data. Yes.
By separating the configuration development designer from the system operation, the business visualization community and the development form and user interface can be realized through the development configuration technology, such as window management, flexible visualization of form fixed process, intelligent surface development control, menu management, etc; At the same time, through the workflow definition, design and configuration that can be set by the secondary development tool, a variety of flexible customized component engines are designed by key technology, such as visual workflow, which realizes the customizable engine, report engine, instrument interface engine, electronic document introduction, scalability and integration based on business process.
Qing et al.
A variety of data mining algorithms are embedded in the engine to provide a variety of flexibility
The traditional data analysis methods, machine learning algorithms and learning algorithms of deep learning support analysis, prediction and decision models are used for data analysis. Support frequency analysis, mean value, establishment, and calculation of data by using various models, calculation of large data fractional variance, correlation analysis, hypothesis test, intersection, union and method, as well as traditional data analysis methods such as difference set, correlation and de duplication of data analysis engine; Support source for reasonable and effective analysis and utilization of linear model, decision tree, random forest, SVM and Bayesian. Implement machine learning algorithms such as logic classifier, K-means, principal component analysis and so on; The combination and prediction provides support for accurate business support and deep learning and decision-making of CNN, RNN, LSTM, Gan, etc.
Law.
Build a standard classification knowledge base to improve the way and efficiency of knowledge-based standard knowledge element modeling, knowledge base components and knowledge acquisition. By solving the strategy generation through knowledge standard identification reasoning, the knowledge base is constructed for the identification elements of various standard identification policies, so as to ensure the generation of strategy generation strategy. The generation of standard identification strategy can make the technology execute correctly and effectively by judging the knowledge element through rules, and support the generation of standard identification strategy at different granularity levels. Use. Provide knowledge base acquisition function to ensure that the knowledge in the knowledge base can be filled
