CC BY
12APPLICATION ANALYSIS OF BIG DATA TECHNOLOGY IN MODERN SERVICE INDUSTRY
Peng Xinge, PhD Researcher Samarkand State university
Abstract. At this stage, the big data platform has the advantages of data sharing, information exchange, resource integration, etc., and plays a vital role in improving the service efficiency of the science and technology service industry. Based on this, on the basis of summarizing and discussing the existing problems of the technology service industry, this paper analyzes the application of blockchain big data technology to build a big data platform for the technology service industry, and analyzes and summarizes the operation mode of the platform according to the service efficiency problems of the technology service industry, so as to promote science and technology. development of the service industry.Starti'ng from the issue of service efficiency in the technology service industry, this study integrates information sharing into the technology service industry at the big data level, and explores the operating mechanism of the big data platform in the technology service industry. The aim is to integrate the platform's technology information resources, achieve industry data sharing, improve service efficiency, accelerate the development of the technology service industry, and promote the rise of the post pandemic economy.
Key words: technology service industry; service efficiency; big data
INTRODUCTION
The science and technology service industry refers to the service industry that uses scientific knowledge, technology and other elements to provide the society with advanced intellectual achievements, and belongs to the category of the tertiary industry. With the rapid development of the economy, the role of the science and technology service industry in rationally integrating resources, accelerating information transmission, and promoting the transformation of achievements has become increasingly prominent . Improving the overall level of the science and technology service industry is conducive to accelerating the rapid development of the economy. The improvement of the service efficiency of the technology service industry is related to the business capabilities, technical skills, and industrial scale of technology service companies. Therefore, improving the service efficiency of the technology service industry is an important part of improving the level of the entire industry and promoting economic development. With the rapid development of emerging technologies such as blockchain and big data, information sharing has provided an opportunity for the development of the technology service industry. Traditional information and data platforms lack flexibility, making it difficult to quickly respond to the current exponentially growing industry data; therefore, in In the context of the rapid development of technology and its integration into the service industry, the establishment of a big data platform for the technology service industry is an inevitable requirement for economic development, and it is urgent.
In recent years, with the rise of the science and technology service industry, some scholars have conducted research on the efficiency of science and technology services, which can be roughly divided into three categories: model-based service efficiency research, evaluation index system-based service efficiency research, and data-based service efficiency research. Although the research focus of different research methods on the technology service industry is different, they all show the efficiency of the technology service industry. From the perspective of the local science and technology service industry, the efficiency of science and technology services varies greatly, and regional development is uneven; from the perspective of the world, the efficiency of science and technology services is generally low, and the existing production factors have not been fully utilized and exploited .
Starting from the issue of service efficiency in the technology service industry, this study integrates information sharing into the technology service industry at the big data level, explores the operating mechanism of the big data platform in the technology service industry, and uses blockchain technology to construct a theoretical framework and application model of the big data platform, including technology service enterprises, governments, technology enterprises, and other industries. The aim is to integrate the technology information resources of the platform and achieve industry data sharing,
In order to improve service efficiency and accelerate the development of the technology service industry.
RESEARCH PART
1 Operational analysis of existing technology service industry models and big data platforms
(1) Existing model of technology service industry
Taking China as an example, Qingpu Park in Zhangjiang National Independent Demonstration Zone has established an industry-university-research collaborative innovation platform with East China University of Science and Technology since 2013, which has solved various needs such as technical problems, talent training, and platform carriers for many local enterprises. In 2012, the trial of patent custody work has been carried out, and after years of exploration and operation, a clustered custody model has been formed in the park, and the industry innovation ability has been improved. The scientific and technological innovation service platform has been launched nationwide. The platform's scientific and technological consulting is regarded as the core of service enterprises, and a unique service platform and consulting system have been created, providing a perfect, convenient and Professional new channel. Shanghai has formed a scientific and technological service framework system with specialized service, diversified investment, and cross-regional service, which has played a good role in driving and radiating. Beijing has formed the development model of Zhongguancun. First, it has gathered a large number of high-level scientific and technological service institutions to build a good innovation and entrepreneurship ecosystem with good policies; , the service is developing in the direction of "high-end, sophisticated" .
The existing technology service models have brought a qualitative leap to the relevant technology service enterprises or institutions, but some aspects still need to be improved. In the implementation process of the industry-university-research collaborative innovation platform, due to the difficulty of the internal scientific research personnel of the enterprise to effectively connect with the universities and scientific research institutions in terms of professional knowledge and innovation ability, the cooperation and innovation power of all parties is insufficient, so strengthen the technology service enterprises and technology service enterprises. Information sharing and communication with universities and research institutes are crucial.
(2) Operation of big data platform in service industry
The big data platform for the technology service industry is based on the premise of improving the service efficiency of the technology service industry, and integrates the three elements of blockchain, the Internet, and big data into the technology service field to realize data sharing, resource docking, problem tracking and processing, business cooperation and Integration, improve the efficiency of science and technology service industry, and promote economic development. The operation mechanism of the big data platform in the technology service industry driven by blockchain is shown in Figure 1.
Figure Is Big data platform in technology service industry driven by blockchain
Source: Song Chunhong. Design of a big data platform for the technology service industry under the blockchain architecture based on service efficiency improvement. Future and Development, 2020-07 The big data platform can process the acquired massive industry data into information with actual market value, store and integrate resource information through each node of the blockchain, and finally realize any point-to-point data transmission to realize data resource sharing.
The platform provides guarantee for enterprise interaction and data sharing through the interrelated operation of different system frameworks. The data processing system uses a distributed method to process and integrate the collected data, set data open permissions, and ensure the security of access and processing data; the management system can provide personalized dynamic service modes and processes according to different application objects of the platform Management mode; analysis and decision-making functions are based on the results of internal data analysis of the platform to realize functions such as personalized service decision-making and tracking; the platform interaction system is the medium for realizing the communication between the client and the platform server, through which the platform resources can be directly invoked, Realize the interaction between the client and the platform. The platform provides information exchange, demand docking, problem tracking and other functions for related enterprises, institutions and institutions to improve the efficiency of scientific and technological services.
Based on this, this paper proposes to use blockchain technology combined with big data to design a big data platform for the technology service industry, provide security for the platform with the core technological advantages of blockchain, and integrate technology service companies, technology companies, governments and other related industries into it. , using big data to achieve effective information sharing, interaction and cross-departmental cooperation within the platform, and achieve the following goals: First, to form a complete and effective information exchange channel, to ensure the smooth and effective communication within the industry, to enhance the organization's motivation for cooperation, to promote The development of the science and technology service industry; the second is to promote the coordinated development of the science and technology service industry. Through the database, the backward regions can form the sharing of information, resources, equipment, etc. with the developed regions to promote coordinated development.
2 Integration of big data platforms into technology service industry architecture and models
(1) Theoretical framework
The platform is based on blockchain technology and integrates multiple participants related to technological services to form a complete information exchange and sharing service platform. Generally speaking, the blockchain system includes the basic modules of the data layer, the core modules including the network layer, the consensus layer, the incentive layer and the contract layer, and the interaction module including the application layer.
Data layer: The data layer is the data source of the platform, providing basic data storage functions for the system, that is, storing the acquired technology service data in blocks based on Merkle trees, and relying on hash functions, asymmetric encryption and other cryptography Technology realizes the security of account transactions.
Network layer: Blockchain is a decentralized network structure with point-to-point transmission. All data resources and services in the system are distributed on each block node, and information is transmitted and intercommunicated through the connection of each node. When the information is obtained, it will be transmitted to all other blocks, and any node on the network can verify the information of the new block, which ensures that the block data is highly credible and that the information on all chain nodes is shared.
Consensus layer: The consensus layer is the basis for each block to reach a rapid consensus and encapsulates various consensus mechanisms. The current mainstream consensus mechanisms include Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance, PBFT).
Incentive layer: The existence of the incentive layer is to use incentives to enable each participating node to actively participate in the security verification of block information while realizing resource sharing between nodes, which reflects the economic attributes of the origin of the blockchain. Incentive means include issuance mechanism, distribution mechanism, etc. The issuance mechanism can be regarded as the allocation of resources, and the allocation mechanism can be regarded as the coordination of related resources.
Contract layer: The contract layer includes a series of script codes, algorithm mechanisms and smart contracts. The system implements a custom smart contract through programming. Only when the
transactions generated in the system meet the requirements of the agreement will the operation be performed, so that the entire system will run automatically under pre-set conditions, so as to ensure the rights and obligations of all participants. .
Application layer: It encapsulates various application scenarios and cases. These application objects have programmable characteristics, and appropriate programming languages and consensus mechanisms can be selected according to specific application objects and application scenarios. The application layer is the medium for participating members to interact with the platform, as well as the carrier for direct information exchange between members.
(2) Operating mechanism
The technology service industry big data platform is based on improving the efficiency of technology service industry services, integrating information and communication technology, the Internet, and big data into the technology service field to achieve data sharing, resource docking, problem tracking and processing, business cooperation and integration, and accelerate the development of the technology service industry. The operating mechanism of the big data platform in the technology service industry driven by information and communication technology is shown in Figure 2.
The big data platform can process the massive industry data obtained into information with actual market value, store and integrate resource information through various nodes in information and communication technology, and ultimately achieve any peer-to-peer data transmission, achieving data resource sharing.
The platform provides guarantees for enterprise interaction and data sharing through the interconnected operation of different system frameworks. The data processing system utilizes a distributed approach to process and integrate collected multivariate data, setting open data permissions, and ensuring the security of accessing and processing data; The management system can provide personalized dynamic service modes and process management methods based on different application objects of the platform; The analysis and decision-making function is based on the internal data analysis results of the platform, achieving personalized service decision-making and tracking functions; The platform interaction system is a medium for communication between clients and platform servers. Through this system, platform resources can be directly invoked to achieve interaction between clients and platforms. The platform provides information exchange, demand docking, problem tracking, and other functions for relevant enterprises, institutions, and institutions, improving the efficiency of technological services.
Figure 2 : Operating Mechanism of Big Data Platform in Technology Service Industry
Big data platform for science and technology service industry
(3) Application model
The rapid development of information technology such as big data not only affects people's thinking pattern, but also changes the operation mode of scientific and technological services. The application model of the big data platform is displayed in the form of a database. Since the blockchain itself is a distributed database, the data collected by each node is stored in the block, so in the construction of the platform, each block that collects different data is used as the The database realizes the function, and stores information in different directions of the technology service industry in different databases. The platform data includes not only the industry internal data of technology service companies, but also the external data of the technology service industry and the government, technology companies and other related industries. Due to the particularity of the data, these data have both public components and internal corporate data Therefore, the platform is built in the form of a consortium chain. According to different situations, different read and write permissions and identity authentication portals are opened to ensure the privacy of data while ensuring information sharing.
The big data platform of science and technology service industry includes basic database, business database, problem database, joint development database and interactive database of science and technology service industry. Each database is independent of each other and communicates with each other. Retrieval; the interconnection of the database ensures the comprehensive improvement of information, and industry information can be shared within the block in a timely manner.The big data platform application model based on blockchain technology is shown in Figure 3.
Figure 3 Application Model of Service Industry Big Data Platform Based on Information Chain Technology
P rovi d e
¡and processing s Ljjap«rrt —
c
formation an commun icatioi systems
Basic database Enterprise database Interactive database Linkage database Problem database
Technology service industry
efficiency
Basic database of science and technology service industry: The basic database stores the basic information of enterprises such as enterprise scale, basic composition, service direction, enterprise market dynamic information, and professional and fair market rating of science and technology service enterprises. This information can be used by enterprises in need to quickly understand the technology. The basic information of the service enterprise so that you can make a more reasonable choice.
Technology service industry business database: Store business-related information of technology service enterprises in the business database, such as innovation and entrepreneurship incubation information, technological achievement transformation and appraisal information, professional technology services, investment and financing information, etc. The database stores the professional information of related enterprises The records are required to be accurate and updated in a timely manner, so that the service object can fully understand the professional profile of the enterprise and seek targeted professional services.
Technology service industry problem database: Collect and save the problems encountered by the technology service industry, as well as suggestions and countermeasures to solve them. The database is networked and communicated with government departments. The government departments cooperate with enterprises to provide enterprises with solutions and suggestions for solving problems. The service departments under the government summarize, analyze and summarize relevant problems and solutions, and cooperate with technology service enterprises Track, supervise and report the implementation of the plan and the effect of the solution together.
Linkage Development Database: The ever-changing market demand is the driving force for industrial linkage. Linkage development database is equivalent to the technical information exchange platform between industries, storing the case process information of industrial linkage. For example, in today's changing social environment, the technology service industry has formed a technological alliance with manufacturing and agriculture, and is committed to technological upgrading. Industrial innovation helps the manufacturing industry adapt to market changes in the changing environment, and uses databases as a support method to carry out Exchange of technology and information.
Interactive database of science and technology service industry: The interactive database is mainly used for the feedback and use of science and technology service enterprises and service objects. The database collects post-service service evaluation and improvement suggestions of service objects; Consider, this database collects the pertinent suggestions of ordinary enterprises to improve the level of the technology service industry, and the technology service enterprises self-check the loopholes of their own enterprises according to the suggestions to make corrections, so as to improve the level of the enterprise.
3 Application analysis of big data platform in technology service industry
(1) The big data platform realizes the sharing of information resources.
The platform takes the technology service industry as the core to store the basic business information provided for the service object, the problem improvement information with the government, the cooperation and exchange of information with the cooperative industry and the feedback information of the interaction with the service object, and the application of blockchain technology to realize data sharing, Ensure the information symmetry of each participating node, prevent service lag due to unequal industry information, and realize the transmission of information between each node, forming a perfect and interoperable sharing channel, and improving the service efficiency of science and technology.
(2) The big data platform implements source data supervision.
The supervision and access system is the core of the operation of the platform. Its function is to supervise and certify the collected data to ensure that the data source can technically meet the network access standards, so as to do a good job in information screening, privacy protection and harmful information shielding at the source. wait for work.
(3) The big data platform ensures data security.
Blockchain encryption technology and decentralized structure ensure the security of data. Platform data is encrypted by cryptographic technologies such as hash function and asymmetric encryption, and the data is distributed on each node. The data of a single node cannot be changed. It will affect the
correctness of the entire system data, effectively strengthen the security of information exchange between platform participants, help solve data security problems, improve the quality of enterprise cooperation, and improve service efficiency.
(4) The big data platform facilitates the refinement and improvement of relevant laws and regulations.
There are relevant government departments involved in the implementation of the platform. The business stagnation caused by the lack of detailed macro policies can be reported in a timely manner, and tracking assistance from relevant departments can be sought. While solving problems in the technology service industry, it can accelerate the improvement of the details of relevant laws and regulations. .
(5) The big data platform accelerates the development of the industry.
The establishment of a big data platform can speed up the development of related industries centered on the technology service industry. Different databases are set up within the platform for different situations. On the one hand, technology service companies can refer to, make up for their business weaknesses, gain market share, and help companies. Establish a good image and speed up the development of the technology service industry; on the other hand, it can help the development of the linkage industry, and strengthen the connection with the linkage industry in the mode of platform interaction, which not only increases the flexibility of the technology service industry, but also accelerates the manufacturing, agriculture and other related industries. development of.
(6) The big data platform reduces the cost of operation and maintenance deployment.
The big data platform is built with blockchain technology, which reduces the process of traditional data platform single-center storage of records, supervision of transactions, etc., improves operation and maintenance efficiency, and reduces management costs. Deployment can effectively solve the cost of server deployment, so as to expand the coverage of the platform, realize the joining of cross-regional enterprises, drive backward regions with developed regions, and provide a guarantee for the effective scale expansion of the technology service industry.
CONCLUSION
With the rapid development of the economy, big data is an inevitable trend of social development. The development of scientific and technological services should not only seize the opportunities brought by industry adjustment, but also rely on the advantages of new information technology to achieve rapid development of the industry. Based on the consideration of the efficiency of scientific and technological services, this paper analyzes the theoretical system architecture and application model of a big data sharing platform for the scientific and technological service industry using blockchain big data technology, starting from the current scientific and technological service model. The functions of industry interaction, problem tracking and communication and cooperation provide theoretical guidance for the improvement of service efficiency of the technology service industry and the development of the industry.
Starting from the service efficiency of the technology service industry, this paper integrates information sharing into the technology service industry at the big data level, discusses the operating mechanism of the big data platform for the technology service industry, and uses blockchain technology to build technology service companies, governments, and technology companies. As well as the theoretical framework and application models of big data platforms in other industries, it aims to integrate the platform's scientific and technological information resources and realize industry data sharing, thereby improving service efficiency and accelerating the development of the technology service industry.
REFERENCES
Li Xiaolong, Ran Guanghe, Zheng Wei. Spatial agglomeration of science and technology service industry and improvement of enterprise innovation efficiency: empirical evidence from China's hightech industry [J]. Research and Development Management, 2017,29(04):1-10.
Wang Peng, Zheng Jingyu. The impact of scientific and technological service efficiency on the transformation and upgrading of industrial structure and its spatial spillover effect [J]. Research and Development Management, 2018,30(02): 46-60.
Zhao Yonghui. Exploring the idea of scientific and technological service reform under the background of supply-side reform [J]. Research on Science and Technology Management, 2017,37(09):44-51.
Li Guoqiang. Reflections on promoting the development of Shijiazhuang's science and technology service industry under the background of Beijing-Tianjin-Hebei collaborative innovation [J]. Industry and Technology Forum, 2019,18(17):20-23.
Lai Xiaonan, Li Chunling. The scientific and technological service industry supports Zhongguancun's path to build a "high-end" economic structure [J]. High Technology and Industrialization, 2015(05):99-101.
Cheng Lin, Zhu Xiaofeng, Lu Jingjun. Research on the model of shared logistics information platform based on big data [J]. Science and Technology Management Research, 2018,38(15):234-238.
Yang Huiqin, Sun Lei, Zhao Xichao. Construction of a mutual trust and win-win supply chain information platform based on blockchain technology [J]. Science and Technology Progress and Countermeasures, 2018,35(05): 21-31.
