Informatization Level Research Articles

Digital Analysis of Human Resources Archives Based on Network Information Security

With the rapid development of information technology, human resource file management is gradually moving towards digital transformation. Digital management is an important part of enterprise archives construction. The application of digital technology to gather information and build a complete human resource archive analysis database can effectively promote the informatization level of enterprise archives, improve work efficiency, and provide strong support for enterprise development and decision-making. However, digital transformation also brings a series of challenges, such as network information security, data sharing, and technical standards, which need to be addressed. This paper aims to explore the significance, and point out the existing problems, put forward management optimization measures in enterprise archives management under the background of information technology through literature research, to provide some theoretical and practical references for the digital transformation of enterprise human resources archives.

Research on a Data-Driven Modeling Method for Precast Concrete Balcony Components

In this paper, a data-driven modeling method for precast concrete (PC) balcony components was proposed to solve the problems of low informatization and the difficult modeling of components at the design stage. Through the analysis of the characteristics of PC balcony components and the combination of modular design methods, the paper designed a data structure for the components and developed a data-driven modeling tool for PC balcony components that can realize the input of structural design data, automatically generating component models. First, this paper introduced the data-driven modeling concept and the modeling process. Second, the PC balcony components in common prefabricated residential projects were analyzed to identify their characteristics. By using a modular design approach, these components were divided and a module dataset was created based on the split modules. Consequently, a data structure for the prefabricated balcony component model was established, wherein both conventional parameters and adaptive parameters between modules were interrelated. Finally, the function of data-driven modeling was achieved by developing a modular design tool on the Revit platform using the C# programming language. The application conducted on a prefabricated building project demonstrated that the software tool and modeling method in this paper effectively improve the level of informatization and modeling efficiency of PC balcony components. The modular design approach was satisfied with the standardization and diversification requirements of balcony components, thereby offering insights for modeling other complex components.

Retracted: Research on Evaluation Model of Hospital Informatization Level Based on Decision Tree Algorithm

Retracted: Research on Evaluation Model of Hospital Informatization Level Based on Decision Tree Algorithm

Methodology for Assessing the Level of Digitalization of the Construction Industry

As part of the study, a methodology was developed to assess the level of digitalization of the construction industry based on an analysis of the specifics of the functioning and process of introducing digital technologies into the work of construction organizations, as well as the existing methodological framework for assessing the level of use of digital technologies in various economic systems offered by international companies. The methodology is based on the current algorithm for introducing digital tools into the work of construction companies, which simultaneously reflects all stages of the life cycle of construction projects and the trend towards increasing the degree of digital interaction. The composition of the enlarged components of the digitalization level includes: the level of informatization of activities (the use of classical information systems and tools) of construction organizations, the level of digitalization of key management areas (design, construction of facilities, operation, control) of construction organizations and the level of digital interaction of construction organizations within the internal and external environment. The scientific novelty of the methodology lies in the adaptation of classical scientific approaches to the specifics of the construction complex with the simultaneous substantiation of the assessment system, which allows not only to establish the general level of digitalization, but also to identify the least digitalized areas, and also to determine at what stage of the transition to a digital model are individual construction organizations.

The Exploration of the Application and Management of Project Cost in Smart Buildings Using BIM Technology

In recent years, the slow development of engineering construction management in China has been attributed to outdated management models and low level of informatization. To address the deficiencies in project cost management, relevant departments have proposed the application of BIM technology. BIM technology encompasses a wide range of areas, including planning, construction processes, and cost management. It enables the simulation of these processes to create dynamic real-time building models. Additionally, BIM technology facilitates the rapid transmission of various information during the construction process, thereby improving the overall efficiency of the construction project. Information technology has become ubiquitous in people’s daily lives, and this foundation has led to the emergence of smart buildings. The operation and development of smart building projects require effective project cost management. Accurate cost estimation can help construction enterprises effectively control project costs and increase economic benefits. However, many companies still rely on traditional methods such as manual measurement based on drawings, bill of quantities, or engineering rates, which often lead to calculation errors. The application of BIM technology in project cost management can help alleviate this problem.

The impact of open government data on entrepreneurial activity: a quasi-experiment with machine learning

ABSTRACT Open government data (OGD) is a philosophy advocating for the public release of government-held data to citizens and stakeholders. While numerous countries are increasingly adopting this approach, empirical evidence regarding its impact on entrepreneurial activity remains limited. Our study utilizes a difference-in-differences (DID) approach to rigorously assess the causal effect of OGD on entrepreneurial activity and its underlying mechanisms. Additionally, we employ a machine learning technique, Causal Forest, to delve into the pivotal city characteristics that shape OGD’s impact and to assess how these features moderate its effects. Our findings reveal a significantly positive effect of OGD on entrepreneurial activity, primarily driven by its capacity to enhance government efficiency, foster venture capital, and promote technical innovation. Furthermore, we identify sci-tech investment and informatization level as critical city characteristics that positively moderate the impact of OGD.

Manifold Structure Analysis of Tactical Network Traffic Matrix Based on Maximum Variance Unfolding Algorithm

As modern weapons and equipment undergo increasing levels of informatization, intelligence, and networking, the topology and traffic characteristics of battlefield data networks built with tactical data links are becoming progressively complex. In this paper, we employ a traffic matrix to model the tactical data link network. We propose a method that utilizes the Maximum Variance Unfolding (MVU) algorithm to conduct nonlinear dimensionality reduction analysis on high-dimensional open network traffic matrix datasets. This approach introduces novel ideas and methods for future applications, including traffic prediction and anomaly analysis in real battlefield network environments.

Analysis on How Digital Government Promotes Rural Revitalization

Rural revitalization is an important strategy for Chinas development. As a product of the digital age, digital government plays an irreplaceable role in the promotion of rural revitalization. Therefore, exploring the application of digital government in rural revitalization is an urgent problem to be solved. The purpose of this study is to explore how digital government promotes rural revitalization, analyze the application and advantages of digital government in rural revitalization, analyze the case of digital government in rural revitalization, and summarize the problems and future prospects of digital government in rural revitalization. This paper uses the method of combining literature research and case analysis to conduct in-depth research on the application of digital government in rural revitalization. This study found that digital government has great advantages in rural revitalization, which can promote the improvement of informatization level, the development of industry, the realization of urban-rural integration. At the same time, there are still problems such as imperfect information and communication infrastructure and information differentiation in the rural revitalization of digital government. In the future, digital government still needs to continuously improve its own construction and application in order to promote the implementation of the strategy of building a socialist modern country in an all-round way. The research results of this paper have important guiding significance for deepening the application of digital government and promoting the realization of rural revitalization.

The Optimization of Digital Currency Electronic Payment in RMB Based on Big Data and Fuzzy Theory

Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.

Application analysis and evaluation of BIM in engineering design and construction stages

With the development of modern engineering technology, more attention is paid to the aid of digitization and information in the process of engineering project design and construction. Building Information Model (BIM) realizes the transformation from traditional building project to modern building project. At the same time, it also greatly promotes the digital development of construction projects. BIM technology as a modern information technology in the application of construction engineering, has a variety of benefits. For example, it can improve the quality of projects. In addition, the application of BIM technology in the whole process of construction projects can reduce costs and improve efficiency. However, there are many risks associated with using BIM in construction projects. This paper analyzes the advantages of BIM technology in visualization and coordination, and the application of BIM in design, construction, management and other aspects. Then, the risks and countermeasures in BIM application are discussed. The research results are of great significance to improve the informatization level of construction projects.

Can environmental non‐government organizations promote firms' environmental innovation? The role of environmental regulation and informatization level

AbstractEnvironmental non‐governmental organizations (ENGOs), as important civil society organizations in the environmental arena, play a role in promoting firms' environmental behavior. Based on institutional theory, this study constructed a relationship model among environmental ENGOs, environmental regulation, informatization level, and environmental innovation. Using data from 31 provinces in China from 2010 to 2021 as research samples, this study investigated the impact of ENGOs on firms' environmental innovation, as well as the mediating role of environmental regulation and the moderating role of the informatization level. The results showed that ENGOs had a positive effect on firms' environmental innovation, and the informatization level negatively moderated the impact of ENGOs on firms' environmental innovation, but environmental regulation did not play a mediating role in the relationship between ENGOs and firms' environmental innovation. Based on the conclusions, this study suggests leveraging the role of ENGOs, strengthening the power of environmental regulation, and improving the informatization level to drive firms' environmental innovation.

The impact of informatization on the urban-rural income gap: An empirical investigation of China

Informatization has changed people's production and lifestyle through the application of information technology, which provides a breakthrough point for solving the urban-rural income gap problem. This paper uses panel data of 30 provinces in China from 2011 to 2020 to measure the level of information technology development in each province of China using the entropy-weighted TOPSIS method and empirically tests the impact and mechanism of the level of information technology on the urban-rural income gap through a panel effects model. It is found that: the level of informatization significantly reduces the urban-rural income gap, and the results still hold after robustness tests; the level of informatization may indirectly affect the urban-rural income gap through technological progress; there is significant regional heterogeneity in the level of informatization development on the urban-rural income gap, with the degree of influence showing a decreasing trend from the eastern coast to the western inland.

Data-driven urban rail vehicle critical parts maintenance system based on cloud-edge collaboration

In view of the limitations of traditional maintenance methods for rail vehicles, this study proposes a data-driven maintenance system for critical parts of rail vehicles based on a cloud-side collaborative framework. Currently, there are several major issues with the maintenance of critical parts of rail vehicles, including long maintenance cycles, difficult troubleshooting, high maintenance costs, low maintenance efficiency, irregularities in data management, and a low level of informatization. To address these problems, a cloud-edge collaboration approach is adopted. The maintenance information of the vehicles is synchronized and exchanged in real-time with the cloud data center. Sensor and Internet of Things (IoT) technologies are used to collect real-time operational and status data of rail vehicles. The data is then analyzed and modelled in the cloud data center. The system achieves fault prediction and remaining useful life prediction for key components of the rail vehicles by applying machine learning algorithms. The experimental results demonstrate that compared to traditional maintenance methods, the system enables more effective troubleshooting and remaining useful life prediction of critical components of the vehicles. It improves maintenance efficiency and safety while also offering practical application value.

Can industrial transfer improve urban innovation efficiency?

Investigating whether industry transfers to different cities and regions contribute to innovative efficiency improvement is a critical issue in addressing the development of urban innovation. Using the implementation of national industrial relocation demonstration zones (NIRDZ) in China as a quasi-natural experiment, this study empirically assesses the impact of industrial relocation upon urban innovation efficiency. This study first measures the urban innovation efficiency of 194 prefectural cities during 2005–2019 using a two-stage data envelopment analysis model. Then, a multiperiod difference-in-differences model is used to evaluate the innovation effects of national-level demonstration zones for undertaking industrial transfers. The results are as follows. First, industrial relocation does contribute to urban innovation efficiency. This conclusion is supported by a series of robustness tests confirming that the NIRDZ pilot policy indeed contributes to this efficiency, including a placebo test, propensity score matching, shortened time window, winsorized outliers, and lag treatment. Secondly, a regional heterogeneity analysis shows that the pilot policy significantly promotes innovation efficiency of cities located in the central region, but there is an insignificant effect in western region cities. The analysis of city size heterogeneity shows that the pilot policy promotes innovation efficiency more significantly in small cities. In contrast, the promotion effect on big cities is not significant. Third, when considering the potential impact mechanisms, the NIRDZ policy positively affects urban innovation efficiency by enhancing the informatization level and improving economic development. Based on the analysis above, this study recommends establishing an effective mechanism for industrial transfer, realizing the transfer between different regions and cities according to local conditions, and deepening the NIRDZ policy implementation. Policymakers should also increase investment in the construction of an informatization platform, plan resource usage rationally, promote regional integration development, change the philosophy of education, and recognize how the NIRDZ policy influences urban innovation through economic development and informatization.

Digital Smart Manufacturing Context Urban Street Space Design Landscape Elements Retrofit Analysis

INTRODUCTION: With the growth of the economic level, China's urban residents' urban living standards are also increasingly high, which has produced the story of an urban street space design to improve the requirements. Moreover, with intelligent manufacturing and other computer technology to enhance the efficiency of various industries, smart manufacturing applied to urban spatial design landscapes also has a prototype.
 OBJECTIVES: To improve the level of digitization in China, the application of intelligent manufacturing in urban street space design; to promote the transformation of urban landscape elements, urban modernization will increase the level; to solve the problem of the urban environment improvement and economic development is not synchronized; to promote the modernization of urban development, enhance the level of urban informatization and intelligence.
 METHODS: Firstly establishes the Wells equation of the optimal path of intelligent manufacturing through the technique of theoretical exposition; secondly, analyzes people's demand for urban street space design by using the method of data statistics and analysis; lastly, summarizes the principles to be followed in the creation of urban street space and the construction outlook through case study.
 RESULTS: The Wells equation of the optimal path of smart manufacturing shows that intelligent manufacturing has a significant positive effect on the efficiency of urban street space design; the results of data statistics and analysis show that the current level of urban street space design cannot meet people's growing spiritual and cultural needs; the results of the case study show that the design of urban street space should follow the design principles of safety, closeness to nature, and human-centeredness.
 CONCLUSION: Urban street space design in the context of digital intelligent manufacturing should be done promptly, and the level of urban landscape design should be strengthened to meet people's growing spiritual and cultural needs in the post-New Crown epidemic era.

Route planning model based on multidimensional eigenvector processing in vehicular fog computing

With the rapid development of information technology, the informationization level of sport tourism has been improved in an all-around way, which makes a large number of data accumulated in the management system of road traffic. However, the traditional association rule algorithm cannot deal with huge data. To make up for the deficiency of predicting suitability from a single perspective, this paper, from the perspective of road daily travel planning, constructs a multi-dimensional characteristic model. Based on eigenvector processing as a research content, by carrying out a multi-dimensional prediction on the whole data set and considering the limitation problem of the influence of time, space, and items on daily travel routes, the invention provides a daily travel suitability road daily travel planning route prediction research method based on multiple dimensions. The invention also extracts the outstanding performance of a network model in a single variable problem based on deep interest and double characteristics. The combination of SVR and GBRT algorithm makes up for the one-sidedness of single perspective prediction. It uses the weighted fusion principle to fuse the results and establishes a multi-dimensional route suitability prediction model under this mode. Experiments verify that the prediction of multivariate dimensional data achieves the desired results. With the help of the dependence between the level and element dimension data, the future route planning trend can be judged. This algorithm compared to the ant colony algorithm and the traditional genetic algorithm increased by 15.6% and 15.1%. The system response time has been increased by more than 60%, which can effectively improve the accuracy of prediction. Therefore, in the VFC environment, the actual user needs can be improved, the planning and management of traffic routes can be guided, and the development of sport tourism systems of Taihang Mountain can be further promoted.

Dynamic data‐driven railway bridge construction knowledge graph update method

AbstractEffectively integrating and correlating multisource data involved in the bridge construction process is crucial for the improvement of the bridge informatization level. In the current issues of dynamic numerous data and low information sharing between different engineering departments, the traditional information management methods are inefficient in providing comprehensive and accurate data support for construction safety. Focusing on the bridge construction stage, this article proposes a dynamic data‐driven construction method of railway bridge construction knowledge graph (KG) in combination with dynamic data (materials, personnel, equipment and sensors) in the construction process and KG technology. By taking a railway bridge as a case, the study develops a prototype system and analyzes the effectiveness of bridge construction KG in material traceability, personnel and equipment management and construction safety guidance, which can provide comprehensive and accurate data support for bridge construction management and construction optimization. The results show that: (1) bridge construction KG that takes into account the dynamic features of bridge projects can effectively integrate multiple elements; (2) the bridge construction KG is dynamically updated through real‐time comparison and advance prediction based on the dynamic data collected by multi‐sensing equipment at the construction site, and can provide effective data support for guiding bridge construction safety; and (3) the construction management prototype system based on railway bridge construction KG can provide accurate data support for material traceability, personnel and equipment management and assisted risk event decision‐making. The results of the comparative experiment between the KG group and the spreadsheet group showed that utilizing the KG saved approximately 50% of time and achieved a 20% higher accuracy rate in the material traceability task compared to the spreadsheet group. In general, this study proposes a dynamic data‐driven construction method of railway bridge construction KG, which can effectively realize the effective integration and management of multisource data in the bridge construction process, provide the necessary scientific basis for fine bridge management, and help to improve bridge informatization management level.

Developing the Urban Fire Safety Co-Management System in China Based on Public Participation

The new situations, problems, and challenges facing urban fire safety work are gradually increasing in China, so innovating urban fire safety governance modes is an urgent task. In the fire management practice of the Chinese government, the establishment of an urban fire safety co-management system is an important measure for aggregating fire safety management resources and improving the level of urban fire safety prevention, as well as control. In order to reveal and clarify the interacting relationships and influencing mechanisms among multiple subjects in an urban fire safety co-management system, we constructed an urban fire safety co-management game model comprising fire supervision departments, production management units, and the public based on evolutionary game theory. The stability of the urban fire safety co-management game system is explored from the perspective of game subjects. The influencing factors of strategy selection between game subjects in the game system were investigated using numerical simulation analysis. The research results show that elevating the informatization level of co-management, the risk perception level of the public, and the disclosure level of fire safety information are conducive to stimulating the public’s positivity to participate in co-management. Strengthening the accountability of the superior government is conducive to ensuring the supervision level of fire supervision departments. The above measures have positive value for optimizing China’s urban fire safety co-management systems, establishing urban fire safety management synergy, and ensuring the stability of social fire safety situations.

Analysis of the integration development of enterprise refinement management and financial integration in the context of informationization

Abstract In the background of economic informationization, the integration and development of enterprise refinement management and financial integration have become the mainstream management direction of modern enterprise management. In this paper, the correlation function and judgment matrix are firstly determined by the entropy-weighted elementary topologizable evaluation model, while the initial judgment matrix V is standardized, and the differences in the correlation degree of indicators of different natures should be noted. The entropy power method is applied to calculate the change of relevant evaluation indexes, and the value of information utility in the evaluation system is determined through the change of entropy value. Then the initial data are obtained by means of questionnaires, and data analysis is performed on the first-level indicators in the evaluation system of enterprise financial management capability. The results show that the three indicators of financial risk control capability, financial management informationization level and financial personnel capability, and total budget management level have more room for improvement, but the score of financial risk control capability is only 5.04 points different from the total score, indicating that the specific situation of the enterprise itself for specific analysis. This study improves the level of financial management of enterprises and promotes their development of enterprises.

Exploring the implementation path of teaching Civics in online courses in colleges and universities under the background of big data

Abstract In this paper, a web-based teaching platform is constructed based on the background of big data, which is modeled by using a neural network algorithm. First, the neural network structure is output, and the error function is minimized by dynamic iterations using the activation function as neurons. Then, the error values were trained with implicit nodes, the activation function was modeled nonlinearly, and the sample set was extracted to define the cost function. Finally, the optimal particle is trained iteratively using the gradient descent method to derive the optimal solution, thus completing the construction of a web-based teaching platform based on the big data background. The experimental results show that after using this platform for online ideological education teaching, the percentage of students visiting online courses every day is 35%, which is 29% higher than that before using it. Therefore, to improve the construction level of ideological and political education online courses, it is necessary to strengthen the construction of ideological and political education online course platform resources, improve the informatization level of ideological and political education teacher teams, and promote the integration of ideological and political education online courses and classroom teaching.