In this paper, aiming at the problems existing in VOCs leak detection and governance in the petrochemical industry, a

VOCs comprehensive governance and management platform is designed. The platform adopts the Spring Boot framework to build

the infrastructure of the system and realize the separation of the front and back ends. The front end page is deployed in the public

cloud to provide access for users, and the back end business is deployed in the private cloud, ensuring the safe operation of the system. After testing and field application, the system runs stably and reliably.

Take the Computer Composition Principle of the computer major course for example, this paper puts forward the ideological and political teaching ideas of Computer Composition Principle, excavates the hidden curriculum ideological and political elements, and probes into the curriculum ideological and political ideas contained in it; at the same time, it introduces the process of ideological and political teaching reform of Computer Composition Principle from the aspects of teaching content, teaching mode,

teaching methods and means, teaching case design and so on. The aim is to do a good job in the ideological and political construction of university curriculum, improve students' political awareness and political literacy, establish students' correct moral concepts,and really make a certain contribution to educating people with culture and morality.

This paper compares and analyzes three research models of book classification in recent years, which are the classification

model based on ensemble learning, the classification model based on bidirectional LSTM and the classification model based on vector space model. Tested on the same data set, the accuracy of the latter two classification models is similar, and their accuracy is about 2% ~ 7% higher than that of the first model, in which the classification model based on vector space model takes less time.

The accuracy of the classification model based on bidirectional LSTM can be improved, which will gradually increase with the in

creasing of training times, but the time will also increase. These models play an important role in the book classification of the later

Smart Library. Scholars can choose to use the above models according to their needs. For the research of different classification algorithms, they have the opportunity to make a breakthrough in the accuracy and speed of classification.

With the rapid development of artificial intelligence technology, Chatbot is also developing fast. The application of Chatbot in teaching can liberate the manpower required by relatively fixed and repetitive intensive tasks or processes in teaching. The customer-centered concept of Chatbot coincides with the student-centered concept of vocational education. This paper discusses the connotation of the teaching method of Chatbot. The project tries to combine the online evaluation OJ platform with Chatbot in order to energize the C language teaching and competition coaching. It analyzes the positive effects of Chatbot on C language teaching and teaching scenes, and actively explores the intelligent teaching mode based on AI.

In the process of transformation of applied universities, the ability training of new engineering talents has shifted from focusing on knowledge, academic, and technical capabilities to the full development of knowledge, academic, technical, social capabilities and personal effectiveness. The capabilities of social abilities and personal effectiveness coincide with the ideological and political requirements of the curriculum. The article starts from the reform and innovation of new engineering education, and establishes a

curriculum evaluation system with the cultivation of students' five core abilities as the core. The analytic hierarchy process is used to calculate the weight of each indicator, and a summary table of the weight of the hierarchy is obtained. The article takes the Digital Logic Circuit of the automation major for example, establishes the course evaluation index rules, obtains the data from the information teaching platform and the special management system, and carries out the course evaluation. This method provides an effective reference for the functional departments of colleges and universities for the evaluation of students' core competence and the formulation of training programs, and has certain reference significance.

In this paper, the two-dimensional coherent DOA estimation algorithm based on the TOEPLITZ matrix reconstruction is designed for real-time regulatory drones, and the virtual line array model is established to receive the drone coherent signal, and the

signal is realized by matrixing the covariance matrix. The Toeplitz matrix is built, and the two- dimensional DOA estimation for

drone signals is achieved by calculating spatial spectrum. Simulation analysis shows that the DOA estimation accuracy rate of this

paper is high and better performance.

Internet plus has spawned a new educational ecosystem of basic education. This article combs the current situation of "Internet plus education" for regional primary school teachers. It explores the teaching strategies of "Internet plus education" for primary and secondary school teachers from four aspects, which are optimizing teaching design, improving teaching experience, opening

teaching time and space, and improving teaching management, to provide reference for primary and secondary school teachers to carry out teaching practice and educational research.

The training of new engineering talents under the professional certification of engineering education requires to strengthen

students' innovation ability and cultivate cross compound professionals with humanistic quality, professional ethics, social responsibility, innovative consciousness and innovative practice ability. The main characteristics of new engineering are discipline integration and intersection, which coincides with STEAM's concept of innovation-cultivation and problem-oriented and project learning.Through the research on the integration of new engineering courses under the steam concept, it provides a certain reference basis for the construction of new engineering courses.

At present, information technologies such as cloud computing, AI technology, mobile internet and 5G other are accelerating the change of traditional education and teaching methods. Due to the impact of the new crown epidemic in the past two years, online education, Chinese university MOOC and smart vocational education have rapidly developed, and education and teaching informatization are being used to promote teaching reform. This paper uses the ADDIE model to analyze the online design of 5G Network

Planning and Optimization, implements the education and teaching reform of the course classroom, and improves the combination of

theoretical and practical abilities of communication technology students. Based on the background of the ADDIE model framework,

it designs the course teaching of 5G Network Planning and Optimization from five major systems, including teaching analysis, teach

ing design, teaching development, teaching implementation and teaching evaluation, which can improve teaching effects.

The integration of virtual reality and artificial intelligence is a new trend in future education development. The article starts

with analyzing the problems faced in the development of smart campus, and proposes a novel "VR+AI" mode of education service

platform in response to the existing problems. It discusses on the goal of the "VR+AI" education service platform construction indepth, designs the "VR+AI" education service platform model, overall technical architecture and functions, and analyzes the multiple application scenarios of the service platform in education and teaching. The platform can accelerate the construction of smart campuses in universities, promote the deep integration of teaching, management, service, campus life and information technology,and promote the connotative development of universities.

The content of undergraduate Data Mining and Machine Learning course is abstract and difficult to understand. The traditional teaching materials of colleges and universities are mainly lecture teaching. At present, a large number of case-based and project-based teaching methods have been proposed to reduce the learning difficulty, but they still have the disadvantages of abstraction,

not easy to implement and lack of analysis of algorithm principles. In this paper, the process generation heuristic teaching is proposed for the first time in the Data Mining course, and the prototype of students' life experience is gradually formalized into a rigorous data mining algorithm, which reduces the learning difficulty, contributes to students' deep understanding of the algorithm and achieves better teaching results, on the basis of ensuring the correctness and scientificity of subject knowledge teaching, helps students generate subject literacy and subject ability.

In the background of the cloud technology era with the development of Internet, cloud computing is applied to our daily life. As the derivative technology of cloud computing, cloud storage is widely used in our work, learning and gaming. The technology of cloud storage used in education becomes the focus. This article takes the database course of the computer major for example,

discusses the mode to build the resources library model of the course based on cloud storage, including the model building of the

cloud storage platform, the resource library building of the course and the application of the resource library in teaching, hoping to

change thought, idea and method of education in the cloud technology era.

With the continuous development of science and technology, 3D technology has been gradually applied in various fields.

Based on the three- dimensional technology and the rise of virtual exhibition hall, Virtual Tour and other projects also began to

emerge. This paper describes the 3D virtual exhibition hall, analyzes the deficiency of the traditional exhibition hall, the advantage

of the 3D virtual exhibition hall, and the technical realization of the virtual exhibition hall. It combines the advanced VR technology

with the classic form, bringing different unique experience for users.

This paper introduces a strong privacy-guaranteed BRNN query architecture based on PIR, and proposes an orthogonal optimization technique to further improve the query efficiency. Firstly, this paper analyzes the privacy-oriented BRNN query, secondly introduces the method of BRNN query processing, and finally proposes the orthogonal optimization technology to further improve the query efficiency and experimental verification. The key problems to be solved in this paper include improving the success rate of query, reducing the time of anonymous query and improving the accuracy of data modeling.

The traffic management engineering major aims to cultivate professionals engaged in road traffic management. Correlation

analysis and principal component analysis are conducted based on scores of 12 major courses learned by 2015 and 2016 traffic management engineering major graduates. It is found that vehicle and driver management, traffic order management, and traffic accident prevention and handling are highly correlated with multiple other courses. However, road traffic planning and organization, traffic accident site investigation and inspection and identification technology, and skills training in traffic law enforcement are less relevant to other courses. The first two principal components extracted based on principal component analysis can explain more than 50% of the variance in the course score data, and can reflect students’overall professionalism.

Aiming at the current teaching status of the Database Principle course, this paper proposes a blended teaching strategy with cases as the core to bridge the course teaching content, projects as the core to optimize the course experimental content, and student as the center. The practice results show that this method can cultivate students' overall thinking of database, improve the quality

of course learning, stimulate students' independent learning ability, and make teaching more in line with the training needs of database talents in the New Engineering.

The industry and trade industry is a collective term for all types of non-high-risk industries directly supervised by emergency management departments at all levels, including eight categories, characterized by complex hazards and risk points and the inherent safety level of enterprises is unsatisfactory. In this paper, a risk monitoring and early warning system is developed to improve the informatization level of supervision in enterprises of the industry and trade. The system makes contributions to the refined management of key enterprises，the implementation of the main responsibility of enterprise safety production, the enhancement of information sharing of management departments at all levels. As a result, the intelligent level of safety supervision will be improved compre hensively

In order to improve the testing efficiency of the blockchain service platform, reduce the regression testing cost in the rapid

iteration process of the version, and reduce the risk of manual missed testing, an interface automation testing framework IATest

based on Python3 + Requests is designed and developed with the study of automated testing technology and combining with the

characteristics of the blockchain management platform interface testing. It realizes the automation of the whole testing process from interface parameter parsing, test data generation to test result comparison and statistical analysis. It greatly improves testing efficiency and reduces the risk caused by limited manual regression coverage of interface changes

With the rapid development of economic society and mobile Internet communication technology, the occurrence frequency

of telecommunications fraud crime is increasingly high, whose means and characteristics also present various new trends, which

makes the detection of the investigators more challenging. Under the background of the era of big data and cloud computing, the

function of "Intelligence-led Policing" becomes increasingly prominent. Owing to this mode guiding the prediction of crime model

and the prevention and investigation of crime, we can optimize the current mechanism of combating telecommunications fraud to a large extent, and promote the governance efficiency and quality of primary- level public security practice of telecommunications

fraud.

With the acceleration of urbanization in China, the number of high-rise buildings has increased dramatically, and high-rise

residential areas depth coverage (more than 25 layers) is still a difficult point in 4G network construction. The conventional spotlight antenna of which the horizontal half-power beam width is 65 degree cannot solve the high and low layer coverage requirements very well. Aiming at this problem, a wide-angle spotlight antenna with a horizontal beam width about 25 degrees and a vertical beam width about 65 degrees can effectively improve the signal strength and coverage at high and low levels. This paper summarizes the applicable scene and antenna configuration principle of large-angle spotlight antenna by analyzing and testing the coverage effect of large-angle spotlight antenna on the residential areas. Different construction schemes are formulated for different building heights, width and spacing to provide reference for the design of deep coverage in high-rise residential areas.