Frontier Computing on Industrial Applications Volume 3

Parameterization is developed on the basis of the development and application of computer technology to a certain level. Driven by digital technology, parametric design has started and discussion in the fields, providing a new way of thinking to solve problems. It is the process of using parametric generation technology to design and plan landscape architecture. This is a technology to generate different types of landscapes from a set of parameters defined in the form of mathematical equations. Parametric generation technology has been used in landscape architecture for many years, but it has not been widely used until recently due to its complexity and high cost. However, with the development of computer capabilities and software tools, it has become an affordable solution for creating landscapes and other applications, such as urban design.

Skilled talents are the core of any organization; They are the people who make or break the company. A successful enterprise depends on the skills and knowledge of its employees. Therefore, it is very important to select the right employees for your company. One of the most common ways to assess an individual’s skills and knowledge is through the Assessment Centre. However, this method has some disadvantages, such as time-consuming, difficult to evaluate specific skills, and methodical errors when using different methods to measure certain skills. The evaluate technicians, and determine the most effective method to select technicians. The goal is achieved by using model to analyze the data obtained from companies with high demand for employees with specific skills. Factor analysis was used to evaluate technicians according to age, education level, gender, experience and other factors. The skill level of personnel is determined by using Bp neural network. The results show that both methods can identify some suitable candidates, but there are differences between them.

The damping system will oscillate during the operation of the adjusting camera, which is not conducive to the operation stability of the adjusting camera. Therefore, in order to suppress the oscillation, the corresponding controller can be designed with the help of particle swarm optimization algorithm, which will be studied in this paper. Firstly, the basic concept and application advantages of are introduced. Secondly, the controller design is carried out around the controller design idea. Finally, the optimize the control and the simulation. The simulation the controller optimized is more prominent in damping oscillation suppression effect.

With the improvement of environmental conditions, human awareness of environmental protection is constantly improving, and the number and activity range of birds are also constantly expanding. At the same time, with the system, the operation system, and the operation of power system is more and more frequent. Due to the bird activities in the substation, it is easy to cause equipment failure and short circuit, thus affecting the substation. Therefore, the study and analysis of the occurrence law and hazard characteristics of poultry in the substation can effectively reduce the occurrence of poultry accidents.

As one of the core equipment of surface mounting system (SMT), SMT integrates many disciplines such as machinery, control, information. Because high precision, other advantages, it is widely used in the production process of cutting-edge electronic technology products, and is specifically included in one of the core development technologies of equipment manufacturing under the “Made in China 2025” plan. The research on the image processing algorithm of placement machine parts positioning based on machine vision is an algorithm development and application research aimed at solving the problems related to the production line process, which is called “placement machine parts positioning”. The main goal an efficient algorithm for precise placement of components in different locations. In addition, it aims to solve other problems, such as: only using one camera to place components; Accurately place components; Quickly place components; Place components accurately without any manual intervention or supervision.

General Interface Bus (GPIB) is a widely used way to build automatic test system at present. It integrates virtual instrument technology, computer technology and powerful test instruments together. It test speed, powerful function and scalability, so it has test work. The research of automatic test for photoelectric on PC bus and GPIB bus has been carried out as a part of the research project of “automatic test system for automatic detection and maintenance”. The purpose of this research is to develop an automatic testing system for photoelectric equipment based on PC bus, which can be used for automatic testing and maintenance process. The main goal is to develop an automatic test system, which can realize the test and diagnosis functions by using the information provided by the control unit (PC). In addition, it should also have the following characteristics: high-speed data transmission; Flexible configuration.

The higher education teaching evaluation is receiving increasing attention. AHP (Analytic Hierarchy Process) is a multi domain and multi-level analysis method for decision-making problems, which is also widely used in higher education teaching evaluation. This article proposes a higher education teaching evaluation. The system is evaluated based on multiple indicators such as students’ academic performance, teachers’ teaching abilities, teaching environment, and teaching facilities. DM algorithm is used to mine data, and AHP algorithm is used to perform hierarchical analysis and weight calculation on indicators. The experimental results indicate that the system can provide useful information and decision support for higher education teaching evaluation.

With the performance of optical films is required to be higher and higher in optical instruments. The design of optical thin films optical instruments. The optical characteristics of the film system are determined quantitatively by the evaluation function in the film system design. The is a method to solve the problem. This method has been applied in many fields such as engineering, economics and biology. The main idea of this method is to use ants to find the shortest path between two points. In other words, ants move from one place to another to obtain food or other resources. If there are many ants moving around, they will form a path, which can be called the best solution to the current problem. In this paper, some new ideas thin optimization design are proposed.

Multi view reconstruction algorithm of subway spatial design based is a new method of 3D model visualization simulation. The application program is used to simulate the construction process of underground space (such as tunnel, station, platform, etc.). The technology can be applied to a variety of situations, including urban planning and architecture. It can better understand how the underground space is built by using different methods such as traditional computer aided design (CAD), computer drawing and even 3D printing. In this paper, we will discuss the application of multi view reconstruction algorithm in Kanpur IIT subway space design project. Digital media art is involved in the subway space, breaking through the traditional art form of subway space, and embodying the interactive, interesting and novel art, which makes the research in the design and research of subway space artistry of the times significant.

The essential to reduce the loss in this stage and produce high-quality final products. First, to this end, a centralized model is developed using multi-objective optimization methods. The results show that these two objectives can be achieved simultaneously and satisfactorily by considering all the parameters and calculating the overall objective function value and each parameter affecting the final result respectively. The activated sludge wastewater treatment process mainly uses biological degradation and other methods to remove pollutants. It has the characteristics of multivariable, nonlinear, strong coupling, large lag and uncertainty. The process operates in an unstable state, making it difficult to measure process parameters in real time and control them very difficult. Therefore, the study of intelligent optimization control method and its application in sewage treatment process to achieve effective control of the treatment process can not only improve the effluent quality, but also have important significance for energy conservation and consumption reduction.

The distributed generation is aimed at optimizing the operation of distribution network to reduce losses. Many researchers have conducted this type of research and found that this method can be used to improve the performance of distribution networks. Some studies also show that this method can be used to improve the reliability and stability of power systems. It is also found that this method can be realized by using various types of distributed generation systems, such as wind, solar, hydropower, etc. This research includes three parts: (1) Overview of reactive power optimization control; (2) The relationship between distributed generation and reactive power optimization control is analyzed and summarized; (3) A case study of the application of this study in practice.

Automatic retrieval of UAV tilt images is a very important task in the field of aerial photography. The main goal behind this task is to capture images from a specific perspective, which is useful for document or mapping purposes. This task can be achieved by using a tilt-rotor aircraft equipped with cameras capable of capturing high-quality images. However, on the other hand, automatic retrieval of UAV attitude images is also very important because it is helpful to determine. In of automatic retrieval of UAV tilt image and image attitude recovery. The 3D point cloud model obtained from the airborne camera. The the use of dense 3D point cloud models obtained from airborne cameras. The obtained from the airborne camera to retrieve the tilt image and restore the attitude information under the following conditions.

Mathematical models the theoretical research and practical application of anaerobic biological processes. In this paper, the anaerobic bioreactor is taken as the research object. Through experimental analysis and mathematical model, the operating conditions of anaerobic reactors treating different types of substrates are simulated. The QSBR prediction model is a mathematical equation used to predict the amount of chemical degradation in the anaerobic biodegradation process. The QSBR prediction model was established through a large number of experiments. The experiments showed that the chemical degradation rate increased with the increase of temperature and decreased with the increase of pH value. QSBR prediction model can be used to predict the degradation rate of different chemicals under different conditions. The figure below shows how we can use QSBR prediction model to predict the degradation rate of different types of chemicals during anaerobic biodegradation.

The static contacts of disconnectors is to deposit ultra-thin films (about 0.1 μ m) Laser processing technology. It can be applied to rough surfaces such as contacts and connectors, which are not easy to be processed by other technologies. Its main advantages are low cost and high productivity; In addition, it can improve product quality and reduce production costs. At present, we are patrolling the contact parts of outdoor disconnectors in open substations. Due to the long-term exposure of dynamic and static contacts to the outdoors, the looseness of contact spring studs, dust haze and other reasons, the contacts is oxidized and rusted, contact resistance, heating and other defects, and the static treatment cannot be carried out in a timely manner. In view of the problems, the ultra-thin deposition layer on the surface of the double pulse laser induced breakdown spectrum defect elimination knife switch, which can be used for live maintenance and rust removal of high-voltage disconnectors. The laser spectrum is specially modulated to remove the oxidized and rusted parts, which will not damage the silver coating of human body and equipment and will not affect the operation of the power grid.

Derusting is a common process for protecting steel products. In daily use, steel products often rust. If the rust is not removed in time, it will bring great losses to the production. Traditional rust removal methods have many shortcomings, such as mechanical rust removal is easy to damage the surface of the workpiece, and chemical rust removal is easy to cause environmental pollution. Laser derusting is a new derusting technology proposed in recent decades. Due to its unique advantages, laser has received great attention in recent years. The research of laser derusting technology and the design of portable laser derusting system are carried out by using high-power laser. Laser rust remover can be used to remove stains and other residues on glass, metal, plastic and other surfaces. The main function of the equipment is to remove stains or residues on various materials without damaging them. It also has another function that can be used in many cases to prevent corrosion. In addition, it also helps us clean clothes more easily than before, because we no longer need to use any detergent when washing clothes.

Laser far-field focus measurement is an important method for measuring laser beam power. The measurement of optical power is a key problem in many fields, such as laser technology, metrology, etc. In multi-step phase recovery on for high-precision measurement of the position and size of the far-field focus. The method can be divided into two steps: firstly, the spatial intensity distribution of laser beam is calculated by using the fast Fourier transform (FFT) algorithm; Secondly, it uses laser far-field focus measurement to measure the size of laser beam spot on an object. This method is based on phase recovery technology, which uses two or more measurements to determine the size of the object. The first measurement is carried out at a certain distance from the object, and then another measurement is carried out at a relatively close distance from the same object. If the size between these two measurements does not change, it can be assumed that the size of the focus itself does not change.

The application of computer algorithm in the fault diagnosis system of rotating machinery is a tool for analyzing data and making necessary calculations to determine the cause of the fault. Computer based technology can help identify defects, detect faults, predict future faults and evaluate maintenance measures. Fault diagnosis tools are very helpful in identifying problems with rotating machinery that can cause significant economic losses due to reduced production or downtime on the production line. In order to ensure continuous operation of industrial equipment, all machines must be regularly checked for abnormalities that may affect overall performance and productivity.

This paper briefly analyzes the summary of network embedding and node similarity, emphasizes the discovery, and takes numerical simulation as the entry point to study the evaluation index, real network and artificial network, which is expected to provide reference for relevant personnel.

The main contradiction of education is the conflict between school education and social interests. Actively adapting to social needs is the basic direction of higher education development and reform. The social impact of talent training is an important indicator to test and evaluate the performance and curriculum quality of colleges and universities. A complete higher education early warning system must cover the whole process related to quality. From the perspective of the whole process of higher education project activities, the process, process and production of higher education system are closely related to the quality of higher education system. The purpose of this paper is to study the research on education dynamic early warning system based on collaborative filtering algorithm. This paper takes the university as an experimental point, discusses the key factors affecting the quality control of the university from the four dimensions of organization, teachers, educational activities and students, and builds a powerful and dynamic early warning system.Experiments have proved that under the influence of the education dynamic early warning system in this paper, the excellent completion rate of the course has increased by 30%. In addition, in the case of parallel login and operation of 300 users in this paper, the system response speed is about 0.3s, and the response is relatively low. Fast and stable performance.

Another problem at present is that a large amount of data is transmitted electronically. This includes not only personal information, but also confidential business information and financial records. With our increasing dependence on computers and other digital devices, the risk of these data being leaked or stolen is increasing. Fortunately, many organizations have recognized the need for better network security measures to protect their most valuable assets from external threats, as well as internal attacks by malicious employees or contractors. The increasing use of mobile devices makes it easier for bad actors to intercept sensitive information. With the emergence of potential threats to real-time data security, and the need for real-time and quasi real-time data transmission through the network in electricity metering and billing systems and power markets, the research on real-time data security of power information systems has been put on the agenda.

In the model predictive control scheme, the PID cascade control structure is introduced. By using conventional PID control at the bottom, the interference into the system is suppressed, and MPC at the top, excellent tracking and robustness are obtained. PID controller is a feedback control system, which uses proportional integral derivative (PID) model to estimate the process variables and their derivatives at each time. Then, the output of the PID controller is used as an input of another control loop that controls the process variable in response to the change of the error signal. In this way, it can be said that there are two cycles: one is used to estimate process variables, and the other is used to control process variables. This type of control scheme has been widely used in industrial applications, such as power plants and chemical plants. It has also been successfully applied in many other engineering fields.

The role of co-simulation in dual-CPU power supply systems is very important, but there are problems with unreasonable design. Manual simulation cannot solve circuit parameter and power integrity problems, and the synergy rate is low. Therefore, this paper proposes a co-simulation technology to construct an optimization model. First, circuit knowledge is used to design circuit parameters, design according to power integrity standards, and realize power synergy Processing. Then, the circuit collection is formed by co-simulation technology, and the co-simulation process is optimized. MATLAB simulation shows that the analysis accuracy and co-simulation time of co-simulation technology are better than those of manual simulation technology under certain power requirements.

Machine learning is a branch of computer science and has been applied to the field of artificial intelligence. It is a form of data analysis in which computers are used for learning without explicit programming. Machine learning technology is increasingly used in oil and gas exploration. The method based on machine learning shows promising results in predicting oil production of different oil wells. In this case, the main goal of applying machine learning technology is to effectively mine large data sets and extract information from them, even if they are not predefined by humans or engineers. The main feature used to predict oilfield production is the number of wells, which can be found in the well report. In order to predict future oilfield production from these data, there are many technologies. Machine learning technology has been applied to this problem. It helps them identify patterns in different types of data sets and helps them develop better predictions. It helps improve accuracy while reducing costs by using less time and resources.

In recent years, virtual reality technology has been increasingly applied in various fields, including the construction of a virtual simulation platform for international freight transportation equipment and vehicles. Virtual reality is the main content of transportation simulation platforms, but in the application process of virtual reality technology, transportation simulation platforms form data, transportation simulation platforms, and shorten financial planning time. Then, a comprehensive planning was conducted on the data of the traffic simulation platform. By using virtual reality technology, various cargo transportation scenarios can be simulated in a real environment, thereby improving the efficiency and safety of transportation equipment vehicles. For different transportation needs, the virtual simulation platform can also simulate different types of equipment vehicles and different road conditions, enabling users to better understand the vehicle's performance and driving technology. In addition, the virtual simulation platform can also provide users better control and plan the Transport Plan of goods. The in the construction of virtual simulation platforms for international freight transportation equipment vehicles will provide more efficient, safe, accurate, and intelligent freight transportation services for relevant industries, which has important application value and promotion significance.

The role of music computer technology in music analysis is very important, but there is a problem of low information fusion rate. Previous music analysis methods could not solve the information fusion problem in music research, and the degree of integration was small. Therefore, this paper proposes music computer technology to construct a fusion model of information and music. Firstly, the music content of information fusion is classified by using the knowledge of musical notation, and the music content is carried out according to the music score standard Set division to achieve standardized processing of music information. Then, the music score knowledge classifies the information fusion to form a music fusion collection and iteratively analyzes the music content. MATLAB simulation shows that under the condition of a certain amount of information, the accuracy of music score analysis and information fusion time of music computer technology are superior Previous music analysis.

The financial management of a company is a process of allocating resources to maximize the company's profits. The success of any company depends on how effectively it allocates resources. This involves deciding what and how much to produce, when to produce, and what costs should be incurred, who is responsible for paying these costs, and whether they are necessary. These decisions must be made in consideration of several factors such as production cost, sales volume and market conditions. The process of managing the company's finances includes forecasting, budgeting and control. Financial management is a key function in each business. It must be implemented in order to make the organization run smoothly and effectively. In this article, I will discuss how data mining can help in this area by predicting future trends and better estimating the budget set for each department in the company.

The role of customer management in electric power customer service is very important, but there is a problem of low intelligence. Customer management cannot solve the service problems of user experience, digitalization and customer satisfaction in electric customer service Lower. Therefore, this paper proposes a digital intelligence method to optimize customer management. First of all, the industry standard is used to divide the power customer service content, and the power customer service content is analyzed according to the service requirements Pre-processing of electric customer service data. Then, according to the industry standard, an optimized collection of electric customer service is formed, and the service content is deeply explored. MATLAB simulation shows that under the condition of consistent industry standards, the optimization and friendliness of digital intelligence methods are better than traditional services Method.

The role of energy conservation and emission reduction in carbon emissions on the electricity side is very important, but there is a problem of inaccurate strategy selection. The data statistics method cannot solve the evaluation problem of the selection of indicators and scheme selection in carbon emissions, and the accuracy is low. Therefore, this paper proposes the energy-saving method on the electricity side to optimize the energy-saving and emission-reduction measures. First, the carbon emission content is divided by using energy-saving goals, and the carbon emission content is analyzed according to market requirements to achieve carbon emissions Preprocessing of data. Then, according to the energy-saving goals, an optimal set of carbon emissions is formed, and the emission reduction scheme is deeply explored. MATLAB simulation shows that under the condition that the energy-saving goal is consistent, the optimization degree and influence of the energy-saving method on the power side are better than the traditional evaluation method.

This paper proposes a foreign language teaching. The model aims effectiveness of the learning process by using various types of communicative activities and interactive media (such as role playing, video conferencing, games, etc.). The main purpose is to improve the level of learners’ enthusiasm and let them participate in the learning process more. In addition, this paper also introduces some new technologies that can be used to design foreign language teaching models, including: (1) the concept of “learning environment”; (2) The concept of “motivation”; (3) Students’ ideas. The purpose of this project is to build a model as an effective tool to improve students’ foreign language learning ability. The a new method to improve students’ learning process by using the Foreign Language Teaching Design and Analysis (DATFL) model.

It is essential to improve the role and construct a translation recognition model. Firstly, the translation theory is used to segment the strings recognized by the translation, and the strings are performed according to the translation requirements Set division to reduce ambiguity in identification. Then, translation theory segments the translation recognition to form a collection of translation results and continuously recognizes strings. MATLAB simulation better than those under certain string recognition conditions Standard GLR algorithm.

The role of customer relationship stickiness in market-oriented reform is very important, but there is a problem of inaccurate evaluation. Previous methods could not solve the evaluation problems of user stickiness and loyalty in market-oriented reform, and user satisfaction was low. Therefore, this paper proposes a digital intelligence method to optimize customer relationship stickiness. First of all, the industry standard is used to divide the market-oriented reform content, and the market-oriented reform content analysis is carried out according to the service requirements to achieve market-oriented reform Preprocessing of data. Then, according to the industry standard, an optimal collection of market-oriented reform is formed, and the service content is deeply explored. MATLAB simulation shows that under the condition of consistent industry standards, the optimization and friendliness of digital intelligent methods are better than traditional service methods.

The role of competitiveness model in the creation of business environment is very important, but there is the problem of inaccurate construction plan. The online construction method cannot solve the problems of business indicators and environmental analysis in the construction of business environment, and the accuracy is low. Therefore, this paper proposes a competitiveness model to comprehensively evaluate the business environment. First, competitiveness mining is used to divide the construction plan and realize the standardized processing of business environment data. Then, according to the results of competitiveness mining, the evaluation set of business environment creation is formed, and the construction plan is deeply excavated. MATLAB simulation shows that under the condition that competitiveness mining is consistent, the comprehensive evaluation degree and construction degree of competitiveness model are better than online construction Law.

The role of data mining technology in the overseas dissemination audience targeting of Chinese classics is very important, but there is a problem of low audience targeting accuracy. Standard communication analysis methods cannot solve the problem of audience targeting of many types of Chinese classics, and the targeting effect. Therefore, this technology and an audience positioning model for Chinese classics. Firstly, the theory of communication is used to classify overseas audience targeting, and the overseas audience positioning method is selected according to the requirements of Chinese classics. Implement preprocessing for audience targeting. Then, according to the degree of English translation, an audience targeting collection is formed, and the parameters are iteratively judged. MATLAB simulation shows that in Chinese classics, data mining technology can improve the scale of overseas audience targeting Reduce targeting time and results that outperform standard communications analytics.

The role of experience scheme in power service is very important, but there is a problem that the synopsis effect is not satisfactory. The experience solution cannot solve the problem of matching customer needs and power supply in power services, and the integration is low. Therefore, this paper proposes an Internet channel method to construct an experience solution optimization model. First, the experience standard is used to divide the power service content, and the power service content is carried out according to customer requirements to realize the power service of data processing. Then, the experience criteria are divided according to the power supply criterion to form an optimized set of electricity services, and the Japanese content is further explored. MATLAB simulation shows that the optimization degree and the Internet channel method are the online customer method under the power supply is quasi-consistent.

The role of big data analysis in social cognitive psychology is very important, but there is a problem of large analysis error. Previous psychological questionnaire analysis could not solve the problem of comprehensive analysis in social cognition, and there were few psychological scale indicators. Firstly, the big data theory is used to divide the psychological score of social cognition, and the psychological score is divided according to the degree of cognition to reduce the subjective factors in the scale analysis. Then, big data theory divides social cognitive scores into grades, forms a collection of psychological scores, and continuously analyzes psychological scores. MATLAB simulation shows that under consistent socio-ecological orientation, big data analysis methods’ accuracy and analysis time are better than those of previous psychological questionnaire analysis.

The role of computer intelligence technology in financial management is very important, but there is a problem of low degree of optimization. Previous costing methods could not solve the financial management problems in financial costing, and there were fewer financial management indicators. Therefore, this paper proposes a computer intelligent technology method to construct a financial cost accounting model. First of all, intelligent technology is used to manage the financial cost accounting data, and the data collection and division are carried out according to the student accounting, so as to reduce the financial management Subjective factors. Then, intelligent technology will financial cost accounting financial management, form a financial management result data collection, and carry out continuous financial management of the data. MATLAB simulation shows that under certain financial management data conditions, the evaluation accuracy and financial management time of computer intelligent technology method are better than the previous cost accounting Method.

The role of informatization in secondary vocational colleges and universities is very important, but there is a problem that the degree of informatization is not high. The existing management system cannot solve the problem of managing multiple types of information in teaching, and the concentration of information is not high. Therefore, this paper proposes a data mining algorithm and constructs an information guidance model. First of all, according to the requirements of informatization, the information of secondary vocational secondary schools is collected, and the information is summarized according to the degree of importance, so as to realize the preprocessing of information. Then, an information collection is formed, and the information data is self-learning and analyzed. MATLAB simulation shows that under the condition of certain processing standards, the guidance degree and informatization degree of data mining algorithm are better than those of cluster analysis method.

Mental health is a state of mental health characterized by common but inconsistent signs, such as positive emotions, satisfaction and good interpersonal relationships. Mental health is essential for human survival, because it enables us to work normally in daily life and perform our duties effectively. The existing mental health education consulting management system still has some shortcomings in terms of security and operating efficiency. Considering the system user's requirements for operation, consultation, information processing and confidentiality functions, the system is designed from the client and server modules, and two-way communication is used between the two modules. The user registers or logs in the account, submits the consultation information from the client through online consultation or scale test, after the consultation information is transferred to the server, the data is preprocessed at the server, the user psychological consultation database is divided, and the divided data is mined by using Apriori algorithm for association rules. When mental health is damaged by potential obstacles or diseases, mental illness will occur. Mental illness will have a serious impact on individuals’ personal, social and work life. Therefore, effective management of mental disorders requires early detection and diagnosis of mental disorders and provision of quality services for people with mental disorders.

In the context of “access to electricity”, the role of big data analysis in business environment monitoring is very important, but there is a problem of inaccurate monitoring results. The method the problems of business indicators and environmental analysis in business environment monitoring, and its accuracy is low. Therefore, this paper proposes a big data analysis model to comprehensively evaluate the business environment. First, data mining is used to divide the content of business environment monitoring to realize the preprocessing of business environment monitoring data. Then, according to the data mining results, the evaluation set of business environment monitoring is formed, and the monitoring scheme is deeply excavated. MATLAB simulation shows that consistent, the comprehensive evaluation degree and influence degree of big data analysis model are better than that of online monitoring method.