Showing papers presented at "International Conference on Measuring Technology and Mechatronics Automation in 2021"

Fault Prediction Method of Belt Conveyor Based on Grey Least Square Support Vector Machine

Abstract: In order to realize the early prediction of belt conveyor faults and improve work efficiency, this paper proposes a fault prediction method based on gray least squares support vector machine. First, analyze the working status of the belt conveyor and study the cause of its failure. Then, select the characteristic parameters to establish a least squares support vector machine prediction model to determine the deviation and slippage that may occur during the operation of the belt conveyor. The longitudinal tearing failure is analyzed to realize the judgment of the failure prediction trend of the belt conveyor. In this way, not only the efficient work of the belt conveyor is ensured, but also the inconvenience caused by the inspection to the staff is reduced.

Research on the Path Planning Algorithm of Mobile Robot

Abstract: Aiming at the problem of local deadlock and path redundancy when mobile robots are running in a complex and unknown environment, specific application design and simulation comparisons of several existing local path planning methods are carried out, and the planning process The problems that have arisen propose solutions. The principle and usage scenarios of three local path planning algorithms, artificial potential field method, Rapid-exploration Random Tree and bidirectional Rapid-exploration Random Tree are analyzed emphatically. Simulation tests are carried out on the MATLAB platform to verify the feasibility of the designed method Sex and effectiveness. This paper optimizes the RRT algorithm to get the B-RRT algorithm, so that the calculation time of path planning is greatly shortened.

Application of augmented reality technology in carton packaging structure design

Abstract: In order to solve the problems of large error and low efficiency in traditional carton packaging structure design method, augmented reality technology is applied to carton packaging structure design. Based on the camera system of augmented reality technology, the mathematical model of carton packaging structure is constructed, and the coordinate transformation of carton packaging parameters is realized. According to the results of coordinate transformation, the structure tree model of carton packaging structure was constructed, and the carton packaging structure design was completed by deleting face nodes. The experimental results show that the proposed carton packaging structure design method has low edge packaging error and can maintain high packaging efficiency. Therefore, the method of applying augmented reality technology to carton packaging structure design is of high practical value.

E-commerce Marketing Strategy Based on Big Data Statistical Analysis

Abstract: In order to improve the sales efficiency and operating benefits of the company, the paper presents an E-commerce marketing strategy based on big data statistical analysis. Through analysis of massive data existing in the network, the new method can provide decision-making basis for e-commerce platform and management of enterprise and effectively improve the competitiveness of e-commerce platform and enterprise.

An Excitation Control Strategy of Synchronous Generator Based on Fuzzy PID

Abstract: Aiming at the excitation control system model including dynamic, non-linear and complex problems, it is difficult to establish an accurate model. Then a fuzzy-PID control algorithm based on Mamdani fuzzy model is proposed by combining the fuzzy theory with the conventional PID control law. On the basis of establishing a simple model of excitation control system, the fuzzy Mamdani model is introduced. The rules modify the parameters of PID control, and use the fuzzy inference to convert the fuzzy set into the precise output value. The voltage control effects of two kinds of fuzzy models of PID excitation control system are compared through the simulation example of MATLAB. The research and analysis show that the new strategy has better voltage control effect than the conventional PID method, which realizes the optimal control of synchronous generator excitation system under multi-working conditions, and provides a new idea for the application of fuzzy PID control in large synchronous generator excitation control.

A Study on Quality Evaluation of College English Translation Teaching Based on SERVQUAL Model

Abstract: In order to solve the problem of low accuracy in traditional evaluation method of college English translation teaching, a new method of college English translation teaching quality evaluation based on SERVQUAL model is proposed in this paper. The evaluation index system of college English translation teaching quality is constructed, and the evaluation index data are processed by the method of principal component analysis and support vector machine. Based on the processed data, the comprehensive evaluation results of college English translation teaching quality are obtained by using SERVQUAL model. The experimental results show that the maximum evaluation accuracy of the proposed method is 96.3%, the minimum is 94.5%, and the average output time of the evaluation results is 75.2ms, indicating that the proposed method can achieve a rapid and accurate evaluation of the quality of college English translation teaching.

Optimization model of Multi-energy system based on multi-source energy storage

Abstract: Aiming at the problem of renewable energy fluctuations in the multi-energy system and the coordination of the energy output of electric, heating and gas, based on the supply characteristics of renewable energy and the storage characteristics of energy storage facilities, a multi-energy system optimized operation model based on multi-source energy storage is established. An optimization model for coordinating and balancing the volatility of renewable energy using heat and gas storage facilities has been established. First, a multi-energy system based on multi-source energy storage (MESBMSES) is proposed. The system is divided into three parts: the supply side, the energy conversion unit and the load side. Then, on this basis, a MESBMSES optimal scheduling model based on economic optimization was established. Finally, taking a region in Northeast China as an example, based on the output data of renewable energy, the storage of energy storage facilities is analyzed. The simulation results show that the energy input and output of energy storage facilities and the coordinated optimization model of renewable energy output proposed in this paper have good operating economy and large-scale utilization of renewable energy

Research on Optimal Allocation of Capacity of Island Multi-energy System

Abstract: In view of the poor utilization of renewable energy, and the high cost of traditional battery energy storage, frequent deep charging and discharging can easily lead to reduced battery life, this paper proposes a consideration of hydrogen storage and battery mixing capacity optimization allocation strategy for multi-energy systems of energy storage. First, establish an island multi-energy system model with electricity/hydrogen coordinated supply centered on electricity/hydrogen conversion and storage. Secondly, with the goal of minimizing the sum of annual investment and operating costs of the island multi-energy system, establish a capacity optimization configuration model for the island multi-energy system. Finally, taking an island in my country as an example, the analysis of the calculation example shows that the hybrid energy storage system structure proposed by the model extends the service life of the battery, reduces the operating cost of the battery energy storage.

Flexible Joint Manipulator Controlling Algorithm Based on Neural Network Improved PID

Abstract: Traditional dynamics model of manipulator is based on rigid body dynamics model, but there are some limitations in accuracy and efficiency in the actual operation process. Taking flexible joint manipulator as the research object, the traditional PID control and the neural network-based PID control are compared and studied respectively. According to the simulation results, it can be found that the application of neural network in the PID control can realize the effective control of complex controlled objects and the online self- tuning of the PID parameters. It makes the system response faster and control accuracy higher, to reduce the tracking error effectively.

Cooperative optimal scheduling of multi energy system considering flexible load

Abstract: to solve the problem that demand side parameters have high schedulable potential but insufficient response capability. In this paper, a regional multi energy cooperative optimal scheduling method is proposed, which considers user side flexible load and incentive mechanism. Secondly, a mathematical model is set up with the objective of user's active participation in scheduling, and the model is divided into two parts, namely, user's active participation in scheduling, user's active participation in scheduling, and user's active participation in scheduling. The simulation results show that the electricity, heat and gas coupling scheduling and flexible electricity, heat and gas load incentive mechanism can significantly reduce the operation cost of multi energy system and meet the demand of peak load cutting and valley filling.

Voltage Flicker Mitigation Strategy Based on Individual Pitch Control of Wind Turbine

Abstract: In order to reduce the impact of wind turbine output power fluctuations on voltage flicker, an individual pitch control strategy based on the combined feedback of output power and azimuth is proposed. First, an equivalent wind speed model considering turbulent wind, wind shear and tower shadow effect is established, and a wind turbine control model is built based on FAST-MATLAB/Simulink. Secondly, a band-pass filter is designed in the individual pitch control loop to filter out the 3P pulsation component of the wind turbine output power, and the pitch angle adjustment signal is obtained through the BP neural network PID controller to combine the azimuth angle to transform it into each the pitch angle adjustment signal of the blade is superimposed with the unified pitch angle to reduce the power fluctuation of the wind turbine. Finally, simulation analysis is carried out based on the FAST-MATLAB/Simulink platform. The simulation results show that, compared with the traditional PI individual pitch control, the joint control strategy can effectively stabilize the output power of the wind turbine and reduce the voltage flicker.

Research on quantitative evaluation method of teachers based on multiple linear regression

Abstract: According to the nature of multiple linear regression evaluation method, the quantitative evaluation method of teachers is divided into quantitative evaluation method and qualitative evaluation method. On the basis of meta linear regression, the quantitative evaluation method of teachers' teaching is standardized, and the quantitative evaluation standard of teachers is designed. A spiral dynamic evaluation process of "data collection evaluation feedback" is formed by collecting and combining the evaluation information method with the expectation evaluation and grade evaluation standard. Combined with the multiple linear regression algorithm, the quantitative evaluation criteria and evaluation index of teachers are calculated To identify, identify and differentiate the main functions of quantitative evaluation of teachers, teaching effect of high teachers, targeted evaluation and improvement of teaching methods and models.

Research on Employment Efficiency Evaluation of financial graduates based on DEA Tobit two stage method

Abstract: Under the background of national and local economic development entering into the new normal, financial graduates are facing great employment pressure, but also facing opportunities and challenges. Financial graduates are senior talents in China’s economic and social development and an important part of national talent resources. The employment quality is directly related to the realization of its own value and social value. Based on this, this paper studies the evaluation method of financial graduates' Employment Efficiency Based on DEA Tobit two-stage method. It is beneficial to optimize the allocation and utilization of social human resources, to solve the employment problem of financial graduates, to improve the training quality of financial graduates, and to strengthen the management of human resources of employers. Based on the DEA Tobit two-stage model, this paper quantitatively analyzes the employment efficiency and its influencing factors of financial graduates by combining qualitative and quantitative methods. Through the construction of financial graduates employment quality evaluation index system and evaluation model, this paper studies the composition characteristics, change trend and influencing factors of financial graduates' employment quality, and puts forward targeted employment guidance suggestions for Commission Financial graduates.

Design and Application of Learning APP for Ideological and Political Course Based on Android & SSH

Abstract: Although the existing micro course platform of ideological and political education has been constructed and applied, the resources are not fully used and the interactive learning effect is poor. Therefore, this paper makes an in-depth analysis and research on the theory of mobile learning and micro class learning. Then, combined with the current popular mobile application system development technology, this paper studies the introduction of Spring, MVC framework and Hibernate framework. Through the study of user needs and feasibility, it realizes the functions of user management, course management, resource management, FAQ, etc. The key functions of the system are specifically developed and designed integrated with MySQL database,. The empirical analysis is performed according to the dimensions of database, communication mode, page design and function design, and the important codes in different links are provided. The application practice shows that the micro class teaching platform meets the expected teaching requirements, and supports the functions and resources provided by the platform, which also effectively improves the students' autonomous learning ability and the overall learning performance.

Parametric modeling of mechanical reducer gear based on particle swarm optimization

Abstract: The mechanical reducer gear has the advantages of good meshing performance, strong bearing capacity and smooth transmission, which has been widely used in the mechanical transmission system. But the traditional design cycle of mechanical reducer gear parameters is long, especially the gear calibration analysis, the calculation process is cumbersome and labor intensity is high, which leads to the incomplete interface of mechanical reducer gear model. In order to improve the analysis accuracy, a lot of correction work is needed. Therefore, based on particle swarm optimization algorithm for mechanical reducer gear parametric modeling research. Based on SolidWorks 3D software, the parametric development of spur gear, modified helical gear, bevel gear, internal gear, tooth root transition curve and helix is carried out. The finite element contact theory is introduced to calculate the contact problem of two cylinders, and compared with the classical Hertz theory, the correctness of the theory is verified. On this basis, the influence of friction on the contact stress and meshing strength of gears is obtained by setting different sliding friction coefficients, and compared with the theoretical calculation results, the correctness of the finite element analysis is verified.

Research on Suspended Sediment Characteristics of Lingding Bay based on GF-1 Remote Sensing Images

Abstract: The expansion of sand-dredging activities in Lingding Bay has an unknown impact on the distribution of suspended sediment in the surrounding sea area. In this paper, an accurate formula was proposed for calculating suspended sediment concentration(SCC) based on GF-1 satellite images and mass filed data of SSC in Lingding Bay. First, the plane distribution of surface SSC of Lingding Bay are acquired and the distribution and transporting characteristics of SSC in Lingding Bay are analyzed, and then, the possible influence of turbidity water with high SSC caused by sand-dredging activities is discussed. The results were shown as follow: The plane distribution characteristics of surface SSC in Lingding Bay were generally "westen higher than eastern", "northern higher than southern", "shoals higher than troughs", and the main transport direction of suspended sediment was generally from north to south; Large-scale sand-dredging activities had significantly increased the SSC value in the middle shoal of Lingding Bay; The turbidity water with high SSC values can transport to Lingding Channel and Tonggu Channel with tidal flow, and its influence on the back siltation of the navigating channel deserves more attention.

Influence of regional line loss on total loss of transmission network after structure change

Abstract: Theoretical line loss calculation is an important part of line loss management. Based on the analysis of line loss variation, a new theoretical line loss calculation method based on Newton power flow method is designed. Taking Qinghai main network as an example, the method is used to calculate the theoretical line loss before and after the power grid structure adjustment, and the influence of regional power grid structure adjustment on line loss is analyzed, which provides support for the whole network theoretical line loss analysis and loss reduction research in Qinghai Province.

Multi interactive and mixed teaching system of law distance education based on P2P technology

Abstract: In order to improve the transmission performance and security performance of the multi interactive hybrid teaching system of law distance education, this paper proposes and designs a multi interactive hybrid teaching system of law distance education based on P2P technology. This paper analyzes the network structure of the system, designs the P2P network mode structure, the remote operation principle of the multi interactive teaching mode system, and realizes the design of the multi interactive hybrid hardware. In the software part, node scheduling is carried out under the P2P network of the system to improve the resource transmission performance and security of the multi interactive hybrid teaching system of law distance education. The experimental results show that the designed system has high efficiency of legal resources transmission and low intrusion rate, and can ensure the high quality operation of the system.

Design of a university English micro-course system based on mobile learning mode

Abstract: Mobile teaching is the current development trend of English teaching. The traditional English teaching system has low load capacity due to the design defects of hardware, and it cannot be targeted to teach and stimulate students' learning interest when it is actually applied. To address the above problems, we design a university English micro-course system based on mobile learning mode. After optimizing the resource calling instruction memory and system communication connection port in the hardware part of the system, the system software part integrates English micro-lesson resources and recommends teaching resources by using collaborative filtering algorithm to complete the system design. The comparison experimental results show that the carrying capacity of the system is improved by about 53%, and the actual use can effectively improve students' English learning ability.

Characterization and reliability analysis of statistical distribution of A Class of Stochastic Signal Systems

Abstract: In recent years, big data statistical survival analysis has become the most challenging and hot topic for biologists and statisticians. On the basis of extending the research of information flow in general information space to the study of stochastic dynamic information flow in generalized information measurement space with higher value and more information, this paper discusses the stochastic statistical inference of survival analysis of human and biological populations in a class of random effect models, and explores and excavates a series of valuable large-scale processes in this kind of generalized process Based on the statistical information of data, the optimal statistical inference mathematical model of random signals of this kind of generalized process is obtained, which provides a very effective mathematical processing method and method for statistical inference and analysis of big data for further study of such processes, such as optimal control and reliability analysis in the research of brain aging.

Cause Analysis of Abnormal Deposition of Hong Kong–Zhuhai–Macao Bridge in Pearl River Estuary, China

Abstract: Consisting of a 28.9-km-long bridge, two 6.7-km-long man-made islands, and a 5,664-m-long immersed tube tunnel, the Hong Kong-Zhuhai-Macao Bridge is a super large-scale transportation project in the Lingding Bay of the Pearl River Estuary. The construction of the immersed tube tunnel involved arranging 33 tunnel elements from west to east in an excavated foundation trench. The installation was forced to stop, which was a difficult problem for the project team to solve immediately due to the abnormal deposition for tunnel element 15 during floating installation on November 15, 2014. In this article, the hydrodynamic and sediment environment, the topographic and geomorphic features, suspended sediment concentration caused by sand-dredging activities, and flow field near deep foundation trench were analyzed for the purpose of research. Overall, the cause of abnormal deposition was very complicated. Large-scale sand-dredging activities on the north side of Neilingding Island directly led to an increase in the suspended sediment concentration. With tunnel element 15 as the boundary, the topographical and geomorphic differences between the east and west sides were the reason that silting firstly occurred for tunnel element 15 but not for tunnel elements 1–14. Finally, the complex vertical circulation structure was another factor of abnormal deposition caused by the project itself. In a word, the cause of abnormal deposition for tunnel element 15 is very complex, including the joint influence of human and natural factors.

A Fuzzy AHP-based Method for Evaluating the Modal Coordination of Integrated Transportation Networks

Abstract: Integrated transportation systems serve as the infrastructure of our society, and their coordination have a great impact on regional socio-economic development. This paper constructs a three-tier evaluation indicator system for the modal coordination of an integrated transportation network by taking into consideration three criteria, namely, structural matching, reasonable layout, and effective integration. The weight of each evaluation indicator is determined based on the analytic hierarchy process (AHP) and inputs from experts. And the membership degree of each indicator is calculated using a fuzzy comprehensive evaluation (FCE) method. Finally, this evaluation indicator system is applied to a regional transportation network to validate its effectiveness. The results show that the overall modal coordination of the regional transportation network is "good", which means there is a large room for optimization. The proposed method for evaluating the modal coordination of an integrated transportation network can provide a scientific basis for the planning and structural layout optimization of regional transportation networks.

The Absolute Wavelength Demodulation System of Large Capacity FBG Sensor Array Based on φ-OTDR Technology

Abstract: The existing fiber Bragg grating (FBG) wavelength demodulation system based on Mach-Zehnder interferometer and phase sensitive optical time domain reflectometer(φ-OTDR) is limited by the system structure and working principle. It can obtain large demodulation capacity through time division multiplexing (TWD), but it can only measure the relative change of wavelength. In this paper, we design and experimentally verify a scheme for measuring the absolute wavelength of FBGs. This scheme can obtain the absolute wavelength of a large-capacity FBG sensor array without affecting the performance of the original technical indexes, and also theoretically improve the accuracy of the system. Its dynamic real-time absolute wavelength demodulation error less than 0.1pm.

A Data-Driven Fault Prediction Method for Power Transformers

Abstract: The safe and reliable operation of the power system is an important guarantee for the steady and rapid development of social economy. The safe operation of transformer equipment is the basis for the stability and reliability of the power system, and it is of great significance to the whole system to take effective measures to make accurate predictions of abnormal conditions or faults inside the transformer. Therefore, this paper proposes a data-driven fault prediction method for oil-filled transformers, combining association rules, gray prediction model and random forest algorithm to achieve fault mode and location prediction through four stages: feature parameter sets selection, fine-grained feature parameters selection, feature parameters trend prediction and fault classification. Based on the actual data collected, the accuracy and effectiveness of the method are verified by two groups of experiments, which is beneficial to the practical application of engineering, and to a certain extent improves the automation level of equipment maintenance.

Research on Power Grid Project Cost and Management Evaluation Method

Abstract: In view of the problem that the cable joint looseness or other mechanical abnormalities in the high-voltage distribution cabinet is difficult to predict in time, through this project, the corresponding relationship between the comprehensive information sensing data in the high-voltage distribution cabinet and the mechanical strength weakening of the cable joint is studied, and the early warning method of joint looseness is established to improve the operation reliability of the distribution cableIn order to deeply study the characteristics of loose electrical connection fault of bolted cable and realize effective fault identification, taking bolted cable joint as the research object, the loose fault test under different loose degree and different current conditions was carried out by using cable joint loosening fault test platform. Based on the principle of fuzzy structural element, according to the influence factors of current, power factor and vibration state of cable joint, the structural element expression of fuzzy comprehensive evaluation is given, and the loose fault of bolted cable joint is comprehensively evaluated. The results show that the method can effectively identify the loose state of bolted cable joint, and provide theoretical basis for detection and protection of loose fault.

Key Technologies of Noise Monitoring for Multi-channel Signal Transmission in Whole Network Communication Signal Strengths

Abstract: According to the standard noise measurement technology of multi-channel signal transmission in full network communication, the key technology of multi-channel signal transmission noise monitoring in all network communication is put forward. Through the signal transmission environment noise signal acquisition, the whole network communication multi-channel signal transmission noise remote real-time monitoring, historical data view, over-standard alarm and field storage and other functions of processing. The structure and operation steps of the multi-channel signal transmission noise detection equipment are optimized. Finally, it is proved by experiments that the multi-channel signal transmission noise monitoring technology of all-network communication has better effect in the practical application process. To meet the research requirements.

Design of counselor student management system based on competency model

Abstract: In order to solve the problems of low satisfaction of teachers and students and long response time in traditional student management system of counselors, this paper designs a counselor student management system based on competency model. The system hardware consists of student management module, counselor management module, student funding management module, community management module, reward and punishment management module. On the basis of hardware design, software design is carried out to analyze the components of competency model, so as to construct the competency model of counselors. Combined with the normalized processing results of model elements, the evaluation results of counselors are output. The experimental results show that the satisfaction of teachers and students is higher, and the response time of the system is shorter.

Research on the Sharing Model of University Archives Information Resources Based on Cloud Computing

Abstract: In order to overcome the security and integrity problems of the traditional university file information resource sharing model, the paper proposes a new cloud computing-based university file information resource sharing model. Supported by the cloud computing system architecture, the use of cloud computing search algorithms to fully excavate university archives information resources to realize the comprehensive sharing of university information archives, and calculate the utility parameters of university archives information resource sharing based on the mining results of cloud computing, and build a communication consumption matrix for the sharing of archives information resources in colleges and universities, and complete the construction of the sharing model of archives information resources in colleges. The comparative experiment results show that compared with the traditional sharing model, the intrusion rate and sharing transmission loss of the constructed sharing model are significantly reduced, indicating that the constructed model can effectively realize the sharing of archive information resources in universities and ensure the integrity and safety of archives.

Application of 3D hydrodynamic mathematical model in deep water channel of Binzhou port

Abstract: Based on the three dimensional FVCOM model, hydrodynamics of Binzhou port sea area was simulated with and without the 50000 DWT channel project. The results show that, the implementation of the 50000 DWT channel project does not change the law of tidal current movement in large-scale sea area, and the change occurs near the project. Compared with the present situation, after the implementation of the project, in the channel shield section, the velocity increases and the cross flow decreases. It is helpful to reduce channel siltation.

Piezoelectric active vibration control method of rigid flexible hybrid manipulator based on PSO

Abstract: In order to solve the problems of parameter optimization effectiveness and low control accuracy of traditional piezoelectric control method for rigid flexible hybrid manipulator, a new active piezoelectric control method for rigid flexible hybrid manipulator based on PSO is proposed in this paper. According to the optimization performance of particle swarm optimization, the vibration parameters of rigid flexible hybrid manipulator are optimized by particle swarm optimization. Based on the optimized vibration parameters of the rigid flexible hybrid manipulator, the mean value of vibration intensity and the amount of piezoelectric charge in the stationary phase of the vibration signal of the manipulator are calculated, and the piezoelectric active control equation of the manipulator is constructed. Under the initial constraints, the piezoelectric active control equation of the manipulator is solved to complete the piezoelectric active control of the rigid flexible hybrid manipulator. The experimental results show that the proposed method can effectively optimize the vibration parameters of the manipulator, and has high vibration control accuracy and strong practicability.