Graphical power system analysis software gradually replaces the software that manually generates data files. The power system plant and station wiring diagram is an indispensable module in the graphical power system analysis and calculation software [1]. The process of converting the physical model represented by the system wiring diagram to the logical model of the power system. The process of pattern-to-model conversion can be further refined into three steps. 1) Analysis of connection relationship. The task is to analyze the connection of various power components in the electrical main wiring diagram of the plant. We use this to divide the component number. 2) Analysis of plant and station connection. The task is to analyze how many computing nodes are connected by closed switches to electrical nodes in the plant. We use this to divide the calculation node number. 3) System network analysis. The task is to analyze how many subsystems the computing nodes of the whole system are connected by branches [2]. We use this to divide the system number (island number). Plant-station connection analysis and system network analysis are collectively referred to as power system network topology analysis.

There is no unified and mature algorithm for analyzing connection relationships in academia. At present, the traditional method for analyzing plant and station connections is to rely on the depth search or breadth search strategy. We use the search method to backtrack the frame [3]. At the same time, we use the stack record to divide the process. Since the existence program of backtracking inevitably adopts the form of recursion or recursion, we need to implement programming maintenance. Based on object technology, the author proposes a method of graph-to-mode conversion analysis with the basic idea of set division. This method has the following advantages:

We use a unified thinking model to deal with connection relationship analysis, plant-station connection analysis, and system network analysis. And the system solves the problem of connection relationship analysis well.

The basic idea of this method is simple and simple. At the same time, the algorithm avoids recursive or recursive implementations. The method is easy to maintain and has good space-time efficiency. It has strong practical value.

A set is defined as a cluster of elements. The members of a set can be single elements or sets. The basic idea of set division is to combine elements of the same attribute into the same set. The basic flow of the algorithm is to process the element management set to be divided. The final output of the algorithm is many sets [4]. The elements in each collection have some of the same properties. Suppose there are

_{i}

_{i1},_{i2}, ⋯, _{im}_{1} < _{2} < ⋯ < _{m}

_{i})) AND (NOT (X ∈ S_{i})),

Where

The element

The element _{i1},_{i2}, ⋯, _{im}_{1} < _{2} ⋯ < _{m}_{i1} = _{i1}⋃_{i2}⋃⋯_{im}_{i2},⋯,_{im}; _{i1} = _{i1} when

There is no direct connection between the element

When dividing the first element, there is no set (

The terminals of switches, transformers, generators, loads, etc., and busbars in the primary wiring diagram of the plant, are called components. The purpose of the connection relationship analysis is to assign a uniform number to the components with direct electrical connection on the graph according to the plant-station wiring diagram [6]. Taking the electrical wiring diagram shown in Figure 1 as an example, some results of the connection relationship analysis are as follows.

Electrical junction {busbar segment 1, breaker 1, breaker 4, breaker 7}

Electrical junction {breaker 1, breaker 2}

The power components in the primary wiring diagram are divided into categories according to their electrical characteristics and graphic characteristics [7]. We can roughly divide them into two categories:

Linear components include busbars, connecting wires, and current transformers. The line segment is the element to be analyzed in the connection relationship analysis. This article refers to the device line segment.

Block elements. All power devices except linear components are collectively referred to as bulk components. Each block element has 1~3 connection terminals. This article refers to the device endpoint. The element to be analyzed in the connection relationship analysis of the block component is the device endpoint [8]. We marked the main electrical wiring diagram shown in Figure 1 with the device endpoints and line segments as shown in Figure 2.

The essence of connection relationship analysis is to analyze the connection status between primitives. The objects of analytical processing are points and line segments in graphics. We do element numbering through point, line analysis. The basis for the above division of power devices is as follows: a block element with n electrical terminals simultaneously belongs to n different electrical nodes [9]. It is shown in circuit breaker 1 in Figure 1. It belongs to the electrical node 1 and the electrical node 2 line element simultaneously. It belongs to one and only one electrical junction due to its inherent impedance-free connectivity. The introduction of face technology makes it possible to describe the properties of things and their behaviors as a whole. Construct the electrical node classes shown in Table 1.

Electrical Node Class Data Structure

Electrical Node Class Properties | Electrical Junction Class Methods |
---|---|

Device Set C | Merge information in electrical nodes |

Device Endpoint Collection | Determine the relationship between the device endpoint and this electrical node |

Device Segment Collection | Determine the relationship between the device line segment and this electrical node |

The electrical node 1 in Table 1 can be described as: Component set={breaker 1, breaker 4, breaker 7, bus I section}; PointSet= {_{1}, _{5}, _{9}}; Lineset 1 {_{1}}.

We create a set of electrical nodes.

We sequentially traverse the power devices in the wiring diagram of the plant once. We take out a power device object and set it as a Component. We judge the type of power device corresponding to the component. If it is a block component, go to step c. Otherwise, it is a line element and goes to step d.

We take the

Create a device line segment object according to the specific line type device category. Let’s make it line. 1. _{1}, _{2}, ⋯, _{m} (_{1} < _{2} < ⋯ < _{m}) collection of electrical nodes along with the calendar. We call the IS Line Belong to This Node function for each electrical node object in the electrical node collection. 2. If there is a device endpoint in the set of device endpoints in electrical node A that satisfies the condition of falling on the line, then electrical node _{1} = , electrical node _{1} ⋃, electrical node _{2} ⋃ ⋯ ⋃, electrical node _{m}. And we remove _{2}, _{3}, ⋯, _{m} from the electrical node-set. We add the electrical component Component to the component collection of the merged electrical node. We add the segment line to the device segments for this electrical node. 3. Dynamically generate the electrical node object NewENode. We add the power device Component to the NewENode’s device collection. We add the line segment line to the NewENode’s device line segment collection. We add NewENode to the electrical node collection.

If the traversal of the power device ends, the algorithm aborts. Otherwise, it goes to step b.

I was hoping you could assume that the order of power device analysis is circuit breaker 1, circuit breaker 4, busbar section I, circuit breaker 7, circuit breaker 2 ⋯ Initialization: electrical node-set = Ø. The element to be analyzed for circuit breaker 1 is _{1}, _{2}. After analyzing _{1} _{2} in turn, we get the set of electrical nodes = {electrical node 1, electrical node 2}. Its description is shown in Table 2.

Set of electrical nodes after the first connection analysis

Electrical Junction 1 | Electrical Junction 2 |
---|---|

Component set={circuit breaker 1} | Component set={circuit breaker 1} |

PointSet={P_{1}} |
PointSet={P_{2}} |

Lineset = Ø | Lineset = Ø |

The element to be analyzed for circuit breaker 4 is _{5}, _{6}. After analyzing _{5}, _{6} in turn, the set of electrical nodes = {electrical node 1, electrical node 2, electrical node 3, electrical node 4}. Its description is shown in Table 3.

Set of electrical nodes after the second connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component Set= {circuit breaker 1} | Component Set= {circuit breaker 2} | Component Set= {circuit breaker 3} | Component Set= {circuit breaker 4} |

Point Set={P1} | Point Set={P2} | Point Set={P5} | Point Set={P6} |

Lineset = Ø | Lineset = Ø | Lineset = Ø | Lineset = Ø |

The element to be analyzed in the I section of the busbar is _{1}. Because _{1}, _{5} satisfies the condition to fall on _{1}, there is a merger of electrical junction 1 and electrical junction 3. After we analyze the I section of the busbar. We get the electrical node-set = {electrical node 1, electrical node 2, electrical node 3}. Its description is shown in Table 4.

Set of electrical nodes after the third connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 |
---|---|---|

Component set={circuit breaker 1, circuit breaker 4, Bus I Section} | Component Set={circuit breaker 1} | Component Set={circuit breaker 2} |

PointSet={P_{1}P_{5}} |
PointSet={P_{2}} |
PointSet={P_{6}} |

Lineset={L_{1}} |
Lineset = Ø | Lineset = Ø |

The element to be analyzed for circuit breaker 7 is _{9}, _{10}. We analyze _{9}, _{10} in turn where _{9} falls on segment _{1} in the electrical junction 1 device segment set. After analyzing circuit breaker 7, we get the set of electrical nodes = {electrical node 1, electrical node 2, electrical node 3, electrical node 4}. Its description is shown in Table 5.

Set of electrical nodes after the fourth connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component set={Breaker 1, Breaker 4, Bus Section I, Breaker 7} | Component set={circuit breaker 1} | Component set={circuit breaker 4} | Component set=={circuit breaker 7} |

PointSet={P1, P5, P9} | PointSet={P2} | PointSet={P6} | PointSet={P10} |

Lineset={L1} | Lineset = Ø | Lineset = Ø | Lineset = Ø |

The element to be analyzed for circuit breaker 2 is _{2}, _{3}. We analyze _{2}, _{3} in turn. where _{2} is hit by us in the electrical junction 2 device endpoint set. After we analyze circuit breaker 2, we get the set of electrical nodes = {electrical node 1, electrical node 2, electrical node 3, electrical node 4, electrical node 5}. Its description is shown in Table 6. According to the above analogy, it is found that after the analysis of the connection relationship, the electrical nodes are divided as follows: electrical node-set = {electrical node 1, electrical node 2, electrical node 3, electrical node 4, electrical node 5, electrical node 6, electrical node 7, electrical node 8}, whose description is shown in Table 7.

Set of electrical nodes after the fifth connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 | Electrical Junction 5 |
---|---|---|---|---|

Component set ={Circuit breaker 1, circuit breaker 4, busbar section I, circuit breaker 7} | Component set={circuit breaker 1, circuit breaker 2} | Component set ={circuit breaker 4} | Component set ={circuit breaker 7} | Component set ={circuit breaker 2} |

Point Set={P_{1,} P_{5,} P_{9}} |
Point Set ={P_{2}} |
Point Set ={P_{6}} |
Point Set ={P_{10}} |
Point Set ={P_{3}} |

LineSet={L_{1}} |
LineSet = Ø | LineSet = Ø | LineSet = Ø | LineSet = Ø |

Final results after connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component set ={Breaker 1, Breaker 4, Breaker 7} | Component set ={circuit breaker 1, circuit breaker 2} | Component set ={circuit breaker 4, circuit breaker 5} | Component set ={circuit breaker 7, circuit breaker 8} |

Point Set ={P1,P5,P9} | Point Set ={P2} | Point Set ={P6} | Point Set ={P10} |

LineSet={L1} | LineSet = Ø | LineSet = Ø | LineSet = Ø |

Electrical Junction 5 | Electrical Junction 6 | Electrical Junction 7 | Electrical Junction 8 |
---|---|---|---|

Component set={circuit breaker 2, circuit breaker 3} | Component set={circuit breaker 5, circuit breaker 6} | Component set={circuit breaker 8, circuit breaker 9} | Component set={Circuit breaker 3, circuit breaker 6, circuit breaker 9, busbar section II} |

PointSet={P3} | PointSet={P7} | PointSet={P11} | PointSet={P4, P8, P12} |

LineSet = Ø | LineSet = Ø | LineSet = Ø | LineSet={L2} |

The main electrical wiring diagram shown in Figure 1 has undergone connection analysis. We marked the electrical node numbers in the figure as shown in Figure 3.

The graph model in graph theory can represent the mathematical model of power system network topology analysis. From graph theory, a graph can be defined as a binary relation. The pair of vertex sets and edge sets is denoted (

We use traditional breadth-first search (BFS) or depth-first search (DFS) to process plant-site tie-line analysis. Since the algorithm itself is based on search and backtracking, its implementation must be a recursive or recursive structure. We only need to traverse the switching device information sequentially when we use the method of set division to deal with the wiring of the plant and station. Therefore, we believe that the implementation and maintenance of the process using the sequential loop is relatively simple.

We build switch info sheets. Each record in the table represents information for one switching device [12]. The information of the switch includes the name of the switch, the on-off state of the switch, and the electrical node numbers corresponding to the two device endpoints of the switch. We construct computational node classes (Table 8).

Compute node data structure

Calculate node class properties | Calculate the node class method |

Collection of electrical junctions | Merge calculation node information |

We treat the electrical junctions across the disconnected switching element separately. The electrical nodes at both ends of the closed switching element should be regarded as a whole to apply the method of set division proposed in Section 1.

Establish a set of computing nodes. Initially, the set of computational nodes is empty.

Establish a circular sequence to read the switch information in the switch information table.

We take a switch information record from the switch information table. Assuming that the electrical node number of its two device endpoints is _{1}, _{2}, if the switch is closed, go to step d; otherwise, go to step e.

Traverse, the calculation node information, stored in the calculation node-set and analyze the calculation node number corresponding to electrical node _{1}, _{2} : 1. If electrical node A has not been assigned a calculation node number, we create an object dynamically. We add _{1} (_{2}) to the object’s Electric Node Set to the compute node-set. At this point, we go to step f. 2. If electrical node _{1} (_{2}) has been assigned a calculation node number, and electrical node _{2} (_{1}) has not been assigned an electrical node number [13]. We take out the computing node object to which the electrical node _{1} (_{2}) belongs from the computing node-set and add the electrical node _{2} (_{1}) to the object’s Electric Node Set. At this point, we go to step f.

Traverse the computing node objects stored in the computing node-set. We analyze the calculation nodes corresponding to the electrical node _{1}, _{2} separately. If an electrical node _{1} (or _{2}) has not yet been assigned a calculation node number, a calculation node object is dynamically generated. We add _{1} (or _{2}) to the object’s Electric NodeSet and add it to the compute node-set. At this point, we go to step f.

The algorithm aborts if the traversal of the switch information table ends. Otherwise, we go to step c.

The calculation example takes the primary main wiring diagram after the analysis of the connection relationship shown in Figure 3 as an example [14]. The order of the switch information in the switch information table is circuit breaker 7, circuit breaker 4, circuit breaker 6, circuit breaker 5⋯ . The node set is calculated initially, and the node set is calculated after analyzing each switch sequentially as follows. After analyzing circuit breaker 7, the set of calculation nodes = {calculation node 1, calculation node 2}. Calculate node 1, ElectricNodeSet={l}. Calculate node 2, ElectricNodeSet={4}. After analyzing circuit breaker 4, we get: calculation node set = {calculation node 1, calculation node 2}. Computing node 1, ElectricNodeSet={1,3}; computing node 2, ElectricNodeSet={4}. After analyzing circuit breaker 6, the set of calculation nodes = {calculation node 1, calculation node 2, calculation node 3}. Calculate node 1, ElectricNodeSet={1,3}. Calculate node 2, ElectricNodeSet={4}. Calculate node 3, ElectricNodeSet={6,8}.

After analyzing circuit breaker 5, the set of calculation nodes = {calculation node 1, calculation node 2}. Calculate node 1, ElectricNodeSet={1,3,6,8}. Calculate node 2, ElectricNodeSet={4}. The calculation nodes are divided into calculation node sets = {calculation node 1, calculation node 2} after the plant-station connection analysis. For computing node 1, ElectricNodeSet={1,3,6,8,2,5}. For computing node 2, ElectricNodeSet={4,7}.

We approach the power system graph-mode conversion problem with a set partitioning approach (Fig. 4).

The set partitioning method is simple and easy to implement and has strong operability. We adopt it to deal with the problem of power system graph-mode conversion. This method avoids the problem of stack usage and maintenance that the search algorithm cannot overcome. To speed up the analysis and judgment of the relationship between the elements to be processed and the existing set, we can also use some auxiliary variables to record the current division of the elements. Overall, the algorithm has good space-time efficiency.

#### Set of electrical nodes after the fourth connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component set={Breaker 1, Breaker 4, Bus Section I, Breaker 7} | Component set={circuit breaker 1} | Component set={circuit breaker 4} | Component set=={circuit breaker 7} |

PointSet={P1, P5, P9} | PointSet={P2} | PointSet={P6} | PointSet={P10} |

Lineset={L1} | Lineset = Ø | Lineset = Ø | Lineset = Ø |

#### Electrical Node Class Data Structure

Electrical Node Class Properties | Electrical Junction Class Methods |
---|---|

Device Set C | Merge information in electrical nodes |

Device Endpoint Collection | Determine the relationship between the device endpoint and this electrical node |

Device Segment Collection | Determine the relationship between the device line segment and this electrical node |

#### Set of electrical nodes after the second connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component Set= {circuit breaker 1} | Component Set= {circuit breaker 2} | Component Set= {circuit breaker 3} | Component Set= {circuit breaker 4} |

Point Set={P1} | Point Set={P2} | Point Set={P5} | Point Set={P6} |

Lineset = Ø | Lineset = Ø | Lineset = Ø | Lineset = Ø |

#### Set of electrical nodes after the third connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 |
---|---|---|

Component set={circuit breaker 1, circuit breaker 4, Bus I Section} | Component Set={circuit breaker 1} | Component Set={circuit breaker 2} |

PointSet={P_{1}P_{5}} |
PointSet={P_{2}} |
PointSet={P_{6}} |

Lineset={L_{1}} |
Lineset = Ø | Lineset = Ø |

#### Final results after connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 |
---|---|---|---|

Component set ={Breaker 1, Breaker 4, Breaker 7} | Component set ={circuit breaker 1, circuit breaker 2} | Component set ={circuit breaker 4, circuit breaker 5} | Component set ={circuit breaker 7, circuit breaker 8} |

Point Set ={P1,P5,P9} | Point Set ={P2} | Point Set ={P6} | Point Set ={P10} |

LineSet={L1} | LineSet = Ø | LineSet = Ø | LineSet = Ø |

#### Set of electrical nodes after the first connection analysis

Electrical Junction 1 | Electrical Junction 2 |
---|---|

Component set={circuit breaker 1} | Component set={circuit breaker 1} |

PointSet={P_{1}} |
PointSet={P_{2}} |

Lineset = Ø | Lineset = Ø |

#### Compute node data structure

Calculate node class properties | Calculate the node class method |

Collection of electrical junctions | Merge calculation node information |

#### Set of electrical nodes after the fifth connection analysis

Electrical Junction 1 | Electrical Junction 2 | Electrical Junction 3 | Electrical Junction 4 | Electrical Junction 5 |
---|---|---|---|---|

Component set ={Circuit breaker 1, circuit breaker 4, busbar section I, circuit breaker 7} | Component set={circuit breaker 1, circuit breaker 2} | Component set ={circuit breaker 4} | Component set ={circuit breaker 7} | Component set ={circuit breaker 2} |

Point Set={P_{1,} P_{5,} P_{9}} |
Point Set ={P_{2}} |
Point Set ={P_{6}} |
Point Set ={P_{10}} |
Point Set ={P_{3}} |

LineSet={L_{1}} |
LineSet = Ø | LineSet = Ø | LineSet = Ø | LineSet = Ø |

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Limit cycles of a generalised Mathieu differential system Influence of displacement ventilation on the distribution of pollutant concentrations in livestock housing Application of data mining in basketball statistics The nonlinear effects of ageing on national savings rate – An Empirical Study based on threshold model Design of fitness walker for the elderly based on ergonomic SAPAD model AtanK-A New SVM Kernel for Classification Mechanical behaviour of continuous girder bridge with corrugated steel webs constructed by RW Study of a linear-physical-programming-based approach for web service selection under uncertain service quality The Relationship Between College Students’ Taekwondo Courses and College Health Based on Mathematical Statistics Equations Analysis and countermeasures of cultivating independent learning ability in colleges teaching English based on OBE theory A mathematical model of plasmid-carried antibiotic resistance transmission in two types of cells Fractional Differential Equations in the Exploration of Geological and Mineral Construction AdaBoost Algorithm in Trustworthy Network for Anomaly Intrusion Detection Projection of Early Warning Identification of Hazardous Sources of Gas Explosion Accidents in Coal Mines Based on NTM Deep Learning Network Burnout of front-line city administrative law-enforcing personnel in new urban development areas: An empirical research in China Enterprise Financial Risk Early Warning System Based on Structural Equation Model A Study on the Application of Quantile Regression Equation in Forecasting Financial Value at Risk in Financial Markets Fractional Differential Equations in the Model of Vocational Education and Teaching Practice Environment Information transmission simulation of Internet of things communication nodes under collision free probability equation Image denoising model based on improved fractional calculus mathematical equation Random Fourier Approximation of the Kernel Function in Programmable Networks The Complexity of Virtual Reality Technology in the Simulation and Modeling of Civil Mathematical Models University Library Lending System Model Based on Fractional Differential Equations Calculation and Performance Evaluation of Text Similarity Based on Strong Classification Features Intelligent Matching System of Clauses in International Investment Arbitration Cases Based on Big Data Statistical Model Evaluation and Verification of Patent Value Based on Combination Forecasting Model Financial Institution Prevention Financial Risk Monitoring System Under the Fusion of Partial Differential Equations Prediction and Analysis of ChiNext Stock Price Based on Linear and Non-linear Composite Model Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises The Psychological Memory Forgetting Model Based on the Analysis of Linear Differential Equations Optimization Simulation System of University Science Education Based on Finite Differential Equations The Law of Large Numbers in Children's Education Optimization System of Strength and Flexibility Training in Aerobics Course Based on Lagrangian Mathematical Equation Data structure simulation for the reform of the teaching process of university computer courses RETRACTION NOTE Research on the mining of ideological and political knowledge elements in college courses based on the combination of LDA model and Apriori algorithm Research on non-linear visual matching model under inherent constraints of images Good congruences on weakly U-abundant semigroups Can policy coordination facilitate unimpeded trade? An empirical study on factors influencing smooth trade along the Belt and Road Research on the processing method of multi-source heterogeneous data in the intelligent agriculture cloud platform Internal control index and enterprise growth: An empirical study of Chinese listed-companies in the automobile manufacturing industry Research on design of customer portrait system for E-commerce Research on rule extraction method based on concept lattice of intuitionistic fuzzy language Fed-UserPro: A user profile construction method based on federated learning A multi-factor Regression Equation-based Test of Fitness Maximal Aerobic Capacity in Athletes Design and evaluation of intelligent teaching system on basic movements in PE Garment Image Retrieval based on Grab Cut Auto Segmentation and Dominate Color Method Financial Risk Prediction and Analysis Based on Nonlinear Differential Equations Constructivist Learning Method of Ordinary Differential Equations in College Mathematics Teaching Multiple Effects Analysis of Hangzhou Issuing Digital Consumer Coupons Based on Simultaneous Equations of CDM Model Response Model of Teachers’ Psychological Education in Colleges and Universities Based on Nonlinear Finite Element Equations A Hybrid Computational Intelligence Method of Newton's Method and Genetic Algorithm for Solving Compatible Nonlinear Equations Pressure Image Recognition of Lying Positions Based on Multi-feature value Regularized Extreme Learning Algorithm English Intelligent Question Answering System Based on elliptic fitting equation Precision Machining Technology of Jewelry on CNC Machine Tool Based on Mathematical Modeling Application Research of Mathematica Software in Calculus Teaching Computer Vision Communication Technology in Mathematical Modeling Skills of Music Creation Based on Homogeneous First-Order Linear Partial Differential Equations Mathematical Statistics Technology in the Educational Grading System of Preschool Students Music Recommendation Index Evaluation Based on Logistic Distribution Fitting Transition Probability Function Children's Educational Curriculum Evaluation Management System in Mathematical Equation Model Query Translation Optimization and Mathematical Modeling for English-Chinese Cross-Language Information Retrieval The Effect of Children’s Innovative Education Courses Based on Fractional Differential Equations Fractional Differential Equations in the Standard Construction Model of the Educational Application of the Internet of Things Optimization research on prefabricated concrete frame buildings based on the dynamic equation of eccentric structure and horizontal-torsional coupling Optimization in Mathematics Modeling and Processing of New Type Silicate Glass Ceramics Green building considering image processing technology combined with CFD numerical simulation Research on identifying psychological health problems of college students by logistic regression model based on data mining Abnormal Behavior of Fractional Differential Equations in Processing Computer Big Data Mathematical Modeling Thoughts and Methods Based on Fractional Differential Equations in Teaching Research on evaluation system of cross-border E-commerce platform based on the combined model A mathematical model of PCNN for image fusion with non-sampled contourlet transform Nonlinear Differential Equations in Computer-Aided Modeling of Big Data Technology The Uniqueness of Solutions of Fractional Differential Equations in University Mathematics Teaching Based on the Principle of Compression Mapping Financial customer classification by combined model Influence of displacement ventilation on the distribution of pollutant concentrations in livestock housing Recognition of Electrical Control System of Flexible Manipulator Based on Transfer Function Estimation Method Automatic Knowledge Integration Method of English Translation Corpus Based on Kmeans Algorithm Real Estate Economic Development Based on Logarithmic Growth Function Model Design of Tennis Mobile Teaching Assistant System Based on Ordinary Differential Equations Financial Crisis Early Warning Model of Listed Companies Based on Fisher Linear Discriminant Analysis High Simulation Reconstruction of Crowd Animation Based on Optical Flow Constraint Equation Construction of Intelligent Search Engine for Big Data Multimedia Resource Subjects Based on Partial Least Squares Structural Equation 3D Animation Simulation of Computer Fractal and Fractal Technology Combined with Diamond-Square Algorithm Analysis of the Teaching Quality of Physical Education Class by Using the Method of Gradient Difference The Summation of Series Based on the Laplace Transformation Method in Mathematics Teaching Optimal Solution of the Fractional Differential Equation to Solve the Bending Performance Test of Corroded Reinforced Concrete Beams under Prestressed Fatigue Load Animation VR scene mosaic modeling based on generalized Laplacian equation Radial Basis Function Neural Network in Vibration Control of Civil Engineering Structure Optimal Model Combination of Cross-border E-commerce Platform Operation Based on Fractional Differential Equations The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation Research on Stability of Time-delay Force Feedback Teleoperation System Based on Scattering Matrix BIM Building HVAC Energy Saving Technology Based on Fractional Differential Equation Construction of comprehensive evaluation index system of water-saving irrigation project integrating penman Montei the quation Human Resource Management Model of Large Companies Based on Mathematical Statistics Equations Data Forecasting of Air-Conditioning Load in Large Shopping Malls Based on Multiple Nonlinear Regression Analysis of technical statistical indexes of college tennis players under the win-lose regression function equation Automatic extraction and discrimination of vocal main melody based on quadratic wave equation Analysis of wireless English multimedia communication based on spatial state model equation Optimization of Linear Algebra Core Function Framework on Multicore Processors Application of hybrid kernel function in economic benefit analysis and evaluation of enterprises Research on classification of e-commerce customers based on BP neural network The Control Relationship Between the Enterprise's Electrical Equipment and Mechanical Equipment Based on Graph Theory Mathematical Modeling and Forecasting of Economic Variables Based on Linear Regression Statistics Nonlinear Differential Equations in Cross-border E-commerce Controlling Return Rate 3D Mathematical Modeling Technology in Visualized Aerobics Dance Rehearsal System Fractional Differential Equations in Electronic Information Models BIM Engineering Management Oriented to Curve Equation Model Leakage control of urban water supply network and mathematical analysis and location of leakage points based on machine learning Analysis of higher education management strategy based on entropy and dissipative structure theory Prediction of corporate financial distress based on digital signal processing and multiple regression analysis Mathematical Method to Construct the Linear Programming of Football Training Multimedia sensor image detection based on constrained underdetermined equation The Size of Children's Strollers of Different Ages Based on Ergonomic Mathematics Design Application of Numerical Computation of Partial Differential Equations in Interactive Design of Virtual Reality Media Stiffness Calculation of Gear Hydraulic System Based on the Modeling of Nonlinear Dynamics Differential Equations in the Progressive Method Knowledge Analysis of Charged Particle Motion in Uniform Electromagnetic Field Based on Maxwell Equation Relationship Between Enterprise Talent Management and Performance Based on the Structural Equation Model Method Term structure of economic management rate based on parameter analysis of estimation model of ordinary differential equation Influence analysis of piano music immersion virtual reality cooperation based on mapping equation Chinese painting and calligraphy image recognition technology based on pseudo linear directional diffusion equation Label big data compression in Internet of things based on piecewise linear regression Animation character recognition and character intelligence analysis based on semantic ontology and Poisson equation Design of language assisted learning model and online learning system under the background of artificial intelligence Study on the influence of adolescent smoking on physical training vital capacity in eastern coastal areas Application of machine learning in stock selection Comparative analysis of CR of ideological and political education in different regions based on improved fuzzy clustering Action of Aut( G ) on the set of maximal subgroups ofp -groupsThe internal mechanism of corporate social responsibility fulfillment affecting debt risk in China: analysis of intermediary transmission effect based on degree of debt concentration and product market competitive advantage Study on transmission characteristics in three kinds of deformed finlines based on edge-based finite element method Asymptotic stability problem of predator–prey system with linear diffusion Research on loyalty prediction of e-commerce customer based on data mining Algebraic Equations in Educational Model of College Physical Education Course Education Professional English Translation Corpus Under the Binomial Theorem Coefficient Geometric Tolerance Control Method for Precision Machinery Based on Image Modeling and Novel Saturation Function Retrieval and Characteristic Analysis of Multimedia Tester Based on Bragg Equation Semiparametric Spatial Econometric Analysis of Household Consumption Based on Ordinary Linear Regression Model Video adaptive watermark embedding and detection algorithm based on phase function equation English Learning Motivation of College Students Based on probability Distribution Scientific Model of Vocational Education Teaching Method in Differential Nonlinearity Research on mobile Awareness service and data privacy Protection based on Linear Equations computing protocol Vocal Music Teaching Model Based on Finite Element Differential Mathematical Equations Studying a matching method combining distance proximity and buffer constraints The trend and influence of media information Propagation based on nonlinear Differential equation Research on the construction of early warning model of customer churn on e-commerce platform Evaluation and prediction of regional human capital based on optimised BP neural network Study on inefficient land use determination method for cities and towns from a city examination perspective A sentiment analysis method based on bidirectional long short-term memory networks A study of local smoothness-informed convolutional neural network models for image inpainting Mathematical Calculus Modeling in Improving the Teaching Performance of Shot Put Application of Nonlinear Differential Equation in Electric Automation Control System Higher Mathematics Teaching Curriculum Model Based on Lagrangian Mathematical Model Computational Algorithm to Solve Two–Body Problem Using Power Series in Geocentric System Decisions of competing supply chain with altruistic retailer under risk aversion Optimization of Color Matching Technology in Cultural Industry by Fractional Differential Equations The Marketing of Cross-border E-commerce Enterprises in Foreign Trade Based on the Statistics of Mathematical Probability Theory Application of Linear Partial Differential Equation Theory in Guiding Football Scientific Training Nonlinear Channel Estimation for Internet of Vehicles Some Necessary Conditions for Feedback Functions of de Bruijn Sequences The Evolution Model of Regional Tourism Economic Development Difference Based on Spatial Variation Function System Model of Shipping Enterprise Safety Culture Based on Dynamic Calculation Matrix Model An empirical research on economic growth from industrial structure optimisation in the Three Gorges Reservoir area The Inner Relationship between Students' Psychological Factors and Physical Exercise Based on Structural Equation Model (SEM) Analysis and Research on Influencing Factors of Ideological and Political Education Teaching Effectiveness Based on Linear Equation Study of agricultural finance policy information extraction based on ELECTRA-BiLSTM-CRF Fractional Differential Equations in Sports Training in Universities Examination and Countermeasures of Network Education in Colleges and Universities Based on Ordinary Differential Equation Model Innovative research of vertical video creation under the background of mobile communication Higher Education Agglomeration Promoting Innovation and Entrepreneurship Based on Spatial Dubin Model Chinese-English Contrastive Translation System Based on Lagrangian Search Mathematical Algorithm Model Genetic algorithm-based congestion control optimisation for mobile data network