Fan auxiliary detection method and system based on automatic regular detection

Abstract

The invention discloses a fan auxiliary detection method and system based on automatic regular check, and the method is characterized in that the method comprises the steps: 1, obtaining a three-dimensional model of a fan, and enabling a preset detection point position to be inserted into the three-dimensional model; 2, establishing a regular checking path according to the position of a detection point, and inserting the regular checking path into the three-dimensional model; step 3, displaying the three-dimensional model through a display device, adding a positioning system into the display device, and interconnecting the positioning system with the three-dimensional model; step 4, recording a detection result on the display device, sending the detection result to a database, classifying and analyzing the detection result in the database, and generating a fan regular checking period; according to the invention, route navigation is provided for detectors, and the problem of undetected omission in the aloft work process is avoided; period delimitation is provided for regular inspection; detection personnel are assisted to ascend and descend on the fan, and the labor amount is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine generator sets, and more particularly to a wind turbine auxiliary detection method and system based on automatic regular inspection. Background Art

[0002] With the rapid development of the wind power industry, regular inspection has become a common way to maintain wind turbines. During the regular inspection of wind turbines, bolt tightening inspection, component aging inspection and component renewal inspection are often carried out. Due to the high height of wind turbines, operators are inevitably nervous when working at high altitudes, which can easily lead to omissions. For example, if one of the components is forgotten to be inspected, it can only be inspected again, which leads to a large workload and low efficiency.

[0003] In the prior art, intelligent robots are used for regular inspection, but their drawbacks are also obvious; they can only take pictures of each wind turbine component through a camera, and personnel make judgments on the photos sent, and their accuracy is far different from that of manual inspection; and in the commonly used regular inspection methods, annual inspection, monthly inspection or weekly inspection is usually used. Due to the different building locations and climatic environments of wind turbines, it is not guaranteed that the safety of wind turbines can be guaranteed through fixed-period inspections;

[0004] Therefore, how to realize a fan auxiliary detection method and system with high detection accuracy, high efficiency, low personnel pressure and labor, and capable of providing periodic regularity for regular inspection has become a technical problem to be solved in the current technical field. Summary of the invention

[0005] To solve the above problems, the present invention provides the following technical solutions:

[0006] A fan auxiliary detection method based on automatic regular inspection, comprising:

[0007] Step 1: obtaining a three-dimensional model of the wind turbine, and inserting the preset detection point positions into the three-dimensional model;

[0008] Step 2: establishing a fixed inspection path according to the positions of the inspection points, and inserting the fixed inspection path into the three-dimensional model;

[0009] Step 3: displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model;

[0010] Step 4: Record the test results on the display device, send the test results to a database, classify and analyze the test results in the database, and generate a regular inspection cycle for the fan.

[0011] Preferably, in the above-mentioned fan auxiliary detection method based on automatic fixed-time inspection, the step of obtaining a three-dimensional model of the fan and inserting the preset detection point positions into the three-dimensional model includes:

[0012] Step 1: Install scanning components at all directions of the fan, and obtain sampling point data such as the shape of the fan, the positions of the various components of the fan, and the position of the fan body;

[0013] Step 2: Modeling the fan according to the sampling point data to obtain a three-dimensional model with the position of the fan body and the positions of various components of the fan;

[0014] Step three: insert the position information of the components to be inspected of the wind turbine into the three-dimensional model to establish an auxiliary map for this scheduled inspection of the wind turbine.

[0015] Preferably, in the above-mentioned fan auxiliary detection method based on automatic fixed-time inspection, the step of establishing a fixed-time inspection path according to the positions of the detection points and inserting the fixed-time inspection path into the three-dimensional model comprises:

[0016] Step 1: setting the component to be inspected that is closest to the tower as the initial component;

[0017] Step 2, determining the position information of the components to be detected of the wind turbines adjacent to the initial components, and selecting the components to be detected with the shortest distance for connection;

[0018] Step 3, retaining the line, setting the connecting line as the initial component;

[0019] Step 4: Repeat steps 2 to 3 until all the components to be tested of the fan are connected in series.

[0020] Preferably, in the above-mentioned fan auxiliary detection method based on automatic fixed inspection, the step of displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model comprises:

[0021] Step 1: sending the three-dimensional model including the scheduled inspection path to the display device, and displaying the three-dimensional model through the display device;

[0022] Step 2: installing a positioning chip in the display device, the positioning chip being connected to the three-dimensional model, and determining the position of the display device based on the positions of the positioning chip and the wind turbine components in the three-dimensional model;

[0023] Step three, the personnel carry the display device and use the displayed inspection route to navigate the personnel.

[0024] Preferably, in the above-mentioned fan auxiliary detection method based on automatic scheduled inspection, the display device also includes: a tool list is preset for different fan components, and the tools required to be carried during the detection process are displayed according to the position information of the fan components to be detected.

[0025] Preferably, in the above-mentioned fan auxiliary detection method based on automatic scheduled inspection, recording the detection results on the display device, sending the detection results to a database, classifying and analyzing the detection results in the database, and generating a fan scheduled inspection cycle includes:

[0026] Step 1: installing an interactive unit 1 on the display device, for manually entering the detection results into the display device, and transmitting them to a statistical database through the display device;

[0027] Step 2: classify the data in the statistical database according to time, integrate the data within the same time limit into a data set, and name it according to its corresponding detection time;

[0028] Step three: Analyze different data sets, preset the threshold range for detecting corresponding components, generate comparison results by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and this data set.

[0029] Preferably, in the above-mentioned fan auxiliary detection method based on automatic regular inspection, it also includes:

[0030] Step 1: Install the lifting device on the fan;

[0031] Step 2: installing an interactive unit 2 on the display device, wherein the interactive unit 2 is connected to the driving end of the lifting device;

[0032] Step three, when the personnel arrive at the bottom of the wind turbine, the interaction unit 2 is used to control the lifting and lowering of the lifting device to assist the personnel in climbing.

[0033] A fan auxiliary detection system based on automatic scheduled inspection includes a terminal device, wherein the terminal device has a display component and an interactive component and is carried by a person:

[0034] A modeling module, connected to the terminal device, for performing three-dimensional modeling of the wind turbine and sending the three-dimensional model to a display component of the terminal device;

[0035] A path selection module, which is connected to the modeling module through the interactive component of the terminal device, and is used to insert the position data of the detection point into the corresponding position of the three-dimensional model, and connect several detection points to generate a fixed inspection path;

[0036] An auxiliary climbing module, whose driving end is connected to the interactive component of the terminal device, is used to assist personnel in ascending and descending the wind turbine;

[0037] The cycle determination module is connected to the interactive component of the terminal device and is used to analyze the detection data and generate a regular inspection cycle for the fan.

[0038] Preferably, in the above-mentioned fan auxiliary detection system based on automatic scheduled inspection, the modeling module includes a scanning unit, a modeling unit and a transmission unit;

[0039] The scanning units are provided in plurality, all of which are installed on the fan, and are used to obtain the fan sampling point data, including the fan body shape and body position and the branch component shape and component position; the scanning units are provided in a plurality of groups, each group corresponding to a fan;

[0040] The modeling unit is connected to the scanning unit, and generates a three-dimensional model with a distinguishing mark according to the sampling point data and the group number of the scanning unit;

[0041] The transmission unit is used to send the three-dimensional model to the display component;

[0042] The path selection module includes an insertion unit and a route calculation unit;

[0043] The insertion unit is connected to the interactive component and is used to send the position information of the fan component to be inspected in this scheduled inspection to the three-dimensional model, so that the color of the corresponding position of the three-dimensional model changes;

[0044] The route calculation unit is connected to the insertion unit, and a point is taken at the position where the color change occurs in the three-dimensional model, and the component to be detected that is closest to the tower is set as the initial component. The position information of the component to be detected of the wind turbine adjacent to the initial component is determined, and the component to be detected with the shortest distance is selected for connection. After retaining the line, the latter is set as the initial component, and the cycle is repeated until all the components to be detected of the wind turbine are connected in series.

[0045] The auxiliary climbing module includes the driving end, which is connected to the interactive component and is used to operate the interactive component to control the action of the driving end;

[0046] The cycle determination module includes a database, a classification unit and an analysis unit;

[0047] The database is connected to the interactive component, and personnel transmit the test results in the scheduled inspection process to the database through the interactive component, and the database stores the test results;

[0048] The classification unit is connected to the database and is used to classify the test results in the database according to the test time; integrate the data within the same time limit into a data set and name it according to the corresponding test time;

[0049] The analysis unit is connected to the classification unit to analyze different data sets, preset a threshold range for detecting corresponding components, generate a comparison result by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and the current data set.

[0050] Preferably, in the above-mentioned fan auxiliary detection system based on automatic scheduled inspection, the analysis process of the analysis unit includes:

[0051] Calculate the average detection value and average interval days of the previous several detection results, wherein the average detection value is used as the threshold range of each corresponding component;

[0052] Assume that the average detection value is A, the average interval days is B, the current detection value is X, the time interval between the current scheduled inspection and the last scheduled inspection is Y, the detection theoretical value of the next scheduled inspection is E, and the detection period between the next scheduled inspection and the current scheduled inspection is T;

[0053] E = 2A-X;

[0054] T = 2B-Y;

[0055] When the detection value of the next scheduled inspection is significantly different from the theoretical value E of the next scheduled inspection, it means that the component of the surface fan is faulty.

[0056] It can be seen from the above technical solutions that compared with the prior art, the present application has the following beneficial effects:

[0057] 1. The present invention provides route navigation for inspectors to avoid undetected omissions during high-altitude operations;

[0058] 2. The present invention provides periodic delineation for scheduled inspection;

[0059] 3. The present invention assists inspectors in ascending and descending the fan, thereby reducing the workload. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0061] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention. The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0063] In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance; the term "plurality" refers to two or more, unless otherwise clearly defined. The terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] In the description of the present invention, it is necessary to understand that the directions or positional relationships indicated by terms such as “upper”, “lower”, “left”, “right”, “front” and “back” are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation, and therefore, cannot be understood as a limitation on the present invention.

[0065] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0066] Example 1

[0067] In one embodiment, see Figure 1 , a fan auxiliary detection method based on automatic fixed-time inspection, comprising:

[0068] S1, obtaining a three-dimensional model of the wind turbine, and inserting a preset detection point position into the three-dimensional model;

[0069] S2, establishing a fixed inspection path according to the position of the inspection point, and inserting the fixed inspection path into the three-dimensional model;

[0070] S3, displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model;

[0071] S4, recording the test results on the display device, sending the test results to the database, classifying and analyzing the test results in the database, and generating a fan regular inspection cycle.

[0072] The principle of the above embodiment is: by establishing a three-dimensional model of the wind turbine, a map is provided for the operator. Inserting a path in the map is equivalent to navigation for the operator. Through the self-positioning system, the operator can observe in real time where the operator is in the wind turbine and where he should go next; and the periodic pattern is obtained through integrated analysis of the records.

[0073] The beneficial effects of the above embodiments are: providing the operator with a stable, concise and fast path on the fan, inserting various detection points on the path, which can save operation time and ensure the safety of personnel; generating a periodic pattern by recording the detection results, providing an accurate detection cycle for the fan inspection.

[0074] Example 2

[0075] In one embodiment, see Figure 1 , a fan auxiliary detection method based on automatic fixed-time inspection, obtains a three-dimensional model of the fan, and inserts the preset detection point position into the three-dimensional model, including:

[0076] S11, installing scanning components at various positions of the fan, and obtaining sampling point data including the shape of the fan, the positions of various components of the fan, and the position of the fan body;

[0077] S12, modeling the fan according to the sampling point data to obtain a three-dimensional model having the position of the fan body and the positions of various components of the fan;

[0078] S13, inserting the position information of the components to be inspected of the wind turbine into the three-dimensional model, and establishing an auxiliary map for this scheduled inspection of the wind turbine;

[0079] Establishing a fixed inspection path according to the location of the inspection point and inserting the fixed inspection path into the 3D model includes:

[0080] S21, setting the component to be inspected that is closest to the tower as the initial component;

[0081] S22, determining the position information of the components to be detected of the wind turbines adjacent to the initial components, and selecting the components to be detected with the shortest distance for connection;

[0082] S23, retain the line, set the connection line as the initial component;

[0083] S24, repeat S22-S23 until all the components to be tested of the fan are connected in series;

[0084] Displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model includes:

[0085] S31, sending the three-dimensional model including the scheduled inspection path to a display device, and displaying the three-dimensional model through the display device;

[0086] S32, installing a positioning chip in the display device, connecting the positioning chip to the three-dimensional model, determining the position of each component of the wind turbine according to the positioning chip and the three-dimensional model, and obtaining the position of the display device;

[0087] S33, the personnel carry a display device and use the displayed inspection route to guide the personnel;

[0088] Record the test results on the display device, send the test results to the database, classify and analyze the test results in the database, and generate the fan inspection cycle including:

[0089] S41, installing an interactive unit 1 on the display device, for manually entering the detection result into the display device, and transmitting it to the statistical database through the display device;

[0090] S42, classifying the data in the statistical database according to time, integrating the data within the same time limit into a data set, and naming it according to the corresponding detection time;

[0091] S43, analyze different data sets, preset the threshold range for detecting corresponding components, generate comparison results by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and the current data set.

[0092] The beneficial effects of the above embodiment are: different fans, different components and different inspection times are classified, the accuracy of the regular inspection process is improved, and the three-dimensional model is displayed through a portable display device, which can reduce the psychological pressure of the operator during high-altitude operations.

[0093] Example 3

[0094] In one embodiment, see Figure 1, a fan auxiliary detection method based on automatic fixed-time inspection, further comprising:

[0095] S51, installing a lifting device on the fan;

[0096] S52, installing the second interactive unit on the display device, and connecting the second interactive unit to the driving end of the lifting device;

[0097] S53, when the personnel arrive at the bottom of the wind turbine, the lifting device is controlled by the interactive unit 2 to assist the personnel in climbing;

[0098] The display device also includes: a tool list is preset for different wind turbine components, and the tools required to be carried during the detection process are displayed according to the position information of the wind turbine components to be detected.

[0099] The beneficial effects of the above embodiment are: when the operator is on duty, he can inspect the tools required for this scheduled inspection according to the tool list marked on his tool list; by adjusting the portable display device to dispatch the lifting device, the workload of the personnel is reduced and unnecessary lifting consumption is avoided.

[0100] Example 4

[0101] In one embodiment, see Figure 1 , a fan auxiliary detection system based on automatic regular inspection, including a terminal device, the terminal device has a display component and an interactive component, and is carried by a person:

[0102] A modeling module, which is connected to the terminal device and is used to perform three-dimensional modeling of the wind turbine and send the three-dimensional model to a display component of the terminal device;

[0103] A path selection module is connected to the modeling module through the interactive component of the terminal device, and is used to insert the position data of the detection point into the corresponding position of the three-dimensional model, and connect several detection points to generate a fixed inspection path;

[0104] An auxiliary climbing module, whose driving end is connected to the interactive component of the terminal device, is used to assist personnel in ascending and descending the wind turbine;

[0105] The cycle determination module is connected to the interactive component of the terminal device and is used to analyze the detection data and generate a regular inspection cycle for the fan.

[0106] The principle of the above embodiment is: by establishing a three-dimensional model of the wind turbine, a map is provided for the operator. Inserting a path in the map is equivalent to navigation for the operator. Through the self-positioning system, the operator can observe in real time where the operator is in the wind turbine and where he should go next; and the periodic pattern is obtained through integrated analysis of the records.

[0107] The beneficial effect of the above embodiment is to provide a systematic organic interconnection for realizing auxiliary detection of wind turbines.

[0108] Example 5

[0109] In one embodiment, see Figure 1 ,A fan auxiliary detection system based on automatic fixed inspection, the modeling module includes a scanning unit, a modeling unit and a transmission unit;

[0110] There are multiple scanning units, all installed on the fan, for obtaining the fan sampling point data, including the fan body shape and body position and the branch component shape and component position; there are several groups of scanning units, each group corresponds to a fan;

[0111] The modeling unit is connected to the scanning unit, and generates a three-dimensional model with a distinguishing mark according to the sampling point data and the group number of the scanning unit;

[0112] The transmission unit is used to send the three-dimensional model to the display component;

[0113] The path selection module includes an insertion unit and a route calculation unit;

[0114] The insertion unit is connected to the interactive component and is used to send the position information of the fan components to be inspected in this scheduled inspection to the three-dimensional model, so that the color of the corresponding position of the three-dimensional model changes;

[0115] The route calculation unit is connected to the insertion unit, and a point is taken at the position where the color change occurs in the three-dimensional model, and the component to be detected that is closest to the tower is set as the initial component. The position information of the component to be detected of the wind turbine adjacent to the initial component is determined, and the component to be detected with the shortest distance is selected for connection. After retaining the line, the latter is set as the initial component, and the cycle is repeated until all the components to be detected of the wind turbine are connected in series.

[0116] The auxiliary climbing module includes a driving end, which is connected to the interactive component and is used to operate the interactive component to control the action of the driving end;

[0117] The period determination module includes a database, a classification unit and an analysis unit;

[0118] The database is connected to the interactive component, and the personnel transmit the test results in the scheduled inspection process to the database through the interactive component, and the database stores the test results;

[0119] The classification unit is connected to the database and is used to classify the test results in the database according to the test time; integrate the data within the same time limit into a data set and name it according to the corresponding test time;

[0120] The analysis unit is connected to the classification unit to analyze different data sets, preset the threshold range for detecting corresponding components, generate comparison results by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and this data set.

[0121] The beneficial effects of the above embodiments are: providing the operator with a stable, concise and fast path on the fan, inserting various detection points on the path, which can save operation time and ensure the safety of personnel; generating a periodic pattern by recording the detection results, providing an accurate detection cycle for the fan inspection.

[0122] Example 6

[0123] In one embodiment, see Figure 1 , a fan auxiliary detection system based on automatic fixed-time inspection, the analysis process of the analysis unit includes:

[0124] Calculate the average test value and average interval days of the previous test results, where the average test value is used as the threshold range of each corresponding component;

[0125] Assume that the average detection value is A, the average interval days is B, the current detection value is X, the time interval between the current scheduled inspection and the last scheduled inspection is Y, the detection theoretical value of the next scheduled inspection is E, and the detection period between the next scheduled inspection and the current scheduled inspection is T;

[0126] E = 2A-X;

[0127] T = 2B-Y;

[0128] When the detection value of the next scheduled inspection is significantly different from the theoretical value E of the next scheduled inspection, it means that the component of the surface fan is faulty.

[0129] The beneficial effects of the above embodiment are: realizing the effect of calculating the regular inspection cycle law and determining whether the component has a fault by comparing the difference between the detection value of the regular inspection and the detection theoretical value of the regular inspection.

[0130] It should be noted that the method and system provided in the above embodiments are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiments can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations of the present invention.

[0131] The term "comprise" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus / device.

[0132] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0133] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, so that professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be obvious to professionals and technicians in the field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features disclosed herein.

Claims

1. A fan auxiliary detection method based on automatic regular inspection, characterized in that: include: Step 1: obtaining a three-dimensional model of the wind turbine, and inserting the preset detection point positions into the three-dimensional model; Step 2: establishing a fixed inspection path according to the positions of the inspection points, and inserting the fixed inspection path into the three-dimensional model; Step 3: displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model; Step 4: Record the test results on the display device, send the test results to a database, classify and analyze the test results in the database, and generate a regular inspection cycle for the fan.

2. A fan auxiliary detection method based on automatic regular inspection according to claim 1, characterized in that: The step of obtaining a three-dimensional model of the wind turbine and inserting a preset detection point position into the three-dimensional model includes: Step 1: Install scanning components at all directions of the fan, and obtain sampling point data such as the shape of the fan, the positions of the various components of the fan, and the position of the fan body; Step 2: Modeling the fan according to the sampling point data to obtain a three-dimensional model with the position of the fan body and the positions of various components of the fan; Step three: insert the position information of the components to be inspected of the wind turbine into the three-dimensional model to establish an auxiliary map for this scheduled inspection of the wind turbine.

3. A fan auxiliary detection method based on automatic regular inspection according to claim 2, characterized in that: The step of establishing a fixed inspection path according to the positions of the inspection points and inserting the fixed inspection path into the three-dimensional model comprises: Step 1: setting the component to be inspected that is closest to the tower as the initial component; Step 2, determining the position information of the components to be detected of the wind turbines adjacent to the initial components, and selecting the components to be detected with the shortest distance for connection; Step 3, retaining the line, setting the connecting line as the initial component; Step 4: Repeat steps 2 to 3 until all the components to be tested of the fan are connected in series.

4. A fan auxiliary detection method based on automatic regular inspection according to claim 3, characterized in that: The step of displaying the three-dimensional model through a display device, adding a positioning system to the display device, and interconnecting the positioning system with the three-dimensional model comprises: Step 1: sending the three-dimensional model including the scheduled inspection path to the display device, and displaying the three-dimensional model through the display device; Step 2: installing a positioning chip in the display device, the positioning chip being connected to the three-dimensional model, and determining the position of the display device based on the positions of the positioning chip and the wind turbine components in the three-dimensional model; Step three, the personnel carry the display device and use the displayed inspection route to navigate the personnel.

5. A fan auxiliary detection method based on automatic regular inspection according to claim 4, characterized in that: The display device also includes: a tool list preset for different wind turbine components, and displays the tools required to be carried during the detection process according to the position information of the wind turbine components to be detected.

6. A fan auxiliary detection method based on automatic regular inspection according to claim 5, characterized in that: The recording of the test results on the display device, sending the test results to a database, classifying and analyzing the test results in the database, and generating a fan inspection cycle include: Step 1: installing an interactive unit 1 on the display device, for manually entering the detection results into the display device, and transmitting them to a statistical database through the display device; Step 2: classify the data in the statistical database according to time, integrate the data within the same time limit into a data set, and name it according to its corresponding detection time; Step three: Analyze different data sets, preset the threshold range for detecting corresponding components, generate comparison results by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and this data set.

7. A fan auxiliary detection method based on automatic regular inspection according to claim 6, characterized in that: Also includes: Step 1: Install the lifting device on the fan; Step 2: installing an interactive unit 2 on the display device, wherein the interactive unit 2 is connected to the driving end of the lifting device; Step three, when the personnel arrive at the bottom of the wind turbine, the interaction unit 2 is used to control the lifting and lowering of the lifting device to assist the personnel in climbing.

8. A fan auxiliary detection system based on automatic regular inspection, based on the detection method described in claims 1-7, characterized in that: The terminal device includes a display component and an interactive component, and is carried by a person: A modeling module, connected to the terminal device, for performing three-dimensional modeling of the wind turbine and sending the three-dimensional model to a display component of the terminal device; A path selection module, which is connected to the modeling module through the interactive component of the terminal device, and is used to insert the position data of the detection point into the corresponding position of the three-dimensional model, and connect several detection points to generate a fixed inspection path; An auxiliary climbing module, whose driving end is connected to the interactive component of the terminal device, is used to assist personnel in ascending and descending the wind turbine; The cycle determination module is connected to the interactive component of the terminal device and is used to analyze the detection data and generate a regular inspection cycle for the fan.

9. A fan auxiliary detection system based on automatic regular inspection according to claim 8, characterized in that: The modeling module includes a scanning unit, a modeling unit and a transmission unit; The scanning units are provided in plurality, all of which are installed on the fan, and are used to obtain the fan sampling point data, including the fan body shape and body position and the branch component shape and component position; the scanning units are provided in a plurality of groups, each group corresponding to a fan; The modeling unit is connected to the scanning unit, and generates a three-dimensional model with a distinguishing mark according to the sampling point data and the group number of the scanning unit; The transmission unit is used to send the three-dimensional model to the display component; The path selection module includes an insertion unit and a route calculation unit; The insertion unit is connected to the interactive component and is used to send the position information of the fan component to be inspected in this scheduled inspection to the three-dimensional model, so that the color of the corresponding position of the three-dimensional model changes; The route calculation unit is connected to the insertion unit, and a point is taken at the position where the color change occurs in the three-dimensional model, and the component to be detected that is closest to the tower is set as the initial component. The position information of the component to be detected of the wind turbine adjacent to the initial component is determined, and the component to be detected with the shortest distance is selected for connection. After retaining the line, the latter is set as the initial component, and the cycle is repeated until all the components to be detected of the wind turbine are connected in series. The auxiliary climbing module includes the driving end, which is connected to the interactive component and is used to operate the interactive component to control the action of the driving end; The cycle determination module includes a database, a classification unit and an analysis unit; The database is connected to the interactive component, and personnel transmit the test results in the scheduled inspection process to the database through the interactive component, and the database stores the test results; The classification unit is connected to the database and is used to classify the test results in the database according to the test time; integrate the data within the same time limit into a data set and name it according to the corresponding test time; The analysis unit is connected to the classification unit to analyze different data sets, preset a threshold range for detecting corresponding components, generate a comparison result by comparing the detection results of each component with the corresponding threshold range, and calculate the time for the next detection by determining the difference between the remaining data sets and the current data set.

10. A fan auxiliary detection system based on automatic regular inspection according to claim 9, characterized in that: The analysis process of the analysis unit includes: Calculate the average detection value and average interval days of the previous several detection results, wherein the average detection value is used as the threshold range of each corresponding component; Assume that the average detection value is A, the average interval days is B, the current detection value is X, the time interval between the current scheduled inspection and the last scheduled inspection is Y, the detection theoretical value of the next scheduled inspection is E, and the detection period between the next scheduled inspection and the current scheduled inspection is T; E = 2A-X; T = 2B-Y; When the detection value of the next scheduled inspection is significantly different from the theoretical value E of the next scheduled inspection, it means that the component of the surface fan is faulty.

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