A rotor hoisting auxiliary detection method and device

By using terahertz wave detection equipment for auxiliary detection during the rotor lifting process, the problems of low automatic measurement efficiency, insufficient attention to detection accuracy and attitude indicators in the prior art are solved, and an efficient and safe rotor lifting process is achieved.

CN119660586BActive Publication Date: 2025-05-02昆明其实奇科技开发有限公司
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Patent Information

Application Number
CN202510195745.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2025-05-02
Estimated Expiration
2045-02-21

AI Technical Summary

Technical Problem

The prior art has problems in the process of rotor lifting that low automatic measurement and analysis efficiency, environmental factors affect detection accuracy, and only focusing on certain posture indicators and ignoring potential risks.

Method used

The terahertz wave detection equipment is used for rotor lifting auxiliary inspection, and a complete closed-loop process is built through selection and configuration, initial detection, attitude and structure data collection, comprehensive risk assessment and early warning analysis.

Benefits of technology

It improves the efficiency and safety of lifting operations, reduces delays in shutdowns caused by equipment failures, environmental problems and operating errors, and realizes a comprehensive risk assessment and real-time early warning of the rotor lifting process.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention discloses a rotor hoisting auxiliary detection method and device, which relates to the field of rotor hoisting technology, and constructs a complete closed-loop process from initial equipment selection and environmental testing to data monitoring and risk warning throughout the hoisting process. Each link is closely connected and data is interoperable, which guides the hoisting operation in an orderly manner to proceed at a standardized rhythm, greatly improving the operating efficiency and reducing shutdown delays caused by equipment failure, environmental problems, operating errors, etc., just like laying a smooth track for complex projects to ensure efficient completion and delivery. The entire detection process accumulates massive hoisting data, including different rotor characteristics, various environmental conditions and corresponding risk assessment details. These precious data provide solid materials for the subsequent optimization of the equipment selection database and the improvement of the evaluation model parameters, prompting the method to be continuously iterated and upgraded to adapt to the increasingly complex and changeable industrial hoisting scenarios, and achieve long-term sustainable safety assurance performance improvement.
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Description

Technical Field

[0001] The present invention relates to the technical field of rotor hoisting, and in particular to a rotor hoisting auxiliary detection method and device. Background Art

[0002] In the modern industrial field, rotors, as key core components of various rotating machinery, are widely used in many industries such as electricity, aerospace, shipbuilding, and machinery manufacturing. The quality, installation accuracy, and safety of the hoisting process are directly related to the stable operation of the entire system and the life of the equipment. With the continuous expansion of industrial scale and the continuous upgrading of technology, the size of rotors is increasing, the structure is becoming more complex, and the accuracy requirements are getting higher and higher, which makes rotor hoisting operations a very challenging task. Traditional hoisting detection methods have gradually revealed many drawbacks and are difficult to meet the current stringent industrial needs. Therefore, a rotor hoisting auxiliary detection method and device is needed.

[0003] Prior art, such as the invention patent application with announcement number: CN116354237A, discloses a generator rotor hoisting centering monitoring system and monitoring method, including a centering monitoring device and a centering target device. There are multiple centering monitoring devices, and multiple centering monitoring devices are arranged along the circumference of the stator; the number of centering target devices corresponds to the number of centering monitoring devices, and each centering target device is matched with a centering monitoring device, and multiple centering target devices are installed on the upper end face of the rotor along the outer circumference of the rotor; the centering monitoring device is used to be erected on the upper base surface of the stator or the hoisting work platform. The present invention solves the drawbacks of the distance sensor. The centering monitoring device and the centering target device can measure the position and posture of the rotor in the hoisting process in real time, and can effectively guide the crane to perform quantitative operations in real time.

[0004] In view of the above scheme, the inventors of the present application have found that the above technology has at least the following technical problems: 1. The laser measurement method mainly used in the prior art has achieved quantitative measurement of the rotor hoisting center, but the measurement and analysis still require manual reading and calculation of deviations, and automatic measurement and analysis cannot be achieved, resulting in low efficiency. During the hoisting process, the reading personnel need to observe the laser position in real time and provide the data to the analysis and calculation personnel. If the personnel are a little lax, once the rotor center is significantly offset, it is easy to cause the rotor and stator to collide due to untimely data provision or analysis. The installation of the laser emitting device and the scale detection device requires precise adjustment, and in the complex environment of the hoisting site, if there are factors such as vibration and dust, it may affect the transmission and measurement accuracy of the laser.

[0005] 2. Existing technologies may ignore the impact of hoisting environmental factors on detection equipment. In the case of high lifting height or large span, if the signal transmission power and accuracy of the equipment are not configured according to the actual environment, the detection data will be greatly attenuated or distorted during long-distance transmission, affecting the monitoring of the rotor status. Moreover, in an environment with high electromagnetic field intensity, if the equipment does not have good electromagnetic shielding performance, it is susceptible to electromagnetic interference, resulting in erroneous detection results. There is a lack of automatic evaluation and information push mechanism. When there are problems with the installation environment, the relevant person in charge may not be able to know in time, thereby delaying the handling of environmental problems and causing the hoisting operation to be carried out in an unsafe environment.

[0006] 3. Existing technologies may only focus on one or several aspects of the rotor hoisting posture, such as only considering the translation speed while ignoring the position deviation and the angle change rate. This will lead to an incomplete assessment of the rotor posture and fail to timely discover potential risks in the posture change process. For example, even if the translation speed is normal, an abnormal angle change rate may cause the rotor to tilt during the hoisting process, which may lead to collision or structural damage. Summary of the invention

[0007] In view of the above-mentioned technical deficiencies, an object of the present invention is to provide a rotor hoisting auxiliary detection method and device.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a rotor hoisting auxiliary detection method, including: Step 1, selection and configuration of detection equipment: selection and configuration of terahertz wave detection equipment are performed at the initial stage of rotor hoisting of the target enterprise. After the selection and configuration of the terahertz wave detection equipment for rotor hoisting are completed, initial detection of the rotor hoisting of the target enterprise is performed.

[0009] Step 2. Inspection of rotor hoisting: When the target enterprise passes the initial inspection of rotor hoisting, the rotor is hoisted, and during the rotor hoisting process, the posture data and structural data corresponding to each inspection point are collected according to the collection time points configured by the inspection equipment, and then the posture evaluation value and structural evaluation value corresponding to each inspection point at each collection time point of the rotor are obtained by analysis.

[0010] Step 3: Comprehensive risk assessment: Based on the attitude assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor, the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is analyzed.

[0011] Step 4: Analysis of early warning conditions: Analyze the results based on the comprehensive lifting risk assessment values ​​corresponding to each rotor collection time point, and then analyze the early warning conditions corresponding to each rotor lifting collection time point.

[0012] Preferably, the selection and configuration of the terahertz wave detection equipment is performed at the initial stage of rotor hoisting of the target enterprise, and the specific selection and configuration process is as follows: A1. Obtain basic information corresponding to the rotor in the rotor hoisting of the target enterprise from the procurement system of the target enterprise, the basic information including rotor size, contour fractal dimension and proportion of each type of material, and compare the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting with the rotor size, contour fractal dimension and proportion of each type of material corresponding to each terahertz wave detection equipment model in the database; if the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting are the same as the rotor size, contour fractal dimension and proportion of each type of material corresponding to a certain terahertz wave detection equipment model in the database, then use the terahertz wave detection equipment model in the database as the terahertz wave detection equipment model corresponding to the rotor in the rotor hoisting of the target enterprise.

[0013] A2. Obtain the environmental data corresponding to the rotor hoisting of the target enterprise, which includes the lifting height, lifting span and electromagnetic field strength, and compare the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise with the lifting height, lifting span and electromagnetic field strength corresponding to the corresponding terahertz wave detection equipment model configuration in the database. If the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise are the same as the lifting height, lifting span and electromagnetic field strength corresponding to a certain configuration of the corresponding terahertz wave detection equipment model in the database, then the configuration of the corresponding terahertz wave detection equipment model in the database shall be used as the configuration corresponding to the terahertz wave detection equipment in the rotor hoisting of the target enterprise.

[0014] Preferably, the initial detection of the rotor hoisting of the target enterprise is carried out, and the specific detection process is as follows: B1, obtaining the installation environment data corresponding to the rotor hoisting of the target enterprise, the installation environment data including the minimum safe distance between each obstacle and the rotor and the angle deviation value between each obstacle and the rotor path, and recording the minimum safe distance between each obstacle and the rotor and the angle deviation value between each obstacle and the rotor path corresponding to the rotor hoisting of the target enterprise as and ,in, Indicates the number corresponding to each obstacle, , u is a positive integer, and the minimum safe distance between each obstacle and the rotor corresponding to the rotor hoisting of the target enterprise and the angle deviation value between each obstacle and the rotor path are input into the installation environment assessment value analysis model, and the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is output.

[0015] B2. Compare the installation environment assessment value corresponding to the rotor hoisting of the target enterprise with the set installation environment assessment value interval corresponding to the standard rotor hoisting. If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is qualified. A green indicator light is displayed on the interface of the detection system, and the word "qualified" is displayed. A message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is qualified, and the next step can be carried out." If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is not within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is unqualified. A red indicator light is displayed on the interface of the detection system, and the word "unqualified" is displayed. A message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is unqualified. Please conduct a review in time."

[0016] Preferably, the expression of the installation environment evaluation value analysis model is: The installation environment assessment value corresponding to the rotor hoisting of the target enterprise is obtained ,in, , They are the standard minimum safety distance between the obstacle and the rotor corresponding to the set rotor hoisting, and the standard angle deviation value between the obstacle and the rotor path. , They are the weight factor corresponding to the minimum safe distance between the rotor hoisting obstacle and the rotor, and the weight factor corresponding to the angle deviation value between the obstacle and the rotor path. , They are respectively the minimum safe distance difference between the permitted rotor lifting obstacle and the rotor, and the angle deviation difference between the permitted obstacle and the rotor path, and e represents a natural constant.

[0017] Preferably, the posture data includes translation speed, deviation amount corresponding to each position and change rate corresponding to each angle, and the structural data includes strain amplitude, stress concentration factor and vibration amplitude.

[0018] Preferably, the analysis obtains the attitude evaluation value and structure evaluation value corresponding to each detection point at each acquisition time point of the rotor, and the specific analysis process is as follows: C1. The translation speed corresponding to each detection point at each acquisition time point of the rotor, the deviation amount corresponding to each position and the change rate corresponding to each angle are input into the attitude evaluation value evaluation model, and the attitude evaluation value corresponding to each detection point at each acquisition time point of the rotor is output.

[0019] C2. Input the strain amplitude, stress concentration factor and vibration amplitude corresponding to each detection point at each acquisition time point of the rotor into the structural evaluation value evaluation model, and output the structural evaluation value corresponding to each detection point at each acquisition time point of the rotor.

[0020] Preferably, the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is analyzed, and the specific assessment process is as follows: D1. The posture assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor are input into the comprehensive lifting risk assessment value assessment model, and the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is output.

[0021] D2. The comprehensive lifting risk assessment value results include values ​​of 1 and -1. When the comprehensive lifting risk assessment value result corresponding to each collection time point of the rotor is 1, it indicates that the rotor lifting process is normal and is in a low-risk state. Conversely, when the comprehensive lifting risk assessment value result corresponding to each collection time point of the rotor is -1, it indicates that the rotor lifting process is abnormal and is in a high-risk state. In this way, the comprehensive lifting risk assessment value corresponding to each collection time point of the rotor is analyzed.

[0022] Preferably, the expression of the comprehensive lifting risk assessment value evaluation model is: , where, and They are respectively represented as the attitude evaluation value and structure evaluation value corresponding to the hth detection point at the yth acquisition time point of the rotor, y represents the number corresponding to each acquisition time point, , is any integer greater than 2, h represents the number corresponding to each detection point, , is any integer greater than 2, It represents the comprehensive lifting risk assessment result corresponding to the yth acquisition time point of the rotor, is the standard comprehensive lifting risk assessment value set, where: , They are the standard attitude evaluation value and standard structure evaluation value corresponding to the set rotor, , are the weight factors corresponding to the rotor attitude evaluation value and the weight factors corresponding to the structure evaluation value, respectively. Represents a natural constant.

[0023] Preferably, the warning conditions corresponding to each collection time point of the rotor hoisting are analyzed, and the specific analysis process is as follows: E1. When the comprehensive hoisting risk assessment value corresponding to each collection time point of the rotor is 1, it indicates that the rotor hoisting process is normal and in a low-risk state. The alarm is always green to indicate a safety baseline. At this time, the normal hoisting speed and operating procedures are maintained. On the central control screen at the hoisting site, the current comprehensive hoisting risk assessment value and the "low risk" status logo are displayed in a striking green tone, and a special area is opened to dynamically present various key parameters with a line graph.

[0024] E2. When the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is -1, it indicates that the rotor lifting process is abnormal and in a high-risk state. The central control screen instantly switches to a full-screen red warning interface, and the large white font prominently displays "High Risk Alert - Lifting Operation Suspended". The line chart area that originally dynamically presents key parameters has bold data lines turned red, and the abnormally soaring parameters are highlighted with a flashing effect. All sound and light alarms in the lifting site simultaneously enter the crazy alarm mode, and the smart mobile devices of all on-site staff receive a pop-up notification. The pop-up notification text displays "High Risk! Emergency at the lifting site, stop the work at hand immediately" in extra-large fonts, and the equipment continues to vibrate until the personnel manually confirm that they have received the notification.

[0025] In a second aspect, the present invention provides a rotor hoisting auxiliary detection device, including: a detection equipment selection and configuration module: used to select and configure terahertz wave detection equipment in the initial stage of rotor hoisting of a target enterprise. After the selection and configuration of the rotor hoisting terahertz wave detection equipment are completed, an initial detection of the rotor hoisting of the target enterprise is performed.

[0026] Rotor hoisting detection module: It is used to carry out rotor hoisting after the target enterprise's rotor hoisting initial inspection is qualified, and during the rotor hoisting process, the posture data and structural data corresponding to each inspection point are collected according to the collection time points configured by the detection equipment, and then the posture evaluation value and structural evaluation value corresponding to each inspection point at each collection time point of the rotor are analyzed.

[0027] Comprehensive risk assessment module: It is used to analyze the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor according to the posture assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor.

[0028] Early warning situation analysis module: used to analyze the results according to the comprehensive lifting risk assessment value corresponding to each collection time point of the rotor, and then analyze the early warning situation corresponding to each collection time point of the rotor lifting.

[0029] The beneficial effects of the present invention are as follows: 1. The embodiments of the present invention construct a complete closed-loop process from initial equipment selection and environmental testing to data monitoring and risk warning throughout the hoisting process. Each link is closely connected and data is interoperable, which guides the hoisting operation in an orderly manner to proceed at a standardized rhythm, greatly improving the operating efficiency and reducing shutdowns and delays caused by equipment failures, environmental problems, operating errors, etc. It is like laying a smooth track for complex projects to ensure efficient completion and delivery. The entire testing process accumulates massive amounts of hoisting data, including different rotor characteristics, various environmental conditions and corresponding risk assessment details. These precious data provide solid materials for the subsequent optimization of the equipment selection database and the improvement of the evaluation model parameters, prompting the continuous iteration and upgrading of the method to adapt to the increasingly complex and changeable industrial hoisting scenarios and achieve long-term sustainable safety assurance performance improvement.

[0030] 2. In the embodiment of the present invention, the terahertz wave detection equipment is selected and configured specifically for the rotor hoisting of the target enterprise in the early stage, and the rotor's own characteristics and specific hoisting environmental factors are fully considered. It is ensured that the selected terahertz wave detection equipment can fully meet the specific hoisting task, avoiding the mismatch problems that may occur in the detection range and accuracy of general equipment, and maximizing the effectiveness and accuracy of the detection data, just like accurately selecting the right medicine for a specific disease, so that the subsequent detection work has a reliable foundation. After the selection and configuration are completed, the initial detection is immediately carried out to check the overall situation of the hoisting preparation stage, and possible hidden dangers are checked in advance, such as discovering potential obstacles in the installation environment in advance, unreasonable spatial layout and other problems, to prevent risks caused by insufficient preparation in the early stage during the subsequent hoisting process, and build a solid safety line for the smooth development of the hoisting operation from the source.

[0031] 3. The embodiment of the present invention collects the attitude data and structural data corresponding to the rotor hoisting terahertz wave technology through segmentation, and inputs each into a professional assessment model to obtain the attitude and structural assessment values, which are further combined into a comprehensive hoisting risk assessment value. This progressive and multi-dimensional data processing method comprehensively considers the physical state of the hoisting process. Compared with a single indicator judgment, it can more keenly capture subtle abnormalities, just like a full-body precision physical examination, without missing any potential "lesions". According to the comprehensive hoisting risk assessment results, a sharp contrast visual warning interface is presented on the central control screen. When the risk is low, the green tone is matched with the dynamic display of key parameters, and the operator can control the status at a glance; when the risk is high, the shocking red alarm is instantly switched, and the eye-catching text and flashing data lines attract attention in all directions. The sound and light alarm cooperates with the mobile terminal to push notifications to form a three-dimensional alarm network, ensuring that the on-site personnel can receive crisis signals in the first time regardless of vision and hearing, and perform emergency braking operations to minimize losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 The present invention is a flowchart of the steps for implementing the method.

[0034] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Embodiments of the present invention Figure 1 As shown, a rotor hoisting auxiliary detection method includes: step one, selection and configuration of detection equipment: selection and configuration of terahertz wave detection equipment are performed at the initial stage of rotor hoisting of the target enterprise. After the selection and configuration of the terahertz wave detection equipment for rotor hoisting are completed, initial detection of the rotor hoisting of the target enterprise is performed.

[0037] In a specific embodiment, the selection and configuration of terahertz wave detection equipment is performed at the initial stage of rotor hoisting of the target enterprise, and the specific selection process is as follows: A1. Obtain basic information corresponding to the rotor in the rotor hoisting of the target enterprise from the procurement system of the target enterprise, the basic information including rotor size, contour fractal dimension and proportion of each type of material, and compare the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting with the rotor size, contour fractal dimension and proportion of each type of material corresponding to each terahertz wave detection equipment model in the database; if the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting are the same as the rotor size, contour fractal dimension and proportion of each type of material corresponding to a certain terahertz wave detection equipment model in the database, then the terahertz wave detection equipment model in the database is used as the terahertz wave detection equipment model corresponding to the rotor in the rotor hoisting of the target enterprise.

[0038] A2. Obtain the environmental data corresponding to the rotor hoisting of the target enterprise, which includes the lifting height, lifting span and electromagnetic field strength, and compare the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise with the lifting height, lifting span and electromagnetic field strength corresponding to the corresponding terahertz wave detection equipment model configuration in the database. If the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise are the same as the lifting height, lifting span and electromagnetic field strength corresponding to a certain configuration of the corresponding terahertz wave detection equipment model in the database, then the configuration of the corresponding terahertz wave detection equipment model in the database shall be used as the configuration corresponding to the terahertz wave detection equipment in the rotor hoisting of the target enterprise.

[0039] In another specific embodiment, the initial detection of the rotor hoisting of the target enterprise is performed, and the specific detection process is as follows: B1, obtaining the installation environment data corresponding to the rotor hoisting of the target enterprise, the installation environment data including the minimum safe distance between each obstacle and the rotor and the angle deviation value between each obstacle and the rotor path, and the minimum safe distance between each obstacle and the rotor and the angle deviation value between each obstacle and the rotor path corresponding to the rotor hoisting of the target enterprise are recorded as and ,in, Indicates the number corresponding to each obstacle, , u is a positive integer, and the minimum safe distance between each obstacle and the rotor corresponding to the rotor hoisting of the target enterprise and the angle deviation value between each obstacle and the rotor path are input into the installation environment assessment value analysis model, and the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is output.

[0040] It should be noted that the terahertz wave detection device is installed in a suitable position, such as on a rotor or a hoisting device, so that it can cover the area around the hoisting path. The device emits terahertz waves in all directions, and the waves are reflected back when they encounter obstacles. By accurately measuring the time interval between emission and reception, the distance from the device to the obstacle can be calculated. For multiple obstacles, repeating this process can obtain the distance between each obstacle and the device. Terahertz wave ranging mainly calculates the distance based on the propagation time of the wave. The terahertz wave detection device emits terahertz wave pulses, which propagate in the air at a certain speed. When the pulse encounters an obstacle, it is reflected and the reflected wave is received by the device. There is a time difference between the emission of the pulse and the reception of the reflected pulse. By accurately measuring this time difference, and based on the relationship between speed and time, using the formula "distance = speed multiplied by time divided by 2, the distance between the device and the obstacle can be calculated.

[0041] It should also be noted that multiple terahertz wave detection sensors are reasonably installed around the rotor hoisting area or on the rotor and hoisting equipment. The location of these sensors should be planned according to the shape, size and characteristics of the hoisting path of the rotor to ensure that the area where obstacles may appear can be fully covered. Each sensor has its own pointing angle, which is determined when the sensor is installed, relative to the local coordinate system of the sensor. When the sensor detects an obstacle, the pointing angle of the sensor at this moment can be directly obtained by reading the internal parameters of the sensor or according to its installation method and current posture. This angle records the relationship between the sensor's own direction and the reference direction, which is similar to a starting angle. The specific position angle of the obstacle in the sensor's perspective is determined based on the signal intensity distribution and phase information reflected by the terahertz wave. The terahertz wave detection device can analyze the reflected wave and determine the direction of the reflected wave through a signal processing algorithm. For example, the peak direction of the signal intensity or the direction of the phase difference is used to infer the position angle of the obstacle relative to the sensor. These algorithms are usually based on the propagation characteristics of terahertz waves and mathematical models of signal processing, such as beamforming algorithms, interferometric measurement algorithms, etc., to achieve the measurement of the angle deviation value between the obstacle and the rotor path.

[0042] B2. Compare the installation environment assessment value corresponding to the rotor hoisting of the target enterprise with the set installation environment assessment value interval corresponding to the standard rotor hoisting. If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is qualified. A green indicator light is displayed on the interface of the detection system, and the word "qualified" is displayed. A message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is qualified, and the next step can be carried out." If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is not within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is unqualified. A red indicator light is displayed on the interface of the detection system, and the word "unqualified" is displayed. A message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is unqualified. Please conduct a review in time."

[0043] In another specific embodiment, the expression of the installation environment evaluation value analysis model is: The installation environment assessment value corresponding to the rotor hoisting of the target enterprise is obtained ,in, , They are the standard minimum safety distance between the obstacle and the rotor corresponding to the set rotor hoisting, and the standard angle deviation value between the obstacle and the rotor path. , They are the weight factor corresponding to the minimum safe distance between the rotor hoisting obstacle and the rotor, and the weight factor corresponding to the angle deviation value between the obstacle and the rotor path. , They are respectively the minimum safe distance difference between the permitted rotor lifting obstacle and the rotor, and the angle deviation difference between the permitted obstacle and the rotor path, and e represents a natural constant.

[0044] It should be noted that , Both are greater than 0 and less than 1.

[0045] It should also be noted that through the summary of a large amount of research data and experimental data. According to professional organizations and research institutions, the standard minimum safe distance between the obstacle and the rotor corresponding to the rotor hoisting, and the standard angle deviation value between the obstacle and the rotor path are set. At the same time, based on the professional knowledge and research basis of experts in the field, they are discussed and confirmed with industry organizations or professional institutions. Experts set the weight factor corresponding to the minimum safe distance between the rotor hoisting obstacle and the rotor, the weight factor corresponding to the angle deviation value between the obstacle and the rotor path, and the set minimum safe distance difference between the rotor hoisting obstacle and the rotor, and the angle deviation value difference between the obstacle and the rotor path based on their own experience and knowledge.

[0046] Step 2. Inspection of rotor hoisting: When the target enterprise passes the initial inspection of rotor hoisting, the rotor is hoisted, and during the rotor hoisting process, the posture data and structural data corresponding to each inspection point are collected according to the collection time points configured by the inspection equipment, and then the posture evaluation value and structural evaluation value corresponding to each inspection point at each collection time point of the rotor are obtained by analysis.

[0047] In a specific embodiment, the posture data includes translation speed, deviation amount corresponding to each position and change rate corresponding to each angle, and the structural data includes strain amplitude, stress concentration factor and vibration amplitude.

[0048] It should be noted that each position includes an axial position and a radial position, and each angle includes a pitch angle, a yaw angle, and a roll angle.

[0049] It should also be noted that when an object moves relative to the terahertz wave source, a Doppler frequency shift will be generated. By measuring the Doppler frequency shift of the terahertz wave reflection signal, combined with known parameters such as the terahertz wave wavelength and emission angle, the velocity component of the object in this direction is calculated according to the Doppler frequency shift formula, and then the translation speed is obtained. The terahertz wave is emitted from different perspectives to measure the rotor and obtain position information from multiple perspectives. By fusing and analyzing these multi-perspective data, the three-dimensional spatial coordinates of the rotor are established, and then compared with the standard coordinates to obtain the deviation corresponding to each position. The terahertz wave angle sensor is integrated with the key parts of the rotor. These sensors can measure the angle change of the rotor in all directions in real time. The angle data is continuously collected within a certain period of time, and the change rate corresponding to each angle is obtained by calculating the ratio of the angle change between adjacent time points to the time interval.

[0050] Once again, it is necessary to explain that the strain sensitivity of the terahertz wave when interacting with the material is used to invert the strain of the material by measuring the changes in parameters such as frequency, phase or amplitude of the terahertz wave after passing through the strain area. A terahertz wave strain sensor is attached to the surface of the rotor or a non-contact measurement method of terahertz wave is used to obtain the strain signal, and the strain signal is analyzed and processed to obtain the strain amplitude. First, the stress distribution of the rotor during the lifting process is analyzed by finite element simulation to determine the possible areas of stress concentration. Then, the actual strain data is obtained in these areas using terahertz wave measurement technology, and the actual stress is calculated by Hooke's law in combination with the elastic modulus of the material. The actual stress is then compared with the theoretical average stress obtained by finite element simulation to obtain the stress concentration coefficient. Based on the coherent detection technology of terahertz waves, when the rotor vibrates, the interaction between its surface and the terahertz wave will cause the phase and amplitude of the reflected wave to change. The vibration information of the rotor is obtained by real-time measurement and analysis of the phase and amplitude changes of the reflected wave, and the maximum and minimum values ​​are found in the series of displacement signals obtained. The maximum value is the maximum position of the rotor surface displacement during this period, and the minimum value is the minimum position of the displacement. After finding these two values, subtract the minimum value from the maximum value, and the difference represents the total range of displacement. Because the vibration amplitude is half of this range, the difference is finally divided by 2 to get the value of the vibration amplitude. It is like observing the process of an object vibrating up and down, finding the distance between its highest position and lowest position, and then taking half of this distance, which is the vibration amplitude.

[0051] In another specific embodiment, the analysis obtains the attitude evaluation value and the structure evaluation value corresponding to each detection point at each acquisition time point of the rotor, and the specific analysis process is as follows:

[0052] C1. Input the translation speed corresponding to each detection point at each acquisition time point of the rotor, the deviation corresponding to each position and the change rate corresponding to each angle into the attitude evaluation value evaluation model, and output the attitude evaluation value corresponding to each detection point at each acquisition time point of the rotor.

[0053] It should be noted that the analysis process of the attitude evaluation value corresponding to each detection point at each acquisition time point of the rotor is as follows: the translation speed corresponding to each detection point at each acquisition time point of the rotor, the deviation corresponding to each position and the change rate corresponding to each angle are normalized, and the translation speed corresponding to each detection point at each acquisition time point of the rotor, the deviation corresponding to each position and the change rate corresponding to each angle after processing are recorded as , and ,in, Indicates the number corresponding to each position, , is any integer greater than 2, It is also the sum of all positions, Indicates the number corresponding to each angle, , is any integer greater than 2, It is also the sum of all angles, substituting into the analysis formula , and obtain the attitude evaluation value corresponding to each detection point at each acquisition time point of the rotor , , , They are respectively the weight factor corresponding to the set rotor translation speed, the weight factor corresponding to the position deviation, and the weight factor corresponding to the angle change rate.

[0054] It should be noted that , , Both are greater than 0 and less than 1.

[0055] It should also be noted that, based on the expertise and research of experts in the field, and after discussion and confirmation with industry organizations or professional institutions, the experts set the weight factors corresponding to the rotor translation speed, the position deviation, and the angle change rate according to their own experience and knowledge.

[0056] C2. Input the strain amplitude, stress concentration factor and vibration amplitude corresponding to each detection point at each acquisition time point of the rotor into the structural evaluation value evaluation model, and output the structural evaluation value corresponding to each detection point at each acquisition time point of the rotor.

[0057] It should be noted that the analysis process of the structural evaluation value corresponding to each detection point at each acquisition time point of the rotor is as follows: the strain amplitude, stress concentration factor and vibration amplitude corresponding to each detection point at each acquisition time point of the rotor are normalized, and the strain amplitude, stress concentration factor and vibration amplitude corresponding to each detection point at each acquisition time point of the rotor after processing are recorded as , and , substitute into the analysis formula , and obtain the structural evaluation value corresponding to each detection point at each acquisition time point of the rotor , , , They are respectively the weight factor corresponding to the set rotor strain amplitude, the weight factor corresponding to the stress concentration factor, and the weight factor corresponding to the vibration amplitude.

[0058] It should be noted that , , Both are greater than 0 and less than 1.

[0059] It should also be noted that, based on the expertise and research of experts in the field, and after discussion and confirmation with industry organizations or professional institutions, the experts set the weight factors corresponding to the rotor strain amplitude, the weight factors corresponding to the stress concentration factor, and the weight factors corresponding to the vibration amplitude based on their own experience and knowledge.

[0060] Step 3: Comprehensive risk assessment: Based on the attitude assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor, the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is analyzed.

[0061] In a specific embodiment, the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is analyzed, and the specific assessment process is as follows: D1. The posture assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor are input into the comprehensive lifting risk assessment value assessment model, and the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is output.

[0062] D2. The comprehensive lifting risk assessment value results include values ​​of 1 and -1. When the comprehensive lifting risk assessment value result corresponding to each collection time point of the rotor is 1, it indicates that the rotor lifting process is normal and is in a low-risk state. Conversely, when the comprehensive lifting risk assessment value result corresponding to each collection time point of the rotor is -1, it indicates that the rotor lifting process is abnormal and is in a high-risk state. In this way, the comprehensive lifting risk assessment value corresponding to each collection time point of the rotor is analyzed.

[0063] In another specific embodiment, the expression of the comprehensive lifting risk assessment value evaluation model is: , where, and They are respectively represented as the attitude evaluation value and structure evaluation value corresponding to the hth detection point at the yth acquisition time point of the rotor, y represents the number corresponding to each acquisition time point, , is any integer greater than 2, h represents the number corresponding to each detection point, , is any integer greater than 2, It represents the comprehensive lifting risk assessment result corresponding to the yth acquisition time point of the rotor, is the standard comprehensive lifting risk assessment value set, where: , They are the standard attitude evaluation value and standard structure evaluation value corresponding to the set rotor, , are the weight factors corresponding to the rotor attitude evaluation value and the weight factors corresponding to the structure evaluation value, respectively. Represents a natural constant.

[0064] It should be noted that , Both are greater than 0 and less than 1.

[0065] It should also be noted that through the summary of a large amount of research data and experimental data, the standard comprehensive lifting risk assessment value is set according to professional institutions and research institutions, and the standard attitude assessment value and standard structure assessment value corresponding to the rotor are set. At the same time, based on the professional knowledge and research basis of experts in the field, and discussed and confirmed with industry organizations or professional institutions, the experts set the weight factors corresponding to the rotor attitude assessment value and the weight factors corresponding to the structure assessment value according to their own experience and knowledge.

[0066] Step 4: Analysis of early warning conditions: Analyze the results based on the comprehensive lifting risk assessment values ​​corresponding to each rotor collection time point, and then analyze the early warning conditions corresponding to each rotor lifting collection time point.

[0067] In a specific embodiment, the warning conditions corresponding to each collection time point of the rotor hoisting are analyzed, and the specific analysis process is as follows: E1. When the comprehensive hoisting risk assessment value corresponding to each collection time point of the rotor is 1, it indicates that the rotor hoisting process is normal and in a low-risk state. The alarm is always green to indicate a safety baseline. At this time, the normal hoisting speed and operating procedures are maintained. On the central control screen at the hoisting site, the current comprehensive hoisting risk assessment value and the "low risk" status logo are displayed in a striking green tone, and a special area is opened to dynamically present various key parameters with a line graph.

[0068] E2. When the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is -1, it indicates that the rotor lifting process is abnormal and in a high-risk state. The central control screen instantly switches to a full-screen red warning interface, and the large white font prominently displays "High Risk Alert - Lifting Operation Suspended". The line chart area that originally dynamically presents key parameters has bold data lines turned red, and the abnormally soaring parameters are highlighted with a flashing effect. All sound and light alarms in the lifting site simultaneously enter the crazy alarm mode, and the smart mobile devices of all on-site staff receive a pop-up notification. The pop-up notification text displays "High Risk! Emergency at the lifting site, stop the work at hand immediately" in extra-large fonts, and the equipment continues to vibrate until the personnel manually confirm that they have received the notification.

[0069] Embodiments of the present invention Figure 2 As shown, a rotor hoisting auxiliary detection device includes: a detection equipment selection and configuration module: used to select and configure terahertz wave detection equipment in the initial stage of rotor hoisting of a target enterprise. After the selection and configuration of the rotor hoisting terahertz wave detection equipment are completed, an initial detection of the rotor hoisting of the target enterprise is performed.

[0070] Rotor hoisting detection module: It is used to carry out rotor hoisting after the target enterprise's rotor hoisting initial inspection is qualified, and during the rotor hoisting process, the posture data and structural data corresponding to each inspection point are collected according to the collection time points configured by the detection equipment, and then the posture evaluation value and structural evaluation value corresponding to each inspection point at each collection time point of the rotor are analyzed.

[0071] Comprehensive risk assessment module: It is used to analyze the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor according to the posture assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor.

[0072] Early warning situation analysis module: used to analyze the results according to the comprehensive lifting risk assessment value corresponding to each collection time point of the rotor, and then analyze the early warning situation corresponding to each collection time point of the rotor lifting.

[0073] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A rotor hoisting auxiliary detection method, characterized in that: include: Step 1: Selection and configuration of detection equipment: The terahertz wave detection equipment is selected and configured at the initial stage of the rotor hoisting of the target enterprise. After the selection and configuration of the terahertz wave detection equipment for the rotor hoisting are completed, the initial detection of the rotor hoisting of the target enterprise is carried out; Step 2: Detection of rotor hoisting: When the target enterprise passes the initial rotor hoisting inspection, the rotor is hoisted, and during the rotor hoisting process, the attitude data and structure data corresponding to each detection point are collected at each collection time point configured by the detection equipment, and then the attitude evaluation value and structure evaluation value corresponding to each detection point at each collection time point of the rotor are analyzed; The posture data includes translation speed, deviation amount corresponding to each position and change rate corresponding to each angle, and the structural data includes strain amplitude, stress concentration factor and vibration amplitude; The analysis obtains the attitude evaluation value and structure evaluation value corresponding to each detection point at each acquisition time point of the rotor. The specific analysis process is as follows: C1. Input the translation speed corresponding to each detection point at each acquisition time point of the rotor, the deviation corresponding to each position and the change rate corresponding to each angle into the attitude evaluation value evaluation model, and output the attitude evaluation value corresponding to each detection point at each acquisition time point of the rotor; C2. Input the strain amplitude, stress concentration factor and vibration amplitude corresponding to each detection point at each acquisition time point of the rotor into the structural evaluation value evaluation model, and output the structural evaluation value corresponding to each detection point at each acquisition time point of the rotor; Step 3: Comprehensive risk assessment: Based on the attitude assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor, the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is analyzed; The comprehensive lifting risk assessment value corresponding to each rotor collection time point is analyzed, and the specific assessment process is as follows: D1. Input the attitude assessment value and structure assessment value corresponding to each detection point at each acquisition time point of the rotor into the comprehensive lifting risk assessment value assessment model, and output the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor; D2. The comprehensive lifting risk assessment value results include values ​​of 1 and -1. When the comprehensive lifting risk assessment value result corresponding to each rotor collection time point is 1, it indicates that the rotor lifting process is normal and is in a low-risk state. On the contrary, when the comprehensive lifting risk assessment value result corresponding to each rotor collection time point is -1, it indicates that the rotor lifting process is abnormal and is in a high-risk state. In this way, the comprehensive lifting risk assessment value corresponding to each rotor collection time point is analyzed; The expression of the comprehensive lifting risk assessment value evaluation model is: In the formula, and They are respectively represented as the attitude evaluation value and structure evaluation value corresponding to the hth detection point in the yth acquisition time point of the rotor, y represents the number corresponding to each acquisition time point, y=1,2...a, a is an arbitrary integer greater than 2, h represents the number corresponding to each detection point, h=1,2...b, b is an arbitrary integer greater than 2, Ι y represents the comprehensive lifting risk assessment value result corresponding to the yth acquisition time point of the rotor, Ξ′ is the set standard comprehensive lifting risk assessment value, wherein P′ and R′ are the set standard attitude assessment value and standard structure assessment value corresponding to the rotor, ξ1 and ξ2 are the weight factors corresponding to the set rotor attitude assessment value and the weight factors corresponding to the structure assessment value, respectively, and e represents a natural constant; Step 4: Analysis of early warning conditions: Analyze the results based on the comprehensive lifting risk assessment values ​​corresponding to each rotor collection time point, and then analyze the early warning conditions corresponding to each rotor lifting collection time point.

2. A rotor hoisting auxiliary detection method as claimed in claim 1, characterized in that: The selection and configuration of terahertz wave detection equipment is carried out at the initial stage of rotor hoisting of the target enterprise. The specific selection process is as follows: A1. Obtain basic information corresponding to the rotor in the rotor hoisting of the target enterprise from the procurement system of the target enterprise, the basic information including rotor size, contour fractal dimension and proportion of each type of material, and compare the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting with the rotor size, contour fractal dimension and proportion of each type of material corresponding to each terahertz wave detection equipment model in the database. If the rotor size, contour fractal dimension and proportion of each type of material corresponding to the rotor in the rotor hoisting are the same as the rotor size, contour fractal dimension and proportion of each type of material corresponding to a certain terahertz wave detection equipment model in the database, then use the terahertz wave detection equipment model in the database as the terahertz wave detection equipment model corresponding to the rotor in the rotor hoisting of the target enterprise; A2. Obtain the environmental data corresponding to the rotor hoisting of the target enterprise, which includes the lifting height, lifting span and electromagnetic field strength, and compare the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise with the lifting height, lifting span and electromagnetic field strength corresponding to the corresponding terahertz wave detection equipment model configuration in the database. If the lifting height, lifting span and electromagnetic field strength corresponding to the rotor hoisting of the target enterprise are the same as the lifting height, lifting span and electromagnetic field strength corresponding to a certain configuration of the corresponding terahertz wave detection equipment model in the database, then the configuration of the corresponding terahertz wave detection equipment model in the database shall be used as the configuration corresponding to the terahertz wave detection equipment in the rotor hoisting of the target enterprise.

3. A rotor hoisting auxiliary detection method as claimed in claim 2, characterized in that: The initial inspection of the rotor hoisting of the target enterprise is carried out, and the specific inspection process is as follows: B1. Obtain the installation environment data corresponding to the rotor hoisting of the target enterprise, which includes the minimum safe distance between each obstacle and the rotor and the angle deviation between each obstacle and the rotor path, and record the minimum safe distance between each obstacle and the rotor and the angle deviation between each obstacle and the rotor path corresponding to the rotor hoisting of the target enterprise as Z k and Y k , where k represents the number corresponding to each obstacle, k=1,2...u, u is a positive integer, and the minimum safe distance between each obstacle and the rotor corresponding to the rotor hoisting of the target enterprise and the angle deviation value between each obstacle and the rotor path are input into the installation environment assessment value analysis model, and the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is output; B2. Compare the installation environment assessment value corresponding to the rotor hoisting of the target enterprise with the set installation environment assessment value interval corresponding to the standard rotor hoisting. If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is qualified, and a green indicator light is displayed on the interface of the detection system, and the word "qualified" is displayed, and a message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is qualified, and the next step can be carried out". If the installation environment assessment value corresponding to the rotor hoisting of the target enterprise is not within the set installation environment assessment value interval corresponding to the standard rotor hoisting, it indicates that the installation environment corresponding to the rotor hoisting of the target enterprise is unqualified, and a red indicator light is displayed on the interface of the detection system, and the word "unqualified" is displayed, and a message is pushed to the work equipment of the relevant person in charge, with the content "The installation environment assessment of the rotor hoisting of the target enterprise is unqualified, please conduct a timely review".

4. A rotor hoisting auxiliary detection method as claimed in claim 3, characterized in that: The expression of the installation environment evaluation value analysis model is: The installation environment assessment value Γ corresponding to the rotor hoisting of the target enterprise is obtained, where Z′ and Y′ are the standard minimum safety distance between the obstacle and the rotor and the standard angle deviation between the obstacle and the rotor path corresponding to the set rotor hoisting, υ1 and υ2 are the weight factors corresponding to the minimum safety distance between the obstacle and the rotor for rotor hoisting and the weight factors corresponding to the angle deviation between the obstacle and the rotor path, ΔZ and ΔY are the difference in the minimum safety distance between the obstacle and the rotor for the set permitted rotor hoisting and the difference in the angle deviation between the obstacle and the rotor path, and e represents a natural constant.

5. A rotor hoisting auxiliary detection method as claimed in claim 1, characterized in that: The warning conditions corresponding to each collection time point of the rotor hoisting are analyzed, and the specific analysis process is as follows: E1. When the comprehensive hoisting risk assessment value corresponding to each rotor collection time point is 1, it indicates that the rotor hoisting process is normal and in a low-risk state. The alarm is always on green to indicate a safety baseline. At this time, the normal hoisting speed and operation process are maintained. The current comprehensive hoisting risk assessment value and the "low risk" status mark are displayed in eye-catching green on the central control screen at the hoisting site. A special area is opened to dynamically present various key parameters with a line chart; E2. When the comprehensive lifting risk assessment value corresponding to each acquisition time point of the rotor is -1, it indicates that the rotor lifting process is abnormal and in a high-risk state. The central control screen instantly switches to a full-screen red warning interface, and the large white font prominently displays "High Risk Alert - Lifting Operation Suspended". The line chart area that originally dynamically presents key parameters has bold data lines turned red, and the abnormally soaring parameters are highlighted with a flashing effect. All sound and light alarms in the lifting site simultaneously enter the crazy alarm mode, and the smart mobile devices of all on-site staff receive a pop-up notification. The pop-up notification text displays "High Risk! Emergency at the lifting site, stop the work at hand immediately" in extra-large fonts, and the equipment continues to vibrate until the personnel manually confirm that they have received the notification.

6. A rotor hoisting auxiliary detection device for executing the rotor hoisting auxiliary detection method according to any one of claims 1 to 5, characterized in that: include: Testing equipment selection and configuration module: used to select and configure terahertz wave testing equipment at the initial stage of rotor hoisting of the target enterprise. After the selection and configuration of the terahertz wave testing equipment for rotor hoisting is completed, the initial testing of the rotor hoisting of the target enterprise is carried out; Rotor hoisting detection module: used to carry out rotor hoisting after the target enterprise's rotor hoisting initial inspection is qualified, and collect the attitude data and structural data corresponding to each detection point at each collection time point configured by the detection equipment during the rotor hoisting process, and then analyze and obtain the attitude evaluation value and structural evaluation value corresponding to each detection point at each collection time point of the rotor; Comprehensive risk assessment module: used to analyze the comprehensive lifting risk assessment value corresponding to each rotor collection time point according to the attitude assessment value and structure assessment value corresponding to each detection point at each rotor collection time point; Early warning situation analysis module: used to analyze the results according to the comprehensive lifting risk assessment value corresponding to each collection time point of the rotor, and then analyze the early warning situation corresponding to each collection time point of the rotor lifting.

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