A resonance operation state assessment and prediction method for flexible communication towers
Through real-time data analysis and support vector machine model, the problem of difficult monitoring of the resonance operating status of the flexible communication tower is solved, and accurate prediction and early warning of resonance risks are achieved, ensuring the stability and signal quality of the tower.
Patent Information
- Application Number
- CN202411368833.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2044-09-29
AI Technical Summary
The prior art is difficult to effectively monitor and predict the resonant operating state of flexible communication towers, especially in the face of extreme climates and long-term operation, resulting in a risk of degraded signal transmission quality and structural damage.
By obtaining real-time operation data of the flexible communication tower, conducting comprehensive analysis and processing, establishing a resonance prediction model based on support vector machines, combining environmental changes and tower dynamic responses, resonance risks are evaluated in real time.
The prediction accuracy of the resonance operating state is improved, potential resonance risks are discovered in a timely manner, prediction efficiency is improved, and the long-term stability of the flexible communication tower is ensured.
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Figure CN118886722B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of communication towers, and in particular to a method for evaluating and predicting the resonance operation state of a flexible communication tower. Background Art
[0002] With the rapid development of communication technology, the demand for mobile communication base stations is growing. As an important component of the base station, the stability of the structure of the communication tower directly affects the reliability and safety of signal transmission. Traditional rigid towers are prone to structural fatigue and resonance when facing extreme climate conditions or after long-term operation, which in turn affects the communication quality and even causes structural damage. Flexible towers have become a new trend in the construction of modern communication infrastructure with their light weight, corrosion resistance, and strong adaptability. However, their structural characteristics make the resonance problem more complicated, and more accurate evaluation and prediction methods are needed to ensure their long-term stable operation. Therefore, it is particularly important to predict the operating status of new flexible communication towers.
[0003] At present, the operation status monitoring of communication towers mostly relies on regular manual inspections and simple sensor data collection. This method is not only inefficient, but also difficult to detect potential resonance hazards in a timely manner. In addition, the existing prediction models are mostly based on static structural analysis, lacking comprehensive consideration of environmental changes (such as wind loads, temperature changes) and tower dynamic responses, resulting in limited prediction accuracy. Summary of the invention
[0004] The present invention proposes a method for evaluating and predicting the resonant operating state of a flexible communication tower, aiming to overcome the deficiencies of the prior art and achieve real-time prediction of the resonant operating state of a flexible communication tower.
[0005] To achieve the above object, the present invention provides a method for evaluating and predicting the resonance operation state of a flexible communication tower, comprising:
[0006] S1. Obtain real-time operation data of the flexible communication tower;
[0007] S2. Performing comprehensive analysis and processing on the real-time operation data of the flexible communication tower to obtain interference data of the operation state of the flexible communication tower;
[0008] S3, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a resonance prediction model of the flexible communication tower based on a support vector machine;
[0009] S4. Perform resonance risk assessment analysis based on the resonance prediction model of the flexible communication tower to obtain a resonance operation status assessment prediction result of the flexible communication tower.
[0010] Furthermore, the acquisition of real-time operation data of the flexible communication tower includes:
[0011] S1-1. Obtain basic information data of the flexible communication tower;
[0012] Respectively obtain material information data, structural information data and geographical location information data of the flexible communication tower as basic information data of the flexible communication tower;
[0013] S1-2, obtaining corresponding environmental information data according to the basic information data of the flexible communication tower;
[0014] S1-3, obtaining stress and strain information data of the corresponding tower according to the basic information data of the flexible communication tower;
[0015] S1-4, obtaining stability information data of the corresponding tower according to the basic information data and environmental information data of the flexible communication tower;
[0016] S1-5, acquiring vibration information data of the corresponding tower according to the tower stability information data and the environmental information data;
[0017] S1-6, using the vibration information data of the tower and the stress and strain information data of the tower to obtain the operation status information data of the corresponding flexible communication tower;
[0018] S1-7, obtaining the current time as the starting time for collecting the operating status information data of the flexible communication tower;
[0019] S1-8, acquiring real-time operation data of the flexible communication tower based on the acquisition start time and the operation status information data of the flexible communication tower;
[0020] Among them, the structural data of the flexible communication tower includes tower height data, tower cross-sectional size data and tower cross-sectional shape data; the environmental information data of the flexible communication tower includes wind speed, wind direction, temperature and humidity; the stability information data of the tower includes the overall inclination angle of the tower and the top swing amplitude information data; the vibration information data of the tower includes the vibration frequency, amplitude and vibration mode of the tower.
[0021] Furthermore, the real-time operation status results of the flexible communication tower obtained by analyzing and processing the real-time operation data of the flexible communication tower include:
[0022] S2-1. Obtain historical operation data of the flexible communication tower;
[0023] S2-2, obtaining a correlation relationship of corresponding flexible communication tower operation data according to the historical operation data of the flexible communication tower;
[0024] S2-3, obtaining reference data corresponding to the operating state of the flexible communication tower according to the correlation relationship of the operating data of the flexible communication tower;
[0025] S2-3-1. Obtain normal vibration information data corresponding to the normal operating state according to the correlation relationship of the flexible communication tower operation data;
[0026] S2-3-2, obtaining temperature data, humidity data and wind load data of a normal operating state according to the normal vibration information data;
[0027] S2-3-3, using the temperature data, humidity data and wind load data of the normal operating state as the reference data of the flexible communication tower operating state;
[0028] S2-4, performing comparison processing according to the real-time operation data of the flexible communication tower to obtain the real-time operation status data of the corresponding flexible communication tower;
[0029] S2-4-1, judging whether the real-time operation data of the flexible communication tower is consistent with the reference data of the operation state of the flexible communication tower, if so, outputting the real-time operation data of the flexible communication tower as the normal state data of the real-time operation, otherwise, outputting the real-time operation data of the flexible communication tower as the abnormal state data of the real-time operation, and executing S2-4-2;
[0030] S2-4-2, judging whether the abnormal state data of the real-time operation exceeds the wind load threshold of the normal operation state, if so, obtaining the data exceeding the wind load threshold as the operation deviation data, otherwise, executing S2-4-3;
[0031] S2-4-3, judging whether the abnormal state data of the real-time operation exceeds the temperature threshold of the normal operation state, if so, obtaining the data exceeding the temperature threshold as the operation deviation data, otherwise, executing S2-4-4;
[0032] S2-4-4, judging whether the abnormal state data of the real-time operation exceeds the humidity threshold of the normal operation state, if so, obtaining the data exceeding the humidity threshold as the operation deviation data, otherwise, outputting the abnormal state data of the real-time operation as the normal state data of the real-time operation;
[0033] S2-4-5, using the real-time normal state data, abnormal state data and operation deviation data as the real-time operation state data of the flexible communication tower;
[0034] S2-5. Comprehensively analyze and process the real-time operating status data of the flexible communication tower to obtain interference data corresponding to the operating status of the flexible communication tower.
[0035] Furthermore, obtaining the correlation relationship of the corresponding flexible communication tower operation data according to the historical operation data of the flexible communication tower includes:
[0036] S2-2-1. Acquire environmental data and vibration information data corresponding to the historical operation of the flexible communication tower according to the historical operation data of the flexible communication tower as external data of the operation of the flexible communication tower;
[0037] S2-2-2. According to the external data of the operation of the flexible communication tower, basic information data and stress and strain data of the corresponding flexible communication tower are obtained as internal data of the operation of the flexible communication tower;
[0038] S2-2-3, using the external data and internal data of the flexible communication tower operation to establish a linear mapping of the corresponding flexible communication tower operation data;
[0039] S2-2-3-1. Obtaining a first linear relationship between air temperature and tower structure using external data and internal data of the flexible communication tower operation;
[0040] S2-2-3-2, obtaining a second linear relationship between stress and strain based on the first linear relationship;
[0041] S2-2-3-3. Acquire a third linear relationship between wind speed and vibration frequency based on the first linear relationship and the second linear relationship;
[0042] S2-2-3-4, using the first linear relationship, the second linear relationship and the third linear relationship to establish a linear mapping of the flexible communication tower operation data;
[0043] S2-2-4, using the linear mapping of the flexible communication tower operation data to obtain a nonlinear mapping of the corresponding flexible communication tower operation data;
[0044] S2-2-4-1. Obtaining a first nonlinear relationship between the vibration frequency, amplitude, vibration mode and wind load of the flexible communication tower by linear mapping of the operation data of the flexible communication tower;
[0045] S2-2-4-2. Obtain a second nonlinear relationship between the corresponding wind load and the tower structure and stress according to the first nonlinear relationship;
[0046] S2-2-4-3. Obtain a third nonlinear relationship between the vibration frequency and vibration mode of the flexible communication tower and the wind load and tower structure according to the second nonlinear relationship;
[0047] S2-2-4-4, using the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship to establish a nonlinear mapping of the corresponding flexible communication tower operation data;
[0048] S2-2-5, using the linear mapping and nonlinear mapping of the flexible communication tower operation data as the association relationship of the flexible communication tower operation data;
[0049] Among them, the first linear relationship, the second linear relationship and the third linear relationship are all proportional linear mathematical relationships. The tower material will expand and contract due to the influence of temperature, and the corresponding structure will change in size; the thermal expansion and contraction caused by temperature changes will bring stress and strain inside the structure, and within the elastic range, according to Hooke's law, stress is proportional to strain, which is also a linear mathematical relationship; an increase in wind speed usually leads to an increase in the vibration frequency and amplitude of the tower; the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship are many-to-one nonlinear mathematical relationships; the calculation formula of the wind load is: wind load = C × q × A × K , C is the wind coefficient, q It's wind pressure. A is the windward area of the structure perpendicular to the wind direction, K is the wind height variation coefficient.
[0050] Furthermore, the interference data corresponding to the operation state of the flexible communication tower obtained by comprehensive analysis and processing of the real-time operation state data of the flexible communication tower includes:
[0051] S2-5-1. Obtain corresponding abnormal vibration frequency data and abnormal amplitude data according to the real-time operation status data of the flexible communication tower;
[0052] S2-5-2. Obtain the resonant abnormal vibration result of the flexible communication tower according to the abnormal vibration frequency data and the abnormal amplitude data;
[0053] S2-5-2-1, obtaining abnormal environment data and abnormal tower structure data according to the association relationship between the abnormal vibration frequency data and the abnormal amplitude data based on the flexible communication tower operation data;
[0054] S2-5-2-2, respectively obtaining the natural frequency and the external excitation frequency in the abnormal vibration frequency according to the abnormal environment data and the abnormal tower structure data;
[0055] S2-5-2-3, determine whether the natural frequency in the abnormal vibration frequency is close to the external excitation frequency, if so, output the abnormal vibration result of the flexible communication tower as resonance abnormality, otherwise, execute S2-5-2-4;
[0056] S2-5-2-4, determine whether the numerical value of the abnormal amplitude data at the same frequency is proportional to the numerical value of the abnormal environment data, if so, output the abnormal vibration result of the flexible communication tower as a resonance abnormality, otherwise, output the abnormal vibration result of the flexible communication tower as other vibration abnormalities;
[0057] S2-5-3. Comprehensively analyze and process the abnormal vibration results of the flexible communication tower and the real-time operation status data of the flexible communication tower to obtain the interference factors corresponding to the operation status of the flexible communication tower;
[0058] S2-5-4. Obtain interference data corresponding to the operation state of the flexible communication tower according to the interference factors of the operation state of the flexible communication tower;
[0059] S2-5-4-1. Obtain the sudden change data of wind load change trend and temperature sudden change data respectively according to the interference factors of the flexible communication tower operation state;
[0060] S2-5-4-2, judging whether the mutation data of the wind load change trend is consistent with the operation deviation data, if so, outputting the operation deviation data as wind interference data, otherwise, outputting the wind load data corresponding to the resonant operation as wind interference data;
[0061] S2-5-4-3. Determine whether the temperature mutation data is consistent with the operation deviation data. If so, output the operation deviation data as temperature interference data. Otherwise, output the temperature change data corresponding to the resonant operation as temperature interference data.
[0062] Furthermore, according to the abnormal vibration result of the flexible communication tower and the real-time operation status data of the flexible communication tower, the interference factors corresponding to the operation status of the flexible communication tower are obtained through comprehensive analysis and processing, including:
[0063] S2-5-3-1. According to the abnormal resonance results of the flexible communication tower and the real-time operation status data of the flexible communication tower, the wind load data of the resonant operation and the wind load data of the normal operation are obtained respectively, and the wind load change trend of the resonant operation is established;
[0064] S2-5-3-2, obtain the wind load change benchmark trend of the benchmark data;
[0065] S2-5-3-3, determine whether the wind load change trend of the resonant operation is consistent with the wind load change benchmark trend, if so, output the wind load data of the resonant operation as a non-interference factor, and execute S2-5-3-4, otherwise, output the wind load data of the resonant operation as a wind interference factor, and directly execute S2-5-4-1;
[0066] S2-5-3-4, obtaining temperature change data of resonance operation and temperature change data of normal operation respectively according to the abnormal resonance result of the flexible communication tower and the real-time operation status data of the flexible communication tower;
[0067] S2-5-3-5, determine whether the temperature change data of the resonant operation is compared with the temperature change data of the normal operation to see whether a sudden temperature change occurs. If so, output the temperature change data of the resonant operation as a temperature interference factor and directly execute S2-5-4-1. Otherwise, output the temperature change data corresponding to the resonant operation as a non-interference factor.
[0068] S2-5-3-6. Utilize the wind interference factor and the temperature interference factor as interference factors for the operation state of the flexible communication tower.
[0069] Furthermore, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a resonance prediction model of the flexible communication tower based on a support vector machine includes:
[0070] S3-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a dynamic response of the resonant operation;
[0071] S3-1-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to obtain the vibration response of the resonant operation;
[0072] S3-1-2, obtaining time data characteristics of the resonance operation according to the vibration response of the resonance operation by time division;
[0073] S3-1-3, obtaining a stress response corresponding to the resonance operation according to the time data characteristics of the resonance operation;
[0074] S3-1-4, using the vibration response and stress response of the resonance operation as the dynamic response of the resonance operation;
[0075] S3-2, respectively obtaining dynamic characteristics of environmental data and dynamic characteristics of vibration data corresponding to the resonance operation according to the dynamic response of the resonance operation;
[0076] S3-3. Using the dynamic characteristics of environmental data and vibration data, a resonance operation prediction model of the corresponding flexible communication tower is established based on a support vector machine.
[0077] Furthermore, the resonance operation prediction model of the corresponding flexible communication tower is established based on the support vector machine by utilizing the dynamic characteristics of the environmental data and the dynamic characteristics of the vibration data, including:
[0078] S3-3-1, using the dynamic response of the resonant operation as a training set, and using the dynamic characteristics of the vibration data of the resonant operation as a verification set;
[0079] S3-3-2, using the training set as input and the verification set as output, establishing an initial resonance model based on a support vector machine;
[0080] S3-3-3, determine whether the output result of the initial resonance model corresponds to the verification set, if so, execute S3-3-4, otherwise, use the output result of the initial resonance model as an abnormal value, and use the abnormal value as input, and return to S3-3-2;
[0081] S3-3-4. Establish the changing trend of output results;
[0082] S3-3-5. Determine whether the changing trend of the output result corresponds to time. If so, output the initial resonance model as the resonance operation prediction model of the flexible communication tower. Otherwise, obtain the abnormal value of the changing trend of the output result, use the abnormal value as input, and return to S3-3-2.
[0083] Furthermore, the resonance risk assessment process is performed according to the resonance prediction model of the flexible communication tower to obtain the resonance operation state assessment prediction result of the flexible communication tower, including:
[0084] S4-1, performing resonance risk assessment processing according to the resonance prediction model of the flexible communication tower to obtain the resonance operation risk level of the flexible communication tower;
[0085] S4-1-1. Obtain the output result of the corresponding resonance prediction model according to the resonance prediction model of the flexible communication tower:
[0086] S4-1-2, obtaining corresponding vibration frequency characteristic data according to the output result of the resonance prediction model;
[0087] S4-1-3, determine whether the vibration frequency characteristic data has a resonance point that matches the natural frequency of wind speed, if so, use the vibration frequency characteristic data with a resonance point that matches the natural frequency of wind speed as input, and return to S3-3-2, otherwise, output the output result of the resonance prediction model of the flexible communication tower as the resonance operation prediction result of the flexible communication tower;
[0088] S4-2, performing risk assessment processing according to the prediction result of the resonance operation of the flexible communication tower to obtain the resonance operation risk level result of the flexible communication tower;
[0089] S4-3. Utilize the resonance operation risk level result of the flexible communication tower as the resonance operation state evaluation prediction result of the flexible communication tower.
[0090] Furthermore, the risk level of the resonance operation of the flexible communication tower obtained by performing risk assessment processing according to the resonance operation prediction result of the flexible communication tower includes:
[0091] S4-2-1. Obtain corresponding vibration frequency and tower response prediction results according to the resonance operation prediction results of the flexible communication tower;
[0092] S4-2-2. Obtain corresponding interference prediction data based on the vibration frequency and tower response prediction results;
[0093] S4-2-3, obtaining the change trend of the interference prediction data;
[0094] S4-2-4, judging whether the change trend of the interference data is consistent with the time change, if so, executing S4-2-5, otherwise, outputting that the resonance operation risk level of the flexible communication tower is low;
[0095] S4-2-5. Determine whether the change trend of the interference data is consistent with the time change. If so, output the resonance operation risk level of the flexible communication tower as high; otherwise, output the resonance operation risk level of the flexible communication tower as medium.
[0096] Compared with the closest prior art, the present invention has the following beneficial effects:
[0097] The present invention collects real-time operating data of the flexible communication tower, obtains abnormal operating conditions and corresponding interference data based on benchmark data, and conducts real-time comprehensive analysis of the real-time resonant operating state of the flexible communication tower in combination with environmental changes and dynamic responses of the tower. At the same time, a resonant operation prediction model is established using the real-time operating data under the resonant operating state, and real-time analysis can be performed to improve the accuracy of the prediction results. By combining the risk level system with the evaluation indicators, a comprehensive analysis is conducted on the resonance prediction results output by the model, and potential resonance hazards can be discovered in time to improve the prediction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0098] Figure 1 The invention discloses a flow chart of a method for evaluating and predicting the resonance operation state of a flexible communication tower. DETAILED DESCRIPTION
[0099] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0100] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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.
[0101] Embodiment 1: The present invention provides a method for evaluating and predicting the resonance operation state of a flexible communication tower, such as Figure 1 As shown, including:
[0102] S1. Obtain real-time operation data of the flexible communication tower;
[0103] S2. Performing comprehensive analysis and processing on the real-time operation data of the flexible communication tower to obtain interference data of the operation state of the flexible communication tower;
[0104] S3, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a resonance prediction model of the flexible communication tower based on a support vector machine;
[0105] S4. Perform resonance risk assessment analysis based on the resonance prediction model of the flexible communication tower to obtain a resonance operation status assessment prediction result of the flexible communication tower.
[0106] S1 specifically includes:
[0107] S1-1. Obtain basic information data of the flexible communication tower;
[0108] Respectively obtain material information data, structural information data and geographical location information data of the flexible communication tower as basic information data of the flexible communication tower;
[0109] S1-2, obtaining corresponding environmental information data according to the basic information data of the flexible communication tower;
[0110] S1-3, obtaining stress and strain information data of the corresponding tower according to the basic information data of the flexible communication tower;
[0111] S1-4, obtaining stability information data of the corresponding tower according to the basic information data and environmental information data of the flexible communication tower;
[0112] S1-5, acquiring vibration information data of the corresponding tower according to the tower stability information data and the environmental information data;
[0113] S1-6, using the vibration information data of the tower and the stress and strain information data of the tower to obtain the operation status information data of the corresponding flexible communication tower;
[0114] S1-7, obtaining the current time as the starting time for collecting the operating status information data of the flexible communication tower;
[0115] S1-8, acquiring real-time operation data of the flexible communication tower based on the acquisition start time and the operation status information data of the flexible communication tower;
[0116] Among them, the structural data of the flexible communication tower includes tower height data, tower cross-sectional size data and tower cross-sectional shape data; the environmental information data of the flexible communication tower includes wind speed, wind direction, temperature and humidity; the stability information data of the tower includes the overall inclination angle of the tower and the top swing amplitude information data; the vibration information data of the tower includes the vibration frequency, amplitude and vibration mode of the tower.
[0117] S2 specifically includes:
[0118] S2-1. Obtain historical operation data of the flexible communication tower;
[0119] S2-2, obtaining a correlation relationship of corresponding flexible communication tower operation data according to the historical operation data of the flexible communication tower;
[0120] S2-3, obtaining reference data corresponding to the operating state of the flexible communication tower according to the correlation relationship of the operating data of the flexible communication tower;
[0121] S2-3-1. Obtain normal vibration information data corresponding to the normal operating state according to the correlation relationship of the flexible communication tower operation data;
[0122] S2-3-2, obtaining temperature data, humidity data and wind load data of a normal operating state according to the normal vibration information data;
[0123] S2-3-3, using the temperature data, humidity data and wind load data of the normal operating state as the reference data of the flexible communication tower operating state;
[0124] S2-4, performing comparison processing according to the real-time operation data of the flexible communication tower to obtain the real-time operation status data of the corresponding flexible communication tower;
[0125] S2-4-1, judging whether the real-time operation data of the flexible communication tower is consistent with the reference data of the operation state of the flexible communication tower, if so, outputting the real-time operation data of the flexible communication tower as the normal state data of the real-time operation, otherwise, outputting the real-time operation data of the flexible communication tower as the abnormal state data of the real-time operation, and executing S2-4-2;
[0126] S2-4-2, judging whether the abnormal state data of the real-time operation exceeds the wind load threshold of the normal operation state, if so, obtaining the data exceeding the wind load threshold as the operation deviation data, otherwise, executing S2-4-3;
[0127] S2-4-3, judging whether the abnormal state data of the real-time operation exceeds the temperature threshold of the normal operation state, if so, obtaining the data exceeding the temperature threshold as the operation deviation data, otherwise, executing S2-4-4;
[0128] S2-4-4, judging whether the abnormal state data of the real-time operation exceeds the humidity threshold of the normal operation state, if so, obtaining the data exceeding the humidity threshold as the operation deviation data, otherwise, outputting the abnormal state data of the real-time operation as the normal state data of the real-time operation;
[0129] S2-4-5, using the real-time normal state data, abnormal state data and operation deviation data as the real-time operation state data of the flexible communication tower;
[0130] S2-5. Comprehensively analyze and process the real-time operating status data of the flexible communication tower to obtain interference data corresponding to the operating status of the flexible communication tower.
[0131] S2-2 specifically includes:
[0132] S2-2-1. Acquire environmental data and vibration information data corresponding to the historical operation of the flexible communication tower according to the historical operation data of the flexible communication tower as external data of the operation of the flexible communication tower;
[0133] S2-2-2. According to the external data of the operation of the flexible communication tower, basic information data and stress and strain data of the corresponding flexible communication tower are obtained as internal data of the operation of the flexible communication tower;
[0134] S2-2-3, using the external data and internal data of the flexible communication tower operation to establish a linear mapping of the corresponding flexible communication tower operation data;
[0135] S2-2-3-1. Obtaining a first linear relationship between air temperature and tower structure using external data and internal data of the flexible communication tower operation;
[0136] S2-2-3-2, obtaining a second linear relationship between stress and strain based on the first linear relationship;
[0137] S2-2-3-3. Acquire a third linear relationship between wind speed and vibration frequency based on the first linear relationship and the second linear relationship;
[0138] S2-2-3-4, using the first linear relationship, the second linear relationship and the third linear relationship to establish a linear mapping of the flexible communication tower operation data;
[0139] S2-2-4, using the linear mapping of the flexible communication tower operation data to obtain a nonlinear mapping of the corresponding flexible communication tower operation data;
[0140] S2-2-4-1. Obtaining a first nonlinear relationship between the vibration frequency, amplitude, vibration mode and wind load of the flexible communication tower by linear mapping of the operation data of the flexible communication tower;
[0141] S2-2-4-2. Obtain a second nonlinear relationship between the corresponding wind load and the tower structure and stress according to the first nonlinear relationship;
[0142] S2-2-4-3. Obtain a third nonlinear relationship between the vibration frequency and vibration mode of the flexible communication tower and the wind load and tower structure according to the second nonlinear relationship;
[0143] S2-2-4-4, using the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship to establish a nonlinear mapping of the corresponding flexible communication tower operation data;
[0144] S2-2-5, using the linear mapping and nonlinear mapping of the flexible communication tower operation data as the association relationship of the flexible communication tower operation data;
[0145] Among them, the first linear relationship, the second linear relationship and the third linear relationship are all proportional linear mathematical relationships. The tower material will expand and contract due to the influence of temperature, and the corresponding structure will change in size; the thermal expansion and contraction caused by temperature changes will bring stress and strain inside the structure, and within the elastic range, according to Hooke's law, stress is proportional to strain, which is also a linear mathematical relationship; an increase in wind speed usually leads to an increase in the vibration frequency and amplitude of the tower; the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship are many-to-one nonlinear mathematical relationships; the calculation formula of the wind load is: wind load = C × q × A × K , C is the wind coefficient, q It's wind pressure.A is the windward area of the structure perpendicular to the wind direction, K is the wind height variation coefficient.
[0146] S2-5 specifically includes:
[0147] S2-5-1. Obtain corresponding abnormal vibration frequency data and abnormal amplitude data according to the real-time operation status data of the flexible communication tower;
[0148] S2-5-2. Obtain the resonant abnormal vibration result of the flexible communication tower according to the abnormal vibration frequency data and the abnormal amplitude data;
[0149] S2-5-2-1, obtaining abnormal environment data and abnormal tower structure data according to the association relationship between the abnormal vibration frequency data and the abnormal amplitude data based on the flexible communication tower operation data;
[0150] S2-5-2-2, respectively obtaining the natural frequency and the external excitation frequency in the abnormal vibration frequency according to the abnormal environment data and the abnormal tower structure data;
[0151] S2-5-2-3, determine whether the natural frequency in the abnormal vibration frequency is close to the external excitation frequency, if so, output the abnormal vibration result of the flexible communication tower as resonance abnormality, otherwise, execute S2-5-2-4;
[0152] S2-5-2-4, determine whether the numerical value of the abnormal amplitude data at the same frequency is proportional to the numerical value of the abnormal environment data. If so, the abnormal vibration result of the flexible communication tower is output as a resonance abnormality; otherwise, the abnormal vibration result of the flexible communication tower is output as other vibration abnormalities;
[0153] S2-5-3. Comprehensively analyze and process the abnormal vibration results of the flexible communication tower and the real-time operation status data of the flexible communication tower to obtain the interference factors corresponding to the operation status of the flexible communication tower;
[0154] S2-5-4. Obtain interference data corresponding to the operation state of the flexible communication tower according to the interference factors of the operation state of the flexible communication tower;
[0155] S2-5-4-1. Obtain the sudden change data of wind load change trend and temperature sudden change data respectively according to the interference factors of the flexible communication tower operation state;
[0156] S2-5-4-2, judging whether the mutation data of the wind load change trend is consistent with the operation deviation data, if so, outputting the operation deviation data as wind interference data, otherwise, outputting the wind load data corresponding to the resonant operation as wind interference data;
[0157] S2-5-4-3. Determine whether the temperature mutation data is consistent with the operation deviation data. If so, output the operation deviation data as temperature interference data. Otherwise, output the temperature change data corresponding to the resonant operation as temperature interference data.
[0158] S2-5-3 specifically includes:
[0159] S2-5-3-1. According to the abnormal resonance results of the flexible communication tower and the real-time operation status data of the flexible communication tower, the wind load data of the resonant operation and the wind load data of the normal operation are obtained respectively, and the wind load change trend of the resonant operation is established;
[0160] S2-5-3-2, obtain the wind load change benchmark trend of the benchmark data;
[0161] S2-5-3-3, determine whether the wind load change trend of the resonant operation is consistent with the wind load change benchmark trend, if so, output the wind load data of the resonant operation as a non-interference factor, and execute S2-5-3-4, otherwise, output the wind load data of the resonant operation as a wind interference factor, and directly execute S2-5-4-1;
[0162] S2-5-3-4, obtaining temperature change data of resonance operation and temperature change data of normal operation respectively according to the abnormal resonance result of the flexible communication tower and the real-time operation status data of the flexible communication tower;
[0163] S2-5-3-5, determine whether the temperature change data of the resonant operation is compared with the temperature change data of the normal operation to see whether a sudden temperature change occurs. If so, output the temperature change data of the resonant operation as a temperature interference factor and directly execute S2-5-4-1. Otherwise, output the temperature change data corresponding to the resonant operation as a non-interference factor.
[0164] S2-5-3-6. Utilize the wind interference factor and the temperature interference factor as interference factors for the operation state of the flexible communication tower.
[0165] S3 specifically includes:
[0166] S3-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a dynamic response of the resonant operation;
[0167] S3-1-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to obtain the vibration response of the resonant operation;
[0168] S3-1-2, obtaining time data characteristics of the resonance operation according to the vibration response of the resonance operation by time division;
[0169] S3-1-3, obtaining a stress response corresponding to the resonance operation according to the time data characteristics of the resonance operation;
[0170] S3-1-4, using the vibration response and stress response of the resonance operation as the dynamic response of the resonance operation;
[0171] S3-2, respectively obtaining dynamic characteristics of environmental data and dynamic characteristics of vibration data corresponding to the resonance operation according to the dynamic response of the resonance operation;
[0172] S3-3. Using the dynamic characteristics of environmental data and vibration data, a resonance operation prediction model of the corresponding flexible communication tower is established based on a support vector machine.
[0173] S3-3 specifically includes:
[0174] S3-3-1, using the dynamic response of the resonant operation as a training set, and using the dynamic characteristics of the vibration data of the resonant operation as a verification set;
[0175] S3-3-2, using the training set as input and the verification set as output, establishing an initial resonance model based on a support vector machine;
[0176] S3-3-3, determine whether the output result of the initial resonance model corresponds to the verification set, if so, execute S3-3-4, otherwise, use the output result of the initial resonance model as an abnormal value, and use the abnormal value as input, and return to S3-3-2;
[0177] S3-3-4. Establish the changing trend of output results;
[0178] S3-3-5. Determine whether the changing trend of the output result corresponds to time. If so, output the initial resonance model as the resonance operation prediction model of the flexible communication tower. Otherwise, obtain the abnormal value of the changing trend of the output result, use the abnormal value as input, and return to S3-3-2.
[0179] S4 specifically includes:
[0180] S4-1, performing resonance risk assessment processing according to the resonance prediction model of the flexible communication tower to obtain the resonance operation risk level of the flexible communication tower;
[0181] S4-1-1. Obtain the output result of the corresponding resonance prediction model according to the resonance prediction model of the flexible communication tower:
[0182] S4-1-2, obtaining corresponding vibration frequency characteristic data according to the output result of the resonance prediction model;
[0183] S4-1-3, determine whether the vibration frequency characteristic data has a resonance point that matches the natural frequency of wind speed, if so, use the vibration frequency characteristic data with a resonance point that matches the natural frequency of wind speed as input, and return to S3-3-2, otherwise, output the output result of the resonance prediction model of the flexible communication tower as the resonance operation prediction result of the flexible communication tower;
[0184] S4-2, performing risk assessment processing according to the prediction result of the resonance operation of the flexible communication tower to obtain the resonance operation risk level result of the flexible communication tower;
[0185] S4-3. Utilize the resonance operation risk level result of the flexible communication tower as the resonance operation state evaluation prediction result of the flexible communication tower.
[0186] S4-2 specifically includes:
[0187] S4-2-1. Obtain corresponding vibration frequency and tower response prediction results according to the resonance operation prediction results of the flexible communication tower;
[0188] S4-2-2. Obtain corresponding interference prediction data based on the vibration frequency and tower response prediction results;
[0189] S4-2-3, obtaining the change trend of the interference prediction data;
[0190] S4-2-4, judging whether the change trend of the interference data is consistent with the time change, if so, executing S4-2-5, otherwise, outputting the resonance operation risk level of the flexible communication tower as low;
[0191] S4-2-5. Determine whether the change trend of the interference data is consistent with the time change. If so, output the resonance operation risk level of the flexible communication tower as high; otherwise, output the resonance operation risk level of the flexible communication tower as medium.
[0192] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0193] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0194] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0195] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0196] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A method for evaluating and predicting the resonance operation state of a flexible communication tower, characterized in that: include: S1. Obtain real-time operation data of the flexible communication tower; S2. Comprehensively analyzing and processing the real-time operation data of the flexible communication tower to obtain interference data of the operation state of the flexible communication tower, including: S2-1. Obtain historical operation data of the flexible communication tower; S2-2, obtaining a correlation relationship of corresponding flexible communication tower operation data according to the historical operation data of the flexible communication tower; S2-2-1. Acquire environmental data and vibration information data corresponding to the historical operation of the flexible communication tower according to the historical operation data of the flexible communication tower as external data of the operation of the flexible communication tower; S2-2-2. According to the external data of the operation of the flexible communication tower, basic information data and stress and strain data of the corresponding flexible communication tower are obtained as internal data of the operation of the flexible communication tower; S2-2-3, using the external data and internal data of the flexible communication tower operation to establish a linear mapping of the corresponding flexible communication tower operation data; S2-2-3-1. Obtaining a first linear relationship between air temperature and tower structure using external data and internal data of the flexible communication tower operation; S2-2-3-2, obtaining a second linear relationship between stress and strain based on the first linear relationship; S2-2-3-3. Acquire a third linear relationship between wind speed and vibration frequency based on the first linear relationship and the second linear relationship; S2-2-3-4, using the first linear relationship, the second linear relationship and the third linear relationship to establish a linear mapping of the flexible communication tower operation data; S2-2-4, using the linear mapping of the flexible communication tower operation data to obtain a nonlinear mapping of the corresponding flexible communication tower operation data; S2-2-4-1. Obtaining a first nonlinear relationship between the vibration frequency, amplitude, vibration mode and wind load of the flexible communication tower by linear mapping of the operation data of the flexible communication tower; S2-2-4-2. Obtain a second nonlinear relationship between the corresponding wind load and the tower structure and stress according to the first nonlinear relationship; S2-2-4-3. Obtain a third nonlinear relationship between the vibration frequency and vibration mode of the flexible communication tower and the wind load and tower structure according to the second nonlinear relationship; S2-2-4-4, using the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship to establish a nonlinear mapping of the corresponding flexible communication tower operation data; S2-2-5, using the linear mapping and nonlinear mapping of the flexible communication tower operation data as the association relationship of the flexible communication tower operation data; S2-3, obtaining reference data corresponding to the operating state of the flexible communication tower according to the correlation relationship of the operating data of the flexible communication tower; S2-3-1. Obtain normal vibration information data corresponding to the normal operating state according to the correlation relationship of the flexible communication tower operation data; S2-3-2, obtaining temperature data, humidity data and wind load data of a normal operating state according to the normal vibration information data; S2-3-3, using the temperature data, humidity data and wind load data of the normal operating state as the reference data of the flexible communication tower operating state; S2-4, performing comparison processing according to the real-time operation data of the flexible communication tower to obtain the real-time operation status data of the corresponding flexible communication tower; S2-4-1, judging whether the real-time operation data of the flexible communication tower is consistent with the reference data of the operation state of the flexible communication tower, if so, outputting the real-time operation data of the flexible communication tower as the normal state data of the real-time operation, otherwise, outputting the real-time operation data of the flexible communication tower as the abnormal state data of the real-time operation, and executing S2-4-2; S2-4-2, judging whether the abnormal state data of the real-time operation exceeds the wind load threshold of the normal operation state, if so, obtaining the data exceeding the wind load threshold as the operation deviation data, otherwise, executing S2-4-3; S2-4-3, judging whether the abnormal state data of the real-time operation exceeds the temperature threshold of the normal operation state, if so, obtaining the data exceeding the temperature threshold as the operation deviation data, otherwise, executing S2-4-4; S2-4-4, judging whether the abnormal state data of the real-time operation exceeds the humidity threshold of the normal operation state, if so, obtaining the data exceeding the humidity threshold as the operation deviation data, otherwise, outputting the abnormal state data of the real-time operation as the normal state data of the real-time operation; S2-4-5, using the real-time normal state data, abnormal state data and operation deviation data as the real-time operation state data of the flexible communication tower; S2-5, performing comprehensive analysis and processing on the real-time operation status data of the flexible communication tower to obtain interference data corresponding to the operation status of the flexible communication tower; S2-5-1. Obtain corresponding abnormal vibration frequency data and abnormal amplitude data according to the real-time operation status data of the flexible communication tower; S2-5-2. Obtain the resonant abnormal vibration result of the flexible communication tower according to the abnormal vibration frequency data and the abnormal amplitude data; S2-5-2-1, obtaining abnormal environment data and abnormal tower structure data according to the association relationship between the abnormal vibration frequency data and the abnormal amplitude data based on the flexible communication tower operation data; S2-5-2-2, respectively obtaining the natural frequency and the external excitation frequency in the abnormal vibration frequency according to the abnormal environment data and the abnormal tower structure data; S2-5-2-3, determine whether the natural frequency in the abnormal vibration frequency is close to the external excitation frequency, if so, output the abnormal vibration result of the flexible communication tower as resonance abnormality, otherwise, execute S2-5-2-4; S2-5-2-4, determine whether the numerical value of the abnormal amplitude data at the same frequency is proportional to the numerical value of the abnormal environment data. If so, the abnormal vibration result of the flexible communication tower is output as a resonance abnormality; otherwise, the abnormal vibration result of the flexible communication tower is output as other vibration abnormalities; S2-5-3. Comprehensively analyze and process the abnormal vibration results of the flexible communication tower and the real-time operation status data of the flexible communication tower to obtain the interference factors corresponding to the operation status of the flexible communication tower; S2-5-3-1. According to the abnormal resonance results of the flexible communication tower and the real-time operation status data of the flexible communication tower, the wind load data of the resonant operation and the wind load data of the normal operation are obtained respectively, and the wind load change trend of the resonant operation is established; S2-5-3-2, obtain the wind load change benchmark trend of the benchmark data; S2-5-3-3, determine whether the wind load change trend of the resonant operation is consistent with the wind load change benchmark trend, if so, output the wind load data of the resonant operation as a non-interference factor, and execute S2-5-3-4, otherwise, output the wind load data of the resonant operation as a wind interference factor, and directly execute S2-5-4-1; S2-5-3-4, obtaining temperature change data of resonance operation and temperature change data of normal operation respectively according to the abnormal resonance result of the flexible communication tower and the real-time operation status data of the flexible communication tower; S2-5-3-5, determine whether the temperature change data of the resonant operation is compared with the temperature change data of the normal operation to see whether a sudden temperature change occurs. If so, output the temperature change data of the resonant operation as a temperature interference factor and directly execute S2-5-4-1. Otherwise, output the temperature change data corresponding to the resonant operation as a non-interference factor. S2-5-3-6, using the wind interference factor and the temperature interference factor as interference factors for the operation state of the flexible communication tower; S2-5-4. Obtain interference data corresponding to the operation state of the flexible communication tower according to the interference factors of the operation state of the flexible communication tower; S2-5-4-1. Obtain the sudden change data of wind load change trend and temperature sudden change data respectively according to the interference factors of the flexible communication tower operation state; S2-5-4-2, judging whether the mutation data of the wind load change trend is consistent with the operation deviation data, if so, outputting the operation deviation data as wind interference data, otherwise, outputting the wind load data corresponding to the resonant operation as wind interference data; S2-5-4-3, determine whether the temperature mutation data is consistent with the operation deviation data, if so, output the operation deviation data as temperature interference data, otherwise, output the temperature change data corresponding to the resonance operation as temperature interference data; S3, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a resonance prediction model of the flexible communication tower based on a support vector machine; S3-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to establish a dynamic response of the resonant operation; S3-1-1, using the real-time operation data of the flexible communication tower and the interference data of the operation state of the flexible communication tower to obtain the vibration response of the resonant operation; S3-1-2, obtaining time data characteristics of the resonance operation according to the vibration response of the resonance operation by time division; S3-1-3, obtaining a stress response corresponding to the resonance operation according to the time data characteristics of the resonance operation; S3-1-4, using the vibration response and stress response of the resonance operation as the dynamic response of the resonance operation; S3-2, respectively obtaining dynamic characteristics of environmental data and dynamic characteristics of vibration data corresponding to the resonance operation according to the dynamic response of the resonance operation; S3-3. Using the dynamic characteristics of environmental data and vibration data to establish a resonance operation prediction model for the corresponding flexible communication tower based on a support vector machine; S3-3-1, using the dynamic response of the resonant operation as a training set, and using the dynamic characteristics of the vibration data of the resonant operation as a verification set; S3-3-2, using the training set as input and the verification set as output, establishing an initial resonance model based on a support vector machine; S3-3-3, determine whether the output result of the initial resonance model corresponds to the verification set, if so, execute S3-3-4, otherwise, use the output result of the initial resonance model as an abnormal value, and use the abnormal value as input, and return to S3-3-2; S3-3-4. Establish the changing trend of output results; S3-3-5, judging whether the change trend of the output result corresponds to time, if so, outputting the initial resonance model as the resonance operation prediction model of the flexible communication tower, otherwise, obtaining the abnormal value of the change trend of the output result, and using the abnormal value as input, returning to S3-3-2; S4, performing resonance risk assessment analysis according to the resonance prediction model of the flexible communication tower to obtain a resonance operation state assessment prediction result of the flexible communication tower; Among them, the first linear relationship, the second linear relationship and the third linear relationship are all proportional linear mathematical relationships. The tower material will expand and contract due to temperature, and the corresponding structure will change in size; the thermal expansion and contraction caused by temperature changes will bring stress and strain inside the structure, and within the elastic range, according to Hooke's law, stress and strain are proportional, which is a linear mathematical relationship; an increase in wind speed leads to an increase in the vibration frequency and amplitude of the tower; the first nonlinear relationship, the second nonlinear relationship and the third nonlinear relationship are many-to-one nonlinear mathematical relationships.
2. A method for evaluating and predicting the resonance operation state of a flexible communication tower according to claim 1, characterized in that: The obtaining of real-time operation data of the flexible communication tower comprises: S1-1. Obtain basic information data of the flexible communication tower; Respectively obtain material information data, structural information data and geographical location information data of the flexible communication tower as basic information data of the flexible communication tower; S1-2, obtaining corresponding environmental information data according to the basic information data of the flexible communication tower; S1-3, obtaining stress and strain information data of the corresponding tower according to the basic information data of the flexible communication tower; S1-4, obtaining stability information data of the corresponding tower according to the basic information data and environmental information data of the flexible communication tower; S1-5, acquiring vibration information data of the corresponding tower according to the stability information data and environmental information data of the tower; S1-6, using the vibration information data of the tower and the stress and strain information data of the tower to obtain the operation status information data of the corresponding flexible communication tower; S1-7, obtaining the current time as the starting time for collecting the operating status information data of the flexible communication tower; S1-8. Acquire the real-time operation data of the flexible communication tower based on the collection start time and the operation status information data of the flexible communication tower.
3. A method for evaluating and predicting the resonance operation state of a flexible communication tower according to claim 1, characterized in that: The resonance risk assessment analysis based on the resonance prediction model of the flexible communication tower obtains the resonance operation state assessment prediction results of the flexible communication tower, including: S4-1, obtaining a resonance operation prediction result of the flexible communication tower according to the resonance prediction model of the flexible communication tower; S4-1-1. Obtain the output result of the corresponding resonance prediction model according to the resonance prediction model of the flexible communication tower: S4-1-2, obtaining corresponding vibration frequency characteristic data according to the output result of the resonance prediction model; S4-1-3, determine whether the vibration frequency characteristic data has a resonance point that matches the natural frequency of wind speed, if so, use the vibration frequency characteristic data with a resonance point that matches the natural frequency of wind speed as input, and return to S3-3-2, otherwise, output the output result of the resonance prediction model of the flexible communication tower as the resonance operation prediction result of the flexible communication tower; S4-2, performing risk assessment processing according to the prediction result of the resonance operation of the flexible communication tower to obtain the resonance operation risk level result of the flexible communication tower; S4-3. Utilize the resonance operation risk level result of the flexible communication tower as the resonance operation state evaluation prediction result of the flexible communication tower.
4. A method for evaluating and predicting the resonance operation state of a flexible communication tower according to claim 3, characterized in that: The resonant operation risk level results of the flexible communication tower obtained by performing risk assessment processing according to the resonant operation prediction results of the flexible communication tower include: S4-2-1. Obtain corresponding vibration frequency and tower response prediction results according to the resonance operation prediction results of the flexible communication tower; S4-2-2. Obtain corresponding interference prediction data based on the vibration frequency and tower response prediction results; S4-2-3, obtaining the change trend of the interference prediction data; S4-2-4, judging whether the change trend of the interference data is consistent with the time change, if so, executing S4-2-5, otherwise, outputting that the resonance operation risk level of the flexible communication tower is low; S4-2-5. Determine whether the change trend of the interference data is consistent with the time change. If so, output the resonance operation risk level of the flexible communication tower as high; otherwise, output the resonance operation risk level of the flexible communication tower as medium.
Citation Information
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