Power transmission line parameter monitoring and early warning method and system based on industrial big data

Abstract

The invention relates to the technical field of power transmission line monitoring, in particular to a power transmission line parameter monitoring and early warning method and system based on industrial big data, and the method comprises the steps: analyzing the fixed state of a power transmission line between adjacent iron towers through environment detection data, iron tower position data and line connection data; analyzing the line response efficiency of the power transmission line between the adjacent iron towers through the power transmission line parameter data; based on the analysis result of the fixed state of the power transmission line between the adjacent iron towers and the analysis result of the line response efficiency, constructing a power transmission line working stability evaluation model, and evaluating the working stability of the power transmission line between the adjacent iron towers; and performing maintenance early warning on the power transmission line between the adjacent iron towers according to the working stability evaluation result of the power transmission line between the adjacent iron towers. The method achieves the differentiated evaluation of the risks of line segments in different directions, effectively compensates for the hysteresis of the conventional periodic inspection, facilitates the reduction of the fault occurrence probability, and improves the operation reliability of a power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission line monitoring, and particularly to a method and system for monitoring and warning transmission line parameters based on industrial big data. Background Art

[0002] As the core artery of the power system, the operation stability of transmission lines directly affects the safety of regional power supply and the stability of the economy. With the large-scale expansion of the UHV transmission network, ultra-long-distance and cross-regional transmission lines are under the combined action of mechanical stress, electromagnetic interference and dynamic environmental loads for a long time under complex terrain and extreme climate conditions. Taking the cold region in Northeast China as an example, the construction and maintenance of transmission line foundations face severe challenges in the severe cold environment in winter: the low temperature of minus 20°C leads to a sharp drop in the setting efficiency after concrete pouring. When the traditional process of "large excavation of foundation pits + covering the ground with charcoal fire for heat preservation" is adopted, it relies on manual replacement of charcoal basins and tarpaulins for heat preservation at regular intervals, which not only poses a risk of carbon monoxide poisoning, but also makes it difficult to accurately control the quality of concrete curing due to the lag of manual transcription of temperature and humidity parameters. The superposition effect of such hidden dangers during the construction stage and the extreme loads borne after the line is put into operation makes problems such as tower foundation settlement caused by insufficient correction of foundation soil quality during the construction period in complex terrain sections, abnormal line tension caused by ice galloping in winter, and structural deterioration caused by the expansion of microcracks in concrete foundations be coupled with each other, making hidden dangers such as line sag offset and insulation aging show significant non-linear characteristics. The application of industrial big data technology provides a new method for line state perception. By integrating intelligent sensors, UAV inspections and environmental monitoring data, key parameters such as conductor temperature, tension, vibration spectrum, and ice thickness can be obtained and monitored in real time, so as to ensure the operation stability of transmission lines, which is of great significance for ensuring regional power supply safety.

[0003] However, when analyzing the monitoring of transmission line parameters in the prior art, the analysis of the fixed state of the transmission line under the coupling action of the transmission line direction and the terrain is ignored, and the influence of wind direction and terrain undulation on the force polarization effect between adjacent iron towers on the line and the non-linear influence of the stable state of adjacent tower foundations on the line in the line direction on the force of the transmission line are not considered, resulting in the prior art being difficult to capture the azimuth sensitivity defects of the fixed state of the transmission line under complex working conditions, leading to the accumulation of local hidden dangers of the line and an increase in the probability of chain failures.

[0004] To solve these problems, the present application designs a method and system for monitoring and warning transmission line parameters based on industrial big data. Summary of the Invention

[0005] In order to overcome the defects and deficiencies of the existing technologies, the present invention provides a method and system for monitoring and warning transmission line parameters based on industrial big data. By comprehensively analyzing the fixed state of the transmission line between adjacent iron towers and the line response efficiency; and based on the above analysis results, an evaluation model for the working stability of the transmission line is further constructed to evaluate the working stability of the transmission line between adjacent iron towers; realizing the differential evaluation of the risks of line segments in different directions, effectively making up for the lag of traditional periodic inspections, helping to reduce the probability of faults, and improving the reliability of power grid operation.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides a method for monitoring and warning transmission line parameters based on industrial big data, including the following steps:

[0008] S1. Obtain the iron tower position data and line connection data on the transmission line, and at the same time obtain the environmental detection data and transmission line parameter data;

[0009] S2. Import the environmental detection data, iron tower position data and line connection data into the line fixed state analysis model to analyze the fixed state of the transmission line between adjacent iron towers;

[0010] S3. Import the transmission line parameter data into the line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent iron towers;

[0011] S4. Based on the analysis results of the fixed state of the transmission line between adjacent iron towers and the analysis results of the line response efficiency, construct an evaluation model for the working stability of the transmission line to evaluate the working stability of the transmission line between adjacent iron towers;

[0012] S5. According to the evaluation result of the working stability of the transmission line between adjacent iron towers, give a maintenance warning for the transmission line between adjacent iron towers.

[0013] In the preferred technical solution of the present invention, the analysis of the fixed state of the transmission line between adjacent iron towers in step S2 includes the following specific steps:

[0014] S21. Extract the iron tower position data and line connection data on the transmission line, and at the same time extract the environmental detection data;

[0015] S22. Based on the iron tower position data, line connection data and environmental detection data, construct a line fixed state analysis model to analyze the fixed state of the transmission line between adjacent iron towers, and obtain the analysis result of the fixed state of the transmission line between adjacent iron towers.

[0016] Among them, the calculation formula for the fixed state of the transmission line is:

[0017]

[0018] Wherein, Sgd is the fixed state of the transmission line between adjacent iron towers, Asl is the stress polarization state in the line direction, and Atw is the stability state of the tower foundation.

[0019] In the preferred technical solution of the present invention, the construction process of the line fixed state analysis model in step S22 includes the following specific steps:

[0020] S221. Analyze the stress polarization state in the line direction based on the iron tower position data, line connection data, and environmental detection data to obtain the analysis result of the stress polarization state in the line direction;

[0021] Among them, the calculation formula for the stress polarization state in the line direction is:

[0022]

[0023] Wherein, Fhz is the dynamic wind load factor between adjacent iron towers, Fxg is the line direction height coupling index between adjacent iron towers, and Asl max is the maximum value of the historical stress polarization state in the line direction between adjacent iron towers in the transmission line network.

[0024] S222. Analyze the stability state of the tower foundation based on the iron tower position data, line connection data, and environmental detection data to obtain the analysis result of the stability state of the tower foundation;

[0025] Among them, the calculation formula for the stability state of the tower foundation is:

[0026]

[0027] Wherein, Cmax is the maximum settlement threshold of the iron tower foundation, n is the number of iron tower legs in the iron tower position data, ty is the operation time of the iron tower in the iron tower position data, Qi is the load of the i-th tower leg of the iron tower in the iron tower position data, Ai is the foundation bottom area of the i-th tower leg of the iron tower in the iron tower position data, Ewi is the foundation elastic modulus of the i-th tower leg of the iron tower in the environmental detection data, and Dz is the foundation soil quality correction index;

[0028] S223. Analyze the fixed state of the transmission line between adjacent iron towers according to the analysis result of the stress polarization state in the line direction and the analysis result of the stability state of the tower foundation to obtain the analysis result of the fixed state of the transmission line between adjacent iron towers.

[0029] In the preferred technical solution of the present invention, the analysis of the stress polarization state in the line direction in step S221 specifically includes:

[0030] S2211. Analyze the dynamic wind load factor between adjacent iron towers based on the iron tower location data, line connection data, and environmental detection data, and obtain the analysis result of the dynamic wind load factor between adjacent iron towers;

[0031] S2212. Analyze the line direction height coupling index between adjacent iron towers based on the iron tower location data, line connection data, and environmental detection data, and obtain the analysis result of the line direction height coupling index between adjacent iron towers;

[0032] S2213. Analyze the stress polarization state in the line direction according to the analysis result of the dynamic wind load factor between adjacent iron towers and the analysis result of the line direction height coupling index, and obtain the analysis result of the stress polarization state in the line direction.

[0033] In the preferred technical solution of the present invention, the analysis of the tower foundation stability state in step S222 specifically includes:

[0034] S2221. Analyze the foundation soil quality correction index based on the iron tower location data, and obtain the analysis result of the foundation soil quality correction index;

[0035] S2222. Analyze the tower foundation stability state based on the iron tower location data, line connection data, environmental detection data, and foundation soil quality correction index, and obtain the analysis result of the tower foundation stability state.

[0036] In the preferred technical solution of the present invention, the analysis of the line response efficiency of the transmission line between adjacent iron towers in step S3 includes the following specific steps:

[0037] S31. Extract the transmission line parameter data;

[0038] S32. Based on the transmission line parameter data, construct a line response efficiency analysis model, analyze the line response efficiency of the transmission line between adjacent iron towers, and obtain the analysis result of the line response efficiency of the transmission line between adjacent iron towers;

[0039] Among them, the calculation formula of the line response efficiency is:

[0040]

[0041] In the formula, Sx is the line response efficiency of the transmission line between adjacent iron towers, Ra is the real-time resistance value of the transmission line between adjacent iron towers, Ia is the real-time current value of the transmission line between adjacent iron towers, Hs is the historical loss cumulative effect index, and Pnom is the rated power.

[0042] In the preferred technical solution of the present invention, the construction process of the line fixed state analysis model in step S32 includes the following specific steps:

[0043] S321. Analyze the historical loss cumulative effect index based on the transmission line parameter data to obtain the analysis result of the historical loss cumulative effect index.

[0044] S322. Analyze the line response efficiency of the transmission line between adjacent iron towers based on the transmission line parameter data and the historical loss cumulative effect index to obtain the analysis result of the line response efficiency of the transmission line between adjacent iron towers.

[0045] In the preferred technical solution of the present invention, in step S4, constructing a transmission line working stability evaluation model includes the following specific steps:

[0046] S41. Extract the analysis results of the fixed state of the transmission line between adjacent iron towers and the analysis result of the line response efficiency obtained from the analysis.

[0047] S43. Evaluate the working stability of the transmission line between adjacent iron towers according to the analysis results of the fixed state of the transmission line between adjacent iron towers and the analysis result of the line response efficiency to obtain the evaluation result of the working stability of the transmission line between adjacent iron towers.

[0048] Among them, the evaluation formula for the working stability of the transmission line is:

[0049] W = δ·Sgd + (1 - δ)Sx;

[0050] In the formula, W is the working stability of the transmission line between adjacent iron towers, and δ is the influence factor of the fixed state of the transmission line, where 0 < δ < 1.

[0051] In the preferred technical solution of the present invention, in step S5, according to the evaluation result of the working stability of the transmission line between adjacent iron towers, a maintenance warning is given for the transmission line between adjacent iron towers, including the following specific steps:

[0052] S51. Obtain the evaluation result of the working stability of the transmission line between adjacent iron towers obtained from the evaluation.

[0053] S52. Preset a line working stability threshold. When the evaluation result of the working stability of the transmission line between adjacent iron towers is less than the line working stability threshold, a maintenance warning is given for the transmission line between adjacent iron towers.

[0054] In the second aspect, the embodiment of the present invention also provides a transmission line parameter monitoring and warning system based on industrial big data, including:

[0055] A data acquisition module, configured to acquire the iron tower position data and line connection data on the transmission line, and at the same time acquire the environmental detection data and transmission line parameter data.

[0056] The transmission line fixed state analysis module is used to import environmental detection data, tower position data, and line connection data into the line fixed state analysis model to analyze the fixed state of the transmission line between adjacent towers;

[0057] The line response efficiency analysis module is used to import transmission line parameter data into the line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent towers;

[0058] The transmission line working stability evaluation module is used to construct a transmission line working stability evaluation model based on the analysis results of the fixed state of the transmission line between adjacent towers and the analysis results of the line response efficiency, and evaluate the working stability of the transmission line between adjacent towers;

[0059] The maintenance warning module is used to give a maintenance warning for the transmission line between adjacent towers according to the working stability evaluation result of the transmission line between adjacent towers;

[0060] The control module is used to control the operation of the data acquisition module, the transmission line fixed state analysis module, the line response efficiency analysis module, the transmission line working stability evaluation module, and the maintenance warning module.

[0061] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0062] The present invention analyzes the fixed state of the transmission line between adjacent towers through environmental detection data, tower position data, and line connection data; analyzes the line response efficiency of the transmission line between adjacent towers through transmission line parameter data; constructs a transmission line working stability evaluation model based on the analysis results of the fixed state of the transmission line between adjacent towers and the analysis results of the line response efficiency, and evaluates the working stability of the transmission line between adjacent towers; gives a maintenance warning for the transmission line between adjacent towers according to the working stability evaluation result of the transmission line between adjacent towers. It realizes the differential evaluation of the risks of line segments in different directions, effectively makes up for the lag of traditional periodic inspections, helps to reduce the probability of faults, and improves the reliability of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objects, and advantages of the present invention will become more apparent:

[0064] Figure 1 It is a schematic diagram of the overall process of the transmission line parameter monitoring and warning method based on industrial big data of the present invention;

[0065] Figure 2This is a workflow diagram of step S2 in the power transmission line parameter monitoring and early warning method based on industrial big data of the present invention;

[0066] Figure 3 This is a workflow diagram of step S3 in the power transmission line parameter monitoring and early warning method based on industrial big data of the present invention;

[0067] Figure 4 This is a structural diagram of the power transmission line parameter monitoring and early warning system based on industrial big data of the present invention. DETAILED DESCRIPTION

[0068] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0069] Example 1

[0070] like Figure 1 As shown, this embodiment provides a transmission line parameter monitoring and early warning method based on industrial big data, which specifically includes the following steps:

[0071] S1. Acquire tower location data and line connection data on the transmission line, and simultaneously acquire environmental detection data and transmission line parameter data;

[0072] S2. Importing environmental detection data, tower location data, and line connection data into a line fixed state analysis model to analyze the fixed state of the transmission line between adjacent towers;

[0073] S3. Importing the transmission line parameter data into a line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent towers;

[0074] S4. Based on the fixed state analysis results and line response efficiency analysis results of the transmission line between adjacent towers, a transmission line working stability evaluation model is constructed to evaluate the working stability of the transmission line between adjacent towers;

[0075] S5. Based on the working stability assessment results of the transmission lines between adjacent towers, a maintenance warning is carried out on the transmission lines between adjacent towers.

[0076] For example, this embodiment performs an operational stability assessment on a transmission line. The current monitoring tower location is Tower 34-35. This embodiment obtains tower location data and line connection data for Towers 34-35 on the transmission line, and simultaneously obtains environmental monitoring data and transmission line parameter data for the location of Towers 34-35.

[0077] In this embodiment, analyzing the fixed state of the power transmission line between adjacent iron towers in step S2 includes the following specific steps:

[0078] S21. Extract the iron tower position data and line connection data on the power transmission line, and at the same time extract the environmental detection data;

[0079] S22. Based on the iron tower position data, line connection data, and environmental detection data, construct an analysis model for the fixed state of the line, analyze the fixed state of the power transmission line between adjacent iron towers, and obtain the analysis result of the fixed state of the power transmission line between adjacent iron towers.

[0080] Among them, the calculation formula for the fixed state of the power transmission line is:

[0081]

[0082] In the formula, Sgd is the fixed state of the power transmission line between adjacent iron towers, Asl is the force polarization state in the line direction, and Atw is the tower base stability state.

[0083] Exemplarily, in this embodiment, the calculated fixed state of the power transmission line is that the tower base stability state is 0.75, the force polarization state in the line direction is 0.048, and the fixed state of the power transmission line between the 34th - 35th iron towers is approximately 0.57.

[0084] In this embodiment, the construction process of the line fixed state analysis model in step S22 includes the following specific steps:

[0085] S221. Based on the iron tower position data, line connection data, and environmental detection data, analyze the force polarization state in the line direction to obtain the analysis result of the force polarization state in the line direction;

[0086] Among them, the calculation formula for the force polarization state in the line direction is:

[0087]

[0088] In the formula, Fhz is the dynamic wind load factor between adjacent iron towers, Fxg is the line direction height coupling index between adjacent iron towers, and Asl max is the maximum value of the historical force polarization state in the line direction between adjacent iron towers in the power transmission line network.

[0089] Exemplarily, in this embodiment, the calculated dynamic wind load factor between the 34th - 35th iron towers is 0.02, the line direction height coupling index is 1.44, and the maximum value of the historical force polarization state in the line direction between adjacent iron towers in the power transmission line network is 0.6, and the force polarization state in the line direction is obtained as 0.048;

[0090] S222. Analyze the stability state of the tower base based on the tower position data, line connection data, and environmental detection data to obtain the analysis result of the tower base stability state;

[0091] Among them, the calculation formula for the tower base stability state is:

[0092]

[0093] In the formula, Cmax is the maximum settlement threshold of the tower foundation, n is the number of tower legs in the tower position data, ty is the operating time of the tower in the tower position data, Qi is the load of the i-th tower leg of the tower in the tower position data, Ai is the foundation bottom area of the i-th tower leg of the tower in the tower position data, Ewi is the foundation elastic modulus of the i-th tower leg of the tower in the environmental detection data, and Dz is the foundation soil quality correction index.

[0094] In this embodiment, the load Qi of the i-th tower leg of the tower in the tower position data = Wt + Tavg·sinθ; where, Wt is the self-weight of the tower in the tower position data, Tavg is the average tension of the transmission line connected to the tower in the line connection data, and θ is the conductor inclination angle of the transmission line connected to the tower in the line connection data;

[0095] In this embodiment, the foundation elastic modulus Ewi of the i-th tower leg of the tower = Eo·(1 - 0.1H), where, Eo is the elastic modulus of the dry soil, and H is the real-time soil moisture content at the position of the i-th tower leg of the tower in the environmental detection data;

[0096] Exemplarily, in this embodiment, both the No. 34 - No. 35 towers are four-leg towers, with an operating time of 10 years. The maximum settlement threshold of the tower foundation is defaulted to 0.5. The calculated foundation soil quality correction index is about 1.29, and the tower base stability state is 0.75;

[0097] S223. Analyze the fixing state of the transmission line between adjacent towers based on the analysis result of the line direction force polarization state and the analysis result of the tower base stability state to obtain the analysis result of the fixing state of the transmission line between adjacent towers.

[0098] In this embodiment, the analysis of the line direction force polarization state in step S221 specifically includes:

[0099] S2211. Analyze the dynamic wind load factor between adjacent towers based on the tower position data, line connection data, and environmental detection data to obtain the analysis result of the dynamic wind load factor between adjacent towers;

[0100] In this embodiment, the calculation formula for the dynamic wind load factor is:

[0101]

[0102] Wherein, T is the duration of the environmental monitoring cycle in the environmental detection data, vt is the real-time wind speed between adjacent iron towers in the environmental detection data, ρ is the air density between adjacent iron towers in the environmental detection data, Cd is the wire resistance coefficient of the transmission line in the line connection data, D is the wire diameter of the transmission line in the line connection data, L is the horizontal distance between adjacent iron towers in the iron tower position data, φ is the angle between the real-time wind direction and the wire axis during the environmental monitoring cycle duration, and Tmax is the maximum allowable tension of the wire of the transmission line in the line connection data;

[0103] Exemplarily, in this embodiment, the horizontal distance between the 34th and 35th iron towers is 280 m, the duration of the environmental monitoring cycle is 600 s, the real-time wind speed vt between the 34th and 35th iron towers is 15 m / s, the angle between the real-time wind direction and the wire axis during the environmental monitoring cycle duration is 70, the inclination angle of the wire of the transmission line connected to the iron tower in the line connection data is 5. In this embodiment, the wire resistance coefficient of the transmission line between the 34th and 35th iron towers is defaulted to 1.1, and the detected air density between the 34th and 35th iron towers is 1.112 kg / m 3 , the wire diameter of the transmission line is 0.025 m, the maximum allowable tension of the wire of the transmission line is 75 KN, and the dynamic wind load factor between the 34th and 35th iron towers is obtained as 0.02;

[0104] S2212. Analyze the line direction height coupling index between adjacent iron towers based on the iron tower position data, line connection data, and environmental detection data to obtain the analysis result of the line direction height coupling index between adjacent iron towers;

[0105] In this embodiment, the calculation formula of the line direction height coupling index is:

[0106]

[0107] Wherein, h is the altitude of the location where the iron tower is located;

[0108] Exemplarily, in this embodiment, the altitude of the location where the 34th and 35th iron towers are located is about 500 m, and the line direction height coupling index between the 34th and 35th iron towers is obtained as about 1.44;

[0109] S2213. Analyze the line direction force polarization state based on the analysis result of the dynamic wind load factor between adjacent iron towers and the analysis result of the line direction height coupling index to obtain the analysis result of the line direction force polarization state.

[0110] In this embodiment, the analysis of the tower foundation stability state in step S222 specifically includes:

[0111] S2221. Analyze the foundation soil quality correction index based on the iron tower position data to obtain the analysis result of the foundation soil quality correction index;

[0112] In this embodiment, the calculation formula of the foundation soil quality correction index is:

[0113]

[0114] In the formula, Gs is the measured shear modulus of the foundation soil at the location of the iron tower in the iron tower position data, and Go is the design reference shear modulus;

[0115] Exemplarily, in this embodiment, the measured shear modulus of the foundation soil at the location of the iron tower is 50, and the design reference shear modulus is 70, and the obtained foundation soil quality correction index is approximately 1.29;

[0116] S2222. Analyze the tower foundation stability state based on the iron tower position data, line connection data, environmental detection data, and the foundation soil quality correction index to obtain the analysis result of the tower foundation stability state.

[0117] In this embodiment, the analysis of the line response efficiency of the transmission line between adjacent iron towers in step S3 includes the following specific steps:

[0118] S31. Extract the transmission line parameter data;

[0119] S32. Based on the transmission line parameter data, construct a line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent iron towers and obtain the analysis result of the line response efficiency of the transmission line between adjacent iron towers;

[0120] Among them, the calculation formula of the line response efficiency is:

[0121]

[0122] In the formula, Sx is the line response efficiency of the transmission line between adjacent iron towers, Ra is the real-time resistance value of the transmission line between adjacent iron towers, Ia is the real-time current value of the transmission line between adjacent iron towers, Hs is the historical loss cumulative effect index, and Pnom is the rated power.

[0123] Exemplarily, in this embodiment, the calculated historical loss cumulative effect index is 0.22, the rated power is 15 MW, the real-time resistance value is, the real-time current is 600 A, the real-time resistance value is 0.12, and the calculated line response efficiency is 0.002;

[0124] In this embodiment, the construction process of the line fixation state analysis model in step S32 includes the following specific steps:

[0125] S321. Analyze the historical loss cumulative effect index based on the transmission line parameter data to obtain the analysis result of the historical loss cumulative effect index;

[0126] In this embodiment, the calculation formula of the historical loss cumulative effect index is:

[0127]

[0128] In the formula, Ro is the reference resistance in the transmission line parameter data, To is the reference temperature, Tt is the real-time ambient temperature of the transmission line between adjacent iron towers during the ambient detection period, α is the resistance temperature coefficient, It is the real-time current value of the transmission line during the ambient detection period, and Pnom is the rated power.

[0129] Exemplarily, in this embodiment, the historical loss cumulative effect index calculated through the transmission line parameter data of the transmission line between Tower No. 34 and Tower No. 35 is 0.22;

[0130] S322. Analyze the line response efficiency of the transmission line between adjacent iron towers based on the transmission line parameter data and the historical loss cumulative effect index to obtain the analysis result of the line response efficiency of the transmission line between adjacent iron towers.

[0131] In this embodiment, the construction of the transmission line working stability evaluation model in step S4 includes the following specific steps:

[0132] S41. Extract the analysis results of the transmission line fixation state and the line response efficiency between adjacent iron towers obtained through analysis;

[0133] S43. Evaluate the working stability of the transmission line between adjacent iron towers according to the analysis results of the transmission line fixation state and the line response efficiency between adjacent iron towers to obtain the evaluation result of the working stability of the transmission line between adjacent iron towers;

[0134] Among them, the evaluation formula for the working stability of the transmission line is:

[0135] W = δ·Sgd + (1 - δ)Sx;

[0136] In the formula, W is the working stability of the transmission line between adjacent iron towers, δ is the influence factor of the transmission line fixation state, where 0 < δ < 1.

[0137] Exemplarily, in this embodiment, the influence factor of the transmission line fixation state is defaulted to: 0.6;

[0138] For example, in this embodiment, the fixed state of the transmission line between the 34th and 35th towers is about 0.57, and the line response efficiency is 0.002; the working stability of the transmission line between the 34th and 35th towers is 0.3428;

[0139] In this embodiment, in step S5, based on the working stability evaluation result of the transmission line between the adjacent towers, a maintenance warning is performed on the transmission line between the adjacent towers, which includes the following specific steps:

[0140] S51. Obtaining an evaluation result of transmission line working stability between adjacent towers;

[0141] S52, presetting a line working stability threshold, and when the working stability assessment result of the transmission line between adjacent towers is less than the line working stability threshold, issuing a maintenance warning for the transmission line between adjacent towers;

[0142] For example, in this embodiment, the line working stability threshold is set to 0.5 by default. The working stability of the transmission line between towers 34 and 35 calculated in this embodiment is 0.3428, which is less than the line working stability threshold. Therefore, the transmission line between towers 34 and 35 is marked, and a maintenance warning is sent to the inspection center. The inspection center sends a drone for inspection, and finally finds that the temperature rise of the insulator string of tower 34 reaches 90 degrees, which is higher than the normal temperature. After replacing the abnormal insulator, the re-measurement shows that the working stability of the transmission line between towers 34 and 35 is 0.85, and the maintenance warning is lifted.

[0143] It should be noted that the setting parameters (such as weights and thresholds) in this embodiment are obtained by experiments conducted by those skilled in the art. The specific experimental method is: obtaining tower position data and line connection data on multiple historical transmission lines, and simultaneously obtaining corresponding environmental detection data and transmission line parameter data, and substituting them into the steps in this embodiment to evaluate the working stability of multiple historical transmission lines, and simultaneously obtaining the judgment results of whether the multiple historical transmission lines are working stably, and importing the judgment results of whether the multiple historical transmission lines are working stably and the evaluation results of the working stability of multiple historical transmission lines obtained by performing each step into the fitting software for continuous fitting, so as to obtain the values of the setting parameters (such as weights and thresholds) that meet the maximum line working stability judgment accuracy.

[0144] Example 2

[0145] like Figure 4 As shown, this embodiment provides a transmission line parameter monitoring and early warning system based on industrial big data, including:

[0146] A data acquisition module, configured to acquire the tower position data and line connection data on the transmission line, and simultaneously acquire the environmental detection data and transmission line parameter data;

[0147] A transmission line fixed state analysis module, configured to import the environmental detection data, tower position data, and line connection data into a line fixed state analysis model to analyze the fixed state of the transmission line between adjacent towers;

[0148] A line response efficiency analysis module, configured to import the transmission line parameter data into a line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent towers;

[0149] A transmission line working stability evaluation module, configured to construct a transmission line working stability evaluation model based on the analysis results of the fixed state of the transmission line between adjacent towers and the analysis results of the line response efficiency, and evaluate the working stability of the transmission line between adjacent towers;

[0150] An overhaul warning module, configured to give an overhaul warning for the transmission line between adjacent towers according to the working stability evaluation result of the transmission line between adjacent towers;

[0151] A control module, configured to control the operation of the data acquisition module, the transmission line fixed state analysis module, the line response efficiency analysis module, the transmission line working stability evaluation module, and the overhaul warning module.

[0152] For the parameters and the steps for each unit module in the above-mentioned transmission line parameter monitoring and warning system based on industrial big data of the present invention to achieve the corresponding functions, reference can be made to the parameters and steps in the embodiments of the transmission line parameter monitoring and warning method based on industrial big data in the above text, and details will not be described here.

[0153] Each embodiment in the present invention is described in a progressive manner. For the same or similar parts between each embodiment, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0154] The systems and media provided in the embodiments of the present invention correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be described here again.

[0155] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0156] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows 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 the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0157] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0158] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0159] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0160] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0161] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0162] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. A method for monitoring and warning transmission line parameters based on industrial big data, characterized in that Including the following steps: S1. Obtain the tower position data and line connection data on the transmission line, and at the same time obtain the environmental detection data and transmission line parameter data; S2. Import the environmental detection data, tower position data and line connection data into the line fixed state analysis model to analyze the fixed state of the transmission line between adjacent towers; S3. Import the transmission line parameter data into the line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent towers; S4. Based on the analysis results of the fixed state of the transmission line between adjacent towers and the analysis results of the line response efficiency, construct a transmission line working stability evaluation model to evaluate the working stability of the transmission line between adjacent towers; S5. According to the evaluation results of the working stability of the transmission line between adjacent towers, give a maintenance warning for the transmission line between adjacent towers.

2. The method for monitoring and warning of transmission line parameters based on industrial big data according to claim 1, wherein The analysis of the fixed state of the transmission line between adjacent towers in step S2 includes the following specific steps: S21. Extract the tower position data and line connection data on the transmission line, and at the same time extract the environmental detection data; S22. Based on the tower position data, line connection data and environmental detection data, construct a line fixed state analysis model to analyze the fixed state of the transmission line between adjacent towers, and obtain the analysis results of the fixed state of the transmission line between adjacent towers. Among them, the calculation formula for the fixed state of the transmission line is: In the formula, Sgd is the fixed state of the transmission line between adjacent towers, Asl is the line direction force polarization state, and Atw is the tower base stability state.

3. The method for monitoring and warning of transmission line parameters based on industrial big data according to claim 2, characterized in that The construction process of the line fixed state analysis model in step S22 includes the following specific steps: S221. Based on the tower position data, line connection data and environmental detection data, analyze the line direction force polarization state to obtain the analysis results of the line direction force polarization state; Among them, the calculation formula for the line direction force polarization state is: Wherein, Fhz is the dynamic wind load factor between adjacent iron towers, Fxg is the line direction height coupling index between adjacent iron towers, and Asl max is the maximum value in the historical line direction force polarization state between adjacent iron towers in the transmission line network. S222. Based on the tower position data, line connection data and environmental detection data, analyze the tower base stability state to obtain the analysis results of the tower base stability state; Among them, the calculation formula for the tower base stability state is: In the formula, Cmax is the maximum settlement threshold of the tower foundation, n is the number of tower legs in the tower position data, ty is the operation time of the tower in the tower position data, Qi is the load of the i-th tower leg of the tower in the tower position data, Ai is the foundation bottom area of the i-th tower leg of the tower in the tower position data, Ewi is the foundation elastic modulus of the i-th tower leg of the tower in the environmental detection data, and Dz is the foundation soil quality correction index.

4. The power transmission line parameter monitoring and early warning method based on industrial big data according to claim 3, characterized in that, The analysis of the line direction force polarization state in step S221 specifically includes: S2211. Based on the tower position data, line connection data and environmental detection data, analyze the dynamic wind load factor between adjacent towers to obtain the analysis results of the dynamic wind load factor between adjacent towers; S2212. Analyze the line direction height coupling index between adjacent transmission towers based on the transmission tower location data, line connection data, and environmental detection data to obtain the analysis result of the line direction height coupling index between adjacent transmission towers; S2213. Analyze the force polarization state in the line direction based on the analysis result of the dynamic wind load factor between adjacent transmission towers and the analysis result of the line direction height coupling index to obtain the analysis result of the force polarization state in the line direction.

5. The transmission line parameter monitoring and warning method based on industrial big data according to claim 4, wherein, In step S222, the analysis of the tower foundation stability state specifically includes: S2221. Analyze the foundation soil quality correction index based on the transmission tower location data to obtain the analysis result of the foundation soil quality correction index; S2222. Analyze the tower foundation stability state based on the transmission tower location data, line connection data, environmental detection data, and foundation soil quality correction index to obtain the analysis result of the tower foundation stability state.

6. The method for monitoring and warning of transmission line parameters based on industrial big data according to claim 5, characterized in that, In step S3, the analysis of the line response efficiency of the transmission line between adjacent transmission towers includes the following specific steps: S31. Extract the transmission line parameter data; S32. Based on the transmission line parameter data, construct a line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent transmission towers and obtain the analysis result of the line response efficiency of the transmission line between adjacent transmission towers; Among them, the calculation formula for the line response efficiency is: In the formula, Sx is the line response efficiency of the transmission line between adjacent transmission towers, Ra is the real-time resistance value of the transmission line between adjacent transmission towers, Ia is the real-time current value of the transmission line between adjacent transmission towers, Hs is the historical loss cumulative effect index, and Pnom is the rated power.

7. The method for monitoring and warning of transmission line parameters based on industrial big data according to claim 6, characterized in that The construction process of the line fixed state analysis model in step S32 includes the following specific steps: S321. Analyze the historical loss cumulative effect index based on the transmission line parameter data to obtain the analysis result of the historical loss cumulative effect index; S322. Analyze the line response efficiency of the transmission line between adjacent transmission towers based on the transmission line parameter data and the historical loss cumulative effect index to obtain the analysis result of the line response efficiency of the transmission line between adjacent transmission towers.

8. The power transmission line parameter monitoring and early warning method based on industrial big data according to claim 7, characterized in that In step S4, constructing a transmission line working stability evaluation model includes the following specific steps: S41. Extract the analysis results of the line fixed state and line response efficiency of the transmission line between adjacent transmission towers obtained through analysis; S43. Evaluate the working stability of the transmission line between adjacent transmission towers based on the analysis results of the line fixed state and line response efficiency of the transmission line between adjacent transmission towers to obtain the evaluation result of the working stability of the transmission line between adjacent transmission towers; Among them, the evaluation formula for the working stability of the transmission line is: W = δ·Sgd + (1 - δ)Sx; In the formula, W is the working stability of the transmission line between adjacent transmission towers, δ is the influence factor of the line fixed state, where 0 < δ < 1.

9. The method for monitoring and warning transmission line parameters based on industrial big data according to claim 8, wherein In step S5, according to the evaluation result of the working stability of the transmission line between adjacent transmission towers, carry out maintenance warning for the transmission line between adjacent transmission towers, including the following specific steps: S51. Obtain the evaluation result of the working stability of the transmission line between adjacent iron towers; S52. Preset a line working stability threshold. When the evaluation result of the working stability of the transmission line between adjacent iron towers is less than the line working stability threshold, give a maintenance warning for the transmission line between adjacent iron towers.

10. A transmission line parameter monitoring and early warning system based on industrial big data, which is implemented based on the transmission line parameter monitoring and early warning method based on industrial big data according to any one of claims 1-9, characterized in that, The system includes: A data acquisition module, configured to acquire the iron tower position data and line connection data on the transmission line, and at the same time acquire the environmental detection data and transmission line parameter data; A transmission line fixed state analysis module, configured to import the environmental detection data, iron tower position data and line connection data into a line fixed state analysis model to analyze the fixed state of the transmission line between adjacent iron towers; A line response efficiency analysis module, configured to import the transmission line parameter data into a line response efficiency analysis model to analyze the line response efficiency of the transmission line between adjacent iron towers; A transmission line working stability evaluation module, configured to construct a transmission line working stability evaluation model based on the analysis results of the fixed state and line response efficiency of the transmission line between adjacent iron towers, and evaluate the working stability of the transmission line between adjacent iron towers; A maintenance warning module, configured to give a maintenance warning for the transmission line between adjacent iron towers according to the evaluation result of the working stability of the transmission line between adjacent iron towers; A control module, configured to control the operation of the data acquisition module, the transmission line fixed state analysis module, the line response efficiency analysis module, the transmission line working stability evaluation module and the maintenance warning module.

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