Data processing method based on large model

Abstract

The invention relates to the technical field of data processing, in particular to a data processing method based on a large model, which monitors whether a transmission cable and a corresponding transmission node are safe or not by setting a damage contrast library and inputting an acquired image into the large model, and verifies the corresponding safety according to the transmission result. According to the method, the safety of the transmission cable is effectively improved, the real-time performance of detection is enhanced, the problem that the influence of weather factors on the transmission cable cannot be accurately predicted through simple parameter translation is solved, a large model can be effectively trained, and then the safety of the transmission cable is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a data processing method based on a large model. Background Art

[0002] In terms of data processing, massive data is usually used for denoising and cleaning to ensure the quality and availability of the data. For example, outliers are detected and removed through statistical methods or machine learning algorithms, missing values ​​are filled using interpolation methods, mean filling, etc., and data is smoothed through moving average, exponential smoothing, etc. to reduce noise interference.

[0003] In addition, multimodal fusion technology will be used to jointly encode data of different modalities such as images and text to better mine the information in the data. For example, FullAnno obtains comprehensive annotations of images through instructions LLM, including object categories, locations, region descriptions, and text information in the image.

[0004] Using large models to process real-time data can provide good guarantees for equipment safety and data security.

[0005] Chinese patent application publication number: CN104463716A discloses a method and system for early warning of power grid dispatching operation risks based on weather factors. The invention discloses a method and system for early warning of power grid dispatching operation risks based on weather factors, the method comprising: obtaining weather status information including multiple meteorological index data at the location of the power grid dispatching operation equipment; subtracting each meteorological index data from its corresponding preset threshold, and comparing the difference with the preset threshold to obtain the meteorological index value corresponding to the meteorological index data; shifting each meteorological index value according to the same shift amplitude until each meteorological index value after the shift is a positive number, and determining the meteorological index shift value corresponding to each meteorological index value; calculating the corresponding meteorological entropy value according to the meteorological index shift value, and correcting each meteorological entropy value to obtain the risk impact value of the power grid dispatching operation based on the current weather factor as the influencing factor; and early warning the power grid dispatching operation under the current weather factor according to the risk impact value. The invention improves the accuracy of obtaining the risk impact value and avoids false alarms during early warning.

[0006] However, the above method has the following problems: subtracting the meteorological index data from the corresponding preset threshold and simply comparing the difference with the threshold fails to accurately reflect different weather factors, and simple parameter translation fails to accurately predict the impact of weather factors on transmission cables. Summary of the invention

[0007] To this end, the present invention provides a data processing method based on a large model, which introduces a large model to overcome the problem in the prior art that the difference between meteorological index data and the corresponding preset threshold and a simple comparison of the difference with the threshold fails to accurately reflect different weather factors, and the impact of weather factors on transmission cables cannot be accurately predicted through simple parameter translation.

[0008] To achieve the above object, the present invention provides a data processing method based on a large model, which is used to determine the data transmission security of a transmission cable according to the large model, comprising: Recording the vibration times of a plurality of transmission cables and generating a corresponding damage comparison library according to the historical data of the vibration times; Setting a number of corresponding transmission paths and a number of transmission nodes according to the transmission cables; Collecting real-time physical data and real-time transmission data of the transmission path, real-time physical data of the transmission nodes, and environmental data of the area where the transmission path is located; Determine the aging rate of the transmission path according to the real-time physical data of the transmission path, determine the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generate vibration data according to the vibration number and the environmental data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the environmental data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; pairing the predicted short circuit rate and the predicted fracture rate with the damaged control library, If the pairing is successful, the corresponding physical transmission damage rate is formed; If pairing fails, verifying the real-time transmission data, and, In response to successful verification, the predicted short circuit rate and the predicted fracture rate are recorded as normal states and stored in the damage reference library; In response to a check failure, the predicted short circuit rate and the predicted break rate are recorded as abnormal states, a corresponding physical transmission damage rate is generated, and stored in the damage comparison library.

[0009] Furthermore, the process of monitoring the safety of the transmission cable includes: Recording the number of vibrations of the transmission cable; Before and after the strong wind passes through the area where the transmission cables are located, cruise and shoot each of the transmission cables and the overhead transmission nodes to generate cable images and transmission node images, which are used as real-time physical data of the cable images or real-time physical data of the transmission nodes respectively; Collecting wind speed data, temperature data and humidity data of the area where each transmission cable is located as the environmental data; determining an aging rate of the transmission cable according to the cable image, determining an offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, determining vibration data of the transmission cable according to the wind speed data and the vibration times, the vibration data including slight vibration and strong vibration, and determining meteorological data of the transmission cable according to the temperature data and the humidity data, the meteorological data including exposure data, rainfall data, icing data and low temperature data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the meteorological data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; issuing a short circuit alarm according to the predicted short circuit rate, and issuing a fracture alarm according to the predicted fracture rate; The strong wind refers to flowing air whose wind speed data is greater than or equal to a preset wind speed.

[0010] Further, the process of determining the vibration data of the transmission cable according to the wind speed data and the vibration number includes: When the wind speed data is greater than or equal to the preset wind speed data, if the vibration number is greater than or equal to the preset vibration number, it is determined that the vibration data of the transmission cable is the strong vibration. If the vibration number is less than the preset vibration number, determining that the vibration data of the transmission cable is the slight vibration; The preset wind speed is positively correlated with the mass of the transmission cable, and the preset vibration number is negatively correlated with the mass of the transmission cable.

[0011] Further, when determining the water vapor content in the air according to the humidity data, If the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high. If the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low; The preset humidity is negatively correlated with the air pressure.

[0012] Further, when it is determined that the water vapor content in the air is high, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the first preset temperature, the meteorological data is determined to be the rainfall data, If the temperature data is lower than the first preset temperature, the meteorological data is determined to be the freezing data. The first preset temperature is negatively correlated with the atmospheric pressure.

[0013] Further, when it is determined that the water vapor content in the air is low, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the second preset temperature, the meteorological data is determined to be the exposure data. If the temperature data is lower than the second preset temperature, determining that the meteorological data is the low temperature data; The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

[0014] Further, the process of determining the aging rate of the transmission cable according to the cable image includes: detecting the width and length of the crack in the insulation layer of the transmission cable in the cable image, The aging rate of the transmission cable is calculated in combination with the diameter and length of the transmission cable.

[0015] Further, the process of determining the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image includes: The position where the bottom of the overhead transmission node contacts the ground is selected as the coordinate origin to establish a rectangular coordinate system. The offset is calculated based on the pixel coordinates of the top of the overhead transmission node in the transmission node images before and after the strong wind passes.

[0016] Further, the process of determining the fracture rate and the aging rate includes: The vibration data is converted into vibration parameters, and the meteorological data is converted into meteorological parameters. The actual short circuit rate is calculated by combining the vibration parameter with the aging rate; The fracture rate is calculated by combining the vibration parameter with the offset of the overhead transmission node before and after the strong wind passes; determining the predicted aging rate of the transmission cable according to the vibration data and the meteorological data in combination with the diameter and length of the transmission cable; The predicted deflection of the transmission cable is determined based on the vibration data and the meteorological data in combination with the deflection of the overhead transmission node.

[0017] Furthermore, the process of predicting the fracture rate includes: Coupling the actual short-circuit rate and the predicted aging rate to generate the predicted short-circuit rate; The fracture rate and the predicted offset are coupled to generate the predicted fracture rate.

[0018] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting up a damage control library and inputting the collected images into a large model, the safety of the transmission cables and the corresponding transmission nodes is monitored, and the corresponding safety is verified according to the transmission results. While effectively improving the safety of the transmission cables, the real-time performance of the detection is enhanced, and the problem of failing to accurately predict the impact of weather factors on the transmission cables through simple parameter shifting is overcome. The large model can be effectively trained, thereby effectively improving the safety of the transmission cables. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of the data processing method based on the large model of the present invention; Figure 2 A schematic diagram of the structure of a data processing system according to an embodiment of the present invention; Figure 3 This is a flow chart for determining the vibration state of a transmission cable according to an embodiment of the present invention; Figure 4 A flow chart for determining the water vapor content in the air according to an embodiment of the present invention; Figure 5 This is a flow chart for determining the meteorological status of a transmission cable according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] See also Figure 1 As shown, it is a flow chart of the data processing method based on the large model of the present invention, including: Step S1, recording the vibration times of a number of transmission cables and generating a corresponding damage reference library according to the historical data of the vibration times; Step S2, setting a corresponding number of transmission paths and a number of transmission nodes according to the transmission cables; Step S3, collecting real-time physical data and real-time transmission data of the transmission path, real-time physical data of the transmission node, and environmental data of the area where the transmission path is located; Step S4, determining the aging rate of the transmission path according to the real-time physical data of the transmission path, determining the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generating vibration data according to the vibration times and environmental data; Step S5, determining the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determining the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determining the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the environmental data respectively; Step S6, generating a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generating a predicted fracture rate according to the fracture rate and the predicted offset; Step S7, pairing the predicted short circuit rate and the predicted break rate with the damage control library, If the pairing is successful, the corresponding physical transmission damage rate is formed; If pairing fails, verify real-time transmission data, and, If the response verification is successful, the predicted short circuit rate and predicted fracture rate are recorded as normal and stored in the damage control library; In response to verification failure, the predicted short circuit rate and predicted break rate are recorded as abnormal states, and the corresponding physical transmission damage rate is generated and stored in the damage comparison library.

[0025] By setting up a damage control library and inputting the collected images into a large model, the safety of transmission cables and corresponding transmission nodes is monitored, and the corresponding safety is verified based on the transmission results. This effectively improves the safety of transmission cables and enhances the real-time performance of detection. It overcomes the problem of failing to accurately predict the impact of weather factors on transmission cables through simple parameter shifting, and can effectively train large models, thereby effectively improving the safety of transmission cables.

[0026] See also Figure 2 As shown, it is a schematic diagram of the structure of a data processing system according to an embodiment of the present invention, including: A plurality of vibration sensors are arranged on each transmission cable to record the vibration times of the corresponding transmission cable; A number of drones are used to cruise and photograph each transmission cable and overhead transmission node before and after strong winds pass through the area where each transmission cable is located to generate cable images and transmission node images; A meteorological unit, which is used to collect wind speed data, temperature data and humidity data in the area where each transmission cable is located; An analysis unit, which is respectively connected to the vibration sensor, the drone and the meteorological unit, and is used to determine the insulation aging rate of the transmission cable according to the cable image, determine the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, determine the vibration state of the transmission cable according to the wind speed data and the number of vibrations, and the vibration state includes slight vibration and strong vibration, and determine the meteorological state of the transmission cable according to the temperature data and the humidity data, and the meteorological state includes the sun exposure state, the rain state, the ice state and the low temperature state; a simulation unit connected to the analysis unit, for determining an actual short circuit rate of the transmission cable according to the vibration state and the insulation aging rate, determining an actual breakage rate of the transmission cable according to the vibration state and the offset of the overhead transmission node before and after the strong wind passes, and determining a predicted insulation aging rate of the transmission cable and a predicted offset of the overhead transmission node according to the vibration state and the meteorological state, respectively; A prediction unit, which is connected to the simulation unit, and is used to generate a predicted short circuit rate according to the actual short circuit rate and the predicted insulation aging rate, and to generate a predicted fracture rate according to the actual fracture rate and the predicted offset; An alarm unit connected to the prediction unit, configured to issue a short circuit alarm according to the predicted short circuit rate, and issue a fracture alarm according to the predicted fracture rate; Among them, strong wind refers to flowing air with wind speed data greater than or equal to a preset wind speed.

[0027] It is understandable that the vibration sensor is set on each transmission cable to record the vibration times of the corresponding transmission cable. For the transmission cables, first of all, it is necessary to ensure that the installation surface is clean and dry. Cleaning tools can be used to wipe the installation site to remove dust, oil and other impurities to ensure good contact between the sensor and the cable surface and improve the accuracy of the measurement. If the clamp installation method is adopted, a special clamp that matches the outer diameter of the cable should be designed and selected, and the sensor should be tightly fixed to the cable through the clamp. Note that the tightening force of the clamp should be moderate, so as to prevent the sensor from loosening and affecting the measurement, and not to damage the cable due to excessive tightening.

[0028] It is understandable that drones shoot transmission cables and overhead transmission nodes before and after strong winds pass. Drones are usually equipped with high-precision positioning modules such as the Global Positioning System (GPS) and the Beidou Navigation System. Before taking off, the coordinate range and flight path of the overhead lines that need to be inspected can be set, so that the drone can accurately fly over the target transmission cables and overhead transmission nodes. Even in a strong wind environment, it can rely on its positioning system to continuously correct the flight position deviation to ensure that it flies according to the predetermined route, thereby covering the entire range of the line to be photographed and not missing any key parts. At the same time, drones are also equipped with auxiliary navigation equipment such as inertial navigation systems (INS). When the GPS signal is blocked or interfered with (for example, near complex terrain such as tall buildings or valleys), the inertial navigation system can calculate the attitude and position changes of the drone based on the data obtained by its own sensors such as accelerometers and gyroscopes, and cooperate with the positioning system to ensure the stability and accuracy of the flight, providing a stable flight platform for shooting.

[0029] The alarm unit issues a short circuit alarm when the predicted short circuit rate is greater than a preset short circuit safety rate, and issues a fracture alarm when the predicted fracture rate is greater than a preset fracture safety rate.

[0030] It can be understood that the preset short-circuit safety rate is a probability value that the transmission cable does not short-circuit, and the preset break safety rate is a probability value that the transmission cable does not break.

[0031] It can be understood that the preset short-circuit safety rate and the preset fracture safety rate are negatively correlated with the number of vibrations of the transmission cable. As the number of vibrations of the transmission cable increases, the possibility of short circuit and fracture of the transmission cable increases, and the preset short-circuit safety rate and the preset fracture safety rate decrease.

[0032] Specifically, the system of the present invention monitors the vibration of transmission cables by setting up a number of vibration sensors and uses drones to collect images of transmission cables and overhead transmission nodes. Vibration sensors at different positions can accurately determine the specific sections where abnormal vibration occurs. Compared with the traditional reliance on manual inspections to troubleshoot a large range of transmission cable lines, this precise positioning can greatly narrow the scope of fault investigation and reduce the time and energy spent by maintenance personnel to find fault points. It can collect vibration data of cables under different working conditions (such as different meteorological conditions, different loads, etc.) for a long time. By analyzing these data, it is helpful to deeply understand the actual operating status of the cables, provide a scientific basis for the reasonable arrangement of maintenance plans, optimize the service life assessment of cables, etc., and better carry out asset management and operation and maintenance decisions. Drones can fly quickly along the lines of transmission cables and overhead transmission nodes. It covers a larger inspection range in a short time. Compared with manual inspections along the line on foot or checking the transmission nodes one by one with the help of tools such as aerial platforms, it is much more efficient. It can quickly obtain intuitive image information of the entire overhead line, and promptly discover visible problems such as transmission node tilt, cable surface damage, foreign objects hanging, insulator aging, etc., to avoid hidden dangers that are not discovered due to omissions of some areas during manual inspections. Vibration monitoring is from the perspective of the internal operating status of the cable, and image acquisition is from the perspective of external appearance. The combination of the two can achieve a comprehensive and multi-dimensional health assessment of the transmission cables and transmission nodes, so that the operation and maintenance personnel have a more comprehensive and accurate understanding of the overall condition of the line, avoiding the one-sidedness that may exist in a single monitoring method, and is more conducive to the precise implementation of preventive maintenance work, effectively improving the accuracy and practicality of the data processing method based on large models.

[0033] See also Figure 3 As shown, it is a flow chart for determining the vibration state of the transmission cable according to an embodiment of the present invention. The analysis unit determines the vibration state of the transmission cable according to the wind speed data and the number of vibrations, wherein: When the wind speed data is greater than or equal to the preset wind speed, if the number of vibrations is greater than or equal to the preset number of vibrations, the vibration state of the transmission cable is determined to be a strong vibration. If the vibration number is less than the preset vibration number, the vibration state of the transmission cable is determined to be slight vibration; In the implementation, the preset wind speed is 6 meters per second, the preset vibration frequency is 5 times per second, and when the wind speed data is 8 meters per second, if the vibration frequency is 8 times per second and is greater than the preset vibration frequency, then the vibration state of the transmission cable is determined to be strong vibration. If the vibration frequency is 3 times per second, which is less than the preset vibration frequency, the vibration state of the transmission cable is determined to be slight vibration.

[0034] The preset wind speed is positively correlated with the mass of the transmission cable, and the preset vibration number is negatively correlated with the mass of the transmission cable.

[0035] It is understandable that when the wind speed is low, the lateral force generated by the wind is not enough to overcome the gravity of the cable and the balancing force formed by the lateral component of the tension at the suspension point, and the cable remains stationary; as the wind speed increases, the lateral force of the wind continues to increase. When this force reaches a certain level and can break the original force balance, the cable will begin to displace, that is, be blown. The greater the mass of the cable, the greater its gravity. To break this balance and make the cable swing or displace significantly, the wind needs to provide a greater lateral force, which means a higher wind speed is required. For example, a lightweight low-voltage transmission cable, due to its relatively small mass, may begin to swing slightly when the wind speed reaches about 5-6 meters per second; for high-voltage transmission cables with larger mass and more complex structure, they may not be blown until the wind speed reaches 8-10 meters per second or even higher, because its gravity and the balance maintained by the suspension system are more difficult to be broken by the force of the wind, so the preset wind speed is positively correlated with the mass of the transmission cable.

[0036] It can be understood that, under the same wind speed, the greater the mass of the transmission cable, the smaller the vibration frequency, so the preset vibration frequency is negatively correlated with the mass of the transmission cable.

[0037] See also Figure 4 As shown, it is a flow chart of determining the water vapor content in the air according to an embodiment of the present invention. The analysis unit determines the water vapor content in the air according to the humidity data, wherein: If the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high. If the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low; In the implementation, the preset humidity is 70%. If the humidity data is 80% which is greater than the preset humidity, it is determined that the water vapor content in the air is high. If the humidity data is 50% which is less than the preset humidity, it is determined that the water vapor content in the air is low.

[0038] The preset humidity is negatively correlated with the air pressure.

[0039] It is understandable that under certain temperature conditions, in low-pressure areas, the air rises and water vapor easily condenses to form weather phenomena such as clouds and rain, which are often accompanied by higher humidity; while in high-pressure areas, the air sinks, the weather is clear, and the humidity is relatively low, so the preset humidity is negatively correlated with the air pressure.

[0040] See also Figure 5 As shown, it is a flow chart for determining the meteorological state of a transmission cable according to an embodiment of the present invention. When determining that the water vapor content in the air is high, the analysis unit determines the meteorological state of the transmission cable according to the temperature data, wherein: If the temperature data is greater than or equal to the first preset temperature, the meteorological state is determined to be a rainy state. If the temperature data is lower than the first preset temperature, the weather condition is determined to be an icing condition. In implementation, the first preset temperature is 0 degrees Celsius. If the temperature data is 8 degrees Celsius, which is greater than the first preset temperature, the meteorological state is determined to be a rainy state. If the temperature data is -4 degrees Celsius, which is less than the first preset temperature, the meteorological state is determined to be an icing state.

[0041] The first preset temperature is negatively correlated with the atmospheric pressure.

[0042] It is understandable that as the atmospheric pressure increases, the freezing temperature of water will decrease; conversely, as the atmospheric pressure decreases, the freezing temperature of water will increase, so the first preset temperature is negatively correlated with the atmospheric pressure.

[0043] Specifically, the analysis unit determines the meteorological state of the transmission cable according to the temperature data when determining that the water vapor content in the air is low, wherein: If the temperature data is greater than or equal to the second preset temperature, the weather condition is determined to be an overexposure condition. If the temperature data is lower than the second preset temperature, the meteorological state is determined to be a low temperature state; In implementation, the second preset temperature is 30 degrees Celsius. If the temperature data is 38 degrees Celsius, which is greater than the second preset temperature, it is determined that the weather state is an overexposure state. If the temperature data is 25 degrees Celsius, which is less than the second preset temperature, the weather state is determined to be a low temperature state. The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

[0044] It is understandable that solar radiation is the main source of heat for the earth's surface. When the sunshine duration increases, the time that the ground and the near-ground atmosphere absorb solar radiation also increases accordingly. The absorbed heat continues to accumulate, causing the temperature to rise. Therefore, the second preset temperature is positively correlated with the sunshine duration.

[0045] Specifically, the analysis unit determines the insulation aging rate of the transmission cable according to the cable image, wherein: Detect the width and length of the insulation cracks in the transmission cable in the cable image. The insulation aging rate of the transmission cable is calculated based on the diameter and length of the transmission cable.

[0046] In implementation, image detection methods, such as those based on traditional image processing or deep learning, are used to accurately measure the width W (mm) and length L (mm) of the cracks in the insulation layer of the transmission cable in the cable image. During the measurement process, it is necessary to ensure the clarity of the image, the accuracy of the measurement method, and the average value of multiple measurements to reduce errors and obtain more reliable crack size data. For some longer cracks, if the image cannot fully display the entire picture, the length of the entire cracked part can be calculated as accurately as possible by splicing multiple continuously taken images or calculating according to a certain proportional relationship; Obtain the diameter D (mm) of the transmission cable according to the cable design specification data, and consult the engineering data of cable laying to obtain the total length S (mm) of the transmission cable section; Assuming that the shape of the crack in the insulation layer is approximately a rectangle, for irregular shapes, it can be divided into multiple regular shapes or estimated equivalently by image pixel statistics. According to the rectangular area formula, the crack area (square millimeters) is calculated as: , where W is the width of the crack in the insulation layer of the transmission cable (mm), and L is the length of the crack in the insulation layer of the transmission cable (mm); if there are multiple cracks, it is necessary to measure the width and length of each crack separately, and add up their respective crack areas to obtain the total crack area of ​​the insulation layer; For a single cylindrical transmission cable, its surface area (square millimeters), ignoring the area at both ends of the cable, only considering the cylindrical side area wrapped with the insulation layer, the calculation formula is: , Take 3.14, is the cable diameter (mm), is the cable length (mm); The insulation aging rate P is defined as the ratio of the cracked area of ​​the insulation layer to the outer surface area of ​​the transmission cable. The calculation formula is as follows: ;For example, 5000 square millimeters, If the insulation area is 500,000 square millimeters, the insulation aging rate P is 1%.

[0047] Specifically, the analysis unit determines the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, wherein: The position where the bottom of the overhead transmission node touches the ground is selected as the coordinate origin to establish a rectangular coordinate system. The offset is calculated based on the pixel coordinates of the top of the overhead transmission node in the transmission node images before and after the strong wind passes.

[0048] In the implementation, the coordinate difference of the feature point (such as the top of the transmission node) before and after the strong wind relative to the reference point (such as the contact point between the bottom of the transmission node and the ground) in the horizontal direction (x-axis direction) is obtained respectively. Assume that the x-coordinate of the feature point before the strong wind is , after strong wind , then the horizontal offset The calculation formula is ;in, is the horizontal offset (mm); similarly, obtain the coordinate difference of the feature point before and after the strong wind relative to the reference point in the vertical direction (y-axis direction), and set the y coordinate of the feature point before the strong wind to be , after strong wind , vertical offset The calculation formula is ;in, is the horizontal offset (mm); Total offset for ;in, is the total offset (mm).

[0049] Specifically, the present invention analyzes the aging rate of the cable insulation layer and the offset of the transmission node through the images of the captured cables and transmission nodes, and determines the vibration of the cable in combination with the wind speed and the vibration of the cable itself, so as to accurately understand the aging rate of the cable insulation layer, and enable operation and maintenance personnel to formulate accurate maintenance and replacement plans based on its specific values. For cable segments with a less severe degree of aging, regular key monitoring and appropriate maintenance measures can be arranged to delay the aging process; and for parts that are severely aged and close to the life limit, the replacement time and required resources can be planned in advance to avoid short circuits, leakages and other faults caused by insulation failure, thereby ensuring the safe and stable operation of transmission cables. Since insulation layer aging is one of the important factors leading to cable failures, understanding the aging rate in advance and taking corresponding measures can effectively reduce the risk of power outages caused by insulation problems and ensure a continuous and stable supply of electricity, especially for some places with high requirements for power supply reliability, such as hospitals, data centers, and transportation hubs. The offset of the transmission node reflects the stability of its foundation and the stress condition of the overall structure of the line. The offset of the transmission node can be known in a timely and accurate manner. If the offset exceeds the safe range, measures such as straightening and strengthening the foundation can be taken quickly to avoid further tilting or even toppling of the transmission node, and to prevent the resulting cable pulling, breakage and other related problems, ensuring that the overhead line structure is always in a safe and stable state, and ensuring the continuity of power transmission. Considering the external environmental factor of wind speed and the vibration of the cable itself, a more comprehensive and in-depth understanding of the dynamic operation state of the cable under actual working conditions can be obtained. Different wind speed conditions will exert different external forces on the cable, thereby affecting its vibration characteristics. By analyzing the relationship between the three, the reasonable range of cable vibration during normal operation can be clarified, which is convenient for timely detection of abnormal vibration modes and early warning of possible fault hazards, such as cable damage caused by wind vibration fatigue, further improving the accuracy and practicality of the data processing method based on large models.

[0050] Specifically, the simulation unit corresponds the vibration state to the vibration parameter and the meteorological state to the meteorological parameter. The actual short circuit rate is calculated by combining the vibration parameters with the insulation aging rate; The actual fracture rate is calculated by combining the vibration parameters with the displacement of the overhead transmission nodes before and after the strong wind passes.

[0051] In the implementation, the height of the overhead transmission node is 5 meters. The vibration state includes slight vibration and strong vibration, which correspond to vibration parameters of 0.8 and 1.2 respectively. The meteorological state includes exposure state, rainfall state, icing state and low temperature state, which correspond to meteorological parameters of 1.4, 1.2, 1.5 and 0.6 respectively. Under the strong vibration state, if the insulation aging rate is 11%, the displacement before and after the strong wind is 5 mm, and the actual short circuit rate is 1.2 0.11=0.132; the actual offset is 1.2 5=6 mm, the actual fracture rate is 6÷5000=0.12%.

[0052] Specifically, the present invention analyzes the short-circuit rate of the cable by combining the vibration state and insulation aging rate of the cable. When the cable vibration is abnormal and the insulation aging rate is high, it means that the internal structure of the cable may have been damaged, the insulation performance has declined, and the possibility of a short circuit has increased. In this way, an early warning signal can be issued in advance, allowing operation and maintenance personnel to have time to take preventive measures, such as strengthening monitoring, arranging local repairs or planning replacements in advance, thereby avoiding the sudden occurrence of short-circuit accidents, ensuring the stable power supply of the power system, and reducing the huge impact of sudden short circuits on industrial production, residents' lives, etc. From a long-term perspective, understanding the short-circuit rates of cables of different types in different regions will help transmission cable planning departments to more scientifically select cable models, determine reasonable layouts and protective measures when upgrading, renovating, and laying new lines, etc., thereby reducing the probability of short-circuit failures in the entire transmission cable system in the future and improving safety. The overall safety and risk resistance of high-speed transmission cables are improved to ensure that the transmission cables can adapt to the ever-changing electricity demand. According to the vibration state and the offset of the overhead transmission nodes before and after strong winds, in a strong wind environment, the offset of the overhead transmission nodes can intuitively reflect its structural stability and the support condition of the cables. Combined with the vibration state of the cables themselves, the impact of strong winds on the entire overhead line can be comprehensively evaluated. If the offset of the transmission node is too large and the cable vibration is abnormal, it may mean that the line structure faces greater risks, such as loose foundation of the transmission node and uneven force on the cable connection parts. By timely monitoring and analyzing these data, corresponding reinforcement and adjustment measures can be taken quickly to ensure that the line structure is still safe under severe weather conditions, avoid serious accidents such as collapse of transmission nodes and breakage of cables, maintain the continuity of power transmission, and further improve the accuracy and practicality of the data processing method based on large models.

[0053] Specifically, the simulation unit determines the predicted insulation aging rate of the transmission cable based on the vibration state and meteorological state in combination with the diameter and length of the transmission cable; The predicted offset of the transmission cable is determined based on the vibration state and meteorological state combined with the offset of the overhead transmission node.

[0054] In practice, combined with historical data, the insulation aging rate of a transmission cable with a diameter of 10 mm and a length of 10 m after a single icing state is 2%. The vibration state includes slight vibration and strong vibration, which correspond to vibration parameters of 0.8 and 1.2 respectively. The meteorological state includes exposure state, rainfall state, icing state and low temperature state, which correspond to meteorological parameters of 1.4, 1.2, 1.5 and 0.6 respectively. Under strong vibration and icing conditions, the predicted insulation aging rate is 1.2 1.5 0.02=0.036.

[0055] In the implementation, the height of the overhead transmission node is 5 meters. Combined with historical data, the offset of the overhead transmission node after a single icing state is 3 mm. The vibration state includes slight vibration and strong vibration, which correspond to vibration parameters of 0.8 and 1.2 respectively. The meteorological state includes exposure state, rainfall state, icing state and low temperature state, which correspond to meteorological parameters of 1.4, 1.2, 1.5 and 0.6 respectively. In the case of strong vibration and icing, the predicted offset is 1.2 1.5 3=5.4 mm.

[0056] Specifically, the prediction unit couples the actual short-circuit rate and the predicted insulation aging rate to generate the predicted short-circuit rate; The actual fracture rate and the predicted offset are coupled to generate the predicted fracture rate.

[0057] In implementation, if the actual short-circuit rate is 0.132 and the predicted insulation aging rate is 0.036, the actual short-circuit rate and the predicted insulation aging rate are assigned parameters 0.8 and 0.2 respectively to couple and generate a predicted short-circuit rate of 0.132x0.8+0.2x0.036=0.1128; If the predicted offset is 5.4 mm, the height of the overhead transmission node is 5 meters, and the actual fracture rate is 0.12%, the actual fracture rate and the predicted offset are assigned parameters of 0.8 and 0.2 respectively to couple and generate a predicted fracture rate of 0.8x0.0012+0.2x(5.4÷5000)=0.001176.

[0058] During implementation, the alarm unit issues a short-circuit alarm when the predicted short-circuit rate is greater than the preset short-circuit safety rate, and issues a fracture alarm when the predicted fracture rate is greater than the preset fracture safety rate. The preset short-circuit safety rate is 0.5, the preset fracture safety rate is 0.006, and the calculated predicted short-circuit rate is 0.1128, which is less than the preset short-circuit safety rate, and no alarm is issued; the calculated predicted fracture rate is 0.001176, which is less than the preset fracture safety rate, and no alarm is issued.

[0059] Specifically, the present invention combines the actual cable vibration conditions and meteorological data to predict the short circuit or breakage of the cable under different subsequent meteorological conditions and issue an early warning. Through accurate prediction, it can be known in advance that the cable is at risk of short circuit or breakage under specific meteorological conditions. For example, before the arrival of severe weather such as strong winds, heavy rains, ice and snow, operation and maintenance personnel can take corresponding preventive measures in advance based on the early warning information, such as reinforcing the cables, adjusting the tension, checking the connection parts, etc., or arranging emergency repair teams on standby in advance, thereby effectively avoiding actual short circuit or breakage of the cables, ensuring a continuous and stable supply of electricity, and minimizing the adverse effects of power outages on industrial production, residents' lives and various social activities. Based on the predicted risk conditions under different meteorological conditions, the operation and maintenance department can formulate maintenance plans more scientifically. For some cable segments that are prone to problems in frequently occurring severe weather environments, the frequency of routine maintenance can be appropriately increased, and targeted preventive maintenance work can be carried out in advance, such as insulation reinforcement, replacement of vulnerable parts, etc., to make maintenance work more forward-looking and accurate, ensure that the cables are always in good operating condition, and further improve the power supply reliability of the entire transmission cable system. Based on the predicted risk conditions and early warning information, power companies can reasonably allocate human, material and financial resources, and invest more resources in the maintenance and monitoring of high-risk and fault-prone cable segments, avoid indiscriminate investment of resources in all cables, improve the efficiency of resource utilization, and achieve effective cost control while ensuring the safety of transmission cables, thereby improving the company's economic benefits and operational management level, and further improving the accuracy and practicality of data processing methods based on large models.

[0060] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0061] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data processing method based on a large model, used to determine the data transmission security of a transmission cable according to the large model, characterized in that: include: Recording the vibration times of a plurality of transmission cables and generating a corresponding damage comparison library according to the historical data of the vibration times; Setting a number of corresponding transmission paths and a number of transmission nodes according to the transmission cables; Collecting real-time physical data and real-time transmission data of the transmission path, real-time physical data of the transmission nodes, and environmental data of the area where the transmission path is located; Determine the aging rate of the transmission path according to the real-time physical data of the transmission path, determine the offset of the overhead transmission node before and after the strong wind passes according to the real-time physical data of the transmission node, and generate vibration data according to the vibration number and the environmental data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the environmental data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; pairing the predicted short circuit rate and the predicted fracture rate with the damaged control library, If the pairing is successful, the corresponding physical transmission damage rate is formed; If pairing fails, verifying the real-time transmission data, and, In response to successful verification, the predicted short circuit rate and the predicted fracture rate are recorded as normal states and stored in the damage reference library; In response to a check failure, the predicted short circuit rate and the predicted break rate are recorded as abnormal states, a corresponding physical transmission damage rate is generated, and stored in the damage comparison library.

2. The data processing method based on a large model according to claim 1, characterized in that: The process of monitoring the safety of the transmission cable includes: Recording the number of vibrations of the transmission cable; Before and after the strong wind passes through the area where the transmission cables are located, cruise and shoot each of the transmission cables and the overhead transmission nodes to generate cable images and transmission node images, which are used as real-time physical data of the cable images or real-time physical data of the transmission nodes respectively; Collecting wind speed data, temperature data and humidity data of the area where each transmission cable is located as the environmental data; determining an aging rate of the transmission cable according to the cable image, determining an offset of the overhead transmission node before and after the strong wind passes according to the transmission node image, determining vibration data of the transmission cable according to the wind speed data and the vibration times, the vibration data including slight vibration and strong vibration, and determining meteorological data of the transmission cable according to the temperature data and the humidity data, the meteorological data including exposure data, rainfall data, icing data and low temperature data; Determine the actual short circuit rate of the transmission cable according to the vibration data and the aging rate, determine the breakage rate of the transmission cable according to the vibration data and the offset of the overhead transmission node before and after the strong wind passes, and determine the predicted aging rate of the transmission cable and the predicted offset of the overhead transmission node according to the vibration data and the meteorological data respectively; Generate a predicted short circuit rate according to the actual short circuit rate and the predicted aging rate, and generate a predicted fracture rate according to the fracture rate and the predicted offset; issuing a short circuit alarm according to the predicted short circuit rate, and issuing a fracture alarm according to the predicted fracture rate; The strong wind refers to flowing air whose wind speed data is greater than or equal to a preset wind speed.

3. The data processing method based on a large model according to claim 2 is characterized in that: The process of determining the vibration data of the transmission cable according to the wind speed data and the vibration number includes: When the wind speed data is greater than or equal to the preset wind speed data, if the vibration number is greater than or equal to the preset vibration number, it is determined that the vibration data of the transmission cable is the strong vibration. If the vibration number is less than the preset vibration number, determining that the vibration data of the transmission cable is the slight vibration; The preset wind speed is positively correlated with the mass of the transmission cable, and the preset vibration number is negatively correlated with the mass of the transmission cable.

4. The data processing method based on a large model according to claim 3 is characterized in that: When determining the water vapor content in the air according to the humidity data, If the humidity data is greater than or equal to the preset humidity, it is determined that the water vapor content in the air is high. If the humidity data is less than the preset humidity, it is determined that the water vapor content in the air is low; The preset humidity is negatively correlated with the air pressure.

5. The data processing method based on a large model according to claim 4 is characterized in that: When it is determined that the water vapor content in the air is high, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the first preset temperature, the meteorological data is determined to be the rainfall data, If the temperature data is lower than the first preset temperature, the meteorological data is determined to be the freezing data. The first preset temperature is negatively correlated with the atmospheric pressure.

6. The data processing method based on a large model according to claim 5 is characterized in that: When it is determined that the water vapor content in the air is low, the meteorological data of the transmission cable is determined according to the temperature data, wherein: If the temperature data is not less than the second preset temperature, the meteorological data is determined to be the exposure data. If the temperature data is lower than the second preset temperature, determining that the meteorological data is the low temperature data; The second preset temperature is greater than the first preset temperature and is positively correlated with the sunshine duration.

7. The data processing method based on a large model according to claim 6 is characterized in that: The process of determining the aging rate of the transmission cable according to the cable image includes: detecting the width and length of the crack in the insulation layer of the transmission cable in the cable image, The aging rate of the transmission cable is calculated in combination with the diameter and length of the transmission cable.

8. The data processing method based on a large model according to claim 7 is characterized in that: The process of determining the offset of the overhead transmission node before and after the strong wind passes according to the transmission node image includes: The position where the bottom of the overhead transmission node contacts the ground is selected as the coordinate origin to establish a rectangular coordinate system. The offset is calculated based on the pixel coordinates of the top of the overhead transmission node in the transmission node images before and after the strong wind passes.

9. The data processing method based on a large model according to claim 8, characterized in that: The process of determining the fracture rate and the aging rate includes: The vibration data is converted into vibration parameters, and the meteorological data is converted into meteorological parameters. The actual short circuit rate is calculated by combining the vibration parameter with the aging rate; The fracture rate is calculated by combining the vibration parameter with the offset of the overhead transmission node before and after the strong wind passes; determining the predicted aging rate of the transmission cable according to the vibration data and the meteorological data in combination with the diameter and length of the transmission cable; The predicted deflection of the transmission cable is determined based on the vibration data and the meteorological data in combination with the deflection of the overhead transmission node.

10. The data processing method based on a large model according to claim 9, characterized in that: The process of predicting the fracture rate includes: Coupling the actual short-circuit rate and the predicted aging rate to generate the predicted short-circuit rate; The fracture rate and the predicted offset are coupled to generate the predicted fracture rate.

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