Power transmission line inspection data asset management method and system

Abstract

The invention discloses a power transmission line inspection data asset management method and system, and relates to the field of power transmission line inspection, and the main scheme is as follows: respectively calculating a wind power stability index, a line risk index and an electromagnetic environment evaluation index; comparing a risk assessment index with a preset threshold to judge whether the power transmission line has an abnormal risk or not; calculating a maintenance grade index, and comparing with a threshold to select a maintenance method; calculating the effective utilization rate of maintenance resources to obtain a data effective utilization rate index, and comparing the data effective utilization rate index with a threshold to judge a data effective utilization rate grade; the method can scientifically evaluate the risk of the power transmission line, reasonably determine the maintenance priority, accurately judge the effective utilization rate of data, and guarantee the safe and stable operation of the power transmission line.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line inspection, and in particular to a power transmission line inspection data asset management method and system. Background Art

[0002] As a key infrastructure for power transmission, the stable operation of transmission lines is crucial to ensuring power supply. During the operation of transmission lines, a large amount of patrol data will be generated, including various parameters such as voltage, current, and electromagnetic field strength. However, the current asset management of transmission line patrol data faces many challenges. On the one hand, the data sources are diverse and complex, and how to accurately collect these data is a difficult problem. On the other hand, the collected data needs to be effectively managed and analyzed in order to promptly detect possible faults and abnormal conditions in the transmission lines and ensure the safe operation of the power system. However, there are still major deficiencies in data management and utilization.

[0003] Existing technologies attempt to solve the problem of data management for power transmission line inspections to a certain extent. In terms of data collection, various sensors are installed along the power transmission lines to obtain relevant data. In the data processing center, some simple data analysis methods are used to determine whether the data is abnormal.

[0004] Although the existing technology has made some attempts in the management of transmission line inspection data, there are still many defects. For example, the data collection of the existing technology often only collects common voltage and current data, and the important data such as electromagnetic field strength and environment are not collected enough or not collected, which makes it impossible to fully evaluate the operation status of the transmission line, resulting in inaccurate risk assessment of the transmission line and poor management effect. Summary of the invention

[0005] 1. Technical problems solved: In view of the shortcomings of the prior art, the present invention provides a method and system for transmission line patrol data asset management, which calculates wind stability indicators, line risk indicators and electromagnetic environment assessment indicators; and obtains risk assessment indicators, and compares with preset thresholds to determine whether there are abnormal risks in the transmission line; calculates maintenance level indicators, and compares with the thresholds to select maintenance methods; calculates the effective utilization rate of maintenance resources, and then obtains data effective utilization rate indicators, and compares with the thresholds to determine the data effective utilization rate level, thereby solving the problems of incomplete data collection and inaccurate and untimely risk detection.

[0006] (II) Technical solution: To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for managing transmission line patrol data assets, comprising: Collect environmental information data, electromagnetic field strength data, operation status data and historical operation data of transmission lines in different regions; Calculation of wind load forces on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data ; According to the wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators Compare with the risk assessment index threshold, and judge whether there are abnormal risks in the transmission lines in different areas according to the results; When there is an abnormal risk in the transmission line, according to the historical operation data and risk assessment indicators of the transmission line in the corresponding area , calculate the maintenance level index ; Preset maintenance level indicator threshold, and set maintenance level indicator Compare with the maintenance level indicator threshold, and select the corresponding maintenance method according to the comparison result; According to the operating status data and maintenance level indicators , calculate the effective utilization rate of maintenance resources ; Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold, and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

[0007] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method: calculating the wind stability index The method is: Environmental information data including air density in different areas , wind speed The angle between the wind direction and the transmission line axis ; Electromagnetic field strength data includes magnetic field strength values ​​in different areas , Transmission line length and the angle between the transmission line and the magnetic field ; According to air density , wind speed and axial angle , calculate wind load force , the calculation formula is: ; in, is the drag coefficient; The area of ​​the transmission line exposed to wind; According to wind load , magnetic field strength value , Transmission line length Angle between direction , calculate the wind stability index , the formula based on is: ; in, For the quality of transmission lines; is the acceleration due to gravity; is the correction factor; is the wind angle; n is the adjustment coefficient.

[0008] In the preferred embodiment of the above-mentioned transmission line inspection data asset management method: calculating the line risk index The method is: The operating status data includes the current value at different times , voltage value and line rated impedance ; Historical operating data including current average value , voltage average and the average line impedance ; Calculate line risk indicators based on operating status data and historical operating data , the calculation formula is: ; in, is the current value at the i-th moment, and the value of i is [1, N]; is the total number of moments, which is a positive integer; is the voltage value at the i-th moment.

[0009] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method: calculating the electromagnetic environment assessment index The method is: The electromagnetic field strength data also includes the electric field strength values ​​in different areas ; Historical operating data also includes average electric field strength and the average magnetic field strength ; According to the magnetic field strength value , electric field strength value , average electric field strength and the average magnetic field strength , calculate the electromagnetic environment assessment index , the calculation formula is: ; in, is the angular frequency; is the vacuum permeability; is the conductivity of the medium around the transmission line; T is the total observation time.

[0010] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method, the method for judging whether there are abnormal risks in transmission lines in different areas is: According to the wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index , the calculation formula is: ; in, Wind stability index The weight coefficient is between 0.2 and 0.3; Line risk index The weight coefficient is 0.3~0.4; Electromagnetic environment assessment index The weight coefficient is between 0.4 and 0.5; and + + =1; Preset risk assessment indicator thresholds; The risk assessment indicator threshold set includes risk assessment indicator threshold 1 , Risk Assessment Indicator Threshold 2 and risk assessment indicator threshold three ,and ; when When the transmission line is judged to be free of risk; when When the transmission line is judged to have a slight abnormal risk; when When the transmission line is judged to have a moderate abnormal risk; when When the transmission line is judged to have a serious abnormal risk.

[0011] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method, the method for determining the maintenance level is: Historical operation data also includes the number of line failures ; When there is an abnormal risk in the transmission line, according to the number of line faults and risk assessment indicators , calculate the maintenance level index , the calculation formula is: ; in, is the importance level of the line; Rate the severity of the environment; The degree of equipment aging; is the maintenance distance coefficient; The maintenance level indicator threshold includes the maintenance level indicator threshold 1 and maintenance level indicator threshold 2 ,and ; when When the maintenance level is judged to be low, maintenance method 1 is adopted; when When the maintenance level is judged to be intermediate, maintenance method 2 is adopted; when When the maintenance level is judged to be high, maintenance method three is adopted.

[0012] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method: calculating the effective utilization rate of maintenance resources The method is: Operation status data also includes repair success rate and maintenance response time ; According to the maintenance level index , Line failure times , Repair success rate and maintenance response time , calculate the effective utilization rate of maintenance resources , the calculation formula is: ; in, Budget costs for total repairs; is the number of failures; Repair success rate The weight coefficient is between 0.5 and 0.7; Maintenance response time The weight coefficient is between 0.3 and 0.5; + =1.

[0013] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method: calculating the data effective utilization index The method is: Based on effective utilization of maintenance resources , calculate the data effective utilization index , the calculation formula is: ; in, is the effective data volume; The total amount of data.

[0014] In the preferred embodiment of the above-mentioned transmission line patrol data asset management method, the method for determining the level of data effective utilization is: The data effective utilization index threshold includes the data effective utilization index threshold 1 And data effective utilization index threshold 2 ,and ; when When the data effective utilization rate is judged to be low, a first-level warning message is sent; when When the data effective utilization rate is judged to be intermediate, a secondary warning message is sent; when , the effective utilization rate of data is judged to be high.

[0015] The present invention also discloses a transmission line patrol data asset management system, which is used to implement the above-mentioned transmission line patrol data asset management method, comprising: Data collection module, used to collect environmental information data, electromagnetic field strength data, operation status data and historical operation data of transmission lines in different areas; Data analysis module, used to calculate wind load forces on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data ; Risk assessment module for wind stability indicators , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators Compare with the risk assessment index threshold, and judge whether there are abnormal risks in the transmission lines in different areas according to the results; Maintenance module, used to check the historical operation data and risk assessment indicators of the transmission lines in the corresponding area when there are abnormal risks in the transmission lines , calculate the maintenance level index ; Preset maintenance level indicator threshold, and set maintenance level indicator Compare with the maintenance level indicator threshold, and select the corresponding maintenance method according to the comparison result; Data management module, used to monitor the status of the operation and maintenance level indicators , calculate the effective utilization rate of maintenance resources ; Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold, and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

[0016] (III) Beneficial effects: The present invention provides a transmission line patrol data asset management method and system, which has the following beneficial effects: (1) Environmental information data can help understand the natural conditions of the transmission line; electromagnetic field strength data can help evaluate the electromagnetic impact of the transmission line on the surrounding environment and ensure the normal operation of other electronic equipment. Operation status data can monitor the working conditions of the transmission line in real time and promptly detect potential faults such as overload and short circuit. Historical operation data can provide a scientific basis for the maintenance, upgrade and optimization of the transmission line by analyzing past failure modes and operation trends.

[0017] (2) Calculating wind load forces can accurately predict the wind conditions that transmission lines in different regions can withstand in advance, which helps to take wind protection measures in advance. Calculating wind stability indicators can intuitively understand the stability of transmission lines under wind force, which is convenient for timely detection and treatment of structural problems. Line risk indicators can effectively monitor the operation risks of transmission lines, prevent faults in advance, and ensure the reliability of power transmission. Calculating electromagnetic environment assessment indicators can scientifically evaluate the electromagnetic environment around transmission lines, which helps to optimize the layout and operation strategy of transmission lines.

[0018] (3) Risk assessment indicators are calculated by integrating wind stability indicators, line risk indicators and electromagnetic environment assessment indicators, which can comprehensively and systematically evaluate the operating conditions of transmission lines and avoid the one-sidedness caused by single-factor assessment. By comparing and judging based on preset thresholds, quantitative management of transmission line risks can be achieved. When the risk assessment indicator exceeds the threshold, targeted maintenance and inspection measures can be taken quickly to ensure the stability and safety of power transmission.

[0019] (4) Calculating the maintenance level index can comprehensively and accurately evaluate the health status of the transmission line, making the maintenance strategy more targeted. By selecting the maintenance method based on the preset threshold, the maintenance process can be standardized and regularized, ensuring that each maintenance can effectively reduce the operation risk of the transmission line and improve the overall reliability and stability of the transmission system.

[0020] (5) Calculating the effective utilization rate of maintenance resources can accurately evaluate the efficiency of maintenance resource use, ensure that resources are fully and reasonably used, and avoid resource waste; by accurately calculating the effective utilization rate of data, it is possible to avoid the waste of data resources and maximize the value of data in the maintenance and management of transmission lines. By presetting thresholds and comparing and judging the level of data effective utilization, data collection and use strategies can be adjusted in a timely manner to ensure the long-term stable operation of transmission lines and reduce the possibility of failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The figure is a schematic diagram of the steps of a transmission line patrol data asset management method of the present invention.

[0022] Figure 2 This is a flow chart of step three in a transmission line patrol data asset management method of the present invention.

[0023] Figure 3 It is a structural schematic diagram of a transmission line patrol data asset management system of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] See also Figure 1-2 The present invention provides a method for managing transmission line patrol data assets, comprising: Step 1: Collect environmental information data, electromagnetic field strength data, operating status data and historical operating data of transmission lines in different areas.

[0026] Comprehensive step one: Environmental information data can help assess the impact of the natural environment on transmission lines. Electromagnetic field strength data helps ensure that the electromagnetic radiation of the surrounding environment is within a safe range and that electronic equipment operates normally. Operation status data can monitor the working conditions of transmission lines in real time, detect abnormalities such as overloads and short circuits in a timely manner, and facilitate rapid maintenance measures to reduce power outages. Historical operation data provides an important basis for long-term performance evaluation, fault analysis, and optimization and upgrading of transmission lines, helping to improve the reliability and operating efficiency of the entire transmission system.

[0027] Step 2: Calculate the wind load force on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data .

[0028] Step 201: Environmental information data includes air density in different areas , wind speed The angle between the wind direction and the transmission line axis .

[0029] It should be noted that the temperature T and air pressure p are measured in real time by using high-precision thermometers and barometers; the air density is calculated based on the temperature T and air pressure p. ,in, is the gas constant. By installing an anemometer near the transmission line, the local wind speed is directly measured and the wind speed is obtained. The wind direction can be measured by installing a wind vane near the transmission line. The wind vane indicates the wind direction through the force of the wind on the tail wing. Combined with the angle sensor, the angle between the two directions can be accurately measured to obtain the axial angle between the wind direction and the transmission line. .

[0030] Electromagnetic field strength data includes magnetic field strength values ​​in different areas , Transmission line length and the angle between the transmission line and the magnetic field .

[0031] It should be noted that by using an electromagnetic strength tester, the magnetic field strength values ​​in different areas can be directly obtained. The GIS geographic information system stores a large amount of information related to transmission lines. By querying the GIS database, the length of the transmission line can be obtained. Place a compass in the measurement area, wait for the compass needle to stabilize, and record the direction of the magnetic field; use an angle measuring instrument, fix the angle measuring instrument at a certain position of the transmission line, and measure the direction of the transmission line; according to the angle between the transmission line and the magnetic field, the angle between the transmission line and the magnetic field can be obtained. For example, if the magnetic field direction is 0° and the transmission line direction is 30°, then the direction angle is .

[0032] Step 202: According to air density , wind speed and axial angle , calculate wind load force , the calculation formula is: ; in, is the drag coefficient; The area of ​​the transmission line exposed to wind.

[0033] It should be noted that obtaining the drag coefficient The method is as follows: The drag coefficient is used to describe the characteristics of the air resistance encountered by an object when it moves in a fluid. It defines the degree to which the shape and surface characteristics of an object affect the air resistance. When objects of different shapes move in the air, the air flows around them in different ways, resulting in different resistances. At this time, a drag coefficient is introduced. To reflect the degree to which objects of different shapes are affected by different resistances in the wind. By fixing the transmission line on the force measuring device in the wind tunnel, changing the wind speed in the wind tunnel, and recording the wind resistance FD, the object's windward area AS and the wind speed VB.

[0034] According to the wind resistance FD, the windward area of ​​the object and wind speed , calculate the drag coefficient , the calculation formula is: ; in, is the air density in the wind tunnel.

[0035] Get the wind-exposed area of ​​the transmission line , the diameter d is obtained by measuring the diameter of the transmission line with a caliper, and the axial angle between the wind direction and the transmission line is , calculate the wind-exposed area of ​​the transmission line , the calculation formula is: .

[0036] It should be noted that in this formula It is the basic formula for calculating dynamic pressure in aerodynamics. It is a coefficient related to the shape and surface characteristics of an object. Objects of different shapes experience different resistance in the wind, and the drag coefficient reflects this difference. It is the projected area of ​​the transmission line on the plane perpendicular to the wind direction. The larger the area, the greater the wind load force. The wind load force is proportional to the air density, the square of the wind speed, the drag coefficient and the windward area of ​​the transmission line. The square relationship of wind speed shows that the influence of wind speed on wind load force is very significant. If the wind speed doubles, the wind load force will increase fourfold.

[0037] Step 203: According to wind load force , magnetic field strength value , Transmission line length , Transmission line wind exposure area Angle between direction , calculate the wind stability index , the formula based on is: ; in, For the quality of transmission lines; is the gravitational acceleration, which is ; The wind-exposed area of ​​the transmission line Correction factor of is the wind deflection angle; n is the wind deflection angle The adjustment coefficient is a positive number.

[0038] It should be noted that to obtain the mass m of the transmission line, the material density, cross-sectional area and length of the transmission line are obtained by looking up the product manual of the transmission line, and the material density, cross-sectional area and length are multiplied to obtain the mass m of the transmission line.

[0039] Get the correction factor The method is as follows: when calculating the wind load force, it is theoretically assumed that the air is a uniform ideal fluid and the transmission line is a completely regular geometric shape; however, the actual air flow has complex phenomena such as turbulence and eddy currents, and the surface of the transmission line is rough and uneven. These practical factors lead to deviations between the theoretical calculation results and the actual force conditions, so it is necessary to introduce a correction factor By installing anemometers on the transmission lines and dividing the actual measured wind load force by the wind load force calculated by the theoretical formula, the correction factor can be obtained. .

[0040] Get wind angle By installing an inclinometer on the transmission line, the deviation angle of the transmission line under the action of wind is directly measured to obtain the wind deflection angle. .

[0041] The method to obtain the adjustment coefficient n is as follows: After years of transmission line operation, the power industry has accumulated a large amount of data on the operating status of transmission lines under different environments and working conditions. By analyzing these data, it is found that under certain specific conditions, there is a deviation between the results calculated according to the basic theoretical formula and the actual operating conditions. Therefore, a scaled model of the transmission line is made to ensure that the geometric shape, mass distribution, etc. of the model are similar to the actual transmission line; the model is installed on the test platform in the wind tunnel, and the wind speed and direction of the wind tunnel are adjusted to simulate different wind load conditions; displacement sensors, strain gauges and other measuring instruments are installed on the model to record the response data of the model under wind load; the wind load forces in different operating states are calculated based on the measured data. , magnetic field strength value , Transmission line length , direction angle And the corresponding wind stability index , using the operation status evaluation model based on deep learning in the prior art, the operation status evaluation model is trained through the data obtained from the above multiple experiments, and the adjustment coefficient n is determined by the evaluation model, and its value is a positive number.

[0042] It should be noted that Represents the force generated by the transmission line’s own gravity. This term takes into account the force of the magnetic field on the transmission line. This term takes into account the relationship between the wind load force and the corrected windward area of ​​the transmission line. This part takes into account the effect of wind deflection on wind stability. The larger the wind deflection, the smaller the wind stability index, indicating worse stability. This formula evaluates the wind stability index of the transmission line by comprehensively considering factors such as the gravity, magnetic field force, wind load force and wind deflection of the transmission line. .

[0043] Step 204: The operating status data includes current values ​​at different times , voltage value and line rated impedance .

[0044] It should be noted that by using the current transformer and voltage transformer installed on the transmission line, the current and voltage of the transmission line can be directly measured to obtain the current value. and voltage value The rated impedance of the line can be directly measured by connecting the bridge measuring instrument to both ends of the line. .

[0045] Historical operating data including current average value , voltage average and the average line impedance .

[0046] It should be noted that the current data and voltage data measured by the current transformer and the voltage transformer over a period of time are recorded, the recorded data are summed and divided by the number of records to obtain the current average value. and voltage average Based on the average current over a period of time and voltage average , the average line impedance can be obtained .

[0047] Step 205: Calculate the line risk index based on the operation status data and historical operation data , the calculation formula is: ; in, is the current value at the i-th moment, and the value of i is [1, N]; is the total number of moments, which is a positive integer; is the voltage value at the i-th moment.

[0048] It should be noted that What is calculated is the standard deviation of the current value. It reflects the fluctuation of the current value at different times relative to the average current value. The standard deviation of the voltage is calculated. It reflects the fluctuation of the voltage value relative to the average voltage value at different times. The two standard deviations are multiplied together to comprehensively consider the fluctuation of current and voltage. It is the product of the average current and the average voltage, and is used as part of the denominator for normalization. This part takes into account the average line impedance and line rated impedance The deviation of this part will be larger when the difference between the average impedance of the line and the rated impedance is larger, resulting in The larger the value, the higher the risk of the line.

[0049] Step 206: The electromagnetic field strength data also includes electric field strength values ​​in different regions .

[0050] It should be noted that the electric field strength value is directly measured by using an electromagnetic strength tester .

[0051] Historical operating data also includes average electric field strength and the average magnetic field strength .

[0052] It should be noted that multiple electric field strength data and multiple magnetic field strength data are obtained by using an electromagnetic strength tester to perform multiple measurements, and the multiple electric field strength data and multiple magnetic field strength data are summed up and divided by the number of measurements to obtain the average electric field strength. and the average magnetic field strength .

[0053] Step 207: According to the magnetic field strength value , electric field strength value , average electric field strength and the average magnetic field strength , calculate the electromagnetic environment assessment index , the calculation formula is: ; in, is the angular frequency; is the vacuum magnetic permeability, which is ; is the conductivity of the medium around the transmission line; T is the total observation time.

[0054] It should be noted that obtaining the angular frequency , calculate the angular frequency by the frequency f in the circuit For example, for a 50Hz power system, .

[0055] Obtain the conductivity of the medium surrounding the transmission line Since the conductivity depends on the properties of the medium, we can directly refer to relevant literature or experimental data to obtain the typical conductivity values ​​of different media, so as to obtain the conductivity of the medium around the transmission line. .

[0056] Obtain the total observation time T, which refers to the total duration of observation of the relevant parameters of the transmission line. Calculate the total observation time T by recording the start time and end time of the observation.

[0057] It should be noted that It reflects the product of electric field strength and magnetic field strength, which is often used in electromagnetism to represent the coupling effect of electromagnetic fields. This part takes into account the attenuation and phase shift effects of the medium on the electromagnetic field. This part is a correction to the average field strength. These corrections take into account the average value of the electric and magnetic field strengths during the observation time, making the evaluation indicators more accurately reflect the actual situation of the electromagnetic environment.

[0058] Comprehensive steps 201 to 207: Accurate calculation of wind load forces can help rationally design the support structure of transmission lines, ensure their safety in different wind environments, and reduce the risk of line damage caused by strong winds. The wind stability index can provide early warning of problems such as wind deviation, making it easier to take reinforcement and other maintenance measures. The calculation of line risk indicators can comprehensively consider the operating status and historical conditions, timely discover potential line faults, and ensure the continuity of power transmission. The determination of electromagnetic environment assessment indicators helps to understand the electromagnetic impact of transmission lines on the surrounding environment, rationally plan line layout, avoid adverse effects on surrounding electronic equipment, and achieve safe, stable and environmentally friendly operation of the power system.

[0059] Step 3: Based on wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators The results are compared with the risk assessment index thresholds to determine whether there are abnormal risks in transmission lines in different areas.

[0060] Step 301: Based on wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index , the calculation formula is: ; in, Wind stability index The weight coefficient is between 0.2 and 0.3; Line risk index The weight coefficient is 0.3~0.4; Electromagnetic environment assessment index The weight coefficient is between 0.4 and 0.5; and + + =1.

[0061] It should be noted that this formula takes into account the wind stability index , Line risk indicators and electromagnetic environment assessment indicators These three important parameters. Each parameter has a corresponding weight coefficient, indicating the importance of the risk assessment index in calculating the risk assessment index. By multiplying each parameter with its corresponding weight coefficient and then summing them up, we can get a risk assessment index that can fully describe the transmission line. .

[0062] Step 302: Preset risk assessment indicator thresholds; the risk assessment indicator threshold set includes risk assessment indicator threshold 1 , Risk Assessment Indicator Threshold 2 and risk assessment indicator threshold three ,and ; Through statistical analysis of the long-term historical operation data of the transmission line, the current and voltage data under different states such as normal operation, before fault, and during fault are statistically analyzed. For wind speed data and wind direction data, the data under different seasons and different wind speed conditions are statistically analyzed. The above multiple groups of data are calculated by the above calculation method to obtain multiple risk assessment indicators, and the average value of the risk assessment indicators is calculated. and standard deviation ,Will As a risk assessment indicator threshold ; The average value of risk assessment index As a risk assessment indicator threshold ,Will As a risk assessment indicator threshold three .

[0063] Step 303: When When the transmission line is judged to be free of risk; when When the transmission line is judged to have a slight abnormal risk; when When the transmission line is judged to have a moderate abnormal risk; when When the transmission line is judged to have a serious abnormal risk.

[0064] Comprehensive steps 301 to 303: This method can comprehensively consider various factors that affect the safety of transmission lines, avoiding the one-sidedness caused by single factor evaluation. The method of comparing by preset thresholds provides a quantitative and intuitive risk judgment standard, which can quickly determine whether the transmission line is in an abnormal risk state based on the comparison results, and then take targeted maintenance and repair measures to ensure the safe and stable operation of the transmission line and reduce power outages and economic losses caused by transmission line failures.

[0065] Step 4: When there is an abnormal risk in the transmission line, according to the historical operation data and risk assessment indicators of the transmission line in the corresponding area , calculate the maintenance level index ; Preset maintenance level indicator threshold, and set maintenance level indicator The maintenance level is compared with the threshold of the maintenance level indicator, and a corresponding maintenance method is selected according to the comparison result.

[0066] Step 401: Historical operation data also includes the number of line failures ; It should be noted that the transmission line fault monitoring system database is used to extract the transmission line fault data; the extracted data is analyzed and counted to determine the number of line faults. .

[0067] Step 402: When there is an abnormal risk in the transmission line, according to the number of line faults and risk assessment indicators , calculate the maintenance level index , the calculation formula is: ; in, is the importance level of the line; Rate the severity of the environment; The degree of equipment aging; is the maintenance distance factor.

[0068] It should be noted that obtaining the line importance level , using a scoring standard of 1 to 5; by using the power system reliability assessment software, simulate the impact of line failures on power grid reliability indicators; if a line failure will cause a large-scale power outage, its importance level is high. For example, a city has two transmission lines. Line a connects the city’s main power plant and a large data center. The data center is responsible for storing the city’s key data and financial transaction information. Line b connects the power plant and an ordinary residential area. Once line a fails, it will cause a power outage in the data center, affecting the normal operation of the city and economic stability. Therefore, the line importance level of line a is relatively high and can be set to 5. Although the failure of line b will affect the lives of residents, the relatively small impact range and consequences are relatively small, and its line importance level is relatively low, which can be set to 2. The line importance level is determined in this way .

[0069] Get the severity rating of the environment , using a 0-10 rating scale; by using GIS software, the geographic data and meteorological data of the area where the transmission line is located are imported. Through the spatial analysis functions of GIS software such as buffer analysis and overlay analysis, the environmental severity of transmission lines in different regions is comprehensively evaluated. For example, power transmission lines in coastal areas are often subject to strong winds and salt spray erosion, and the environmental severity score can be rated 8 points; while power transmission lines located in inland plains have a mild climate and the environmental severity score can be rated 2 points.

[0070] Get the device aging degree , using a 0-10 scoring standard; by recording the installation time of transmission line equipment such as towers, insulators and conductors, the degree of aging is assessed based on the design service life and actual operating years of the equipment. For example, if a tower of a transmission line has been in operation for 30 years, and its design service life is 35 years, it means that the equipment is relatively aged and can be scored as 7 points; while a tower of a transmission line has been in operation for 5 years and the equipment is in good condition, it can be scored as 1 point; in this way, the degree of equipment aging is determined .

[0071] Get the maintenance distance coefficient , using a 0-10 scoring standard; measure the straight-line distance between the transmission line and the nearest maintenance resource point through Baidu Maps; if the distance is within 3km, the maintenance distance coefficient is rated as 3 points; if the distance is between 3 and 5km, the maintenance distance coefficient is rated as 5 points; if the distance is between 5 and 10km, the maintenance distance coefficient is rated as 7 points; if the distance exceeds 10km, the maintenance distance coefficient is rated as 9 points; in this way, the maintenance distance coefficient is obtained .

[0072] It should be noted that This part takes into account the importance of the line, the number of historical failures and the severity of the environment. The product of the importance level of the line and the number of historical failures reflects the importance of the line and the past failures, and then multiply it by The influence of environmental factors is taken into account. This part mainly considers the impact of the number of historical failures and performs a nonlinear processing on the number of historical failures, making the impact of the number of historical failures on the maintenance priority more reasonable. The degree of equipment aging is taken into account. The higher the degree of equipment aging, the smaller the denominator, the larger the MPI value, and the higher the maintenance priority. The entire formula is also multiplied by and , and further comprehensively considered the equipment aging degree and maintenance distance coefficient.

[0073] Step 403: Preset the maintenance level indicator threshold; the maintenance level indicator threshold includes a maintenance level indicator threshold 1 and maintenance level indicator threshold 2 ,and ; By collecting historical fault data of transmission lines over the years, including the time, location, type and repair status of the faults, statistical analysis is performed on these data, the average number of faults for each line in a specific time period is calculated, and the distribution of the number of faults is analyzed. The mean and standard deviation of the number of faults are calculated, and the mean value minus the standard deviation of the number of faults is used as the threshold value of the maintenance level indicator. ; The average value of the number of failures plus the standard deviation is used as the maintenance level indicator threshold 2 .

[0074] Step 404: When When the maintenance level is judged to be low, maintenance method one is adopted; maintenance method one includes regular appearance inspection, simple cleaning and tightening operations.

[0075] when When the maintenance level is judged to be intermediate, maintenance method two is adopted; maintenance method two includes replacing aging insulators and repairing slightly damaged conductors.

[0076] when When the maintenance level is judged to be high, maintenance method three is adopted. Maintenance method three can increase the inspection frequency, comprehensively reinforce the tower, replace a large number of aging equipment and re-lay the wires, etc.

[0077] Comprehensive steps 401 to 403: This method can fully understand the performance of transmission lines under different working conditions, and can accurately locate areas with abnormal risks in combination with risk assessment indicators. By presetting and comparing the thresholds of maintenance level indicators, maintenance work can be graded and different maintenance methods can be adopted for different levels of maintenance needs. This can not only make efficient use of maintenance resources, but also ensure the stable operation of transmission lines to the greatest extent, reduce power outages and economic losses caused by transmission line failures, and ensure the reliability of power supply.

[0078] Step 5: Based on the operating status data and maintenance level indicators , calculate the effective utilization rate of maintenance resources Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold, and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

[0079] Step 501: The operation status data also includes the maintenance success rate and maintenance response time .

[0080] It should be noted that a maintenance task recording system should be established to record in detail the initiation time, fault type, maintenance personnel, maintenance start time, maintenance end time and maintenance results of each maintenance task. In a certain period of time, the number of maintenance tasks successfully completed is counted. and the total number of maintenance tasks , then the repair success rate .

[0081] Use the fault reporting system to record the time each fault is reported and the time the maintenance personnel start repairing. For each maintenance task, the maintenance response time It is equal to the maintenance start time minus the fault reporting time. Then calculate the average maintenance response time. Add the response time of all maintenance tasks within a certain period of time and divide it by the number of maintenance tasks to get the maintenance response time. .

[0082] Step 502: Based on the maintenance level indicator , Line failure times , Repair success rate and maintenance response time , calculate the effective utilization rate of maintenance resources , the calculation formula is: ; in, Budget costs for total repairs; Repair success rate The weight coefficient is between 0.5 and 0.7; Maintenance response time The weight coefficient is between 0.3 and 0.5; + =1.

[0083] It should be noted that obtaining the total maintenance budget cost , through the CMMS computerized maintenance management system, equipment maintenance work can be managed, and detailed information on maintenance-related costs can be recorded. By searching the CMMS system, labor costs, material costs, equipment rental costs, etc. can be obtained separately. The CMMS system can automatically summarize these cost data to obtain the total maintenance budget cost. .

[0084] It should be noted that Indicates that the repair success rate is taken into account and maintenance response time These two important parameters. Each parameter has a corresponding weight coefficient, which indicates the importance of different parameters when calculating the effective utilization of maintenance resources. It means that the higher the total maintenance budget cost, the lower the effective utilization rate of maintenance resources under the same conditions; the more failures there are, the more maintenance resources are needed, resulting in a lower effective utilization rate of maintenance resources; the higher the maintenance level index, the more difficult or important the equipment is to maintain, requiring more maintenance resources, which reduces the effective utilization rate of maintenance resources.

[0085] Step 503: Based on the effective utilization rate of maintenance resources , calculate the data effective utilization index , the calculation formula is: ; in, is the effective data volume; The total amount of data.

[0086] It should be noted that obtaining the effective data volume , by using the Hortonworks big data platform, directly accessing the log and metadata management functions to see which data is used for data calculation, and then counting the number of data used for data calculation, so as to obtain the effective data volume .

[0087] Get the total amount of data Since the data collection system has a built-in counter, each piece of collected data is counted, and the number of data recorded by the counter is the total amount of data. .

[0088] It should be noted that the effective utilization rate of maintenance resources It reflects the extent to which resources are effectively utilized during the maintenance process. The higher it is, the more efficient the use of maintenance resources is. This ratio reflects the validity of the data, that is, the proportion of valid data in the total data. If this ratio is high, it means that most of the collected data is helpful for maintenance. , is to express the results in percentage form, so as to facilitate and intuitively understand the effective utilization rate of data.

[0089] Step 504: Preset the data effective utilization index threshold; the data effective utilization index threshold includes data effective utilization index threshold 1 And data effective utilization index threshold 2 ,and ; Through statistical analysis of the historical maintenance data of the transmission line, the effective utilization rate of the data in different periods in the past is calculated respectively, and the mean value and variance of the effective utilization rate are calculated. The mean value minus the variance is used as the threshold value of the data effective utilization rate indicator. , the mean value plus the variance is used as the threshold value of the data effective utilization index 2 .

[0090] Step 505: When When the effective utilization rate of data is judged to be low, a first-level warning message is sent to remind that the effective utilization rate of data is low and urgent attention is required.

[0091] when When the effective utilization rate of data is judged to be medium, a second-level warning message is sent; when the effective utilization rate of data is medium, optimization is recommended.

[0092] when , the effective utilization rate of data is judged to be high.

[0093] Comprehensive steps 501 to 505: Calculating the effective utilization rate of maintenance resources can accurately evaluate the efficiency of maintenance resource use, ensure that resources are fully and reasonably used, and avoid resource waste. The calculation of data effective utilization rate indicators helps to evaluate the actual value of the collected data in maintenance decisions and understand whether the data is fully utilized. Presetting thresholds and comparing and judging the level of data effective utilization can intuitively reflect the data utilization situation. When the data effective utilization rate is low, the data collection and use strategy can be adjusted in time to improve data quality and application efficiency, thereby improving the scientificity and accuracy of transmission line maintenance work and ensuring the stable operation of the power system.

[0094] Please see attached Figure 3 On the other hand, the present invention also discloses a transmission line patrol data asset management system, which is used to implement the above-mentioned transmission line patrol data asset management method, including: Data collection module, used to collect environmental information data, electromagnetic field strength data, operation status data and historical operation data of transmission lines in different areas; Data analysis module, used to calculate wind load forces on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data ; Risk assessment module for wind stability indicators , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators Compare with the risk assessment index threshold, and judge whether there are abnormal risks in the transmission lines in different areas according to the results; Maintenance module, used to check the historical operation data and risk assessment indicators of the transmission lines in the corresponding area when there are abnormal risks in the transmission lines , calculate the maintenance level index ; Preset maintenance level indicator threshold, and set maintenance level indicator Compare with the maintenance level indicator threshold, and select the corresponding maintenance method according to the comparison result; Data management module, used to monitor the status of the operation and maintenance level indicators , calculate the effective utilization rate of maintenance resources ; Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold, and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

[0095] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0096] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0097] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for managing transmission line patrol data assets, characterized in that: include: Collect environmental information data, electromagnetic field strength data, operation status data and historical operation data of transmission lines in different regions; Calculation of wind load forces on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data ; According to the wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators Compare with the risk assessment index threshold, and judge whether there are abnormal risks in the transmission lines in different areas according to the results; When there is an abnormal risk in the transmission line, according to the historical operation data and risk assessment indicators of the transmission line in the corresponding area , calculate the maintenance level index ; Preset maintenance level indicator thresholds and set maintenance level indicators Compare with the maintenance level indicator threshold, and select the corresponding maintenance method according to the comparison result; According to the operating status data and maintenance level indicators , calculate the effective utilization rate of maintenance resources ; Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold, and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

2. A method for managing transmission line patrol data assets according to claim 1, characterized in that: Calculating wind stability index The method is: Environmental information data including air density in different areas , wind speed The angle between the wind direction and the axial direction of the transmission line ; Electromagnetic field strength data includes magnetic field strength values ​​in different areas , Transmission line length and the angle between the transmission line and the magnetic field ; According to air density , wind speed and axial angle , calculate wind load force , the calculation formula is: ； in, is the drag coefficient; The area of ​​the transmission line exposed to wind; According to wind load , magnetic field strength value , Transmission line length Angle with direction , calculate the wind stability index , the formula based on is: ； in, For the quality of transmission lines; is the acceleration due to gravity; is the correction factor; is the wind angle; n is the adjustment coefficient.

3. A method for managing transmission line patrol data assets according to claim 2, characterized in that: Calculate route risk index The method is: The operating status data includes the current value at different times , voltage value and line rated impedance ; Historical operating data including current average value , voltage average and the average line impedance ; Calculate line risk indicators based on operating status data and historical operating data , the calculation formula is: ； in, is the current value at the i-th moment, and the value of i is [1, N]; is the total number of moments, which is a positive integer; is the voltage value at the i-th moment.

4. A method for managing transmission line patrol data assets according to claim 3, characterized in that: Calculate electromagnetic environment assessment indicators The method is: The electromagnetic field strength data also includes the electric field strength values ​​in different areas ; Historical operating data also includes average electric field strength and the average magnetic field strength ; According to the magnetic field strength value , electric field strength value , average electric field strength and the average magnetic field strength , calculate the electromagnetic environment assessment index , the calculation formula is: ； in, is the angular frequency; is the vacuum permeability; is the conductivity of the medium around the transmission line; T is the total observation time.

5. A method for managing transmission line patrol data assets according to claim 4, characterized in that: The method for determining whether there are abnormal risks in transmission lines in different areas is: According to the wind stability index , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index , the calculation formula is: ； in, Wind stability index The weight coefficient is between 0.2 and 0.3; Line risk index The weight coefficient is 0.3~0.4; Electromagnetic environment assessment index The weight coefficient is between 0.4 and 0.5; and + + =1; Preset risk assessment indicator thresholds; The risk assessment indicator threshold set includes risk assessment indicator threshold 1 , Risk Assessment Indicator Threshold 2 and risk assessment indicator threshold three ,and ; when When the transmission line is judged to be free of risk; when When the transmission line is judged to have a slight abnormal risk; when When the transmission line is judged to have a moderate abnormal risk; when When the transmission line is judged to have a serious abnormal risk.

6. A method for managing transmission line patrol data assets according to claim 5, characterized in that: The method for determining the maintenance level is: Historical operation data also includes the number of line failures ; When there is an abnormal risk in the transmission line, according to the number of line faults and risk assessment indicators , calculate the maintenance level index , the calculation formula is: ； in, is the importance level of the line; Rate the severity of the environment; The degree of equipment aging; is the maintenance distance coefficient; The maintenance level indicator threshold includes the maintenance level indicator threshold 1 and maintenance level indicator threshold 2 ,and ; when When the maintenance level is judged to be low, maintenance method 1 is adopted; when When the maintenance level is judged to be intermediate, maintenance method 2 is adopted; when When the maintenance level is judged to be high, maintenance method three is adopted.

7. A method for managing transmission line patrol data assets according to claim 6, characterized in that: Calculate the effective utilization rate of maintenance resources The method is: Operation status data also includes repair success rate and maintenance response time ; According to the maintenance level index , Line failure times , Repair success rate and maintenance response time , calculate the effective utilization rate of maintenance resources , the calculation formula is: ； in, Budget costs for total repairs; Repair success rate The weight coefficient is between 0.5 and 0.7; Maintenance response time The weight coefficient is between 0.3 and 0.5; + =1.

8. A method for managing transmission line patrol data assets according to claim 7, characterized in that: Calculate the data utilization rate index The method is: Based on effective utilization of maintenance resources , calculate the data effective utilization index , the calculation formula is: ； in, is the effective data volume; The total amount of data.

9. A method for managing transmission line patrol data assets according to claim 8, characterized in that: The method for determining the level of effective data utilization is: The data effective utilization index threshold includes the data effective utilization index threshold 1 And data effective utilization index threshold 2 ,and ; when When the data effective utilization rate is judged to be low, a first-level warning message is sent; when When the data effective utilization rate is judged to be intermediate, a secondary warning message is sent; when , the effective utilization rate of data is judged to be high.

10. A transmission line patrol data asset management system, characterized by: Data collection module, used to collect environmental information data, electromagnetic field strength data, operation status data and historical operation data of transmission lines in different areas; Data analysis module, used to calculate wind load forces on transmission lines in different regions based on environmental information data ; According to the wind load force and electromagnetic field strength data to calculate wind stability indicators for transmission lines in different regions ; Calculate the line risk index of transmission lines in different regions based on operating status data and historical operating data ; Calculate the electromagnetic environment assessment index of transmission lines in different regions based on electromagnetic field strength data and historical operation data ; Risk assessment module for wind stability indicators , Line risk indicators and electromagnetic environment assessment indicators , calculate the risk assessment index ; Preset risk assessment indicator thresholds and set risk assessment indicators Compare with the risk assessment index threshold, and judge whether there are abnormal risks in the transmission lines in different areas according to the results; Maintenance module, used to check the historical operation data and risk assessment indicators of the transmission lines in the corresponding area when there are abnormal risks in the transmission lines , calculate the maintenance level index ; Preset maintenance level indicator thresholds and set maintenance level indicators Compare with the maintenance level indicator threshold, and select the corresponding maintenance method according to the comparison result; Data management module, used to monitor the status of the operation and maintenance level indicators , calculate the effective utilization rate of maintenance resources ; Based on effective utilization of maintenance resources , calculate the data effective utilization index ; Preset the data effective utilization index threshold and set the data effective utilization index The result is compared with the data effective utilization rate indicator threshold, and the data effective utilization rate level is determined based on the result.

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