A method for intelligent operation and maintenance inspection of power lines

Abstract

The invention discloses an intelligent operation and maintenance inspection method for power lines, which relates to the technical field of power line inspection, and comprises the following steps: one, analyzing historical inspection records of various data corresponding to various monitoring points to obtain lists of related items corresponding to various data; two, analyzing the number of related items in the lists of related items corresponding to various data to obtain a determination reference table; verifying various record data through the correlation between the data, and when too many deviation items appear, determining that the inspection record is abnormal, generating an inspection record abnormal signal, and outputting the inspection record abnormal signal and the abnormal data item simultaneously, which is beneficial for relevant persons to carry out targeted verification and inspection of the abnormal data item and the inspection record, further determining whether there is data falsification or record falsification, improving the supervision of power line inspection, and reducing the possibility of false inspection, data falsification and record falsification to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of power line inspection, and in particular to a power line intelligent operation and maintenance inspection method. Background Art

[0002] Power lines refer to the lines used to transmit electric energy between power plants, substations and power users. They are an important part of the power supply system and are responsible for the transmission and distribution of electric energy. Power lines connect substations and distribution stations with various power users or electrical equipment. Power line inspection refers to the inspection personnel checking the line equipment in a relatively systematic and orderly manner. It is an important link and content of line equipment management and the most basic work in operation. It is to timely grasp the operating status of the line and equipment, including the environmental conditions along the line; discover and eliminate equipment defects, prevent accidents, and record the data of each inspection;

[0003] Patent publication number CN113570110A discloses an intelligent planning method for power line inspection, including data acquisition, obtaining information such as the location, length, number of poles and towers, type, model, quantity, and installation location of equipment installed on the line; calculating the inspection time to obtain the average inspection time of a line during regular inspections and special inspections; setting the inspection cycle to calculate the different cycles required for inspecting all lines in the aforementioned jurisdiction under the conditions of multiple combinations of personnel inspections. The patent obtains information such as the location, length, number of poles and towers, type, model, quantity, and installation location of power lines through basic ledger information data of power facilities such as PMS, and calculates the inspection time, basically sets the number of inspection personnel, inspection characteristics and division of labor of different personnel, and sets the inspection cycle according to the work requirements of the inspection, which can make the power line inspection cycle more scientific.

[0004] However, during manual inspections, some areas are relatively remote and difficult to monitor. Inspectors are lazy and fabricate inspection data. At the same time, there is a lack of effective supervision mechanisms, resulting in data and record falsification, leading to false inspections. Based on this, a method for intelligent operation and maintenance inspection of power lines is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a method for intelligent operation and maintenance inspection of power lines, which solves the technical problem that data and record falsification occur in manual inspections, leading to false inspections.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for intelligent operation and maintenance inspection of power lines, comprising the following steps:

[0008] Step 1: Analyze the historical inspection records of each data corresponding to each monitoring point to obtain a list of related items corresponding to each data;

[0009] Step 2: Analyze the number of related items in the related item list corresponding to each data to obtain a determination reference table;

[0010] Step 3: Analyze the primary data and each data item in the determination reference table, and obtain the correlation calculation formula between the primary data in the determination reference table and each data item according to the analysis result;

[0011] Step 4: According to the correlation calculation formula between the primary data in the reference table and each data item, obtain the theoretical record value corresponding to each data item, analyze the theoretical record value corresponding to each data item with the actual record value, and determine the generation of the inspection record abnormal signal.

[0012] As a further solution of the present invention: the specific method of obtaining the list of related items corresponding to each data is:

[0013] S1: Randomly select one data item from each data item as the analysis item;

[0014] S2: From the remaining data after removing the analysis item data item, select one data item as the calibration item number;

[0015] S3: Obtain the record values ​​corresponding to the analysis item data items in the jth historical inspection records respectively; obtain the record values ​​corresponding to the calibration item data in the jth historical inspection records respectively for free; at the same time, j is used as the inspection number corresponding to each historical inspection record, j ≥ 1, and the record values ​​corresponding to the analysis item data items in the jth historical inspection records are sorted in order from small to large, and at the same time, according to the inspection numbers corresponding to the record values ​​of each analysis item data item after sorting, the record values ​​corresponding to the calibration item data in the jth historical inspection records are sorted accordingly;

[0016] Draw a curve diagram of the change of the calibration item data with the analysis item data item record value according to the analysis item data item record value and the calibration item data record value, and obtain the coordinates of each data point on the change curve according to the analysis item data item record value and the calibration item data record value;

[0017] The line segment between each two adjacent data points on the change curve is marked as a stage line segment, and the slope corresponding to each stage line segment is calculated using the slope calculation formula according to the coordinates of the data points at both ends of each stage line segment;

[0018] The slope change rate calculation formula is used to calculate the change rate between the slopes of the line segments in each stage, and the change rate of the change curve is compared and analyzed with the preset interval. According to the analysis results, when the change rate belongs to the preset interval, the calibration item data is used as the related item of the analysis item data item, otherwise, no processing is performed;

[0019] S4: repeating steps S2-S3, analyzing each of the remaining data after removing the analysis item data item from the data items, thereby obtaining each related item of the analysis item data item, binding each related item of the analysis item data item with the analysis item data item, thereby obtaining a corresponding related item list of the analysis item data item, and taking the analysis item data item as the primary data item of the related item list;

[0020] S5: Repeat steps S1-S4 to obtain a list of related items corresponding to each data item.

[0021] As a further solution of the present invention, the specific method of drawing a curve chart showing the change of the calibration item data with the recorded values ​​of the analysis item data items is:

[0022] The recorded values ​​of the analysis item data items are used as the horizontal coordinate of the two-dimensional coordinate system, and the recorded values ​​of the calibration item data are used as the vertical coordinate, so as to obtain the coordinates Ca (EAa, EBa) of each data point on the change curve, and each data point is connected in sequence to obtain a change curve of the calibration item data with the recorded values ​​of the analysis item data items, wherein a refers to the sequential numbers corresponding to different data points on the change curve, a = 1, 2, ..., j.

[0023] As a further solution of the present invention: the specific method of obtaining the slopes corresponding to the line segments in each stage is:

[0024] The slope is calculated by the formula ki=[EBa-EB(a-1)] / [EAa-EA(a-1)], where i refers to the number of corresponding stage segments on the change curve diagram, and i=j-1.

[0025] As a further solution of the present invention: the specific method for calculating the rate of change between the slopes is:

[0026] The average of the absolute values ​​of the differences between the slopes of the line segments of each two adjacent stages is taken as the rate of change BH between the slopes of the line segments of each stage.

[0027] As a further solution of the present invention: the specific method of obtaining the determination reference table according to the analysis results is:

[0028] The number of related items corresponding to each data item is obtained from the related item list corresponding to each data item, and marked as Fx, where x refers to different data items, that is, each data item. The related item list with the largest number of related items Fx is marked as the judgment reference table.

[0029] As a further solution of the present invention: the specific method of obtaining the correlation calculation formula between the primary data in the determination reference table and each data item is:

[0030] S01: Select one of the data items in the determination reference table as a calculation data item;

[0031] First, obtain the recorded values ​​of the primary data and the calculated data items in the jth historical patrol records, draw a scatter plot with the primary data as the horizontal coordinate and the calculated data as the vertical coordinate, obtain the ratio between the absolute value of the difference between the vertical coordinates of each two adjacent data points on the scatter plot and the absolute value of the difference between the horizontal coordinates, and use the average of all ratios as the estimated coefficient between the calculated data item and the primary data; secondly, obtain the difference between the vertical coordinates and the horizontal coordinates of the data points with the largest and smallest horizontal coordinates in the scatter plot; finally, when the ratio between the two is positive, use the estimated coefficient as the calculated coefficient V1 between the calculated data item and the primary data; when the ratio between the two is negative, use the product of the estimated coefficient and negative one as the calculated coefficient V1 between the calculated data item and the primary data;

[0032] S02: Substitute the recorded values ​​of the primary data and the calculated data items in the jth historical patrol records into the preset calculation formula for calculation and analysis, obtain the deviation number P1 corresponding to the calculated data item, and obtain the correlation calculation formula between the primary data and the calculated data item in the determination reference table according to the calculation coefficient V1 between the primary data, W1=(FY-P1) / V1, where W1 is the theoretical recorded value of the calculated data item, and FY is the recorded value of the primary data;

[0033] S03: Repeat the above steps S01-S02 to obtain the correlation calculation formula between the primary data in the reference table and each data item, Wx=(FY-Px) / Vx, where x refers to different data items.

[0034] As a further solution of the present invention: the specific method of obtaining the deviation value corresponding to the calculated data item is:

[0035] Substitute the recorded values ​​MAj and MBj of the primary data and the calculated data items in the jth historical patrol records into the preset calculation formula: Qj=V1×MAj-MBj, and obtain the values ​​corresponding to Qj in the jth historical patrol records, and use their average as the deviation value P1 corresponding to the calculated data item.

[0036] As a further solution of the present invention: the specific method of determining the generation of the patrol record abnormal signal is:

[0037] Obtain the absolute value of the difference between the theoretical record value and the actual record value corresponding to each data item, mark the number of values ​​whose absolute value of the difference is greater than the preset value Y3 as n, and when the number n is greater than the preset value Y4, generate a patrol record abnormal signal, otherwise, no processing is done, where Y3 and Y4 are both preset values.

[0038] As a further solution of the present invention: data items whose absolute values ​​of differences are greater than a preset value Y3 are marked as abnormal data items and output.

[0039] Beneficial effects of the present invention:

[0040] (1) The present invention obtains a list of related items corresponding to each data by analyzing the related items corresponding to each data, and uses the list of related items with the largest number of related items as a determination reference table, so as to ensure that the determination reference table contains the largest number of related items, thereby further improving the reference of the determination reference table;

[0041] (2) The present invention verifies each item of recorded data through the correlation between the data. When there are too many deviation items, the inspection record is determined to be abnormal, and an inspection record abnormal signal is generated. The inspection record abnormal signal and the abnormal data item are output simultaneously, which is beneficial for relevant personnel to conduct targeted verification and inspection of the abnormal data items and the inspection records, and further determine whether there is data falsification or record falsification, thereby improving the supervision of power line inspections and reducing the possibility of false inspections, data falsification and record falsification to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Figure 1 It is a schematic diagram of the framework structure of a method for intelligent operation and maintenance inspection of power lines of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] Embodiment 1

[0046] See also Figure 1 As shown, the present invention is a method for intelligent operation and maintenance inspection of power lines, comprising the following steps:

[0047] Step 1: Obtain the historical inspection records of various data corresponding to each monitoring point on the power line inspection route;

[0048] Step 2: Analyze the historical patrol records of each data corresponding to each monitoring point, and obtain the list of related items corresponding to each data according to the analysis results. The specific method is as follows:

[0049] S1: Randomly select one data item from each data item as the analysis item;

[0050] Obtain the record values ​​corresponding to the jth historical inspection records of the analysis item data item. It should be noted that j refers to 78 times from the moment the data is obtained. The number of inspection records does not include the moment the data is obtained. 78 ≥ j ≥ 1. At the same time, j is used as the inspection number corresponding to each historical inspection record.

[0051] S2: From the remaining data after removing the analysis item data item, select one item as the calibration item data; similarly, obtain the record values ​​corresponding to the calibration item data in the jth historical patrol records;

[0052] S3: Sort the recorded values ​​corresponding to the analysis item data items in the jth historical inspection records in ascending order, and sort the recorded values ​​corresponding to the calibration item data in the jth historical inspection records according to the inspection numbers corresponding to the sorted analysis item data item recorded values ​​in sequence, and mark the sorted analysis item data item recorded values ​​and calibration item data item recorded values ​​as DAg and DBg, respectively, where g refers to different analysis item data item recorded values ​​and calibration item data item recorded values, g = 1, 2, ..., j;

[0053] For example, when the value of j is 5, the corresponding record values ​​of the analysis item data item in the five historical inspection records are BA1 (first inspection), BA2 (first inspection), BA3 (second inspection), BA4 (third inspection) and BA5 (fifth inspection), and the analysis item data item record values ​​are sorted in ascending order as B1, B5, B4, B3, B2, which means that the analysis item data item record value of the first inspection is the smallest, and the analysis item data item record value of the second inspection is the largest;

[0054] The corresponding record values ​​of the calibration item data records in the five historical inspection records are calibrated as BB1 (first inspection), BB2 (first inspection), BB3 (second inspection), BB4 (third inspection) and BB5 (fifth inspection). According to the sorting order of the analysis item data item record values, the calibration item data record values ​​are sorted as BB1 (first inspection), BB5 (fifth inspection), BB4 (third inspection), BB3 (second inspection) and BB2 (first inspection);

[0055] S4: Draw a curve chart of the change of the calibration item data with the analysis item data item record value according to the analysis item data item record value and the calibration item data record value, and obtain the coordinates Cg (DAg, DBg) of each data point on the change curve according to the analysis item data item record value and the calibration item data record value;

[0056] The specific method of drawing a curve chart of the change of calibration item data with the recorded value of the analysis item data item is:

[0057] The recorded values ​​of the analysis item data items are used as the horizontal coordinates of the two-dimensional coordinate system, and the recorded values ​​of the calibration item data items are used as the vertical coordinates, so as to obtain the coordinates Ca (EAa, EBa) of each data point on the change curve, and each data point is connected in sequence to obtain a change curve of the calibration item data with the recorded values ​​of the analysis item data items, where a refers to the sequence numbers corresponding to different data points on the change curve, a = 1, 2, ..., j;

[0058] The line segment between each two adjacent data points on the change curve is marked as a stage line segment. The slope corresponding to each stage line segment is calculated using the slope calculation formula according to the coordinates of the data points at both ends of each stage line segment. The specific method for obtaining the slope corresponding to each stage line segment is:

[0059] The slope is calculated by the formula ki=[EBa-EB(a-1)] / [EAa-EA(a-1)], where i refers to the number of corresponding stage segments on the change curve, and i=j-1;

[0060] The slope change rate calculation formula is used to calculate the change rate between the slopes of the line segments in each stage, and the change rate of the change curve is compared and analyzed with the preset interval. According to the analysis results, when the change rate belongs to the preset interval, it means that the slope changes between the line segments in each stage of the change curve are relatively uniform, and it can be judged that the trend of the calibration item data in the change curve changing with the recorded values ​​of the analysis item data items is relatively stable, and then it is determined that there is a correlation between the calibration item data and the analysis item data items, that is, the calibration item data is used as the related item of the analysis item data item, otherwise, no processing is performed;

[0061] The specific method for calculating the rate of change between the slopes is:

[0062] The slope change rate is calculated by the formula: The change rate BH between the slopes of the line segments in each stage is calculated, that is, the average of the absolute values ​​of the differences between the slopes of the line segments in each two adjacent stages is taken as the change rate BH between the slopes of the line segments in each stage;

[0063] The specific way to mark related items is:

[0064] Compare and analyze the change rate BH between the line segment slopes of each stage with the preset interval [Y1, Y2]. When the change rate BH belongs to the preset interval [Y1, Y2], it is judged that there is a correlation between the calibration item data and the analysis item data item, and then the calibration item data is regarded as the related item of the analysis item data item. When the change rate BH does not belong to the preset interval [Y1, Y2], it is judged that there is no correlation between the calibration item data and the analysis item data item, and then no processing is performed;

[0065] It should be noted that Y1 and Y2 are preset values, satisfying Y2>Y1>0, and the specific values ​​of Y1 and Y2 are formulated by relevant personnel according to actual needs;

[0066] S4: repeating steps S2-S3, analyzing each of the remaining data after removing the analysis item data item from the data items, thereby obtaining each related item of the analysis item data item, binding each related item of the analysis item data item with the analysis item data item, thereby obtaining a corresponding related item list of the analysis item data item, and taking the analysis item data item as the primary data item of the related item list;

[0067] S5: Repeat steps S1-S4 to obtain a list of related items corresponding to each data item;

[0068] Step 3: Analyze the number of related items in the related item list corresponding to each data, and obtain a judgment reference table based on the analysis results. The specific method is as follows:

[0069] Obtain the number of related items corresponding to each data from the related item lists corresponding to each data, and mark it as Fx, where x refers to different data items, that is, each data, and mark the related item list with the largest number of related items Fx as the determination reference table;

[0070] By analyzing the related items corresponding to each data, a list of related items corresponding to each data is obtained, and the list of related items with the largest number of related items is used as a determination reference table, so as to ensure that the determination reference table contains the largest number of related items, thereby further improving the reference of the determination reference table.

[0071] Embodiment 2

[0072] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the difference between the technical scheme of the present embodiment and the first embodiment is that in the present embodiment, by obtaining each data item in the judgment reference table and the primary data item in the judgment reference table, the primary data and each data item in the judgment reference table are analyzed, and the correlation calculation formula between the primary data in the judgment reference table and each data item is obtained according to the analysis result, and then after the inspection personnel record the inspection data of each data, according to the correlation calculation formula between the primary data in the judgment reference table and each data item, the theoretical record value corresponding to each data item is calculated, and the theoretical record value corresponding to each data item is analyzed with the actual record value, and the inspection record abnormal signal and abnormal data item are generated;

[0073] The specific method of obtaining the correlation calculation formula between the primary data in the determination reference table and each data item is:

[0074] S01: Select one of the data items in the determination reference table as a calculation data item;

[0075] Obtain the recorded values ​​of the primary data and the calculated data items in the jth historical patrol records, and mark them as MAj and MBj respectively;

[0076] Draw a scatter plot with the primary data as the horizontal coordinate and the calculated data as the vertical coordinate, obtain the ratio between the absolute value of the difference between the vertical coordinates of each two adjacent data points on the scatter plot and the absolute value of the difference between the horizontal coordinates, take the average of all ratios as the estimated coefficient between the calculated data item and the primary data, and then judge the positive or negative ratio between the difference between the vertical coordinates of the data points with the largest and smallest horizontal coordinates in the scatter plot and the difference between their horizontal coordinates. When the ratio between the two is positive, the estimated coefficient is used as the calculated coefficient V1 between the calculated data item and the primary data. When the ratio between the two is negative, the product of the estimated coefficient and negative one is used as the calculated coefficient V1 between the calculated data item and the primary data.

[0077] S02: Substitute the recorded values ​​MAj and MBj of the primary data and the calculated data item in the jth historical patrol record into the preset calculation formula: Qj=V1×MAj-MBj, obtain the values ​​corresponding to Qj in the jth historical patrol record, and use their average as the deviation value P1 corresponding to the calculated data item;

[0078] According to the calculation coefficient V1 between the calculated data item and the primary data and the deviation value P1 corresponding to the calculated data item, the correlation calculation formula W1=(FY-P1) / V1 between the primary data and the calculated data item in the determination reference table is obtained, where W1 is the theoretical recorded value of the calculated data item and FY is the recorded value of the primary data;

[0079] S03: Repeat the above steps S01-S02 to obtain the correlation calculation formula between the primary data in the reference table and each data item, Wx=(FY-Px) / Vx, where x refers to different data items;

[0080] After the inspectors record the inspection data of each data, they calculate the theoretical record value Wx corresponding to each data item according to the correlation calculation formula Wx=(FY-Px) / Vx between the primary data in the reference table and each data item;

[0081] Then, the actual recorded value JLx corresponding to each data item and the absolute value CZx of the difference between the theoretical recorded value and the actual recorded value corresponding to each data item are obtained, and the number n of values ​​whose absolute value of the difference CZx is greater than the preset value Y3 is obtained. When the number n is greater than the preset value Y4, an inspection record abnormal signal is generated, and the data item whose absolute value of the difference CZx is greater than the preset value Y3 is marked as an abnormal data item and output, otherwise, no processing is performed;

[0082] Y3 and Y4 are preset values, which are formulated by relevant personnel according to actual conditions and needs. Y4 is an integer value, and Y4≥2;

[0083] Through the correlation between the data, each record data is checked. When there are too many deviation items, the inspection record is judged to be abnormal, and an inspection record abnormal signal is generated. The inspection record abnormal signal and the abnormal data item are output simultaneously, which is conducive to the relevant personnel to conduct targeted verification and inspection of the abnormal data items and inspection records, and further determine whether there is data falsification or record falsification, improve the supervision of power line inspections, and reduce the possibility of false inspections, data falsification and record falsification to a certain extent.

[0084] Embodiment 3

[0085] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0087] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present 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. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for intelligent operation and maintenance inspection of power lines, characterized in that: The following steps are involved: Step 1: Analyze the historical inspection records of each data corresponding to each monitoring point to obtain a list of related items corresponding to each data; Step 2: Analyze the number of related items in the related item list corresponding to each data to obtain a determination reference table; Step 3: Analyze the primary data and each data item in the determination reference table, and obtain the correlation calculation formula between the primary data in the determination reference table and each data item according to the analysis result; Step 4: According to the correlation calculation formula between the primary data in the reference table and each data item, the theoretical record value corresponding to each data item is obtained, and the theoretical record value corresponding to each data item is analyzed with the actual record value to determine the generation of the inspection record abnormal signal; The specific method of obtaining the list of related items corresponding to each data is: S1: Randomly select one item from each data as the analysis item; S2: From the remaining data after removing the analysis item data item, select one data item as the calibration item number; S3: Obtain the record values ​​corresponding to the analysis item data items in the jth historical inspection records respectively; obtain the record values ​​corresponding to the calibration item data in the jth historical inspection records respectively for free; at the same time, j is used as the inspection number corresponding to each historical inspection record, j ≥ 1, and the record values ​​corresponding to the analysis item data items in the jth historical inspection records are sorted in order from small to large, and at the same time, according to the inspection numbers corresponding to the record values ​​of each analysis item data item after sorting, the record values ​​corresponding to the calibration item data in the jth historical inspection records are sorted accordingly; Draw a curve diagram of the change of the calibration item data with the analysis item data item record value according to the analysis item data item record value and the calibration item data record value, and obtain the coordinates of each data point on the change curve according to the analysis item data item record value and the calibration item data record value; The line segment between each two adjacent data points on the change curve is marked as a stage line segment, and the slope corresponding to each stage line segment is calculated using the slope calculation formula according to the coordinates of the data points at both ends of each stage line segment; The slope change rate calculation formula is used to calculate the change rate between the slopes of the line segments in each stage. When the change rate is within the preset interval, the calibration item data is used as the related item of the analysis item data item. Otherwise, no processing is performed. S4: repeating steps S2-S3, analyzing each of the remaining data after removing the analysis item data item from the data items, thereby obtaining each related item of the analysis item data item, binding each related item of the analysis item data item with the analysis item data item, thereby obtaining a corresponding related item list of the analysis item data item, and taking the analysis item data item as the primary data item of the related item list; S5: Repeat steps S1-S4 to obtain a list of related items corresponding to each data item; The specific method of obtaining the determination reference table according to the analysis results is: Obtain the number of related items corresponding to each data from the related item lists corresponding to each data, and mark it as Fx, where x refers to different data items, that is, each data, and mark the related item list with the largest number of related items Fx as the determination reference table; The specific method of obtaining the correlation calculation formula between the primary data in the determination reference table and each data item is: S01: Select one of the data items in the determination reference table as a calculation data item; First, obtain the recorded values ​​of the primary data and the calculated data items in the jth historical patrol records, draw a scatter plot with the primary data as the horizontal coordinate and the calculated data as the vertical coordinate, obtain the ratio between the absolute value of the difference between the vertical coordinates of each two adjacent data points on the scatter plot and the absolute value of the difference between the horizontal coordinates, and use the average of all ratios as the estimated coefficient between the calculated data item and the primary data; secondly, obtain the difference between the vertical coordinates and the horizontal coordinates of the data points with the largest and smallest horizontal coordinates in the scatter plot; finally, when the ratio between the two is positive, use the estimated coefficient as the calculated coefficient V1 between the calculated data item and the primary data; when the ratio between the two is negative, use the product of the estimated coefficient and negative one as the calculated coefficient V1 between the calculated data item and the primary data; S02: Substitute the recorded values ​​of the primary data and the calculated data items in the jth historical patrol records into the preset calculation formula for calculation and analysis, obtain the deviation number P1 corresponding to the calculated data item, and obtain the correlation calculation formula between the primary data and the calculated data item in the determination reference table according to the calculation coefficient V1 between the primary data, W1=(FY-P1) / V1, where W1 is the theoretical recorded value of the calculated data item, and FY is the recorded value of the primary data; S03: Repeat the above steps S01-S02 to obtain the correlation calculation formula between the primary data in the reference table and each data item, Wx=(FY-Px) / Vx, where x refers to different data items; The specific method for obtaining the deviation value corresponding to the calculated data item is: Substitute the recorded values ​​MAj and MBj of the primary data and the calculated data items in the jth historical patrol records into the preset calculation formula: Qj=V1×MAj-MBj, and obtain the values ​​corresponding to Qj in the jth historical patrol records, and use their average as the deviation value P1 corresponding to the calculated data item.

2. A method for intelligent operation and maintenance of power lines according to claim 1, characterized in that: The specific method of drawing a curve chart of the change of calibration item data with the recorded value of the analysis item data item is: The recorded values ​​of the analysis item data items are used as the horizontal coordinate of the two-dimensional coordinate system, and the recorded values ​​of the calibration item data are used as the vertical coordinate, so as to obtain the coordinates Ca (EAa, EBa) of each data point on the change curve, and each data point is connected in sequence to obtain a change curve of the calibration item data with the recorded values ​​of the analysis item data items, wherein a refers to the sequential numbers corresponding to different data points on the change curve, a = 1, 2, ..., j.

3. A method for intelligent operation and maintenance of power lines according to claim 2, characterized in that: The specific method of obtaining the slopes corresponding to the line segments in each stage is: The slope is calculated by the formula ki=[EBa-EB(a-1)] / [EAa-EA(a-1)], where i refers to the number of corresponding stage segments on the change curve diagram, and i=j-1.

4. A method for intelligent operation and maintenance of power lines according to claim 3, characterized in that: The specific method for calculating the rate of change between the slopes is: The average of the absolute values ​​of the differences between the slopes of each two adjacent stage line segments is taken as the rate of change BH between the slopes of the line segments in each stage.

5. The method for intelligent operation and maintenance of power lines according to claim 1, characterized in that: The specific method for determining the generation of patrol record abnormal signals is as follows: Obtain the absolute value of the difference between the theoretical record value and the actual record value corresponding to each data item, mark the number of values ​​whose absolute value of the difference is greater than the preset value Y3 as n, and when the number n is greater than the preset value Y4, generate a patrol record abnormal signal, otherwise, no processing is done, where Y3 and Y4 are both preset values.

6. A method for intelligent operation and maintenance inspection of power lines according to claim 5, characterized in that: Data items whose absolute difference values ​​are greater than the preset value Y3 are marked as abnormal data items and output.

Images