An electric power data mining processing system and method

Abstract

The present application relates to a kind of electric power data mining processing system and method, belong to electric power data mining field.The electric power data mining processing system, including multiple hanging on strain tower strain insulator string, detector and data mining processing server;The strain insulator string contains at least 2 left side sub string and right side sub string in parallel;Strain insulator string includes hanging ring, joint plate and multiple insulator pieces;The number of strain insulator string is equal to the number of detector;The detector is installed at the bottom of joint plate side to insulator piece;Detector and data mining processing server are communicatively connected.The present application improves the detection precision and monitoring level of the dirt on the upper surface and lower surface of the insulator of strain insulator string, while improving the reliability of power system operation.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of power data mining, and particularly relates to a power data mining processing system and method. BACKGROUND

[0002] The insulators of power transmission lines and substations gradually deposit a layer of contamination from air pollution and ground dust on the surface, which contains conductive salt electrolyte. When encountering humid weather such as typhoon and snow, the surface contamination of the insulator absorbs water, causing the electrolyte in the contamination layer to dissolve and ionize, resulting in an increase in the surface leakage current of the insulator. When the surface electric field strength of the insulator is large enough, partial discharge will occur, and even change into partial arc. When the partial arc reaches a critical state, the arc penetrates the two poles, causing flashover.

[0003] In order to avoid the occurrence of power grid pollution flashover accidents, it is necessary to detect the surface contamination degree and insulation level of the insulator to determine whether to clean or replace the porcelain insulator. However, the traditional detection method needs to detect the insulator offline during power failure, which is difficult to implement and has poor real-time performance, affecting the normal and safe operation of the power grid.

[0004] The commonly used power system transmission and transformation equipment anti-pollution monitoring method is equivalent salt density measurement and leakage current monitoring.

[0005] The biggest advantage of the equivalent salt density measurement method is intuitive and easy to understand, but it also has the following problems:

[0006] 1. The equivalent salt density method needs to remove the insulator from the tower to the ground or even to the laboratory for measurement. During the removal or transportation process, the contamination on the surface of the insulator will inevitably be partially lost due to scratching, resulting in inaccurate measurement results.

[0007] 2. The equivalent salt density method needs to clean the contamination on the surface of the insulator, which is a destructive test method and cannot monitor the contamination characteristics of the same insulator for a long time.

[0008] 3. The equivalent salt density method needs to measure the salt density by stopping the power supply of the line or substation, which consumes a lot of manpower and material resources.

[0009] 4. The equivalent salt density method has equivalence problems.

[0010] The online leakage current monitoring method works by collecting leakage current along the surface of insulators using a special current-diverting device. It measures the leakage current of insulator strings on transmission lines in real time and calculates the peak-to-average value, peak-to-maximum value, and number of high-current pulses over a given period. A combination of wireless and wired transmission is used to upload the data to a central data analysis station. Expert knowledge and self-learning algorithms are employed for comprehensive data analysis, and the pollution status of insulators in different pollution zones is assessed. However, the following problems exist: 1) The leakage current method has high environmental requirements, requiring relative humidity above 75%, making it unsuitable for northern regions; 2) Rainwater can terminate the generation of pulse currents in insulators, so testing with the leakage current method cannot be conducted in rain; 3) Considering the strong electromagnetic radiation within substations, the leakage current method is also unsuitable for determining or verifying the pollution level of insulators within substations; 4) The leakage current method cannot monitor accurate real-time salt density data.

[0011] Furthermore, regardless of whether it's the equivalent salt density measurement method or the leakage current monitoring method, the main research object is... Figure 1 The suspension insulator string shown has insulators arranged vertically, and the dirt on the surface of the insulators is relatively uniform. However, as... Figure 2 As shown, in power systems, both substation outgoing towers and tension towers in the middle of transmission lines are equipped with a large number of tension insulator strings. The insulators of the tension insulator strings are not arranged vertically, but at an angle to the vertical direction. Therefore, the distribution of dirt on the upper and lower surfaces of the insulators of the tension insulator strings is uneven. At present, there is a lack of research on the detection of dirt on the upper and lower surfaces of the insulators of tension insulator strings. Summary of the Invention

[0012] The purpose of this invention is to provide a power data mining and processing system and method to improve the detection accuracy and monitoring level of contaminants on the upper and lower surfaces of tension insulator strings, thereby improving the operational reliability of the power system.

[0013] A power data mining and processing system includes multiple tension insulator strings, detectors, and a data mining and processing server mounted on a tension tower.

[0014] The tension insulator string comprises at least two parallel left substrings and right substrings;

[0015] A tension insulator string consists of a hanging ring, a connecting plate, and multiple insulator discs;

[0016] The number of tension insulator strings is equal to the number of detectors;

[0017] The detector is installed at the bottom of the joint plate on the side of the insulator sheet;

[0018] The detector is in communication connection with a data mining processing server.

[0019] Optionally, a storage battery is arranged in the detector.

[0020] Optionally, a solar panel, a solar controller and a storage battery are arranged on the strain tower, the output end of the solar panel or the storage battery is connected to and charges the storage battery, and the output end of the solar controller is connected to the charging end of the storage battery.

[0021] Optionally, the data of the strain insulator string is N, and the axis of the joint plate along the direction from the left string to the right string is the center line, which divides the insulator sheet into an upper surface and a lower surface.

[0022] The overlapping surface of the projection of the detector toward the left string and the left string is the left detection area, and the overlapping surface of the projection of the detector toward the right string and the right string is the right detection area.

[0023] Optionally, the detector detects at least one point on the upper surface and the lower surface in the left detection area, and detects at least one point on the upper surface and the lower surface in the right detection area.

[0024] Optionally, LU i is the data of the detection point on the upper surface in the left detection area of the i-th strain insulator string, and the mean and variance of the N upper surface detection point data LU i are μ1 and σ1, respectively.

[0025] LD i is the data of the detection point on the lower surface in the left detection area of the i-th strain insulator string, and the mean and variance of the N lower surface detection point data LD i are μ2 and σ2, respectively.

[0026] RU i is the data of the detection point on the upper surface in the right detection area of the i-th strain insulator string, and the mean and variance of the N upper surface detection point data RU i are μ3 and σ3, respectively.

[0027] RD i is the data of the detection point on the lower surface in the right detection area of the i-th strain insulator string, and the mean and variance of the N lower surface detection point data RD i are μ4 and σ4, respectively.

[0028] i and N are positive integers, and i is less than or equal to N.

[0029] Optionally, for any strain insulator string i, LD i <LU iWhen the first threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0030] For any tension insulator string i, RD i < RU i When the first threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0031] Optionally, for any tension insulator string i, LD i < LU i When the first threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0032] For any tension insulator string i, RD i < RU i When the second threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0033] Optionally, for any tension insulator string i, LD i When the first threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0034] When the third threshold value is reached, the data mining processing server sends a warning message to the dispatching or maintenance module.

[0035] Optionally, the distance between the upper surface detection point of the left detection area and the upper surface detection point of the right detection area is taken as the first distance, and the distance between the lower surface detection point of the left detection area and the lower surface detection point of the right detection area is taken as the second distance, and the first distance is smaller than the second distance.

[0036] Beneficial technical effects:

[0037] First, the detection precision and monitoring level of the dirt on the upper and lower surfaces of the tension insulator string are improved, and the operation reliability of the power system is improved.

[0038] Second, the timeliness of the detection of the dirt on the upper and lower surfaces of the tension insulator string is improved.

[0039] Third, the detection interference is eliminated, and the data mining stability is improved. BRIEF DESCRIPTION OF DRAWINGS

[0040] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a better understanding of the preferred embodiments, and are not to be considered as limiting of the application. Moreover, in the drawings, like reference numerals refer to similar components throughout the several views. In the drawings:

[0041] Figure 1Fig. 1 is a schematic diagram of a prior art power system insulator string.

[0042] Figure 2 Fig. 2 is a schematic diagram of a prior art power system strain tower insulator string.

[0043] Figure 3 Fig. 3 is a schematic diagram of a prior art power system strain section insulator string.

[0044] Figure 4 Fig. 4 is a schematic diagram of a prior art power system strain insulator string. Figure 3 Fig. 5 is a side view of a prior art power system strain insulator string.

[0045] Figure 5 Fig. 6 is a schematic diagram of a prior art power system strain insulator string. Fig. 7 is a schematic diagram of a prior art power system strain insulator string.

[0046] Fig. 8 is a schematic diagram of a prior art power system strain insulator string. Figure 6 Fig. 9 is a schematic diagram of a prior art power system strain insulator string. Figure 5 Fig. 10 is a schematic diagram of a prior art power system strain insulator string. Fig. 11 is a schematic diagram of a prior art power system strain insulator string.

[0047] Fig. 12 is a schematic diagram of a prior art power system strain insulator string. Figure 7 Fig. 13 is a schematic diagram of a prior art power system strain insulator string. DETAILED DESCRIPTION

[0048] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0049] It should be noted that in this document, the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a list of elements not only includes those elements, but also includes other elements not explicitly listed, or inherent to such a process, method, article or device. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or device that includes the element.

[0050] Embodiment 1

[0051] The power data mining processing system includes a plurality of strain insulator strings hung on a strain tower, a detector 104 and a data mining processing server.

[0052] The strain insulator string includes at least two parallel sub-strings.

[0053] Optionally, the number of parallel sub-strings is not limited, for example, 4 sub-strings in parallel, 6 sub-strings in parallel, 8 sub-strings in parallel, etc.

[0054] The strain insulating sub-string comprises at least two left and right sub-strings in parallel.

[0055] The strain insulating sub-string comprises a suspension ring 100, a connecting plate 101 and a plurality of insulating sub-pieces 102.

[0056] Optionally, the number of strain insulating sub-strings corresponds to the number of detectors 104, i.e. the number of strain insulating sub-strings is equal to the number of detectors 104.

[0057] Optionally, the detector 104 and the data mining processing server are in communication connection.

[0058] Preferably, the detector 104 and the data mining processing server are in wireless communication connection, and it is understood that the detector 104 and the data mining processing server are respectively provided with wireless communication modules.

[0059] Optionally, the data mining processing server is arranged in a dispatch center or a power control center or a power control center.

[0060] Optionally, the wireless communication module adopts a GPRS communication protocol or a 3G communication protocol or a 4G communication protocol or a 5G communication protocol.

[0061] Optionally, the detector 104 can actively collect the salt density, the ash density, the air temperature and the relative humidity at the strain tower at a set sampling period, and store the same, and simultaneously transmit the measurement results to the data mining processing server through a communication network; the detector 104 has a controlled collection function, and can respond to a remote instruction to start collection according to a set collection mode, an automatic collection time, a collection time interval and a collection point number; the detector 104 can output the salt density, the ash density, the air temperature, the relative humidity, the power voltage, the working temperature, the alarm signal, the device heartbeat packet, the response information, the communication connection state and other data according to the period set by the host; the detector 104 meets the requirements of the communication interface part of the general technical specification of the intelligent monitoring device for overhead transmission lines of the power system; the detector 104 has the functions of identity authentication and remote program updating, and has a perfect updating mechanism and mode; the detector 104 can modify the collection frequency, the sampling time interval, the IP address (when the state monitoring device directly transmits data to the state monitoring system), the network card address (when the state monitoring device transmits data to the state monitoring proxy device), the port number and other parameters according to the remote instruction of the data mining processing server; the detector 104 has the ability to dynamically respond to the remote time query / set, data request, restart and other instructions.

[0062] Optionally, the detector 104 is provided with a storage battery.

[0063] Optionally, a solar panel, a solar controller and an energy storage battery are arranged on the strain tower, the solar panel or the energy storage battery is connected to the output terminal of the storage battery and charges the storage battery.

[0064] It can be understood that one end of the strain insulator string is hung on the iron tower through a hanging ring 100, and the other end of the strain insulator string is connected to the strain clamp 103 through another hanging ring 100.

[0065] It can be understood that the conductor and the jumper are respectively connected to the two ends of the strain clamp 103.

[0066] Preferably, referring to Figure 5 and Figure 6 , the power data mining processing system includes N strain insulator strings, and the middle line of the axis of the string board 101 along the direction from the left string to the right string divides the insulator sheet 102 into an upper surface and a lower surface. Since the insulators of the strain insulator string are not arranged in the vertical direction, the arrangement direction of the insulators of the strain insulator string has an inclination angle with the vertical direction, and thus the contamination distribution of the upper surface and the lower surface of the insulators of the strain insulator string is uneven.

[0067] The detector 104 is installed at the bottom of the string board 101 close to the insulator sheet 102.

[0068] The overlapping surface of the projection of the detector 104 toward the left string with the left string is the left detection area, and the overlapping surface of the projection of the detector 104 toward the right string with the right string is the right detection area.

[0069] The detector 104 detects at least one point on the upper surface and the lower surface of the left detection area, and detects at least one point on the upper surface and the lower surface of the right detection area.

[0070] Optionally, the LU i is the upper surface detection point data of the left detection area in the i-th strain insulator string, and the mean and variance of the N upper surface detection point data LU i are μ1 and σ1, respectively.

[0071] The LD i is the lower surface detection point data of the left detection area in the i-th strain insulator string, and the mean and variance of the N lower surface detection point data LD i are μ2 and σ2, respectively.

[0072] The RU i is the upper surface detection point data of the right detection area in the i-th strain insulator string, and the mean and variance of the N upper surface detection point data RU i are μ3 and σ3, respectively.

[0073] RD i is the mean value of the N lower surface detection point data RD i and the variance is σ4.

[0074] i and N are positive integers, and i is less than or equal to N.

[0075] Optionally, the detector 104 has a plurality of light guide emitters and light guide receivers, the light guide emitters emit light waves to the surface detection points of the left detection area or the right detection area, and the light guide receivers receive the reflected light intensity of the surface detection points of the left detection area or the right detection area as detection point data. The data mining processing server calculates the ash density value and / or the salt density value of the different detection areas of the insulator surface according to the data model between the ash density, the salt density, the light energy parameter, the humidity and / or the time in the historical contamination database of the insulator surface.

[0076] Optionally, the detector 104 has a plurality of camera modules, the camera modules take images of the surface detection points of the left detection area or the right detection area as detection point data, and the data mining processing server calculates the ash density value and / or the salt density value of the different detection areas of the insulator surface according to the data model between the ash density, the salt density, the light energy parameter, the humidity and / or the time in the historical contamination database of the insulator surface image grayscale.

[0077] Optionally, for any tension insulator string i, LD i <LU i , i.e., the lower surface contamination degree of the left detection area is less than the upper surface contamination degree, indicating that the insulator surface contamination degree of the tension insulator string i is abnormal, and the data mining processing server sends a warning information to the dispatching or maintenance module.

[0078] Optionally, for any tension insulator string i, RD i <RU i , i.e., the lower surface contamination degree of the right detection area is less than the upper surface contamination degree, indicating that the insulator surface contamination degree of the tension insulator string i is abnormal, and the data mining processing server sends a warning information to the dispatching or maintenance module.

[0079] Optionally, for any tension insulator string i, LD i -LU i > the first threshold value, i.e., the difference between the lower surface contamination degree and the upper surface contamination degree of the left detection area exceeds the set first threshold value, indicating that the lower surface contamination degree of the insulator of the tension insulator string i is abnormal or there is a risk of pollution flashover, and the data mining processing server sends a warning information to the dispatching or maintenance module.

[0080] Optionally, for any tension insulator string i, RDi - RU i When the second threshold is exceeded, i.e. the difference between the lower surface contamination degree and the upper surface contamination degree of the right detection area exceeds the set second threshold, it indicates that the lower surface contamination degree of the insulator of the insulator string i is abnormal or there is a risk of pollution flashover, and the data mining processing server sends warning information to the dispatching or maintenance module.

[0081] Optionally, for any tension insulator string i, LD i When μ1 is less than the average of the upper surface contamination degree, it indicates that the surface contamination degree of the insulator of the insulator string i is abnormal, and the data mining processing server sends early warning information to the dispatching or maintenance module.

[0082] Optionally, for any tension insulator string i, RD i When μ3 is less than the average of the upper surface contamination degree, it indicates that the surface contamination degree of the insulator of the insulator string i is abnormal, and the data mining processing server sends early warning information to the dispatching or maintenance module.

[0083] Optionally, when σ2-σ1> the third threshold, i.e. the deviation between the lower surface contamination degree and the upper surface contamination degree of the left detection area exceeds the set third threshold, it indicates that the upper surface or lower surface contamination degree of the insulator of the insulator string is abnormal or there is a risk of pollution flashover, and the data mining processing server sends warning information to the dispatching or maintenance module.

[0084] Optionally, when σ4-σ3> the fourth threshold, i.e. the deviation between the lower surface contamination degree and the upper surface contamination degree of the right detection area exceeds the set fourth threshold, it indicates that the upper surface or lower surface contamination degree of the insulator of the insulator string is abnormal or there is a risk of pollution flashover, and the data mining processing server sends warning information to the dispatching or maintenance module.

[0085] Optionally, for any tension insulator string i, LD i When μ4> the fifth threshold, i.e. the average of the lower surface contamination degree of the left detection area and the lower surface contamination degree of the right detection area is unbalanced, it indicates that the surface contamination degree of the insulator of the insulator string i is abnormal, and the data mining processing server sends early warning information to the dispatching or maintenance module.

[0086] Optionally, for any tension insulator string i, RD i When μ2> the sixth threshold, i.e. the average of the lower surface contamination degree of the left detection area and the lower surface contamination degree of the right detection area is unbalanced, it indicates that the surface contamination degree of the insulator of the insulator string i is abnormal, and the data mining processing server sends early warning information to the dispatching or maintenance module.

[0087] Optionally, the line connecting the upper surface detection point of the left detection area and the upper surface detection point of the right detection area is not parallel to the said center line, so as to eliminate the influence of random factors and improve the stability of data mining.

[0088] Optionally, the line connecting the left detection area lower surface detection point and the right detection area lower surface detection point is not parallel to the midline, so as to eliminate the influence of random factors and improve the data mining stability.

[0089] Optionally, the distance between the left detection area upper surface detection point and the right detection area upper surface detection point is taken as a first distance, the distance between the left detection area lower surface detection point and the right detection area lower surface detection point is taken as a second distance, and the first distance is smaller than the second distance, so as to eliminate the influence of detection interference and improve the data mining stability.

[0090] The detector 104 is used for on-line real-time detection and remote data transmission of the contamination degree and environmental parameters of the strain insulator string, and the insulator level is obtained through calculation and analysis, so as to truly reflect the contamination condition of the external insulation of the electrical equipment in operation, study the contamination accumulation process, judge the time when the contamination reaches a dangerous value, summarize a reasonable alarm value, accurately divide the contamination grade, timely revise the pollution area distribution map, and provide a scientific basis for the on-site anti-pollution measures, so as to promote the transformation of the power system from planned maintenance to condition-based maintenance, and is an important means to prevent the occurrence of power grid pollution flashover accidents.

[0091] The detector 104 is not affected by the outside environment and can be applied in various environments in a wide region of China; the method does not need to stop power monitoring and can automatically obtain monitoring data remotely; the method adopts a real-time on-line mode, has low loss and high measurement accuracy, and can measure accurate salt density values, so as to guide the state cleaning, operation, maintenance and scheduling of the power transmission and transformation equipment; the method can obtain the unsaturated salt density of the power transmission and transformation equipment, and is an intelligent and large-scale real-time salt density monitoring system, which can assist the power department in drawing a pollution area distribution map; the technology is improved on the basis of the previous detection method, has a large amount of previous test data, and overcomes the shortcomings of the previous domestic mainstream detection methods in operation and monitoring mode, and the requirements of customers cannot be met by the previous traditional detection methods, and the method can accurately detect the different contamination degrees of the upper surface and lower surface of the strain insulator string.

[0092] Example 2

[0093] This embodiment is an improvement based on example one.

[0094] Reference Figure 7The upper end of the detector 104 is provided with a left mounting plate 1041 and a right mounting plate 1042, the left mounting plate 1041 and the right mounting plate 1042 are respectively provided with assembly holes, the distance between the left mounting plate 1041 and the right mounting plate 1042 is equal to the width of the web plate 101, after the web plate 101 is inserted into the gap between the left mounting plate 1041 and the right mounting plate 1042, the detector 104 is assembled with the web plate 101 by using bolts to pass through the assembly holes on the left mounting plate 1041 and the right mounting plate 1042 and the mounting holes 1011 on the web plate 101.

[0095] Embodiment 3

[0096] This embodiment is an improvement based on the embodiment 1 or the embodiment 2.

[0097] A method for using a power data mining processing system, comprising a power data mining processing system, the method comprising the following steps:

[0098] For any tension insulator string i, the detector 104 detects at least one point on the upper surface and the lower surface of the left detection area; the detector 104 detects at least one point on the upper surface and the lower surface of the right detection area;

[0099] The detector 104 transmits the detection data to a data mining processing server;

[0100] The data mining processing server analyzes the upper surface and the lower surface data of the tension insulator string according to the detection data and issues a pre-warning or warning information.

[0101] The method can integrate the assembly and work of each embodiment, and the present application is not limited.

[0102] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been described in the above description in general terms. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0103] It should be noted that the sequence numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

[0104] The above merely describes the preferred embodiments of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, each embodiment or scheme can be combined arbitrarily, and are also included in the patent protection scope of the present application.

Claims

1. A power data mining processing system, characterized in that, it comprises a plurality of strain insulator strings, detectors and a data mining processing server hung on a strain tower; the strain insulator string comprises at least two parallel left and right sub-strings; the strain insulator string comprises a hanging ring, a connecting plate and a plurality of insulator pieces; the number of strain insulator strings is equal to the number of detectors; the detector is installed at the bottom of the connecting plate on the side of the insulator piece; the detector and the data mining processing server are in communication connection; the number of strain insulator strings is N, and the axis of the connecting plate along the direction from the left sub-string to the right sub-string is the center line, which divides the insulator piece into an upper surface and a lower surface; the overlapping area of the projection of the detector towards the left sub-string and the left sub-string is the left detection area, and the overlapping area of the projection of the detector towards the right sub-string and the right sub-string is the right detection area; LU i For the i-th tension insulator string, the mean and variance of the N upper surface detection point data LU i of the left detection area are μ1 and σ1, respectively. LD i LDi is the data of the lower surface detection point of the left detection zone in the i-th tension insulator string i The mean and variance of the N lower surface detection point data LD are μ2 and σ2, respectively RU i For the i-th tension insulator string, the mean and variance of the N upper surface detection point data RU i are μ3 and σ3, respectively. RD i RD is the mean and σ4 is the variance of the N lower surface detection point data RD of the ith tension insulator string i of the ith tension insulator string, and the mean and variance of the N lower surface detection point data RD i and N are positive integers, and i is less than or equal to N; For any tension insulator string i, LD i <LU i When, the data mining processing server sends early warning information to the dispatching or maintenance module; For any tension insulator string i, RD i <RU i When, the data mining processing server sends early warning information to the dispatching or maintenance module; For any tension insulator string i, LD i -LU i > first threshold, the data mining processing server sends a warning message to the dispatch or maintenance module; For any tension insulator string i, RD i - RU i When the second threshold is exceeded, the data mining processing server sends a warning message to the dispatch or maintenance module. For any tension insulator string i, LD i When μ1, the data mining processing server sends a warning message to the dispatching or maintenance module; when σ2-σ1>the third threshold value, the data mining processing server sends warning information to the dispatching or maintenance module.

2. The power data mining processing system of claim 1, characterized in that, a storage battery is arranged in the detector.

3. The electric power data mining processing system of claim 2, wherein, A solar panel, a solar controller and an energy storage battery are arranged on the strain tower, the output end of the solar panel or the energy storage battery is connected to and charges the storage battery, and the output end of the solar controller is connected to the charging end of the storage battery.

4. The power data mining processing system of claim 1, characterized in that, the detector detects at least one point on the upper surface and the lower surface of the left detection area, and at least one point on the upper surface and the lower surface of the right detection area.

5. The electric power data mining processing system of claim 1, wherein, The distance between the detection points on the upper surface of the left detection area and the upper surface of the right detection area is the first distance, and the distance between the detection points on the lower surface of the left detection area and the lower surface of the right detection area is the second distance, and the first distance is less than the second distance.

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