Effective data identification method and system for overhead line monitoring terminal

Abstract

The invention discloses an effective data identification method and system for an overhead line monitoring terminal, and belongs to the technical field of power systems. Comprising the steps that S1, monitoring terminals are installed on three-phase wires of an overhead line respectively and used for collecting monitoring data, and the monitoring data comprise one or more of the wire temperature, the environment temperature, the wire current, the sunlight intensity and the environment wind speed; and S2, identifying the monitoring data by adopting a plurality of judgment conditions, judging whether at least one of the judgment conditions indicates that the monitoring data is abnormal or not, if so, judging that the monitoring data is abnormal data, and outputting alarm information, and if not, judging that the monitoring data is effective data. The technical scheme has the beneficial effects that the effective range of the data acquired by the monitoring terminal is determined, the abnormal data acquired by the monitoring terminal can be effectively identified, the original data used for evaluating the dynamic capacity increasing capacity of the power transmission line is ensured to be completely credible and reliable, and the practicability of the dynamic capacity increasing technology is favorably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to an effective data identification method and system for an overhead line monitoring terminal. Background Art

[0002] With the development of the economy and the increase in population, the demand for electricity has shown a steady growth trend. Existing transmission lines can no longer meet this rapidly growing demand, so measures need to be taken to increase transmission capacity. New transmission lines require a lot of land, consume a lot of resources, and also face challenges in terms of environmental protection and social impact. Through dynamic capacity expansion technology, the demand for new transmission lines can be postponed to a certain extent, reducing dependence on new transmission corridors and reducing investment in new facilities. Dynamic capacity expansion technology can better adapt to the operation needs of the power system, improve the flexibility and reliability of the power grid, better respond to power grid load changes, fault recovery, etc., and improve the stability and power supply capacity of the power system.

[0003] The dynamic capacity expansion system of transmission lines usually consists of three parts: dynamic capacity expansion monitoring terminal, wireless communication network and system center master station. The monitoring terminal is mounted on the transmission line. On average, one monitoring terminal is installed every 10 kilometers. Each monitoring terminal includes three units, which are installed on the three-phase conductors of the transmission line A, B and C. It is responsible for collecting the operating parameters and environmental parameters of the transmission line (including one or more of the monitoring elements such as ambient temperature, conductor temperature, sunshine intensity, conductor current, ambient wind speed, etc.), and sending the collected data to the central master station through the wireless communication network, where the dynamic capacity expansion capacity evaluation and analysis results of the transmission line are performed. The accuracy and reliability of the dynamic capacity expansion capacity calculation results will directly affect the decision-making of the power dispatching department and the operation safety of the line. If the calculation results are wrong, it may cause major safety accidents and large-scale power outages. Therefore, the dynamic capacity expansion capacity calculation results must be strictly guaranteed to be accurate and reliable. The accuracy and reliability of the dynamic capacity expansion capacity calculation results depend entirely on whether the original collection data provided by the dynamic capacity expansion monitoring terminal is accurate enough.

[0004] In the prior art, due to abnormalities in the dynamic capacity expansion monitoring terminal itself (terminal failure, sensor damage, etc.) or abnormalities in the wireless communication network (network fluctuations, delays, packet loss, interference), the data uploaded by the monitoring terminal may be abnormal (i.e., invalid data). Therefore, before evaluating the dynamic capacity expansion capability, measures should be taken to correctly identify and remove abnormal data from all data uploaded by the monitoring terminal, and retain valid data. The existence of abnormal data will lead to an incorrect assessment of the dynamic capacity expansion capability, which will bring huge risks to the dispatching work and safe operation of the power grid. However, the dynamic capacity expansion systems currently on the market do not have a complete abnormal data identification function, and lack an effective method for identifying abnormal dynamic capacity expansion data. Summary of the invention

[0005] The purpose of the present invention is to provide an effective data identification method for an overhead line monitoring terminal to solve the above technical problems;

[0006] The present invention also aims to provide an effective data identification system for an overhead line monitoring terminal to solve the above technical problems;

[0007] An effective data identification method for an overhead line monitoring terminal comprises:

[0008] Step S1, installing monitoring terminals on three-phase conductors of the overhead line respectively, wherein the monitoring terminals are used to collect monitoring data, wherein the monitoring data includes one or more of conductor temperature, ambient temperature, conductor current, sunshine intensity, and ambient wind speed;

[0009] Step S2, using several determination conditions for identifying the effective data of the dynamic capacity increase of the overhead line to identify the monitoring data, and judging whether there is at least one of the determination conditions indicating that the monitoring data is abnormal. If so, the monitoring data is judged to be abnormal data and an alarm message is output; if not, the monitoring data is judged to be the valid data.

[0010] Preferably, the determination conditions in step S2 include:

[0011] Condition a, determining whether the monitoring data exceeds a set effective range; and / or,

[0012] Condition b, determining whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than a first set threshold; and / or,

[0013] Condition c: determining whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold; and / or,

[0014] Condition d: determining whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row; and / or,

[0015] Condition e: determining whether the difference between the wire temperature and the ambient temperature is less than a third set threshold.

[0016] Preferably, the monitoring data in conditions a and d include the conductor temperature, the ambient temperature, the conductor current, the sunshine intensity and the ambient wind speed;

[0017] The valid range in condition a includes the valid range of the wire temperature [T cL ,T cH ];

[0018] Among them, TcL Indicates the lower limit of the effective range of the wire temperature, T cH Indicates the upper limit of the effective range of the wire temperature;

[0019] T cL The calculation formula is as follows,

[0020] T cL =k1×T a(low) ;

[0021] Wherein, k1 represents the first preset safety factor, 1.0<k1<1.4, T a(low) Indicates the lowest value of the local ambient temperature within ten years;

[0022] T cH The calculation formula is as follows,

[0023] T cH =k2×T c(lim) ;

[0024] Wherein, k2 represents the second preset safety factor, 1.1<k2<1.5, T c(lim) Indicates the maximum allowable temperature value of the conductor;

[0025] The effective range of condition a also includes the effective range of the ambient temperature [T aL ,T aH ];

[0026] Among them, T aL Indicates the lower limit of the effective range of the ambient temperature, T aH Indicates the upper limit of the valid range of the ambient temperature;

[0027] T aL The calculation formula is as follows,

[0028] T aL =k3×T a(low) ;

[0029] Wherein, k3 represents the third preset safety factor, 1.0<k3<1.4, T a(low) Indicates the lowest value of the local ambient temperature within ten years;

[0030] T aH The calculation formula is as follows,

[0031] T aH =k4×T a(high) ;

[0032] Wherein, k4 represents the fourth preset safety factor, 1.1<k4<1.5, T a(high) Indicates the highest value of the local ambient temperature within ten years;

[0033] The effective range of condition a also includes the effective range of the conductor current [I cL ,I cH ];

[0034] Among them, I cL Indicates the lower limit of the effective range of the conductor current, I cL =0A, I cH Indicates the upper limit of the effective range of the conductor current;

[0035] I cH The calculation formula is as follows,

[0036] I cH =k5×I c(lim) ;

[0037] Wherein, k5 represents the fifth preset safety factor, 1.5<k5<3, I c(lim) Indicates the rated current carrying capacity of the conductor;

[0038] The effective range of condition a also includes the effective range of the sunshine intensity during a specific period of the day [J sL1 ,J sL1 ], the specific time period during the day is 04:00~20:00;

[0039] Among them, J sL1 Indicates the lower limit of the effective range of the specific period of daytime, J sL1 =0W / m 2 , J sH1 Indicates the upper limit of the valid range of the specific time period during the day;

[0040] J sH1 The calculation formula is as follows,

[0041] J sH1 =k6×J s1(high) ;

[0042] Wherein, k6 represents the sixth preset safety factor, 1.1<k6<1.5, J s1(high) Indicates the maximum value of the local sunshine intensity within ten years;

[0043] The effective range of condition a also includes the effective range of the sunshine intensity at a specific time period at night [J sL2 ,J sH2 ], the specific time period at night is 20:00~04:00;

[0044] Among them, J sL2 Indicates the lower limit of the effective range of the specific period of night, J sL2 =0W / m 2 , J sH2represents the upper limit of the effective range of the specific period of night, J sH2 =100W / m 2 ;

[0045] The effective range of condition a also includes the effective range of the ambient wind speed [V fL ,V fH ];

[0046] Among them, V fL Represents the lower limit of the effective range of the ambient wind speed, V fL =0W / m 2 , V fH Indicates the upper limit of the effective range of the ambient wind speed;

[0047] V fH The calculation formula is as follows,

[0048] V fH =k7×V f(high) ;

[0049] Wherein, k7 represents the seventh preset safety factor, 1.2<k7<1.8, V f(high) Indicates the maximum value of the local ambient wind speed within ten years.

[0050] Preferably, the monitoring data in condition b includes the conductor temperature, the ambient temperature and the sunshine intensity;

[0051] The first set threshold value of condition b includes the first set threshold value ΔBAD of the wire temperature th1 , ΔBAD th1 =10, for the three monitoring terminals at the same installation location, the temperatures of the corresponding wires are T cA 、T cB 、T cC , the absolute deviation calculation formula of the conductor temperature is:

[0052] BAD1=T ci -μ1(i=A,B,C);

[0053] Wherein, BAD1 represents the absolute deviation of the wire temperature, T ci represents the conductor temperature of the i-th phase conductor, μ1 represents the first calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0054] The calculation formula of μ1 is,

[0055] μ1=(T cA +T cB +T cC ) / 3;

[0056] Among them, TcA 、T cB 、T cC Respectively represent the temperatures of the three-phase conductors;

[0057] The first set threshold value of condition b also includes the first set threshold value ΔBAD of the ambient temperature th2 , ΔBAD th2 =5, for the three monitoring terminals at the same installation location, the corresponding ambient temperatures are T aA 、T aB 、T aC , the absolute deviation calculation formula of the ambient temperature is:

[0058] BAD2=T ai -μ2(i=A,B,C);

[0059] Wherein, BAD2 represents the absolute deviation of the ambient temperature, T ai represents the ambient temperature of the i-th phase conductor, μ2 represents the second calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0060] The calculation formula of μ2 is,

[0061] μ2=(T aA +T aB +T aC ) / 3;

[0062] Among them, T aA 、T aB 、T aC Respectively represent the ambient temperatures of the three-phase conductors;

[0063] The first set threshold value of condition b also includes the first set threshold value ΔBAD of the sunshine intensity th3 , ΔBAD th3 =300, for the three monitoring terminals at the same installation location, the corresponding sunshine intensities are J sA , J sB , J sC , the absolute deviation calculation formula of the sunshine intensity is:

[0064] BAD3=J si -μ3(i=A,B,C);

[0065] Wherein, BAD3 represents the absolute deviation of the sunshine intensity, J si represents the sunshine intensity of the i-th phase conductor, μ3 represents the third calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0066] The calculation formula of μ3 is,

[0067] μ3=(J sA +J sB +J sC ) / 3;

[0068] Among them, J sA , J sB , J sC Respectively represent the sunshine intensity of the three-phase conductors.

[0069] Preferably, the absolute median difference ratio of the monitoring data to the data set in condition c is obtained by the following steps:

[0070] Calculate the median of the data set collected by all the monitoring terminals;

[0071] Calculate the absolute value of the deviation between each data in the data set and the median of the data set to obtain an absolute deviation data array;

[0072] Calculate the median of the absolute deviation data array and multiply it by 1.4826 to obtain the absolute median difference;

[0073] Calculating the ratio of each element of the absolute deviation data array to the absolute median difference;

[0074] The monitoring data in condition c includes the conductor temperature, the ambient temperature and the conductor current.

[0075] Preferably, the third set threshold in condition e is 2°C to 3°C;

[0076] The alarm information in step S2 includes the number, installation location, line, abnormal data time, abnormal data value and reason for data abnormality of the monitoring terminal.

[0077] An effective data identification system for an overhead line monitoring terminal, comprising:

[0078] The raw data port module is used to receive monitoring data collected by a monitoring terminal installed on a three-phase conductor of an overhead line;

[0079] A validity identification module, connected to the raw data port module, identifies valid data in the monitoring data, removes abnormal data, and sends an alarm message based on the valid data identification method of the overhead line monitoring terminal;

[0080] The function management module is connected to the validity identification module, and is used to receive the valid data and the alarm information, and feed back constant value information to the validity identification module.

[0081] Preferably, the original data port module includes:

[0082] A conductor temperature receiving port is used to receive conductor temperature data;

[0083] Ambient temperature receiving port, used to receive ambient temperature data;

[0084] A conductor current receiving port, used for receiving conductor current data;

[0085] Sunlight intensity receiving port, used to receive sunlight intensity data;

[0086] The ambient wind speed receiving port is used to receive ambient wind speed data.

[0087] Preferably, the validity identification module includes:

[0088] A first identification submodule, used to determine whether the monitoring data exceeds a set valid range;

[0089] A second identification submodule is used to determine whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than a first set threshold;

[0090] A third identification submodule, used to determine whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold;

[0091] A fourth identification submodule, used to determine whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row;

[0092] The fifth identification submodule is used to determine whether the difference between the conductor temperature and the ambient temperature is less than a third set threshold.

[0093] Preferably, the function management module includes:

[0094] a fixed value management submodule, for inputting and managing a first preset safety factor, a second preset safety factor, a third preset safety factor, a fourth preset safety factor, a fifth preset safety factor, a sixth preset safety factor, a seventh preset safety factor, and a first set threshold value of the second identification submodule, a second set threshold value of the third identification submodule, and a third set threshold value of the fifth identification submodule;

[0095] An alarm management submodule, used for receiving and managing the abnormal data and the alarm information sent by the validity identification module;

[0096] The valid data management submodule is used to receive and manage the valid data sent by the validity identification module.

[0097] The beneficial effects of the present invention are as follows: by adopting the above technical scheme, the effective range of data collected by the monitoring terminal is determined, abnormal data collected by the monitoring terminal can be effectively identified, and the original data used for dynamic capacity expansion capacity evaluation of the transmission line is ensured to be completely reliable, which helps to improve the practicality of the dynamic capacity expansion technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] Figure 1 It is a step diagram of the effective data identification method of the overhead line monitoring terminal of the present invention;

[0099] Figure 2 It is a connection block diagram of the effective data identification method of the overhead line monitoring terminal of the present invention;

[0100] Figure 3 It is a framework diagram of the effective data identification system of the overhead line monitoring terminal of the present invention;

[0101] Figure 4 This is a step diagram of condition c of the present invention. DETAILED DESCRIPTION

[0102] 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.

[0103] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0104] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0105] An effective data identification method for overhead line monitoring terminal, such as Figure 1 , Figure 2 As shown, including,

[0106] Step S1, installing monitoring terminals on the three-phase conductors of the overhead line respectively, the monitoring terminals are used to collect monitoring data, the monitoring data including one or more of conductor temperature, ambient temperature, conductor current, sunshine intensity, ambient wind speed;

[0107] Step S2, using several judgment conditions for identifying effective data of dynamic capacity increase of overhead lines to identify the monitoring data, and judging whether there is at least one judgment condition indicating that the monitoring data is abnormal. If so, the monitoring data is judged to be abnormal data and an alarm message is output; if not, the monitoring data is judged to be valid data.

[0108] Specifically, the present invention provides an effective data identification method for an overhead line monitoring terminal, which is used to determine the effective range of data collected by the monitoring terminal. It can effectively identify abnormal data collected by the monitoring terminal, ensure that the original data used for dynamic capacity expansion capability evaluation of the transmission line is completely reliable, and help to improve the practicality of dynamic capacity expansion technology.

[0109] In a preferred embodiment, the determination conditions in step S2 include:

[0110] Condition a, judging whether the monitoring data exceeds the set effective range; and / or,

[0111] Condition b, determining whether the absolute deviation of the monitoring data collected by three monitoring terminals at the same position of the overhead line is greater than a first set threshold; and / or,

[0112] Condition c: determining whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold; and / or,

[0113] Condition d: determine whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row; and / or,

[0114] Condition e: determining whether the difference between the conductor temperature and the ambient temperature is less than a third set threshold.

[0115] Specifically, condition a determines whether the monitoring data exceeds the set effective range. If so, the monitoring data is determined to be abnormal data, and if not, the monitoring data is determined to be valid data. Condition b determines whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than the first set threshold. If so, the monitoring data is determined to be abnormal data, and if not, the monitoring data is determined to be valid data. Condition c determines whether the ratio of the absolute median difference between the monitoring data and the data set is greater than the second set threshold. If so, the monitoring data is determined to be abnormal data, and if not, the monitoring data is determined to be valid data. Condition d determines whether the monitoring data uploaded by the same monitoring terminal is the same for three consecutive times. If so, the monitoring data is determined to be abnormal data, and if not, the monitoring data is determined to be valid data. Condition e determines whether the difference between the conductor temperature and the ambient temperature is less than the third set threshold. If so, the monitoring data is determined to be abnormal data, and if not, the monitoring data is determined to be valid data. By analyzing the data characteristics of each monitoring quantity of the dynamic capacity expansion monitoring terminal, determining its effective range and identifying abnormal data, it is ensured that the original data used for dynamic capacity expansion capacity assessment of the transmission line is completely credible and reliable.

[0116] Specifically, the monitoring terminal can collect data such as conductor temperature, ambient temperature, conductor current, sunshine intensity, ambient wind speed, etc. in real time, which helps to accurately evaluate the current status of the line. By analyzing the monitoring data based on the judgment conditions, the system can quickly identify abnormal data. For example, abnormal conductor temperature and current can help optimize the operating efficiency of overhead lines, reduce energy consumption costs, and reduce the impact on the environment, thereby improving the overall operation level of the power system.

[0117] In a preferred embodiment, the monitoring data in conditions a and d include conductor temperature, ambient temperature, conductor current, sunshine intensity and ambient wind speed;

[0118] The valid range in condition a includes the valid range of the wire temperature [T cL ,T cH ];

[0119] Among them, T cL Indicates the lower limit of the effective range of the conductor temperature, T cH Indicates the upper limit of the valid range of conductor temperature;

[0120] T cL The calculation formula is as follows,

[0121] T cL =k1×T a(low) ;

[0122] Wherein, k1 represents the first preset safety factor, 1.0<k1<1.4, T a(low) Indicates the lowest value of the local ambient temperature in ten years;

[0123] T cH The calculation formula is as follows,

[0124] T cH =k2×T c(lim) ;

[0125] Wherein, k2 represents the second preset safety factor, 1.1<k2<1.5, T c(lim) Indicates the maximum allowable temperature value of the conductor;

[0126] The valid range of condition a also includes the valid range of ambient temperature [T aL ,T aH ];

[0127] Among them, T aL Indicates the lower limit of the effective range of ambient temperature, T aH Indicates the upper limit of the valid range of ambient temperature;

[0128] T aL The calculation formula is as follows,

[0129] T aL =k3×T a(low) ;

[0130] Wherein, k3 represents the third preset safety factor, 1.0<k3<1.4, T a(low) Indicates the lowest value of the local ambient temperature in ten years;

[0131] T aH The calculation formula is as follows,

[0132] T aH =k4×T a(high) ;

[0133] Wherein, k4 represents the fourth preset safety factor, 1.1<k4<1.5, T a(high) Indicates the highest value of the local ambient temperature within ten years;

[0134] The valid range of condition a also includes the valid range of wire current [I cL ,I cH ];

[0135] Among them, I cL Indicates the lower limit of the effective range of the conductor current, I cL =0A, I cH Indicates the upper limit of the effective range of conductor current;

[0136] I cH The calculation formula is as follows,

[0137] I cH =k5×I c(lim) ;

[0138] Wherein, k5 represents the fifth preset safety factor, 1.5<k5<3, I c(lim) Indicates the rated current carrying capacity of the conductor;

[0139] The effective range of condition a also includes the effective range of sunlight intensity during a specific period of the day [J sL1 ,J sH1 ], and the specific period during the day is from 04:00 to 20:00;

[0140] Among them, J sL1 Indicates the lower limit of the effective range for a specific period of time during the day, J sL1 =0W / m 2 , J sH1 Indicates the upper limit of the valid range for a specific period of time during the day;

[0141] J sH1 The calculation formula is as follows,

[0142] J sH1 =k6×Js1(high) ;

[0143] Wherein, k6 represents the sixth preset safety factor, 1.1<k6<1.5, J s1(high) Indicates the maximum local sunshine intensity within ten years;

[0144] The effective range of condition a also includes the effective range of sunlight intensity at a specific time of night [J sL2 ,J sH2 ], the specific time period at night is 20:00~04:00;

[0145] Among them, J sL2 Indicates the lower limit of the effective range for a specific period of time at night, J sL2 =0W / m 2 , J sH2 Indicates the upper limit of the effective range of a specific period of time at night, J sH2 =100W / m 2 ;

[0146] The effective range of condition a also includes the effective range of ambient wind speed [V fL ,V fH ];

[0147] Among them, V fL Indicates the lower limit of the effective range of ambient wind speed, V fL =0W / m 2 , V fL Indicates the upper limit of the valid range of ambient wind speed;

[0148] V fH The calculation formula is as follows,

[0149] V fL =k7×V f(high) ;

[0150] Wherein, k7 represents the seventh preset safety factor, 1.2<k7<1.8, V f(high) Indicates the maximum local ambient wind speed within ten years.

[0151] Specifically, the preset safety factor and effective range setting in condition a ensure that the original data used for the dynamic capacity expansion capability assessment of the transmission line is completely credible and reliable, and guarantee the reliability and safety of the conductor system under various environmental conditions, thereby ensuring the long-term stable operation of the equipment, reducing maintenance costs, and extending the service life of the equipment.

[0152] In a preferred embodiment, the monitoring data in condition b includes conductor temperature, ambient temperature and sunlight intensity;

[0153] The first set threshold value of condition b includes the first set threshold value ΔBAD of the wire temperatureth1 , ΔBAD th1 =10, for the three monitoring terminals at the same installation location, the temperatures of the corresponding wires are T cA 、T cB 、T cC , the absolute deviation of the conductor temperature is calculated as follows:

[0154] BAD1=T ci -μ1(i=A,B,C);

[0155] Where BAD1 represents the absolute deviation of the conductor temperature, T ci represents the conductor temperature of the i-th phase conductor, μ1 represents the first calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0156] The calculation formula of μ1 is,

[0157] μ1=(T cA +T cB +T cC ) / 3;

[0158] Among them, T cA 、T cB 、T cC Respectively represent the temperatures of the three-phase conductors;

[0159] The first set threshold value of condition b also includes the first set threshold value ΔBAD of the ambient temperature th2 , ΔBAD th2 =5, for the three monitoring terminals at the same installation location, the corresponding ambient temperatures are T aA 、T aB 、T aC , the absolute deviation of ambient temperature is calculated as follows:

[0160] BAD2=T ai -μ2(i=A,B,C);

[0161] Where BAD2 represents the absolute deviation of ambient temperature, T ai represents the ambient temperature of the i-th phase conductor, μ2 represents the second calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0162] The calculation formula of μ2 is,

[0163] μ2=(T aA +T aB +T aC ) / 3;

[0164] Among them, T aA 、T aB 、T aCRespectively represent the ambient temperature of the three-phase conductors;

[0165] The first set threshold value of condition b also includes the first set threshold value of sunlight intensity ΔBAD th3 , ΔBAD th3 =300, for the three monitoring terminals at the same installation location, the corresponding sunshine intensities are J sA , J sB , J sC , the absolute deviation of sunshine intensity is calculated as follows:

[0166] BAD3=J si -μ3(i=A,B,C);

[0167] Among them, BAD3 represents the absolute deviation of sunshine intensity, J si represents the sunshine intensity of the i-th phase conductor, μ3 represents the third calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0168] The calculation formula of μ3 is,

[0169] μ3=(J sA +J sB +J sC ) / 3;

[0170] Among them, J sA , J sB , J sC Respectively represent the sunshine intensity of the three-phase conductors.

[0171] Specifically, the calculation coefficient and absolute deviation threshold setting of condition b, through precise data processing and comprehensive analysis, make the original data used for dynamic capacity expansion capacity assessment of transmission lines completely credible and reliable, improve the monitoring accuracy and stability, and enhance the real-time monitoring and management capabilities of the operating status of overhead lines, providing strong support for safe operation and efficiency optimization.

[0172] In a preferred embodiment, referring to Figure 4 , the absolute median difference ratio between the monitoring data and the data set in condition c is obtained by the following steps,

[0173] Calculate the median of the data set collected by all monitoring terminals;

[0174] Calculate the absolute value of the deviation between each data in the data set and the median of the data set to obtain the absolute deviation data array;

[0175] Calculate the median of the absolute deviation data array and multiply it by 1.4826 to get the absolute median difference;

[0176] Calculate the ratio of each element of the absolute deviation data array to the absolute median difference;

[0177] The monitoring data in condition c include conductor temperature, ambient temperature and conductor current.

[0178] Specifically, the anomaly detection mechanism of condition c can not only improve the quality and accuracy of the data, but also help improve the efficiency and reliability of the monitoring system, thereby accurately evaluating the dynamic capacity expansion capability of the line.

[0179] In a preferred embodiment, the third set threshold in condition e is 2°C to 3°C;

[0180] The alarm information in step S2 includes the monitoring terminal number, installation location, line to which it belongs, abnormal data time, abnormal data value and the reason for the data abnormality.

[0181] Specifically, the alarm information includes the monitoring terminal number, installation location, and line to which it belongs, which helps to quickly and accurately locate the specific location of the abnormality, saving time in troubleshooting. The abnormal data time and abnormal data value can provide the specific time point and abnormal value of the problem, helping operation and maintenance personnel to respond quickly and take necessary repair measures, effectively reducing the scope of the fault.

[0182] Specifically, the cause of data anomalies can help engineers conduct in-depth analysis and determine the root cause of the problem. The timely and accurate delivery of alarm information can optimize the workflow of the operation and maintenance team, improve the efficiency and accuracy of problem solving, and reduce the possibility of human error. By analyzing historical abnormal data, potential problem patterns and trends can be identified, which helps to formulate preventive maintenance strategies and further improve the stability and reliability of equipment and lines.

[0183] An effective data identification system for overhead line monitoring terminals, referring to Figure 3 ,include,

[0184] The original data port module 1 is used to receive monitoring data collected by the monitoring terminal installed on the three-phase conductor of the overhead line;

[0185] The validity identification module 2 is connected to the original data port module 1, and is based on the valid data identification method of the overhead line monitoring terminal to identify the valid data in the monitoring data, remove the abnormal data, and send an alarm message;

[0186] The function management module 3 is connected to the validity identification module 2, and is used for receiving valid data and alarm information, and feeding back fixed value information to the validity identification module 2.

[0187] Specifically, the present invention also provides an effective data identification system for an overhead line monitoring terminal, which collects data on the ambient temperature, conductor temperature, operating current, sunshine intensity, and ambient wind speed of the transmission line, starting from the absolute rationality of the data value and the relative rationality between the data. It has the advantages of clear logic, simple implementation, easy programming, and strong scalability. It can effectively identify and eliminate abnormal data collected by the monitoring terminal, retain valid data, ensure the accuracy of the dynamic capacity expansion capability evaluation results, and strongly support the application of dynamic capacity expansion technology and the safe and economical dispatch of power grids.

[0188] In a preferred embodiment, the raw data port module 1 includes:

[0189] The conductor temperature receiving port 11 is used to receive conductor temperature data;

[0190] The ambient temperature receiving port 12 is used to receive ambient temperature data;

[0191] The conductor current receiving port 13 is used to receive conductor current data;

[0192] Sunlight intensity receiving port 14, used for receiving sunlight intensity data;

[0193] The ambient wind speed receiving port 15 is used to receive ambient wind speed data.

[0194] Specifically, through different receiving ports, key data can be monitored in real time, equipment safety and operating efficiency can be improved, energy utilization can be optimized, and possible equipment failures or damage can be prevented, thereby ensuring the stable operation and long-term reliability of the power system.

[0195] In a preferred embodiment, the validity identification module 2 includes:

[0196] The first identification submodule 21 is used to determine whether the monitoring data exceeds a set valid range. If yes, the monitoring data is determined to be abnormal data; if no, the monitoring data is determined to be valid data;

[0197] The second identification submodule 22 is used to determine whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than a first set threshold value, if yes, the monitoring data is determined to be abnormal data, if not, the monitoring data is determined to be valid data;

[0198] The third identification submodule 23 is used to determine whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold value, if yes, the monitoring data is determined to be abnormal data, if not, the monitoring data is determined to be valid data;

[0199] The fourth identification submodule 24 is used to determine whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row. If yes, the monitoring data is determined to be abnormal data; if not, the monitoring data is determined to be valid data;

[0200] The fifth identification submodule 25 is used to determine whether the difference between the conductor temperature and the ambient temperature is less than a third set threshold value. If yes, the monitoring data is determined to be abnormal data; if not, the monitoring data is determined to be valid data.

[0201] Specifically, it helps to improve the accuracy and timeliness of data processing in overhead line monitoring terminals. Starting from the absolute rationality of data values ​​and the relative rationality between data, it can effectively identify and eliminate abnormal data collected by the monitoring terminals, retain valid data, and ensure the accuracy of dynamic capacity expansion capability assessment results, which strongly supports the application of dynamic capacity expansion technology and the safe and economical dispatch of power grids.

[0202] In a preferred embodiment, the function management module 3 includes:

[0203] The fixed value management submodule 31 is used to input and manage the first preset safety factor, the second preset safety factor, the third preset safety factor, the fourth preset safety factor, the fifth preset safety factor, the sixth preset safety factor, the seventh preset safety factor, the first set threshold value of the second identification submodule 22, the second set threshold value of the third identification submodule 23, and the third set threshold value of the fifth identification submodule 25;

[0204] The alarm management submodule 32 is used to receive and manage the abnormal data and alarm information sent by the validity identification module 2;

[0205] The valid data management submodule 33 is used to receive and manage the valid data sent by the validity identification module 2 .

[0206] Specifically, the fixed value management submodule 31 includes:

[0207] The fixed value input interface 311 is used to input various preset safety factors and various thresholds;

[0208] The fixed value storage unit 312 is connected to the fixed value input interface 311 and is used to store and input various preset safety factors and various thresholds. Even if the system is powered off, the stored fixed value data will not be lost;

[0209] The fixed value output interface 313 is connected to the fixed value storage unit 312 and is used to send various preset safety factors and various thresholds to the effectiveness identification module 2 for use when the identification program is running.

[0210] The alarm management submodule 32 includes:

[0211] The alarm input interface 321 is used to receive abnormal data and alarm information sent by the validity identification module 2;

[0212] The alarm storage unit 322 is connected to the alarm input interface 321 and is used to store abnormal data and alarm information. Even if the system is powered off, the stored data will not be lost;

[0213] The alarm output interface 333 is connected to the alarm storage unit 322 and is used to output and display abnormal data and alarm information for users to view and for use by lower-level systems.

[0214] The effective data management submodule 33 includes:

[0215] The data input interface 331 is used to receive valid data sent by the validity identification module 2;

[0216] The data storage unit 332 is connected to the data input interface 331 and is used to store valid data. Even if the system is powered off, the stored data will not be lost;

[0217] The data output interface 333 is connected to the data storage unit 332 and is used to output and display valid data for users to view and for use by lower-level systems.

[0218] The effective data identification method of the present invention is composed of one or more of the following judgment conditions. If any one of the judgment conditions indicates that the monitoring data is abnormal, then the data is abnormal data and a corresponding alarm message is prompted.

[0219] Specifically, refer to Figure 2 ,Condition a is used to identify the conductor temperature, ambient temperature, conductor current, sunlight intensity, and ambient wind speed.

[0220] (1) For wire temperature identification: Let the effective range of wire temperature acquisition value be [T cL ,T cH ], if the collected value is outside this range, it is considered abnormal. cL Indicates the lower limit of the valid range for the conductor temperature, T cH Indicates the upper limit of the valid range for the conductor temperature;

[0221] T cL The calculation formula is as follows,

[0222] T cL =k1×T a(low) ;

[0223] Among them, T cL represents the lower limit of the effective range for the conductor temperature, k1 represents the first preset safety factor, 1.0<k1<1.4, T a(low)Indicates the lowest value of the local ambient temperature within ten years; for example, for Shanghai, k1=1.3, T a(low) =-12.1℃;

[0224] T cH The calculation formula is as follows,

[0225] T cH =k2×T c(lim) ;

[0226] Among them, T cH represents the upper limit of the effective range for the wire temperature, k2 represents the second preset safety factor, 1.1<k2<1.5, T c(lim) Indicates the maximum allowable temperature of the conductor, which is related to the conductor model. For example, for overhead lines using steel-core aluminum stranded wire, k2 = 1.2, T c(lim) =70℃.

[0227] (2) For ambient temperature identification: The effective range of ambient temperature collection value is [T aL ,T aH ], if the collected value is outside this range, it is considered abnormal. aL Indicates the lower limit of the effective range for ambient temperature, T aH Indicates the upper limit of the valid range for ambient temperature;

[0228] T aL The calculation formula is as follows,

[0229] T aL =k3×T a(low) ;

[0230] Among them, T aL represents the lower limit of the effective range for the ambient temperature, k3 represents the third preset safety factor, 1.0<k3<1.4, T a(low) Indicates the lowest value of the local ambient temperature within ten years; for example, for Shanghai, k3 = 1.3, T a(low) =-12.1℃;

[0231] T aH The calculation formula is as follows,

[0232] T aH =k4×T a(high) ;

[0233] Among them, T aH represents the upper limit of the effective range for the ambient temperature, k4 represents the fourth preset safety factor, 1.1<k4<1.5, T a(high) Indicates the highest value of the local ambient temperature within ten years; for example, for Shanghai, k4=1.2, T a(high)=40.9℃.

[0234] (3) For wire current identification: The effective range of wire current acquisition value is [I cL ,I cH ], if the collected value is outside this range, it is considered abnormal. cL Indicates the lower limit of the valid range for the conductor current, I cL =0A, I cH Indicates the upper limit of the valid range for the conductor current;

[0235] I cH The calculation formula is as follows,

[0236] I cH =k5×I c(lim) ;

[0237] Among them, I cH represents the upper limit of the effective range for the wire current, k5 represents the fifth preset safety factor, 1.5<k5<3, I c(lim) Indicates the rated current carrying capacity of the conductor; it is related to the conductor type and cross-sectional area. For example, for LGJ-400 / 35 conductor, k5=2.0 can be selected. c(lim) =581A.

[0238] (4) For sunlight intensity identification: The effective range of sunlight intensity collection value during a specific period of daytime (04:00~20:00) is [J sL1 ,J sH1 ], in the specific period of time at night (20:00~04:00) the effective range is [J sL2 ,J sH2 ], if the collected value is outside this range, it is considered abnormal. sH1 Indicates the lower limit of the effective range for a specific period of time during the day, J sL1 =0W / m 2 , J sH1 Indicates the upper limit of the valid range for a specific period of time during the day;

[0239] J sH1 The calculation formula is as follows,

[0240] J sH1 =k6×J s1(high) ;

[0241] Among them, J sH1 represents the upper limit of the effective range during a specific period of time during the day, k6 represents the sixth preset safety factor, 1.1<k6<1.5, J s1(high) Indicates the maximum local sunshine intensity within ten years; for example, for Shanghai, k6=1.2, J sH1 =1100W / m2 .

[0242] J sL2 Indicates the lower limit of the effective range for a specific period of time at night, J sL2 =0W / m 2 , J sH2 Indicates the upper limit of the effective range of a specific period of time at night, J sH2 =100W / m 2 .

[0243] (5) For ambient wind speed identification: the effective range of ambient wind speed collection value is [V fL ,V fH ], if the collected value is outside this range, it is considered abnormal. fL Represents the lower limit of the effective range for ambient wind speed, V fL =0W / m 2 , V fH Indicates the upper limit of the effective range for ambient wind speed;

[0244] V fH The calculation formula is as follows,

[0245] V fH =k7×V f(high) ;

[0246] Among them, V fH represents the upper limit of the effective range for the ambient wind speed, k7 represents the seventh preset safety factor, 1.2<k7<1.8, V f(high) Indicates the maximum value of the local ambient wind speed within ten years. For example, for Shanghai, k7 = 1.3, V f(high) =35m / s.

[0247] Condition b is used to identify the conductor temperature, ambient temperature, and sunlight intensity.

[0248] (1) For conductor temperature: If the absolute deviation of conductor temperature collected by three devices at the same installation location is greater than ΔBAD th1 , it means that the data is abnormal. For three monitoring terminals (one for each phase A, B, and C) at the same installation location, the wire temperatures are T cA 、T cB 、T cC , calculate its absolute deviation (BAD1), if BAD1 is greater than ΔBAD th1 , that is, the data is considered abnormal.

[0249] The absolute deviation of the conductor temperature is calculated as follows:

[0250] BAD1=T ci -μ1(i=A,B,C);

[0251] Where BAD1 represents the absolute deviation of the conductor temperature, T ci represents the conductor temperature of the i-th phase conductor, μ1 represents the first calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0252] The calculation formula of μ1 is,

[0253] μ1=(T cA +T cB +T cC ) / 3;

[0254] Among them, μ1 represents the first calculation coefficient, T cA 、T cB 、T cC Respectively represent the temperature of the three-phase conductors; ΔBAD th1 =10.

[0255] (2) For ambient temperature: If the absolute deviation of the ambient temperature collected by the three devices at the same installation location is greater than ΔBAD th2 , it means that the data is abnormal.

[0256] For three monitoring terminals (one for each phase A, B, and C) at the same installation location, the ambient temperatures are T aA 、T aB 、T aC , calculate its absolute deviation (BAD2), if BAD2 is greater than ΔBAD th2 , that is, the data is considered abnormal.

[0257] The absolute deviation of ambient temperature is calculated as follows:

[0258] BAD2=T ai -μ2(i=A,B,C);

[0259] Where BAD2 represents the absolute deviation of ambient temperature, T ai represents the ambient temperature of the i-th phase conductor, μ2 represents the second calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0260] The calculation formula of μ2 is,

[0261] μ2=(T aA +T aB +T aC ) / 3;

[0262] Among them, μ2 represents the second calculation coefficient, T aA 、T aB 、T aC Respectively represent the ambient temperature of the three-phase conductors; ΔBAD th2 =5.

[0263] (3) For sunlight intensity: If the absolute deviation of the conductor current collected by the three devices at the same installation location is greater than ΔBAD th3 , it means that the data is abnormal. For three monitoring terminals (one for each phase A, B, and C) at the same installation location, the sunshine intensity is J sA , J sB , J sC , calculate its absolute deviation (BAD3), if BAD3 is greater than ΔBAD th3 , that is, the data is considered abnormal.

[0264] The absolute deviation of sunshine intensity is calculated as follows:

[0265] BAD3=J si -μ3(i=A,B,C);

[0266] Among them, BAD3 represents the absolute deviation of sunshine intensity, J si represents the sunshine intensity of the i-th phase conductor, μ3 represents the third calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively;

[0267] The calculation formula of μ3 is,

[0268] μ3=(J sA +J sB +J sC ) / 3;

[0269] Among them, μ3 represents the third calculation coefficient, J sA , J sB , J sC Respectively represent the sunshine intensity of the three-phase conductors, ΔBAD th3 =300.

[0270] Condition c is for conductor temperature. If the ratio of the absolute median difference of a certain data to the absolute median difference of all conductor temperature data uploaded by all dynamic capacity increase monitoring terminals of the transmission line is greater than the eleventh preset safety factor, it indicates that the data is abnormal. The specific steps are as follows:

[0271] Step 1: Calculate the wire temperature set (T c1 、T c2 ,…,T cn ) c );

[0272] Step 2: Calculate the median M of each data in the wire temperature set c The absolute value of the deviation is obtained to obtain a data array of absolute deviation (ΔT c1M , ΔT c2M ,…,ΔTcnM );

[0273] Step 3: Calculate the median M of the absolute deviation array cΔx , and multiply by 1.4826 to get the absolute median difference MAD c The value of

[0274] Step 4: Calculate each element of the absolute deviation array and MAD c The ratio of the values, if the ratio is greater than the eleventh preset safety factor k 11 , then the data value is determined to be abnormal data. k 11 =3.

[0275] Condition c is for ambient temperature. If the ratio of the absolute median difference of a certain data to all ambient temperature data uploaded by the dynamic capacity increase monitoring terminals of the transmission line is greater than the twelfth preset safety factor, it indicates that the data is abnormal. The specific steps are as follows:

[0276] Step 1: Calculate the wire temperature set (T a1 、T a2 ,…,T an ) a );

[0277] Step 2: Calculate the median M of each data in the wire temperature set a The absolute value of the deviation is obtained to obtain a data array of absolute deviation (ΔT a1M , ΔT a2M ,…,ΔT anM );

[0278] Step 3: Calculate the median M of the absolute deviation array aΔx , and multiply by 1.4826 to get the absolute median difference MAD a The value of

[0279] Step 4: Calculate each element of the absolute deviation array and MAD a The ratio of the values, if the ratio is greater than the twelfth preset safety factor k 12 , then the data value is determined to be abnormal data. k 12 =1.4.

[0280] Condition c is for conductor current. If the ratio of the absolute median difference of a certain data to the absolute median difference of all conductor current data uploaded by all dynamic capacity increase monitoring terminals of the transmission line is greater than the thirteenth preset safety factor, it indicates that the data is abnormal. The specific steps are as follows:

[0281] Step 1: Calculate the wire temperature set (I c1 ,I c2 ,…,I cn ) i );

[0282] Step 2: Calculate the median M of each data in the wire temperature set i The absolute value of the deviation is obtained to obtain a data array of absolute deviation (ΔI c1M , ΔI c2M ,…,ΔI cnM );

[0283] Step 3: Calculate the median M of the absolute deviation array iΔx , and multiply by 1.4826 to get the absolute median difference MAD i The value of

[0284] Step 4: Calculate each element of the absolute deviation array and MAD i The ratio of the values, if the ratio is greater than the thirteenth preset safety factor k 13 , then the data value is determined to be abnormal data. k 13 =2.0.

[0285] Condition d is used to identify conductor temperature, ambient temperature, conductor current, sunlight intensity, and ambient wind speed.

[0286] (1) For conductor temperature: If the conductor temperature data uploaded by the monitoring terminal is the same for three consecutive times, it indicates that there is an abnormality in the device itself or in the wireless communication network, and the data will also be judged as abnormal data. The conductor temperature data collected by the monitoring terminal for the last three times are T c (n), T c (n-1), T c (n-2), if T c (n) = T c (n-1) = T c (n-2), the data is abnormal data.

[0287] (2) Regarding ambient temperature: If the ambient temperature data uploaded by the monitoring terminal is the same for three consecutive times, it indicates that there is an abnormality in the device itself or in the wireless communication network, and the data will also be judged as abnormal data. The ambient temperature data collected by the monitoring terminal for the last three times are T a (n), T a (n-1), T a (n-2), if T a (n) = T a (n-1) = T a (n-2), the data is abnormal data.

[0288] (3) For wire current: If the wire current data uploaded by the monitoring terminal is the same for three consecutive times, it indicates that there is an abnormality in the device itself or in the wireless communication network, and the data will also be judged as abnormal data. The wire current data collected by the monitoring terminal for the last three times are I c (n), I c (n-1), I c (n-2), if I c (n) = I c (n-1) = I c (n-2), the data is abnormal data.

[0289] (4) Regarding sunshine intensity: If the sunshine intensity data uploaded by the monitoring terminal is the same for three consecutive times, it indicates that there is an abnormality in the device itself or in the wireless communication network, and the data will also be judged as abnormal data. The sunshine intensity data collected by the monitoring terminal for the last three times are J s (n), J s (n-1), J s (n-2), if J s (n) = J s (n-1) = J s (n-2), the data is abnormal data.

[0290] (5) Regarding ambient wind speed: If the ambient wind speed data uploaded by the monitoring terminal is the same for three consecutive times, it indicates that there is an abnormality in the device itself or in the wireless communication network, and the data will also be judged as abnormal data. The ambient wind speed data collected by the monitoring terminal for the last three times are V f (n), V f (n-1), V f (n-2), if V f (n) = V f (n-1) = V f (n-2), the data is abnormal data.

[0291] The judgment process of condition e is: if the difference between the wire temperature uploaded by the same monitoring terminal and the ambient temperature is less than the third set threshold, the data is judged to be abnormal. c -T a <ΔT th When , it is judged as abnormal; among them, ΔT th is the temperature deviation threshold, which can be taken as 2℃~3℃.

[0292] In the present invention, when abnormal data is identified, corresponding abnormal data alarm information is prompted. The alarm information content includes the monitoring terminal number, installation location, affiliated line, abnormal data time, abnormal data value and the reason for the data abnormality.

[0293] In summary, the present application provides an effective data identification method and system for an overhead line monitoring terminal, which determines its effective range and identifies abnormal data by analyzing the data characteristics of each monitoring quantity of the dynamic capacity increase monitoring terminal, thereby ensuring that the original data used for the dynamic capacity increase capability evaluation of the transmission line is completely reliable and credible, thereby helping to improve the practicality of the dynamic capacity increase technology and provide strong support for the dynamic, safe and economical dispatch of the power grid.

[0294] The above description is only a preferred embodiment of the present invention, and does not limit the implementation mode and protection scope of the present invention. For those skilled in the art, it should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the description and illustrations of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for identifying effective data of an overhead line monitoring terminal, characterized in that: include, Step S1, installing monitoring terminals on three-phase conductors of the overhead line respectively, wherein the monitoring terminals are used to collect monitoring data, wherein the monitoring data includes one or more of conductor temperature, ambient temperature, conductor current, sunshine intensity, and ambient wind speed; Step S2, using several determination conditions for identifying the effective data of the dynamic capacity increase of the overhead line to identify the monitoring data, and judging whether there is at least one of the determination conditions indicating that the monitoring data is abnormal. If so, the monitoring data is judged to be abnormal data and an alarm message is output; if not, the monitoring data is judged to be the valid data.

2. The effective data identification method of the overhead line monitoring terminal according to claim 1 is characterized in that: The determination conditions in step S2 include: Condition a, judging whether the monitoring data exceeds the set effective range; and / or, Condition b, determining whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than a first set threshold; and / or, Condition c, judging whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold; and / or, Condition d: determining whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row; and / or, Condition e: determining whether the difference between the wire temperature and the ambient temperature is less than a third set threshold.

3. The effective data identification method of the overhead line monitoring terminal according to claim 2 is characterized in that: The monitoring data in conditions a and d include the conductor temperature, the ambient temperature, the conductor current, the sunshine intensity and the ambient wind speed; The valid range in condition a includes the valid range of the wire temperature [T cL ,T cH ]; Among them, T cL Indicates the lower limit of the effective range of the wire temperature, T cH Indicates the upper limit of the effective range of the wire temperature; T cL The calculation formula is as follows, T cL =k1×T a(low) ; Wherein, k1 represents the first preset safety factor, 1.0<k1<1.4, T a(low) Indicates the lowest value of the local ambient temperature within ten years; T cH The calculation formula is as follows, T cH =k2×T c(lim) ; Wherein, k2 represents the second preset safety factor, 1.1<k2<1.5, T c(lim) Indicates the maximum allowable temperature value of the conductor; The effective range of condition a also includes the effective range of the ambient temperature [T aL ,T aH ]; Among them, T aL Indicates the lower limit of the effective range of the ambient temperature, T aH Indicates the upper limit of the valid range of the ambient temperature; T aL The calculation formula is as follows, T aL =k3×T a(low) ; Wherein, k3 represents the third preset safety factor, 1.0<k3<1.4, T a(low) Indicates the lowest value of the local ambient temperature within ten years; T aH The calculation formula is as follows, T aH =k4×T a(high) ; Wherein, k4 represents the fourth preset safety factor, 1.1<k4<1.5, T a(high) Indicates the highest value of the local ambient temperature within ten years; The effective range of condition a also includes the effective range of the conductor current [I cL ,I cH ]; Among them, I cL Indicates the lower limit of the effective range of the conductor current, I cL =0A, I cH Indicates the upper limit of the effective range of the conductor current; I cH The calculation formula is as follows, I cH =k5×I c(lim) ; Wherein, k5 represents the fifth preset safety factor, 1.5<k5<3, I c(lim) Indicates the rated current carrying capacity of the conductor; The effective range of condition a also includes the effective range of the sunshine intensity during a specific period of the day [J sL1 ,J sH1 ], the specific time period during the day is 04:00~20:00; Among them, J sL1 Indicates the lower limit of the effective range of the specific period of daytime, J sL1 =0W / m 2 , J sH1 Indicates the upper limit of the valid range of the specific time period during the day; J sH1 The calculation formula is as follows, J sH1 =k6×J s1(high) ; Wherein, k6 represents the sixth preset safety factor, 1.1<k6<1.5, J s1(high) Indicates the maximum value of the local sunshine intensity within ten years; The effective range of condition a also includes the effective range of the sunshine intensity at a specific time period at night [J sL2 ,J sH2 ], the specific time period at night is 20:00~04:00; Among them, J sL2 Indicates the lower limit of the effective range of the specific period of night, J sL2 =0W / m 2 , J sH2 represents the upper limit of the effective range of the specific period of night, J sH2 =100W / m 2 ; The effective range of condition a also includes the effective range of the ambient wind speed [V fL ,V fH ]; Among them, V fL Represents the lower limit of the effective range of the ambient wind speed, V fL =0W / m 2 , V fH Indicates the upper limit of the effective range of the ambient wind speed; V fH The calculation formula is as follows, In fH =k7×V f(high) ; Wherein, k7 represents the seventh preset safety factor, 1.2<k7<1.8, V f(high) Indicates the maximum value of the local ambient wind speed within ten years.

4. The effective data identification method of the overhead line monitoring terminal according to claim 2 is characterized in that: The monitoring data in condition b includes the conductor temperature, the ambient temperature and the sunshine intensity; The first set threshold value of condition b includes the first set threshold value ΔBAD of the wire temperature th1 , ΔBAD th1 =10, for the three monitoring terminals at the same installation location, the temperatures of the corresponding wires are T cA 、T cB 、T cC , the absolute deviation calculation formula of the conductor temperature is: BAD1=T ci -μ1(i=A,B,C); Wherein, BAD1 represents the absolute deviation of the wire temperature, T ci represents the conductor temperature of the i-th phase conductor, μ1 represents the first calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively; The calculation formula of μ1 is, μ1=(T cA +T cB +T cC ) / 3; Among them, T cA 、T cB 、T cC Respectively represent the temperatures of the three-phase conductors; The first set threshold value of condition b also includes the first set threshold value ΔBAD of the ambient temperature th2 , ΔBAD th2 =5, for the three monitoring terminals at the same installation location, the corresponding ambient temperatures are T aA 、T aB 、T aC , the absolute deviation calculation formula of the ambient temperature is: BAD2=T ai -μ2(i=A,B,C); Wherein, BAD2 represents the absolute deviation of the ambient temperature, T ai represents the ambient temperature of the i-th phase conductor, μ2 represents the second calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively; The calculation formula of μ2 is, μ2=(T aA +T aB +T aC ) / 3; Among them, T aA 、T aB 、T aC Respectively represent the ambient temperatures of the three-phase conductors; The first set threshold value of condition b also includes the first set threshold value ΔBAD of the sunshine intensity th3 , ΔBAD th3 =300, for the three monitoring terminals at the same installation location, the corresponding sunshine intensities are J sA , J sB , J sC , the absolute deviation calculation formula of the sunshine intensity is: BAD3=J si -μ3(i=A,B,C); Wherein, BAD3 represents the absolute deviation of the sunshine intensity, J si represents the sunshine intensity of the i-th phase conductor, μ3 represents the third calculation coefficient, and A, B, and C represent the three phases of the overhead line respectively; The calculation formula of μ3 is, μ3=(J sA +J sB +J sC ) / 3; Among them, J sA , J sB , J sC Respectively represent the sunshine intensity of the three-phase conductors.

5. The effective data identification method of the overhead line monitoring terminal according to claim 2 is characterized in that: The absolute median difference ratio between the monitoring data and the data set in condition c is obtained by the following steps: Calculate the median of the data set collected by all the monitoring terminals; Calculate the absolute value of the deviation between each data in the data set and the median of the data set to obtain an absolute deviation data array; Calculate the median of the absolute deviation data array and multiply it by 1.4826 to obtain the absolute median difference; Calculating the ratio of each element of the absolute deviation data array to the absolute median difference; The monitoring data in condition c includes the conductor temperature, the ambient temperature and the conductor current.

6. The effective data identification method of the overhead line monitoring terminal according to claim 2 is characterized in that: The third set threshold in condition e is 2°C to 3°C; The alarm information in step S2 includes the number, installation location, line, abnormal data time, abnormal data value and reason for data abnormality of the monitoring terminal.

7. An effective data identification system for an overhead line monitoring terminal, characterized in that: include, The raw data port module is used to receive monitoring data collected by a monitoring terminal installed on a three-phase conductor of an overhead line; A validity identification module, connected to the raw data port module, based on the valid data identification method of the overhead line monitoring terminal according to any one of claims 1 to 6 to identify valid data in the monitoring data, remove abnormal data, and send an alarm message; The function management module is connected to the validity identification module, and is used to receive the valid data and the alarm information, and feed back constant value information to the validity identification module.

8. The effective data identification system of the overhead line monitoring terminal according to claim 7, characterized in that: The original data port module includes: A conductor temperature receiving port is used to receive conductor temperature data; Ambient temperature receiving port, used to receive ambient temperature data; A conductor current receiving port, used for receiving conductor current data; Sunlight intensity receiving port, used to receive sunlight intensity data; The ambient wind speed receiving port is used to receive ambient wind speed data.

9. The effective data identification system of the overhead line monitoring terminal according to claim 7, characterized in that: The validity identification module includes: A first identification submodule, used to determine whether the monitoring data exceeds a set valid range; A second identification submodule is used to determine whether the absolute deviation of the monitoring data collected by the three monitoring terminals at the same position of the overhead line is greater than a first set threshold; A third identification submodule, used to determine whether the absolute median difference ratio between the monitoring data and the data set is greater than a second set threshold; A fourth identification submodule, used to determine whether the monitoring data uploaded by the same monitoring terminal are the same three times in a row; The fifth identification submodule is used to determine whether the difference between the conductor temperature and the ambient temperature is less than a third set threshold.

10. The effective data identification system of the overhead line monitoring terminal according to claim 9, characterized in that: The function management module includes: a fixed value management submodule, for inputting and managing a first preset safety factor, a second preset safety factor, a third preset safety factor, a fourth preset safety factor, a fifth preset safety factor, a sixth preset safety factor, a seventh preset safety factor, and a first set threshold value of the second identification submodule, a second set threshold value of the third identification submodule, and a third set threshold value of the fifth identification submodule; An alarm management submodule, used for receiving and managing the abnormal data and the alarm information sent by the validity identification module; The valid data management submodule is used to receive and manage the valid data sent by the validity identification module.

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