A method for intelligent monitoring of power transmission and transformation equipment

Abstract

The present invention relates to the technical field of power management, and in particular to an intelligent monitoring method for power transmission and transformation equipment, comprising: uploading historical fault parameters of a transmission and transformation substation, collecting meteorological data corresponding to the historical faults of the transmission and transformation substation; setting a monitoring logic for the transmission and transformation substation, and based on the set monitoring logic, performing real-time monitoring on operation-related data of the transmission and transformation substation, building a cloud database, and using the cloud database to store the monitored real-time operation parameters of the transmission and transformation substation and the real-time meteorological data of the area where the transmission and transformation substation is located; the present invention brings a real-time monitoring effect to the transmission and transformation substation by collecting and analyzing the real-time operation parameters of the transmission and transformation substation, and achieves comprehensive coverage of the collection of operation parameters of the transmission and transformation substation with a specific collection logic, effectively improving the reliability and timeliness of the monitoring results of the transmission and transformation substation, ensuring that the operation failures that may occur during the operation of the transmission and transformation substation can be more easily monitored, thereby ensuring the long-term stable operation and safety of the transmission and transformation substation.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and in particular to an intelligent monitoring method for power transmission and transformation equipment. Background Art

[0002] Power transmission and transformation equipment is a very important component of the power system. Its main function is to transmit the electric energy generated by the power plant to the distant substation or user, and to transform and distribute the electric energy.

[0003] In the power system, the machine room where the power transmission and transformation equipment is deployed and connected to various transmission lines is often called a transmission and transformation station. The transmission and transformation station is the link of power transmission in the power system, and it needs to be inspected regularly to ensure the daily operation safety of the transmission and transformation station and ensure the daily power transmission stability of the power system.

[0004] However, the daily operation failures of power transmission and substations are highly random and uncontrollable. It is often impossible to fully grasp the operating status and safety of power transmission and substations by relying solely on manual regular inspections.

[0005] To this end, we proposed an intelligent monitoring method for power transmission and transformation equipment to solve the above problems and ensure that the daily operation of the power transmission and transformation station can be more comprehensively monitored for operational safety. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent monitoring method for power transmission and transformation equipment, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] An intelligent monitoring method for power transmission and transformation equipment, comprising:

[0009] Upload the historical fault parameters of the substation and collect the meteorological data corresponding to the historical faults of the substation; set the monitoring logic of the substation, and based on the set monitoring logic, perform real-time monitoring of the operation-related data of the substation, build a cloud database, and use the cloud database to store the monitored real-time operation parameters of the substation and the real-time meteorological data of the area where the substation is located; compare the real-time meteorological data of the area where the substation is located in the operation-related data of the substation monitored based on the monitoring logic with the meteorological data corresponding to the historical faults of the substation for similarity comparison; obtain the real-time meteorological data of the area where the substation is located, and in the similarity comparison results with the meteorological data corresponding to the historical faults of the substation, the group of comparison results with the highest similarity is obtained, and when the similarity is not less than 80%, the operation of inserting the monitoring cycle is performed; receive the operation-related data of the substation monitored based on the monitoring logic of the substation, and evaluate the operation safety situation of the substation based on the operation-related data of the substation; receive the evaluation result of the operation safety situation of the substation, set the safety judgment threshold, and compare the safety judgment threshold with the evaluation result of the operation safety situation of the substation to determine whether the substation is safe.

[0010] Furthermore, the historical fault parameters of the transmission and substation include: the voltage, current, resistance, fault line location information, and fault occurrence time of each line when the substation fails. The historical fault parameters of the transmission and substation are manually uploaded by the user end. Based on the fault occurrence time in the historical fault parameters of the transmission and substation, the meteorological data of the area where the transmission and substation is located in the corresponding same time period is collected. The meteorological data includes: temperature, humidity, rainfall, wind level, and snowfall;

[0011] Among them, after the meteorological data corresponding to the historical faults of the substation are collected, they are synchronously bound with the historical fault parameters of the substation and stored.

[0012] Furthermore, the substation operation related data, i.e., the real-time operation parameters of the substation and the real-time meteorological data of the area where the substation is located, are stored in the cloud database. The real-time operation parameters of the substation and the real-time meteorological data of the area where the substation is located are marked based on the corresponding monitoring timestamps of the real-time operation parameters of the substation and the real-time meteorological data, and the real-time operation parameters of the substation and the real-time meteorological data of the area where the substation is located with the same mark are bound to each other. The real-time operation parameters of the substation include: the voltage, current, and resistance of each line of the substation. The setting of the monitoring logic of the substation, i.e., the setting of the monitoring period of the substation, is expressed as follows:

[0013] Logic1: Set the initial monitoring cycle of the transmission and substation, and use the initial monitoring cycle of the transmission and substation to monitor the operation-related data of the transmission and substation;

[0014] Logic 2: After monitoring the operation-related data of the transmission and substation twice in a row based on the monitoring cycle, the monitoring cycle is corrected based on the meteorological data in the monitored operation-related data;

[0015] Logic3: After the current monitoring cycle of the transmission and substation ends, the monitoring cycle correction result in Logic2 is applied to iterate the original configuration monitoring cycle of the transmission and substation;

[0016] The initial monitoring period of the substation set in Logic1 is no longer than 3 minutes, and Logic2 and Logic3 are executed once in each monitoring period.

[0017] Furthermore, the modification of the monitoring period by Logic2 is subject to:

[0018]

[0019] Where: d is the correction result of the monitoring period; is the base number for monitoring period correction; γ is the correction factor; t′, RH′, s w ′、m rain ′、m snow ′ is the temperature, humidity, rainfall, wind level, and snowfall first monitored during the initial monitoring period; t, RH, s w 、m rain 、m snow are the temperature, humidity, rainfall, wind level, and snowfall monitored for the second time based on the initial monitoring period; ω1, ω2, ω3, ω4, and ω5 are weights;

[0020] Among them, γ∈[-1,1], and obey The larger the value, the smaller the correction factor γ is. On the contrary, the larger the correction factor γ is, the larger the monitoring period correction base is. Manually set by the user, the initial default setting of the monitoring period correction base is 45 minutes, ω1+ω2+ω3+ω4+ω5=1.

[0021] Furthermore, the similarity between the real-time meteorological data of the area where the substation is located and the meteorological data corresponding to the historical faults of the substation is obtained by the following formula:

[0022]

[0023] Where: sim(a,b) is the similarity between the real-time meteorological data a in the area where the substation is located and the meteorological data corresponding to the historical fault of the substation; t a RH a 、s a 、m rian-a 、m snow-ais the temperature, humidity, rainfall, wind level, and snowfall in the real-time meteorological data a of the area where the substation is located; χ is the normalization factor; t b RH b 、s b 、m rian-b 、m snow-b The temperature, humidity, rainfall, wind level, and snowfall in the meteorological data b corresponding to the historical faults of the transmission and substation;

[0024] Among them, the normalization factor χ=1×q, q is the number of items in the meteorological data. The larger the sim(a,b), the higher the similarity between the two sets of meteorological data. Conversely, the lower the similarity between the two sets of meteorological data. Based on the above formula, the real-time meteorological data of the area where the substation is located is compared with the meteorological data corresponding to the historical faults of each set of substations for similarity.

[0025] Furthermore, in the process of monitoring the operation-related data of the transmission and substation based on the monitoring logic, when the similarity comparison result between the real-time meteorological data of the area where the transmission and substation is located and the meteorological data corresponding to the historical faults of the transmission and substation is not less than 80%, after the correction result of the monitoring cycle is obtained, half of the correction result of the monitoring cycle is used as the next monitoring cycle of the transmission and substation, and is placed between the current monitoring cycle and the correction result of the monitoring cycle;

[0026] Among them, the operation of applying half of the monitoring cycle correction result as the next monitoring cycle of the transmission and substation, and placing it between the current monitoring cycle and the monitoring cycle correction result, is the operation of inserting the monitoring cycle.

[0027] Furthermore, in the stage of evaluating the operation safety situation of the substation based on the substation operation related data, the substation operation related data monitored based on the substation monitoring logic is continuously received, and any three consecutive groups of substation operation related data from the continuously received substation operation related data are used to conduct continuous evaluation of the operation safety situation of the substation.

[0028] Furthermore, when evaluating the operation safety situation of the transmission and substation based on the operation-related data of the transmission and substation, the real-time operation parameters of the transmission and substation in the continuously received operation-related data of the transmission and substation are used to generate a transmission and substation operation parameter trend chart, and the real-time operation parameters of the transmission and substation are further selected from the transmission and substation operation parameter trend chart to perform the transmission and substation operation safety situation evaluation. The transmission and substation operation safety situation evaluation logic is expressed as follows:

[0029]

[0030] Where: K1, K2, K3 are three sets of real-time operating parameters of the transmission and substation; n is the set of lines in the transmission and substation; s(V1 i ,V2 i) is the slope of the voltage of the i-th group of lines in the first group of operating parameters and the voltage in the second group of operating parameters in the trend diagram; s(I1 i ,I2 i ) is the slope of the current of the i-th group of lines in the first group of operating parameters and the current of the second group of operating parameters in the trend diagram; s(R1 i ,R2 i ) is the slope of the resistance of the i-th group of lines in the first group of operating parameters and the resistance in the second group of operating parameters in the trend diagram; s(V2 i ,V3 i ) is the slope of the voltage of the i-th group of lines in the second group of operating parameters and the voltage in the third group of operating parameters in the trend diagram; s(I2 i ,I3 i ) is the slope of the current of the i-th group of lines in the second group of operating parameters and the current of the third group of operating parameters in the trend diagram; s(R2 i ,R3 i ) is the slope of the resistance of the i-th group of lines in the second group of operating parameters and the resistance in the third group of operating parameters in the trend graph; (K1, K2) is the safety situation performance value of the first operating parameter and the second operating parameter in three consecutive groups of real-time operating parameters of transmission and substations; (K2, K3) is the safety situation performance value of the second operating parameter and the third operating parameter in three consecutive groups of real-time operating parameters of transmission and substations;

[0031] Among them, the trend chart of the substation operation parameters is presented in the form of a line chart, the horizontal axis of the line chart is the monitoring period, and the vertical axis is the voltage, current and resistance of each line in the substation.

[0032] Furthermore, when the evaluation result of the operation safety situation of the transmission and substation is not within the safety judgment threshold, the transmission and substation is judged to be unsafe. Otherwise, it is identified whether (K1, K2)>(K2, K3) is established. If (K1, K2)>(K2, K3) is not established, the transmission and substation is judged to be unsafe. Otherwise, (K1, K3) is further obtained to identify whether Is it established? When it is not true, the substation is judged to be unsafe, otherwise, the substation is judged to be safe.

[0033] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0034] The present invention provides an intelligent monitoring method for power transmission and transformation equipment. During the execution of the method, the real-time operating parameters of the power transmission and transformation station are collected and analyzed, so as to bring about a real-time monitoring effect on the power transmission and transformation station. In the process of collecting the operating parameters of the power transmission and transformation station, a specific collection logic is used to achieve comprehensive coverage of the collection of the operating parameters of the power transmission and transformation station, thereby effectively improving the reliability and timeliness of the monitoring results of the power transmission and transformation station, ensuring that the operating faults that may occur during the operation of the power transmission and transformation station can be more easily monitored, thereby ensuring the long-term stable operation and safety of the power transmission and transformation station. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 The present invention is a flow chart of an intelligent monitoring method for power transmission and transformation equipment. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0038] The present invention will be further described below in conjunction with the embodiments.

[0039] Embodiment 1:

[0040] A method for intelligent monitoring of power transmission and transformation equipment in this embodiment, such as Figure 1 As shown, including:

[0041] Step 1: Upload the historical fault parameters of the transmission substation and collect the corresponding meteorological data of the historical faults of the transmission substation;

[0042] Step 2: Set the monitoring logic of the transmission and substation. Based on the set monitoring logic, monitor the operation-related data of the transmission and substation in real time, build a cloud database, and use the cloud database to store the monitored real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located;

[0043] Step 3: compare the real-time meteorological data of the area where the substation is located in the substation operation-related data monitored based on the monitoring logic with the meteorological data corresponding to the historical faults of the substation for similarity comparison;

[0044] Step 4: Obtain the real-time meteorological data of the area where the substation is located, and compare the similarity between the real-time meteorological data of the substation and the meteorological data of the historical faults. When the similarity is not less than 80%, insert the monitoring cycle.

[0045] Step 5: receiving the substation operation related data monitored based on the substation monitoring logic, and evaluating the substation operation safety situation based on the substation operation related data;

[0046] Step 6: Receive the operation safety situation assessment result of the transmission and substation, set the safety judgment threshold, and compare the safety judgment threshold with the operation safety situation assessment result of the transmission and substation to determine whether the transmission and substation is safe;

[0047] The similarity between the real-time meteorological data of the area where the substation is located and the meteorological data corresponding to the historical faults of the substation is obtained by the following formula:

[0048]

[0049] Where: sim(a,b) is the similarity between the real-time meteorological data a in the area where the substation is located and the meteorological data corresponding to the historical fault of the substation; t a RH a 、s a 、m rian-a 、m snow-a is the temperature, humidity, rainfall, wind level, and snowfall in the real-time meteorological data a of the area where the substation is located; χ is the normalization factor; t b RH b 、s b 、m rian-b 、m snow-b The temperature, humidity, rainfall, wind level, and snowfall in the meteorological data b corresponding to the historical faults of the transmission and substation;

[0050] Among them, the normalization factor χ=1×q, q is the number of items in the meteorological data. The larger the sim(a,b), the higher the similarity between the two sets of meteorological data. Conversely, the lower the similarity between the two sets of meteorological data. Based on the above formula, the real-time meteorological data of the area where the substation is located is compared with the meteorological data corresponding to the historical faults of each set of substations for similarity.

[0051] In this embodiment, through a specific substation operating parameter collection logic, the daily operating parameters of the substation are fully collected, and then the substation operation safety analysis is performed based on the collected substation operating parameters to ensure that the substation is more comprehensively monitored and thus operates more stably.

[0052] Embodiment 2:

[0053] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent monitoring method for power transmission and transformation equipment in Example 1 is further described in detail:

[0054] The historical fault parameters of the transmission and substation include: the voltage, current, resistance, fault line location information, and fault occurrence time of each line when the substation fails. The historical fault parameters of the transmission and substation are manually uploaded by the user end. Based on the fault occurrence time in the historical fault parameters of the transmission and substation, the meteorological data of the area where the transmission and substation is located in the same period of time is collected. The meteorological data includes: temperature, humidity, rainfall, wind level, and snowfall;

[0055] Among them, after the meteorological data corresponding to the historical faults of the substation are collected, they are synchronously bound with the historical fault parameters of the substation and stored.

[0056] Through the above settings, the content of the historical fault parameters of the transmission and substation and the meteorological data corresponding to the historical faults of the transmission and substation are limited.

[0057] like Figure 1 As shown, the operation-related data of the transmission and substation, i.e., the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located, are stored in the cloud database. The real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located are marked based on the corresponding monitoring timestamps of the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located, and the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located with the same mark are bound to each other. The real-time operation parameters of the transmission and substation include: the voltage, current, and resistance of each line of the substation, the setting of the monitoring logic of the transmission and substation, i.e., the setting of the monitoring period of the transmission and substation, and the monitoring logic of the transmission and substation is expressed as:

[0058] Logic1: Set the initial monitoring cycle of the transmission and substation, and use the initial monitoring cycle of the transmission and substation to monitor the operation-related data of the transmission and substation;

[0059] Logic 2: After monitoring the operation-related data of the transmission and substation twice in a row based on the monitoring cycle, the monitoring cycle is corrected based on the meteorological data in the monitored operation-related data;

[0060] Logic3: After the current monitoring cycle of the transmission and substation ends, the monitoring cycle correction result in Logic2 is applied to iterate the original configuration monitoring cycle of the transmission and substation;

[0061] The initial monitoring period of the substation set in Logic1 is no longer than 3 minutes, and Logic2 and Logic3 are executed once in each monitoring period;

[0062] Logic2's modification of the monitoring cycle is subject to:

[0063]

[0064] Where: d is the correction result of the monitoring period; is the base number for monitoring period correction; γ is the correction factor; t′, RH′, s w ′、m rain ′、m snow ′ is the temperature, humidity, rainfall, wind level, and snowfall first monitored during the initial monitoring period; t, RH, s w 、m rain 、m snow are the temperature, humidity, rainfall, wind level, and snowfall monitored for the second time based on the initial monitoring period; ω1, ω2, ω3, ω4, and ω5 are weights;

[0065] Among them, γ∈[-1,1], and obey The larger the value, the smaller the correction factor γ is. On the contrary, the larger the correction factor γ is, the larger the monitoring period correction base is. Manually set by the user, the initial default setting of the monitoring period correction base is 45 minutes, ω1+ω2+ω3+ω4+ω5=1.

[0066] In this embodiment, by setting the monitoring logic of the transmission and substation and the correction logic of the monitoring cycle, the monitoring logic of the transmission and substation is stably applied to the execution of the method in the embodiment, providing necessary execution data support for the execution steps in the embodiment.

[0067] Embodiment 3:

[0068] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent monitoring method for power transmission and transformation equipment in Example 1 is further described in detail:

[0069] In the process of monitoring the operation-related data of the transmission and substation based on the monitoring logic, when the similarity comparison result between the real-time meteorological data of the area where the transmission and substation is located and the meteorological data corresponding to the historical faults of the transmission and substation is not less than 80%, after the correction result of the monitoring cycle is obtained, half of the correction result of the monitoring cycle is used as the next monitoring cycle of the transmission and substation, and is placed between the current monitoring cycle and the correction result of the monitoring cycle;

[0070] Among them, the operation of applying half of the monitoring cycle correction result as the next monitoring cycle of the transmission and substation, and placing it between the current monitoring cycle and the monitoring cycle correction result, that is, the operation of inserting the monitoring cycle;

[0071] In the stage of evaluating the operation safety situation of the substation based on the operation-related data of the substation, the operation-related data of the substation monitored based on the monitoring logic of the substation is continuously received, and any three consecutive sets of the operation-related data of the substation are used to continuously evaluate the operation safety situation of the substation;

[0072] When evaluating the operation safety situation of a substation based on the operation-related data of the substation, the real-time operation parameters of the substation in the continuously received operation-related data of the substation are used to generate a trend chart of the operation parameters of the substation. The real-time operation parameters of the substation are further selected from the trend chart of the operation parameters of the substation to perform the operation safety situation evaluation of the substation. The operation safety situation evaluation logic of the substation is expressed as follows:

[0073]

[0074] Where: K1, K2, K3 are three sets of real-time operating parameters of the transmission and substation; n is the set of lines in the transmission and substation; s(V1 i ,V2 i ) is the slope of the voltage of the i-th group of lines in the first group of operating parameters and the voltage in the second group of operating parameters in the trend diagram; s(I1 i ,I2 i ) is the slope of the current of the i-th group of lines in the first group of operating parameters and the current of the second group of operating parameters in the trend diagram; s(R1 i ,R2 i ) is the slope of the resistance of the i-th group of lines in the first group of operating parameters and the resistance in the second group of operating parameters in the trend diagram; s(V2 i ,V3 i ) is the slope of the voltage of the i-th group of lines in the second group of operating parameters and the voltage in the third group of operating parameters in the trend diagram; s(I2 i ,I3 i ) is the slope of the current of the i-th group of lines in the second group of operating parameters and the current of the third group of operating parameters in the trend diagram; s(R2 i,R3 i ) is the slope of the resistance of the i-th group of lines in the second group of operating parameters and the resistance in the third group of operating parameters in the trend graph; (K1, K2) is the safety situation performance value of the first operating parameter and the second operating parameter in three consecutive groups of real-time operating parameters of transmission and substations; (K2, K3) is the safety situation performance value of the second operating parameter and the third operating parameter in three consecutive groups of real-time operating parameters of transmission and substations;

[0075] Among them, the trend chart of the transmission and substation operation parameters is expressed in the form of a line chart, the horizontal axis of the line chart is the monitoring period, and the vertical axis is the voltage, current, and resistance of each line of the substation;

[0076] When the result of the substation operation safety situation assessment is not within the safety judgment threshold, the substation is judged to be unsafe. Otherwise, identify whether (K1, K2)>(K2, K3) is established. If (K1, K2)>(K2, K3) is not established, the substation is judged to be unsafe. Otherwise, further obtain (K1, K3) and identify Is it established? When it is not true, the substation is judged to be unsafe, otherwise, the substation is judged to be safe.

[0077] In this embodiment, by setting the substation operation safety situation assessment logic, a final safety judgment is made on the substation, providing substation management user data reference, and performing more adaptive safety management of the substation to ensure the daily operation safety of the substation.

[0078] In summary, during the execution of the method in the above embodiment, by collecting and analyzing the real-time operating parameters of the substation, a real-time monitoring effect is brought to the substation, and in the process of collecting the operating parameters of the substation, a specific collection logic is used to achieve comprehensive coverage of the collection of the operating parameters of the substation, effectively improving the reliability and timeliness of the monitoring results of the substation, ensuring that the operating failures that may occur during the operation of the substation can be more easily monitored, thereby ensuring the long-term stable operation and safety of the substation.

[0079] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent monitoring of power transmission and transformation equipment, characterized in that: The following steps are involved: Step 1: Upload the historical fault parameters of the transmission substation and collect the corresponding meteorological data of the historical faults of the transmission substation; Step 2: Set the monitoring logic of the transmission and substation. Based on the set monitoring logic, monitor the operation-related data of the transmission and substation in real time, build a cloud database, and use the cloud database to store the monitored real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located; Step 3: compare the real-time meteorological data of the area where the substation is located in the substation operation-related data monitored based on the monitoring logic with the meteorological data corresponding to the historical faults of the substation for similarity comparison; Step 4: Obtain the real-time meteorological data of the area where the substation is located, and compare the similarity between the real-time meteorological data of the substation and the meteorological data of the historical faults. When the similarity is not less than 80%, insert the monitoring cycle. Step 5: receiving the substation operation related data monitored based on the substation monitoring logic, and evaluating the substation operation safety situation based on the substation operation related data; Step 6: Receive the operation safety situation assessment result of the transmission and substation, set the safety judgment threshold, and compare the safety judgment threshold with the operation safety situation assessment result of the transmission and substation to determine whether the transmission and substation is safe; The operation-related data of the transmission and substation, i.e., the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located, are stored in the cloud database, and are marked based on the corresponding monitoring timestamps of the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located, and the real-time operation parameters of the transmission and substation and the real-time meteorological data of the area where the transmission and substation is located with the same mark are bound to each other, the real-time operation parameters of the transmission and substation include: the voltage, current, and resistance of each line of the substation, the setting of the monitoring logic of the transmission and substation, i.e., the setting of the monitoring period of the transmission and substation, and the monitoring logic of the transmission and substation is expressed as: Logic1: Set the initial monitoring cycle of the transmission and substation, and use the initial monitoring cycle of the transmission and substation to monitor the operation-related data of the transmission and substation; Logic2: After monitoring the operation-related data of the transmission and substation for two consecutive times based on the monitoring cycle, modify the monitoring cycle based on the meteorological data in the monitored operation-related data; Logic3: After the current monitoring cycle of the transmission and substation ends, the monitoring cycle correction result in Logic2 is applied to iterate the original configuration monitoring cycle of the transmission and substation; The initial monitoring period of the substation set in Logic1 is no longer than 3 minutes, and Logic2 and Logic3 are executed once in each monitoring period; The modification of the monitoring cycle by Logic2 is subject to: Where: d is the correction result of the monitoring period; is the base number for monitoring period correction; γ is the correction factor; t′, RH′, s w ′、m rain ′、m snow ′ is the temperature, humidity, rainfall, wind level, and snowfall first monitored during the initial monitoring period; t, RH, s w 、m rain 、m snow are the temperature, humidity, rainfall, wind level, and snowfall monitored for the second time based on the initial monitoring period; ω1, ω2, ω3, ω4, and ω5 are weights; Among them, γ∈[-1,1], and obey The larger the value, the smaller the correction factor γ is. On the contrary, the larger the correction factor γ is, the larger the monitoring period correction base is. Manually set by the user, the monitoring cycle correction base is initially set to 45 minutes by default, ω1+ω2+ω3+ω4+ω5=1; The similarity between the real-time meteorological data of the area where the substation is located and the meteorological data corresponding to the historical faults of the substation is obtained by the following formula: Where: sim(a,b) is the similarity between the real-time meteorological data a of the area where the substation is located and the meteorological data b corresponding to the historical fault of the substation; a RH a 、s a 、m rian-a 、m snow-a is the temperature, humidity, rainfall, wind level, and snowfall in the real-time meteorological data a of the area where the substation is located; χ is the normalization factor; t b RH b 、s b 、m rian-b 、m snow-b The temperature, humidity, rainfall, wind level, and snowfall in the meteorological data b corresponding to the historical faults of the transmission and substation; Among them, the normalization factor χ=1×q, q is the number of items in the meteorological data. The larger the sim(a,b), the higher the similarity of the two sets of meteorological data. Conversely, the lower the similarity of the two sets of meteorological data. Based on the above formula, the real-time meteorological data of the area where the substation is located is compared with the meteorological data corresponding to each set of historical faults of the substation. In the process of monitoring the operation-related data of the transmission and substation based on the monitoring logic, when the similarity comparison result between the real-time meteorological data of the area where the transmission and substation is located and the meteorological data corresponding to the historical faults of the transmission and substation is not less than 80%, after the correction result of the monitoring cycle is obtained, half of the correction result of the monitoring cycle is used as the next monitoring cycle of the transmission and substation, and is placed between the current monitoring cycle and the correction result of the monitoring cycle; Among them, the operation of applying half of the monitoring cycle correction result as the next monitoring cycle of the transmission and substation, and placing it between the current monitoring cycle and the monitoring cycle correction result, that is, the operation of inserting the monitoring cycle; In the stage of evaluating the operation safety situation of the substation based on the operation-related data of the substation, the operation-related data of the substation monitored based on the monitoring logic of the substation is continuously received, and any three consecutive sets of the operation-related data of the substation are used to continuously evaluate the operation safety situation of the substation; When evaluating the operation safety situation of a substation based on the operation-related data of the substation, the real-time operation parameters of the substation in the continuously received operation-related data of the substation are used to generate a trend chart of the operation parameters of the substation, and the real-time operation parameters of the substation are further selected from the trend chart of the operation parameters of the substation to perform the operation safety situation evaluation of the substation. The operation safety situation evaluation logic of the substation is expressed as follows: Where: K1, K2, K3 are three sets of real-time operating parameters of the transmission and substation; n is the set of lines in the transmission and substation; s(V1 i ,V2 i ) is the slope of the voltage of the i-th group of lines in the first group of operating parameters and the voltage in the second group of operating parameters in the trend diagram; s(I1 i ,I2 i ) is the slope of the current of the i-th group of lines in the first group of operating parameters and the current of the second group of operating parameters in the trend diagram; s(R1 i ,R2 i ) is the slope of the resistance of the i-th group of lines in the first group of operating parameters and the resistance in the second group of operating parameters in the trend diagram; s(V2 i ,V3 i ) is the slope of the voltage of the i-th group of lines in the second group of operating parameters and the voltage in the third group of operating parameters in the trend diagram; s(I2 i ,I3 i ) is the slope of the current of the i-th group of lines in the second group of operating parameters and the current of the third group of operating parameters in the trend diagram; s(R2 i ,R3 i ) is the slope of the resistance of the i-th group of lines in the second group of operating parameters and the resistance in the third group of operating parameters in the trend graph; (K1, K2) is the safety situation performance value of the first operating parameter and the second operating parameter in three consecutive groups of real-time operating parameters of transmission and substations; (K2, K3) is the safety situation performance value of the second operating parameter and the third operating parameter in three consecutive groups of real-time operating parameters of transmission and substations; Among them, the trend chart of the transmission and substation operation parameters is expressed in the form of a line chart, the horizontal axis of the line chart is the monitoring period, and the vertical axis is the voltage, current, and resistance of each line of the substation; When the substation operation safety situation assessment result is not within the safety judgment threshold, the substation is judged to be unsafe. Otherwise, it is identified whether (K1, K2)>(K2, K3) is established. If (K1, K2)>(K2, K3) is not established, the substation is judged to be unsafe. Otherwise, (K1, K3) is further obtained to identify Is it established? When it is not true, the substation is judged to be unsafe, otherwise, the substation is judged to be safe.

2. The intelligent monitoring method for power transmission and transformation equipment according to claim 1, characterized in that: The historical fault parameters of the transmission and substation include: the voltage, current, resistance, fault line location information, and fault occurrence time of each line when the substation fails. The historical fault parameters of the transmission and substation are manually uploaded by the user end. Based on the fault occurrence time in the historical fault parameters of the transmission and substation, the meteorological data of the area where the transmission and substation is located in the same time period are collected. The meteorological data include: temperature, humidity, rainfall, wind level, and snowfall; Among them, after the meteorological data corresponding to the historical faults of the substation are collected, they are synchronously bound with the historical fault parameters of the substation and stored.

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