An intelligent monitoring system and method for an open-close station

Abstract

The application provides an open-close station intelligent monitoring system and method, and belongs to the technical field of power systems, and specifically comprises the following steps: obtaining constituent data of a decomposition matching period in a decomposition risk period, and determining whether the decomposition matching degree of the insulating gas of the open-close station meets the requirements by combining the change of the monitoring data of the insulating gas in different decomposition matching periods, the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods, and the matching condition of the change of the monitoring data of the insulating gas of the open-close station, determining the modification strategy of the monitoring equipment of the open-close station, and performing monitoring processing of the open-close station based on the monitoring equipment after modification, so that the reliability of the monitoring processing of the open-close station is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power systems, and particularly relates to an intelligent monitoring system and method for an open-close station. BACKGROUND

[0002] With the rapid development of new energy vehicles, in order to realize the charging processing of the charging station, the open-close station is the next level of the substation in the power system, and is a power supply facility for supplying high-voltage power to the charging station. It is not only the most basic unit at the bottom of the distribution network, but also a key device for ensuring the operation reliability of the charging station.

[0003] In order to realize the monitoring processing of the open-close station, the existing technical solution monitors the SF6 gas content, temperature, humidity, equipment contact temperature and water level, so as to ensure the operation stability of the open-close station and can timely perform early warning, but the existing technical solution has the following technical problems:

[0004] For the charging station, the load thereof will change with the change of the charging demand of the electric vehicle, especially with the increase of the number of electric vehicles, the load of the charging station will also increase, which may cause the original monitoring means to be difficult to meet the monitoring demand, and therefore how to optimize and adjust the monitoring strategy of the open-close station according to the change of the charging condition of the charging station becomes a technical problem to be solved.

[0005] Therefore, in order to solve the above technical problems, the application provides an intelligent monitoring system and method for an open-close station. SUMMARY

[0006] In order to achieve the object of the application, the application adopts the following technical solutions:

[0007] In order to achieve the above object of the application, the application provides an intelligent monitoring method for an open-close station, which includes the following contents:

[0008] S1 taking the charging station supplied with power by the open-close station as a target charging station, determining the decomposition risk period of the insulation gas of the open-close station based on the charging load data of the charging station when the insulation gas of the open-close station has a change risk hidden danger according to the change of the monitoring data of the insulation gas of the open-close station;

[0009] S2 determining the decomposition matching period in different decomposition risk periods based on the charging load data in different decomposition risk periods and the change of the monitoring data of the insulation gas of the open-close station;

[0010] S3 obtains the constituent data of the decomposition matching period in the decomposition risk period, and determines the decomposition matching degree of the insulating gas of the switchyard to meet the requirements by combining the variation of the monitoring data of the insulating gas in different decomposition matching periods, determines the modification strategy of the monitoring device of the switchyard by matching the over-temperature monitoring data of the temperature monitoring device in different decomposition risk periods with the variation of the monitoring data of the insulating gas of the switchyard, and performs the monitoring processing of the switchyard based on the monitoring device after modification.

[0011] Further, the insulating gas is SF6.

[0012] Further, the variation of the monitoring data of the insulating gas includes the concentration variation between the monitoring concentrations of the insulating gas on different dates.

[0013] Further, the determination of the variation risk hidden danger of the insulating gas of the switchyard includes:

[0014] determining the historical monitoring concentrations of the insulating gas of the switchyard on different dates according to the variation of the monitoring data of the insulating gas of the switchyard;

[0015] determining the deviation between the initial concentration and the monitoring concentration on the current date of the insulating gas of the switchyard according to the historical monitoring concentrations on different dates, and taking the deviation as the concentration variation;

[0016] determining whether the insulating gas of the switchyard has a variation risk hidden danger based on the concentration variation.

[0017] Further, the determination of the modification strategy of the monitoring device of the switchyard includes:

[0018] determining the number of over-temperature positions in different decomposition risk periods and the over-temperature time length of different over-temperature positions according to the over-temperature monitoring data of the temperature monitoring device in different decomposition risk periods;

[0019] determining the decomposition prediction value of the insulating gas in different decomposition risk periods according to the over-temperature time length of different over-temperature positions;

[0020] determining the modification strategy of the monitoring device of the switchyard by the decomposition prediction value of the insulating gas in different decomposition risk periods and the concentration variation of the insulating gas of the switchyard.

[0021] In a second aspect, the application provides a switchyard intelligent monitoring system, which adopts the switchyard intelligent monitoring method and includes the following contents.

[0022] a risk period positioning module, a matching period positioning module, and a modification strategy determination module;

[0023] The risk period positioning module is responsible for determining a decomposition risk period of the insulation gas of the switching station.

[0024] The matching period positioning module is responsible for determining a decomposition matching period in different decomposition risk periods.

[0025] The modification strategy determination module is responsible for determining a modification strategy of the monitoring device of the switching station.

[0026] The present application has the following beneficial effects:

[0027] The present application determines whether the insulation gas of the switching station has a variation risk hidden danger based on the variation of the monitoring data of the insulation gas of the switching station, fully considers that when there is an abnormality in the temperature of the insulation mechanism of the switching station, the concentration of the insulation gas of the switching station will change, realizes the evaluation of the temperature abnormality degree from the variation of the insulation gas, and further realizes the determination of the targeted modification strategy of the monitoring device of the switching station, thereby ensuring that the switching station can timely and effectively change the monitoring strategy when the load varies.

[0028] The present application determines the modification strategy of the monitoring device of the switching station based on the matching of the over-temperature monitoring data of the temperature monitoring device in different decomposition risk periods and the variation of the monitoring data of the insulation gas of the switching station, realizes the determination of the matching of the concentration variation of the insulation gas caused by the over-temperature abnormality and the variation of the monitoring data of the insulation gas of the switching station, ensures that the temperature monitoring is reliable, and lays a foundation for generating a differentiated modification processing strategy according to the difference in the matching degree.

[0029] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description and the drawings, or can be learned by practice of the application as claimed in the claims.

[0030] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0031] The above and other features and advantages of the present application will become more apparent from the following detailed description of example embodiments thereof, with reference to the accompanying drawings.

[0032] Figure 1 A flowchart of a switching station intelligent monitoring method;

[0033] Figure 2 A flowchart of determining that the insulation gas of the switching station has a variation risk hidden danger;

[0034] Figure 3 is a flowchart of a method for determining a decomposition matching period in a decomposition risk period;

[0035] Figure 4 is a framework diagram of an intelligent monitoring system of an open-close station. DETAILED DESCRIPTION

[0036] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those skilled in the art without creative labor should be within the protection scope of the specification.

[0037] Embodiment 1

[0038] Specifically, as shown in the figure, an intelligent monitoring method of an open-close station includes the following contents: Figure 1

[0039] S1 taking a charging station powered by an open-close station as a target charging station, determining a decomposition risk period of insulating gas of the open-close station based on charging load data of the charging station when the insulating gas of the open-close station has a variation risk hidden danger according to variation of monitoring data of the insulating gas of the open-close station;

[0040] Further, the insulating gas is SF6.

[0041] Specifically, the variation of the monitoring data of the insulating gas includes a concentration variation amount of the monitoring concentration of the insulating gas between different dates.

[0042] It should be noted that, as shown in the figure, determining that the insulating gas of the open-close station has a variation risk hidden danger specifically includes: Figure 2

[0043] determining historical monitoring concentrations of the insulating gas of the open-close station on different dates according to the variation of the monitoring data of the insulating gas of the open-close station;

[0044] determining a deviation amount of the initial concentration of the insulating gas of the open-close station and the monitoring concentration of the current date from the historical monitoring concentrations on different dates, and taking it as a concentration variation amount;

[0045] determining whether the insulating gas of the open-close station has a variation risk hidden danger based on the concentration variation amount.

[0046] ​​Specifically, when the concentration variation does not meet the requirement, i.e. is greater than a certain variation threshold, it is determined that the insulating gas of the switchyard has a variation risk hidden danger.

[0047] It can be understood that when the insulating gas of the switchyard does not have a variation risk hidden danger, the original monitoring device is continued to be used to perform the monitoring processing of the switchyard.

[0048] In another embodiment, determining that the insulating gas of the switchyard has a variation risk hidden danger specifically includes:

[0049] determining, based on the variation of the monitoring data of the insulating gas of the switchyard, historical monitoring concentrations of the insulating gas of the switchyard on different dates;

[0050] determining, based on the historical monitoring concentrations on different dates, variation amounts of the historical monitoring concentrations on different dates and a previous date, and taking the variation amounts as historical variation amounts;

[0051] determining, based on the historical variation amounts on different dates, whether the insulating gas of the switchyard has a variation risk hidden danger.

[0052] Specifically, when the historical variation amounts are large, i.e. the number of dates in a certain interval of the historical variation amounts is large, it is determined that the insulating gas of the switchyard has a variation risk hidden danger, wherein in a possible embodiment, whether the number of dates in a certain interval of the historical variation amounts is large can be determined by a threshold value.

[0053] Further, the decomposition risk period of the insulating gas of the switchyard is a period in which the average charging load of the charging station is greater than a preset load threshold.

[0054] S2 determines, based on the charging load data in different decomposition risk periods and the variation of the monitoring data of the insulating gas of the switchyard, decomposition matching periods in different decomposition risk periods;

[0055] Specifically, as shown in Figure 3 the determination method of the decomposition matching period in the decomposition risk period is:

[0056] dividing the decomposition risk period into a plurality of target intervals according to a preset period, and determining variation amounts of historical monitoring concentrations of the insulating gas in the target intervals;

[0057] determining, based on the charging load data in different decomposition risk periods, average charging loads in different decomposition risk periods;

[0058] According to the average charging load in different decomposition risk periods in the target interval and the variation amount of the historical monitoring concentration of the insulating gas in the target interval, it is determined whether the target risk period is a decomposition matching period.

[0059] Specifically, according to the average charging load in different decomposition risk periods in the target interval and the variation amount of the historical monitoring concentration of the insulating gas in the target interval, it is determined whether the decomposition risk period is a decomposition matching period, specifically including:

[0060] Based on the average charging load in the decomposition risk period, a decomposition influence factor in a unit time length under the average charging load is determined;

[0061] By the length of different decomposition risk periods and the decomposition influence factor, a sum of the products of the decomposition influence factor and the length of different decomposition risk periods is determined, and the sum is taken as an influence factor, and based on the influence factor, a preset variation range of the historical monitoring concentration of the insulating gas in the target interval is determined;

[0062] According to the variation amount of the historical monitoring concentration and the preset variation range, it is determined whether the decomposition risk period is a decomposition matching period.

[0063] Specifically, the decomposition influence factor is determined according to the product of a preset proportion factor and the average charging load, wherein the preset variation range is determined according to the preset variation interval of the corresponding insulating gas under the influence factor of the decomposition risk period.

[0064] Specifically, when the variation amount of the historical monitoring concentration is not within the preset variation range, it is determined that the decomposition risk period does not belong to the decomposition matching period.

[0065] In another possible embodiment, the method for determining the decomposition matching period in the decomposition risk period is:

[0066] S21 divides the decomposition risk period into a plurality of target intervals according to a preset period, and determines the variation amount of the historical monitoring concentration of the insulating gas in the target interval;

[0067] It can be understood that in one of the embodiments, if the variation amount of the historical monitoring concentration of the insulating gas in the target interval is not within the preset variation amount interval, specifically for the insulating gas, the charging load is limited, so it is not possible to vary too much, so when it varies too much, i.e. not within the preset variation amount interval, it can be directly determined that the decomposition risk period does not belong to the decomposition matching period.

[0068] In addition, when the variation is too small and is not within the preset variation range, the concentration of the insulating gas does not change significantly at this time, and thus it can be determined that the decomposition risk period within the target range belongs to the decomposition matching period.

[0069] S22 determines the average charging load in different decomposition risk periods within the target range based on the charging load data in the different decomposition risk periods, and determines the load proportion factor of the different decomposition risk periods based on the ratio of the average charging load to a preset load threshold.

[0070] In addition, it needs to be noted that before entering the next step, it also needs to be determined whether the number of decomposition risk periods within the target range meets the requirements and whether the total length of the decomposition risk periods meets the requirements. Specifically, when the number of decomposition risk periods within the target range is small and the total length of the decomposition risk periods is short, it generally does not affect the excessive variation of the concentration, and thus it can be directly determined that the decomposition risk period does not belong to the distribution matching period. The number is too small and the total length is short in the above-mentioned are determined by threshold.

[0071] Optionally, even if the number of decomposition risk periods within the target range and the total length of the decomposition risk periods both meet the requirements, it still needs to be further determined whether the average value of the load proportion factors of the different decomposition risk periods is large. If the average value of the load proportion factors of the different decomposition risk periods is large, it will have a greater impact on the concentration, and thus in this case, if the number of decomposition risk periods within the target range and the total length of the decomposition risk periods both meet the requirements, i.e., are large and not short, it can be determined that the decomposition risk period within the target range is a decomposition matching period.

[0072] S23 determines whether the decomposition risk period within the target range is a decomposition matching period according to the load proportion factor of the different decomposition risk periods and the variation of the historical monitoring concentration of the insulating gas within the target range.

[0073] In one of the embodiments, the sum of the products of the load proportion factor and the length of the different target risk periods is determined as an impact factor by the length of the different target risk periods and the load proportion factor, and a preset variation range of the historical monitoring concentration of the insulating gas within a preset period is determined based on the impact factor. According to the variation of the historical monitoring concentration and the preset variation range, it is determined whether the target risk period is a decomposition matching period.

[0074] Specifically, when the variation of the historical monitoring concentration is not within the preset variation range, it is determined that the target risk period does not belong to the decomposition matching period.

[0075] Further, it needs to be further explained that if there is no allocation matching period, then it can be explained that at this time the concentration variation of the insulating gas may be caused by leakage, and therefore the modification strategy of the monitoring device of the switchyard is only to install the leakage monitoring device.

[0076] S3 obtains the constituent data of the decomposition matching period in the decomposition risk period, and determines, in combination with the variation of the monitoring data of the insulating gas in different decomposition matching periods, that the decomposition matching degree of the insulating gas of the switchyard meets the requirement, to determine, by matching the over-temperature monitoring data of the temperature monitoring device in different decomposition risk periods and the variation of the monitoring data of the insulating gas of the switchyard, the modification strategy of the monitoring device of the switchyard, and perform the monitoring processing of the switchyard based on the monitoring device after the modification is completed.

[0077] Further, the constituent data of the decomposition matching period in the decomposition risk period includes the number of decomposition matching periods in the decomposition risk period and the number proportion.

[0078] Specifically, determining that the decomposition matching degree of the insulating gas of the switchyard meets the requirement specifically includes:

[0079] determining the number proportion of the decomposition matching period in the decomposition risk period based on the constituent data of the decomposition matching period in the decomposition risk period, and taking the number proportion as the matching number proportion;

[0080] determining the variation amount of the historical monitoring concentration in the target interval corresponding to different decomposition matching periods based on the variation of the monitoring data of the insulating gas in different decomposition matching periods, and taking the sum of the variation amount of the historical monitoring concentration in the target interval corresponding to different decomposition matching periods as the total variation amount;

[0081] determining whether the decomposition matching degree of the insulating gas of the switchyard meets the requirement based on the matching period proportion and the proportion of the total variation amount in the concentration variation amount.

[0082] Specifically, when the decomposition period proportion does not meet the requirement or the proportion of the total variation amount in the concentration variation amount does not meet the requirement, that is, the decomposition period proportion is too small or the proportion of the total variation amount in the concentration variation amount is too small, it is determined that the decomposition matching degree of the insulating gas of the switchyard does not meet the requirement.

[0083] It can be understood that when the decomposition matching degree of the insulating gas of the switchyard does not meet the requirement, it means that the probability of the decomposition of the insulating gas caused by over-temperature is small at this time, and the greater probability is the concentration variation caused by leakage, and therefore the modification strategy of the monitoring device of the switchyard is only to install the leakage monitoring device.

[0084] Optionally, in another possible embodiment, determining that the decomposition matching degree of the insulating gas of the switchyard meets the requirement specifically comprises:

[0085] S31 determines the variation amount of the historical monitoring concentration in the target interval corresponding to the different decomposition matching periods according to the variation of the monitoring data of the insulating gas in the different decomposition matching periods, takes the sum of the variation amount of the historical monitoring concentration in the target interval corresponding to the different decomposition matching periods as the total variation amount, and determines the variation deviation value based on the deviation value of the concentration variation amount and the total variation amount;

[0086] It should be noted that in one of the embodiments, it is further required to determine whether the variation deviation value meets the requirement in the above step. Specifically, when the variation deviation value is small, it indicates that the probability of the concentration variation caused by the decomposition of the insulating gas of the switchyard is large at this time, and thus it can be directly determined that the decomposition matching degree of the insulating gas of the switchyard meets the requirement.

[0087] In addition, it should be noted that even if the variation deviation value is not small, if the variation deviation value is too large at this time, i.e., greater than a threshold value, it can be directly determined that the decomposition matching degree of the insulating gas of the switchyard does not meet the requirement at this time.

[0088] In addition, if the variation deviation value is not large, i.e., within a certain interval, and the concentration variation amount is large, i.e., greater than a threshold value, if only the installation of the leakage monitoring equipment is required, the monitoring probability of the temperature anomaly may be small, and thus it can be directly determined that the modification strategy is to perform the setting modification processing of the temperature monitoring device according to the preset strategy and further perform the installation processing of the leakage monitoring equipment. Only when the variation deviation value is not large and the concentration variation amount is not greater than the threshold value, the next step is required.

[0089] S32 determines the number of the decomposition risk period excluding the decomposition matching period according to the composition data of the decomposition matching period in the decomposition risk period, and takes it as the number of the matching deviation period;

[0090] It should be noted that in the above step, it is further required to determine whether the number of the matching deviation period is too large and whether the proportion of the number of the decomposition matching period in the decomposition risk period meets the requirement. Specifically, if the number of the matching deviation period is too large or the proportion of the number of the decomposition matching period in the decomposition risk period does not meet the requirement, i.e., greater than a fixed threshold value, the probability of the concentration variation of the insulating gas of the switchyard caused by the decomposition is not large at this time, and thus it can be directly determined that the decomposition matching degree of the insulating gas of the switchyard does not meet the requirement.

[0091] Further, it is to be noted that even if the number of matching deviation periods is not too large and the proportion of the number of decomposition matching periods in the decomposition risk period meets the requirements, the matching deviation value can be determined by the ratio of the number of matching deviation periods to the proportion of the number of decomposition matching periods in the decomposition risk period. When the matching deviation value is greater than a certain threshold, it can be directly determined that the decomposition matching degree of the insulating gas of the open-close station does not meet the requirements.

[0092] S33 determines whether the decomposition matching degree of the insulating gas of the open-close station meets the requirements based on the variation deviation value and the number of matching deviation periods.

[0093] For example, the decomposition matching deviation value of the insulating gas of the open-close station can be determined by the average of the variation deviation value and the matching deviation value. When the decomposition matching deviation value is greater than a certain deviation threshold, it is determined that the decomposition matching degree of the insulating gas of the open-close station does not meet the requirements.

[0094] Specifically, the method for determining the modification strategy of the monitoring device of the open-close station comprises:

[0095] determining the number of over-temperature sites in different decomposition risk periods and the over-temperature duration of different over-temperature sites based on the over-temperature monitoring data of the temperature monitoring device in different decomposition risk periods;

[0096] determining the decomposition prediction value of the insulating gas in different decomposition risk periods according to the over-temperature duration of different over-temperature sites;

[0097] determining the modification strategy of the monitoring device of the open-close station based on the decomposition prediction value of the insulating gas in different decomposition risk periods and the concentration variation of the insulating gas of the open-close station.

[0098] In one possible embodiment, the decomposition prediction value is determined according to the prediction value of the decomposition amount of the insulating gas caused by the over-temperature site in the over-temperature duration. Specifically, the prediction result of the prediction model with the over-temperature duration as the input quantity is determined. In one possible embodiment, the prediction model is built by a neural network algorithm.

[0099] Specifically, the modification strategy of the monitoring device of the open-close station is determined based on the decomposition prediction value of the insulating gas in different decomposition risk periods and the concentration variation of the insulating gas of the open-close station, specifically comprising:

[0100] determining the sum of the decomposition prediction values of different decomposition risk periods based on the decomposition prediction value of the insulating gas in different decomposition risk periods, and taking the sum as the decomposition prediction quantity;

[0101] When the difference between the concentration variation and the decomposition prediction is not large, i.e. within a certain interval, no modification treatment of the monitoring equipment of the opening and closing station is needed;

[0102] If the difference between the concentration variation and the decomposition prediction is large, i.e. not within a certain interval, it is further determined whether the difference between the concentration variation and the decomposition prediction is greater than the deviation threshold. If yes, in addition to the influence of decomposition, there may also be a risk of leakage, so modification treatment of the setting of the temperature monitoring device according to the preset strategy is needed, and installation treatment of the leakage monitoring equipment is further needed. If no, since the difference itself is not very large, the probability of leakage is not large, and it may be that the over-temperature equipment is not effectively monitored, so only the setting of the temperature monitoring device according to the preset strategy is needed.

[0103] Specifically, the preset strategy is to set the temperature monitoring device at the preset position of the opening and closing station. Specifically, the position prone to over-temperature can be determined according to the position determined in advance.

[0104] Embodiment 2

[0105] In a second aspect, as Figure 4 shown, the present application provides an intelligent monitoring system for an opening and closing station, which adopts the intelligent monitoring method for an opening and closing station described above, and includes the following contents:

[0106] a risk period positioning module, a matching period positioning module, and a modification strategy determination module.

[0107] The risk period positioning module is responsible for determining the decomposition risk period of the insulating gas of the opening and closing station.

[0108] The matching period positioning module is responsible for determining the decomposition matching period in different decomposition risk periods.

[0109] The modification strategy determination module is responsible for determining the modification strategy of the monitoring equipment of the opening and closing station.

[0110] Each embodiment in the specification is described in a progressive manner, and the same and similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. Especially, since the device, equipment, and non-volatile computer storage medium embodiments are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0111] The above-described embodiments of the application have special structure and can achieve the desired results. Other embodiments can have different structures and achieve the same results. The purpose of the above-described embodiments is to illustrate the principles of the application and not to limit the scope of the application. The scope of the application is defined by the claims and their equivalents. Other embodiments are within the scope of the claims.

[0112] The above description is merely illustrative of the embodiments of the present application and is not intended to limit the scope of the present application. Various modifications can be made by those skilled in the art based upon the teachings disclosed herein. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application shall fall within the scope of the claims of the present application.

Claims

1. An intelligent monitoring method for opening and closing, characterized by, Specifically comprising: The charging station powered by the opening and closing station is taken as a target charging station, and when the insulating gas of the opening and closing station has a variation risk, the decomposition risk period of the insulating gas of the opening and closing station is determined based on the charging load data of the charging station; Based on the charging load data in different decomposition risk periods and the variation of the monitoring data of the insulating gas of the opening and closing station, the decomposition matching period in different decomposition risk periods is determined; When the decomposition matching degree of the insulating gas of the opening and closing station meets the requirements, the reconstruction strategy of the monitoring equipment of the opening and closing station is determined based on the matching of the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods and the variation of the monitoring data of the insulating gas of the opening and closing station, and the monitoring processing of the opening and closing station is performed based on the monitoring equipment after the reconstruction is completed; When the insulating gas of the opening and closing station has a variation risk, specifically comprising: The historical monitoring concentration of the insulating gas of the opening and closing station on different dates is determined based on the variation of the monitoring data of the insulating gas of the opening and closing station; The deviation amount of the initial concentration of the insulating gas of the opening and closing station and the monitoring concentration on the current date is determined based on the historical monitoring concentration on different dates, and the deviation amount is taken as the concentration variation amount; Whether the insulating gas of the opening and closing station has a variation risk is determined based on the concentration variation amount; The determination method of the decomposition matching period in the decomposition risk period is: The decomposition risk period is divided into a plurality of target intervals according to a preset period, and the variation amount of the historical monitoring concentration of the insulating gas in the target interval is determined; The average charging load in different decomposition risk periods is determined based on the charging load data in different decomposition risk periods; Whether the target risk period is a decomposition matching period is determined based on the average charging load in different decomposition risk periods in the target interval and the variation amount of the historical monitoring concentration of the insulating gas in the target interval.

2. The method of claim 1, wherein the opening and closing of the door is monitored by a sensor. The insulating gas is SF6.

3. The method of claim 1, wherein the opening and closing of the door is monitored by a sensor. The variation of the monitoring data of the insulating gas includes the concentration variation amount of the monitoring concentration of the insulating gas between different dates.

4. The method of claim 1, wherein the opening and closing of the door is monitored by a sensor. When the insulating gas of the opening and closing station does not have a variation risk, the original monitoring equipment is continued to be used to perform the monitoring processing of the opening and closing station.

5. The method of claim 1, wherein the method further comprises: The decomposition risk period of the insulating gas of the opening and closing station is a period in which the average charging load of the charging station is greater than a preset load threshold.

6. The method of claim 1, wherein the opening and closing of the door is monitored by a sensor. The composition data of the decomposition matching period in the decomposition risk period includes the number of decomposition matching periods in the decomposition risk period and the number ratio.

7. The method of claim 1, wherein the method further comprises: determining whether the door is open or closed; and determining whether the door is open or closed based on the determined position of the door. The determination method of the reconstruction strategy of the monitoring equipment of the opening and closing station is: The number of over-temperature positions in different decomposition risk periods and the over-temperature duration of different over-temperature positions are determined based on the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods; The decomposition prediction value of the insulating gas in different decomposition risk periods is determined based on the over-temperature duration in different over-temperature positions; The reconstruction strategy of the monitoring device of the switchyard is determined by the decomposition prediction value of the insulating gas in different decomposition risk periods and the concentration variation of the insulating gas of the switchyard.

8. An intelligent monitoring system for open-close station, which adopts the intelligent monitoring method for open-close station according to any one of claims 1-7. Specifically comprising: a risk period positioning module, a matching period positioning module, and a reconstruction strategy determination module; The risk period positioning module is responsible for determining the decomposition risk period of the insulating gas of the switchyard. The matching period positioning module is responsible for determining the decomposition matching period in different decomposition risk periods. The reconstruction strategy determination module is responsible for determining the reconstruction strategy of the monitoring device of the switchyard.

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