Intelligent monitoring system and method for switching station

Abstract

The invention provides an intelligent monitoring system and method for a switching station, and belongs to the technical field of power systems, and the method specifically comprises the steps: obtaining the composition data of a decomposition matching time period in a decomposition risk time period, and determining the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods when the decomposition matching degree of the insulating gas of the closed substation meets the requirement in combination with the change condition of the monitoring data of the insulating gas in different decomposition matching periods. The transformation strategy of the monitoring equipment of the switching station is determined according to the matching condition of the monitoring data of the insulating gas of the switching station and the change condition of the monitoring data of the insulating gas of the switching station, and the monitoring processing of the switching station is performed based on the transformed monitoring equipment, so that the reliability of the monitoring processing of the switching station is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to an intelligent monitoring system and method for a switchgear station. Background Art

[0002] With the rapid development of new energy vehicles, switchgear, located below the substation in the power system, is crucial for managing charging stations. It is the power facility that distributes high-voltage power to charging stations. It is not only the most fundamental unit in the distribution network but also a key component in ensuring the operational reliability of charging stations.

[0003] To monitor and control the switchgear, existing technical solutions monitor SF6 gas content, temperature, humidity, equipment contact temperature, and water level to ensure the operational stability of the switchgear and provide timely warnings. However, these existing technical solutions have the following technical problems: For charging stations, their load often changes with the charging demand of electric vehicles. In particular, as the number of electric vehicles increases, the load of the charging station will also increase. This may make it difficult for the original monitoring methods to meet the monitoring needs. Therefore, how to optimize and adjust the monitoring strategy of the switchgear according to the changes in the charging situation of the charging station has become a technical problem that needs to be solved urgently.

[0004] Therefore, in order to solve the above technical problems, the present application provides an intelligent monitoring system and method for a switchgear. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: To achieve the above-mentioned purpose of the invention, the present application provides a method for intelligent monitoring of a switchgear station, comprising the following contents: S1 takes a charging station powered by a switchgear as a target charging station, and when it is determined that there is a risk of change in the insulating gas of the switchgear based on the changes in the monitoring data of the insulating gas of the switchgear, determines a decomposition risk period of the insulating gas of the switchgear based on the charging load data of the charging station; S2 determines the decomposition matching period in different decomposition risk periods based on the charging load data in different decomposition risk periods and the changes in the monitoring data of the insulating gas of the switchgear; S3 obtains the constituent data of the decomposition matching period in the decomposition risk period, and determines whether the decomposition matching degree of the insulating gas of the switchgear meets the requirements in combination with the changes in the monitoring data of the insulating gas in different decomposition matching periods. The transformation strategy of the monitoring equipment of the switchgear is determined based on the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods and the matching situation of the changes in the monitoring data of the insulating gas of the switchgear, and the monitoring processing of the switchgear is performed based on the monitoring equipment after the transformation.

[0006] A further technical solution is that the insulating gas is SF6.

[0007] A further technical solution is that the change in the monitoring data of the insulating gas includes a concentration change of the monitoring concentration of the insulating gas between different dates.

[0008] A further technical solution is to determine whether there is a risk of change in the insulating gas of the switchgear, specifically including: Determining historical monitoring concentrations of the insulating gas in the switchgear on different dates based on changes in monitoring data of the insulating gas in the switchgear; Determine the deviation between the initial concentration of the insulating gas in the switchgear and the monitored concentration on the current date based on the historical monitored concentrations on different dates, and use the deviation as the concentration variation; Based on the concentration variation, it is determined whether there is a risk of variation in the insulating gas of the switchgear.

[0009] A further technical solution is that the method for determining the transformation strategy of the monitoring equipment of the switchgear is: Determine the number of over-temperature locations and the duration of over-temperature at each over-temperature location in each decomposition risk period using over-temperature monitoring data from a temperature monitoring device in each decomposition risk period; Determine the predicted decomposition value of the insulating gas at different decomposition risk periods based on the over-temperature duration at different over-temperature locations; The modification strategy of the monitoring equipment of the switchgear is determined by comparing the decomposition prediction value of the insulating gas in different decomposition risk periods with the concentration variation of the insulating gas in the switchgear.

[0010] In a second aspect, the present application provides a switchgear intelligent monitoring system, which adopts the above-mentioned switchgear intelligent monitoring method, including the following contents: Risk period positioning module, matching period positioning module, and transformation strategy determination module; The risk period positioning module is responsible for determining the decomposition risk period of the insulating gas in the switchgear; The matching period positioning module is responsible for determining the decomposition matching period in different decomposition risk periods; The transformation strategy determination module is responsible for determining the transformation strategy of the monitoring equipment of the switchgear station.

[0011] The beneficial effects of the present invention are: Based on the changes in the monitoring data of the insulating gas in the switchgear, it is determined whether there are any risks of changes in the insulating gas in the switchgear. Taking into full consideration the fact that the concentration of the insulating gas in the switchgear will change when the temperature of the insulating mechanism of the switchgear is abnormal, the degree of temperature anomaly is evaluated from the perspective of the changes in the insulating gas, and then the targeted transformation strategy of the monitoring equipment of the switchgear is determined, ensuring that the monitoring strategy of the switchgear can be changed in a timely and effective manner when the load changes.

[0012] The transformation strategy of the monitoring equipment of the switchgear is determined by matching the over-temperature monitoring data of the temperature monitoring equipment and the changes in the monitoring data of the insulating gas of the switchgear in different decomposition risk periods. The matching between the changes in the concentration of the insulating gas caused by the over-temperature anomaly and the changes in the monitoring data of the insulating gas of the switchgear is determined, which ensures that no transformation is required when the temperature monitoring reliability is high. At the same time, it also lays the foundation for generating differentiated transformation and processing strategies according to the differences in the degree of matching.

[0013] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0014] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings; Figure 1 It is a flow chart of a method for intelligent monitoring of a switchgear station; Figure 2 This is a flow chart to determine if there is a risk of changes in the insulating gas in the switchgear station; Figure 3 is a flow chart of a method for determining a decomposition matching period in a decomposition risk period; Figure 4 It is a framework diagram of a switchgear intelligent monitoring system. DETAILED DESCRIPTION

[0016] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0017] Example 1 Specifically, such as Figure 1 As shown, a method for intelligent monitoring of a switchgear station includes the following contents: S1 takes a charging station powered by a switchgear as a target charging station, and when it is determined that there is a risk of change in the insulating gas of the switchgear based on the changes in the monitoring data of the insulating gas of the switchgear, determines a decomposition risk period of the insulating gas of the switchgear based on the charging load data of the charging station; Furthermore, the insulating gas is SF6.

[0018] Specifically, the change in the monitoring data of the insulating gas includes the concentration change of the monitoring concentration of the insulating gas between different dates.

[0019] It should be noted that if Figure 2 As shown, it is determined that there is a risk of change in the insulating gas of the switchgear, specifically including: Determining historical monitoring concentrations of the insulating gas in the switchgear on different dates based on changes in monitoring data of the insulating gas in the switchgear; Determine the deviation between the initial concentration of the insulating gas in the switchgear and the monitored concentration on the current date based on the historical monitored concentrations on different dates, and use the deviation as the concentration variation; Based on the concentration variation, it is determined whether there is a risk of variation in the insulating gas of the switchgear.

[0020] Specifically, when the concentration variation does not meet the requirement, that is, is greater than a certain variation threshold, it is determined that there is a risk of variation in the insulating gas of the switchgear.

[0021] It is understandable that when there is no risk of changes in the insulating gas of the switchgear, the original monitoring equipment will continue to be used to monitor the switchgear.

[0022] In another embodiment, determining that there is a risk of change in the insulating gas of the switchgear station specifically includes: Determining historical monitoring concentrations of the insulating gas in the switchgear on different dates based on changes in monitoring data of the insulating gas in the switchgear; Based on the historical monitoring concentrations on different dates, determine the change in historical monitoring concentrations between different dates and the previous date, and use it as the historical change; Based on the historical changes on different dates, it is determined whether there is a risk of changes in the insulating gas of the switchgear.

[0023] Specifically, when the historical variation is large, that is, the number of dates with historical variation within a certain interval is too large, it is determined that there is a risk of variation in the insulating gas of the switchgear. In a possible embodiment, a threshold can be used to determine whether the number of dates with historical variation within a certain interval is too large.

[0024] Furthermore, the decomposition risk period of the insulating gas in the switchgear is a period when the average charging load of the charging station is greater than a preset load threshold.

[0025] S2 determines the decomposition matching period in different decomposition risk periods based on the charging load data in different decomposition risk periods and the changes in the monitoring data of the insulating gas of the switchgear; Specifically, such as Figure 3 As shown, the method for determining the decomposition matching period in the decomposition risk period is: Dividing the risk decomposition period into a plurality of target intervals according to a preset period, and determining a change in the historical monitoring concentration of the insulating gas within the target intervals; Determine the average charging load in the different decomposed risk periods using the charging load data in the different decomposed risk periods; Whether the target risk period is a decomposition matching period is determined according to the average charging load in different decomposition risk periods within the target interval and the variation of the historical monitoring concentration of the insulating gas within the target interval.

[0026] Specifically, determining whether the decomposition risk period is a decomposition matching period according to the average charging load in different decomposition risk periods within the target interval and the change in the historical monitoring concentration of the insulating gas within the target interval includes: Determining, based on the average charging load in the decomposed risk period, a decomposed impact factor per unit time under the average charging load; By determining the duration of different risk decomposition periods and the decomposition impact factors, the sum of the products of the decomposition impact factors and the duration of the different risk decomposition periods is determined, and the sum is used as the impact factor. Based on the impact factor, a preset variation range of the historical monitoring concentration of the insulating gas within the target interval is determined; According to the variation of the historical monitoring concentration and the preset variation range, it is determined whether the decomposition risk period is a decomposition matching period.

[0027] Specifically, the decomposition impact factor is determined according to the product of a preset proportional factor and an average charging load, wherein the preset variation range is determined according to a preset variation range of the insulating gas corresponding to the impact factor of the decomposition risk period.

[0028] Specifically, when the variation 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.

[0029] In another possible embodiment, the method for determining the decomposition matching period in the decomposition risk period is: S21 divides the risk decomposition period into a plurality of target intervals according to a preset period, and determines a change in the historical monitoring concentration of the insulating gas within the target interval; It can be understood that in one of the embodiments, if the change in the historical monitoring concentration of the insulating gas in the target interval is not within the preset change range, specifically for the insulating gas, regardless of the limitation of the charging load, it is impossible for the change to be too large. Therefore, when the change is too large, that is, it is not within the preset change range, it can be directly determined that the decomposition risk period does not belong to the decomposition matching period.

[0030] In addition, when the change is too small and is not within the preset change range, the concentration of the insulating gas at this time does not change significantly, so it can also be determined that the decomposition risk period within the target range belongs to the decomposition matching period.

[0031] S22 determines the average charging load in the different decomposed risk periods within the target interval based on the charging load data in the different decomposed risk periods, and determines the load proportional factors of the different decomposed risk periods based on the ratio of the average charging load to a preset load threshold; In addition, it should be noted that before entering the next step, it is also necessary to determine whether the number of decomposition risk periods within the target interval meets the requirements and whether the total duration of the decomposition risk periods meets the requirements. Specifically, when the number of decomposition risk periods within the target interval is small and the total duration of the decomposition risk periods is short, it generally does not affect the excessive change in concentration. Therefore, it can be directly determined that the decomposition risk period does not belong to the allocation matching period, among which the above-mentioned too small number and short total duration are determined by threshold method.

[0032] Optionally, even if the number of decomposition risk periods and the total duration of the decomposition risk periods within the target interval meet the requirements, it is necessary to further determine whether the average value of the load proportional factors of different decomposition risk periods is too large. If the average value of the load proportional factors of different decomposition risk periods is too large, it will have a greater impact on the concentration. Therefore, in this case, if the number of decomposition risk periods and the total duration of the decomposition risk periods within the target interval meet the requirements, that is, they are too many and not short, then the decomposition risk period within the target interval can be determined as a decomposition matching period.

[0033] S23 determines whether the decomposition risk period in the target interval is a decomposition matching period according to the load proportional factors of different decomposition risk periods and the variation of the historical monitoring concentration of the insulating gas in the target interval.

[0034] In one embodiment, the sum of the products of the load proportional factors and the durations of different target risk periods is determined by taking the durations and load proportional factors of different target risk periods as the influencing factors. The sum of the products of the load proportional factors and the durations of different target risk periods is used as the influencing factors. Based on the influencing factors, the preset variation range of the historical monitoring concentration of the insulating gas within the preset period is determined. 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.

[0035] 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.

[0036] In addition, it should be further explained that if there is no allocated matching period, it can be explained that the concentration change of the insulating gas at this time may be caused by leakage. Therefore, the modification strategy of the monitoring equipment of the switchgear is to only install leakage monitoring equipment.

[0037] S3 obtains the constituent data of the decomposition matching period in the decomposition risk period, and determines whether the decomposition matching degree of the insulating gas of the switchgear meets the requirements in combination with the changes in the monitoring data of the insulating gas in different decomposition matching periods. The transformation strategy of the monitoring equipment of the switchgear is determined based on the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods and the matching situation of the changes in the monitoring data of the insulating gas of the switchgear, and the monitoring processing of the switchgear is performed based on the monitoring equipment after the transformation.

[0038] Furthermore, the constituent data of the decomposition matching period in the decomposition risk period includes the number and proportion of the decomposition matching periods in the decomposition risk period.

[0039] Specifically, determining whether the decomposition matching degree of the insulating gas of the switchgear meets the requirements specifically includes: Determine the proportion of the decomposed matching periods in the decomposed risk period based on the constituent data of the decomposed matching period in the decomposed risk period, and use the proportion as the proportion of the number of matches; Determine the variation of the historical monitoring concentration within the target interval corresponding to the different decomposition and matching periods based on the variation of the monitoring data of the insulating gas in the different decomposition and matching periods, and take the sum of the variation of the historical monitoring concentration within the target interval corresponding to the different decomposition and matching periods as the total variation; According to the proportion of the matching time period and the proportion of the total variation in the concentration variation, it is determined whether the decomposition matching degree of the insulating gas in the switchgear meets the requirements.

[0040] Specifically, when the proportion of the decomposition period does not meet the requirements or the proportion of the total change in the concentration change does not meet the requirements, that is, the proportion of the decomposition period is too small or the proportion of the total change in the concentration change is too small, it is determined that the decomposition matching degree of the insulating gas in the switchgear does not meet the requirements.

[0041] It is understandable that when the decomposition matching degree of the insulating gas in the switchgear does not meet the requirements, it means that the probability of decomposition of the insulating gas due to overheating is small, and the greater probability is the change in concentration due to leakage. Therefore, the modification strategy of the monitoring equipment of the switchgear is to only install leakage monitoring equipment.

[0042] Optionally, in another possible embodiment, determining whether the decomposition matching degree of the insulating gas of the switchgear meets the requirements specifically includes: S31 determines the changes in the historical monitoring concentration within the target interval corresponding to the different decomposition and matching periods based on the changes in the monitoring data of the insulating gas during the different decomposition and matching periods, takes the sum of the changes in the historical monitoring concentration within the target interval corresponding to the different decomposition and matching periods as the total change, and determines the change deviation value based on the deviation between the concentration change amount and the total change amount; It should be noted that, in one of the embodiments, it is necessary to further determine in the above steps whether the variation deviation value meets the requirements. Specifically, when the variation deviation value is small, it means that the probability of concentration change caused by the decomposition of the insulating gas in the switchgear is large. Therefore, it can be directly determined that the decomposition matching degree of the insulating gas in the switchgear meets the requirements.

[0043] It should also be noted that even if the variation deviation value is not small, if the variation deviation value is too large, that is, greater than the threshold value, it can be directly determined that the decomposition matching degree of the insulating gas in the switchgear is insufficient to meet the requirements.

[0044] In addition, if the change deviation value is not large, that is, within a certain range, and the concentration change is large, that is, greater than the threshold, if only the installation of the leakage monitoring equipment is required, the probability of monitoring temperature anomalies may be small. Therefore, the modification strategy can be directly determined to be the modification of the setting of the temperature monitoring device according to the preset strategy, and further the installation of the leakage monitoring equipment. Only when the change deviation value is not large and the concentration change is not greater than the threshold, it is necessary to proceed to the next step.

[0045] S32: determining the number of the decomposed risk period excluding the decomposed matching period according to the constituent data of the decomposed matching period in the decomposed risk period, and using the number as the number of matching deviation periods; It should be noted that, in the above steps, it is also necessary to determine whether the number of matching deviation periods is too large and whether the proportion of the decomposition matching period in the decomposition risk period meets the requirements. Specifically, if the number of matching deviation periods is too large or the proportion of the decomposition matching period in the decomposition risk period does not meet the requirements, that is, it is greater than a fixed threshold. At this time, the probability of a change in the concentration of the insulating gas in the switchgear due to decomposition is not high. Therefore, it can be directly determined that the decomposition matching degree of the insulating gas in the switchgear does not meet the requirements.

[0046] In addition, it should be noted that even if the number of matching deviation time periods is not too large and the proportion of the decomposition matching time periods in the decomposition risk time periods meets the requirements, the matching deviation value can be determined by the ratio of the number of matching deviation time periods to the proportion of the decomposition matching time periods in the decomposition risk time periods. 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 in the switchgear does not meet the requirements.

[0047] S33 determines whether the decomposition matching degree of the insulating gas in the switchgear meets the requirements based on the variation deviation value and the number of matching deviation periods.

[0048] Exemplarily, the average value of the variation deviation value and the matching deviation value can be used to determine the decomposition matching deviation value of the insulating gas in the switchgear. 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 in the switchgear does not meet the requirements.

[0049] Specifically, the method for determining the transformation strategy of the monitoring equipment of the switchgear station is as follows: Determine the number of over-temperature locations and the duration of over-temperature at each over-temperature location in each decomposition risk period using over-temperature monitoring data from a temperature monitoring device in each decomposition risk period; Determine the predicted decomposition value of the insulating gas at different decomposition risk periods based on the over-temperature duration at different over-temperature locations; The modification strategy of the monitoring equipment of the switchgear is determined by comparing the decomposition prediction value of the insulating gas in different decomposition risk periods with the concentration variation of the insulating gas in the switchgear.

[0050] In a possible embodiment, the decomposition prediction value is determined based on the predicted value of the decomposition amount of the insulating gas caused by the over-temperature part under the over-temperature duration, and is specifically determined by the prediction result of the prediction model with the over-temperature duration as the input quantity. In a possible embodiment, the prediction model is constructed through a neural network algorithm.

[0051] Specifically, the modification strategy of the monitoring equipment of the switchgear is determined by comparing the predicted decomposition values ​​of the insulating gas in different decomposition risk periods with the concentration variation of the insulating gas in the switchgear, which specifically includes: Determine the sum of the decomposition prediction values ​​of the insulating gas in different decomposition risk periods based on the decomposition prediction values ​​of the insulating gas in different decomposition risk periods, and use the sum as the decomposition prediction amount; When the difference between the concentration change and the decomposed predicted value is not large, that is, within a certain range, there is no need to modify the monitoring equipment of the switchgear station; If the difference between the concentration change and the decomposition prediction is large, that is, it is not within a certain range, it is also necessary to determine whether the difference between the concentration change and the decomposition prediction is greater than the deviation threshold. If so, then in addition to the impact of decomposition, there may also be a risk of leakage. Therefore, it is necessary to modify the setting of the temperature monitoring device according to the preset strategy, and further install the leakage monitoring equipment. If not, since the difference itself is not large, the probability of leakage is not high, it may be because the over-temperature equipment is not effectively monitored, so it is only necessary to set the temperature monitoring device according to the preset strategy.

[0052] Specifically, the preset strategy is to set up a temperature monitoring device at a preset position of the switchgear, which can be specifically determined based on a pre-determined position where overheating is likely to occur.

[0053] Example 2 Second, as Figure 4 As shown, the present application provides a switchgear intelligent monitoring system, which adopts the above-mentioned switchgear intelligent monitoring method and includes the following contents: Risk period positioning module, matching period positioning module, and transformation strategy determination module; The risk period positioning module is responsible for determining the decomposition risk period of the insulating gas in the switchgear; The matching period positioning module is responsible for determining the decomposition matching period in different decomposition risk periods; The transformation strategy determination module is responsible for determining the transformation strategy of the monitoring equipment of the switchgear station.

[0054] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0055] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A method for intelligent monitoring of a switchgear station, characterized in that: Specifically include: Taking a charging station powered by a switchgear as a target charging station, determining a risk period of insulating gas decomposition in the switchgear based on the charging load data of the charging station when a change in insulating gas monitoring data of the switchgear is determined to be present; Determine the decomposition matching period in different decomposition risk periods based on the charging load data in different decomposition risk periods and the changes in the monitoring data of the insulating gas of the switchgear; Obtain the constituent data of the decomposition matching period in the decomposition risk period, and determine whether the decomposition matching degree of the insulating gas of the switchgear meets the requirements in combination with the changes in the monitoring data of the insulating gas in different decomposition matching periods. Determine the transformation strategy of the monitoring equipment of the switchgear based on the over-temperature monitoring data of the temperature monitoring equipment in different decomposition risk periods and the matching situation of the changes in the monitoring data of the insulating gas of the switchgear, and perform monitoring processing of the switchgear based on the monitoring equipment after the transformation.

2. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The insulating gas is SF6.

3. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The change in the monitoring data of the insulating gas includes a concentration change of the monitoring concentration of the insulating gas between different dates.

4. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: It was determined that there were risks of changes in the insulating gas in the switchgear, including: Determining historical monitoring concentrations of the insulating gas in the switchgear on different dates based on changes in monitoring data of the insulating gas in the switchgear; Determine the deviation between the initial concentration of the insulating gas in the switchgear and the monitored concentration on the current date based on the historical monitored concentrations on different dates, and use the deviation as the concentration variation; Based on the concentration variation, it is determined whether there is a risk of variation in the insulating gas of the switchgear.

5. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: When there is no risk of changes in the insulating gas of the switchgear, the original monitoring equipment is continued to be used to monitor the switchgear.

6. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The decomposition risk period of the insulating gas in the switchgear is a period when the average charging load of the charging station is greater than a preset load threshold.

7. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The method for determining the decomposition matching period in the decomposition risk period is: Dividing the risk decomposition period into a plurality of target intervals according to a preset period, and determining a change in the historical monitoring concentration of the insulating gas within the target intervals; Determine the average charging load in the different decomposed risk periods using the charging load data in the different decomposed risk periods; Whether the target risk period is a decomposition matching period is determined according to the average charging load in different decomposition risk periods within the target interval and the variation of the historical monitoring concentration of the insulating gas within the target interval.

8. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The constituent data of the decomposition matching period in the decomposition risk period includes the number and proportion of the decomposition matching periods in the decomposition risk period.

9. The intelligent monitoring method for a switchgear station according to claim 1, characterized in that: The method for determining the transformation strategy of the monitoring equipment of the switchgear is as follows: Determine the number of over-temperature locations and the duration of over-temperature at each over-temperature location in each decomposition risk period using over-temperature monitoring data from a temperature monitoring device in each decomposition risk period; Determine the predicted decomposition value of the insulating gas at different decomposition risk periods based on the over-temperature duration at different over-temperature locations; The modification strategy of the monitoring equipment of the switchgear is determined by comparing the decomposition prediction value of the insulating gas in different decomposition risk periods with the concentration variation of the insulating gas in the switchgear.

10. An intelligent monitoring system for a switchgear station, adopting an intelligent monitoring method for a switchgear station according to any one of claims 1 to 9, characterized in that: Specifically include: Risk period positioning module, matching period positioning module, and transformation strategy determination module; The risk period positioning module is responsible for determining the decomposition risk period of the insulating gas in the switchgear; The matching period positioning module is responsible for determining the decomposition matching period in different decomposition risk periods; The transformation strategy determination module is responsible for determining the transformation strategy of the monitoring equipment of the switchgear station.

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