A comprehensive monitoring method and device for intelligent switches

Abstract

The present invention provides an intelligent switch comprehensive monitoring method and device, which belongs to the field of data monitoring technology, and specifically comprises: determining the partial discharge problem probability of different switch cabinets in a switch room and the switch cabinet that needs to be monitored for partial discharge through operating data in different working power ranges, and using them as partial discharge monitoring switch cabinets; when the partial discharge problem probability of the partial discharge monitoring switch cabinet meets the requirements, other partial discharge monitoring switch cabinets adjacent to the partial discharge monitoring switch cabinet are determined according to the placement position of the partial discharge monitoring switch cabinet, and use them as interference switch cabinets; when it is determined that the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through the partial discharge problem probability, operating data and positions of different interference switch cabinets, a sound monitoring device is placed in the partial discharge monitoring switch cabinet, and it is determined whether it is necessary to use the partial discharge monitoring device to monitor and upload the partial discharge signal according to the monitoring data of the sound monitoring device, thereby ensuring the timeliness of the partial discharge signal processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of data monitoring, and in particular relates to a comprehensive monitoring method and device for intelligent switches. Background Art

[0002] As the core electrical equipment to ensure the reliability of power supply of power equipment, the safety and reliability of switchgear operation are crucial to the entire power supply system. This makes how to monitor and process the operating data of switchgear a technical problem that needs to be solved urgently.

[0003] In order to solve the above technical problems, the invention patent application CN202310696183.4 "A switch cabinet energy consumption monitoring method and system based on the Internet of Things" greatly improves the reliability of the energy consumption monitoring of the switch cabinet by setting up the Internet of Things devices, but at the same time there are the following technical problems:

[0004] During the use of switchgear, partial discharge is inevitable, especially after the insulation components are aged. Due to the differences in the operating and aging conditions of different switchgears, the severity of partial discharge of different switchgears varies. Therefore, if the severity of partial discharge of the switchgear is not comprehensively considered to determine differentiated partial discharge monitoring measures, it is impossible to improve the operating reliability of the switchgear while ensuring the reliability of the use of partial discharge monitoring measures.

[0005] In view of the above technical problems, the present invention provides a method and device for comprehensive monitoring of intelligent switches. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a comprehensive monitoring method for an intelligent switch is provided.

[0008] A comprehensive monitoring method for an intelligent switch, characterized by comprising:

[0009] S1 determines the partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring through the operating data in different working power ranges, and uses it as the partial discharge monitoring switch cabinet. When the partial discharge problem probability of the partial discharge monitoring switch cabinet meets the requirements, proceed to the next step;

[0010] S2 determines that the background sound interference between the switches meets the requirements based on the analysis results of the background sound between the switches at different time periods and the similarities with different types of partial discharge sounds, and then proceeds to the next step;

[0011] S3: determining other adjacent partial discharge monitoring switch cabinets according to the placement position of the partial discharge monitoring switch cabinet, and taking them as interference switch cabinets; and when determining that the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through partial discharge problem probabilities, operation data and positions of different interference switch cabinets, proceeding to the next step;

[0012] S4: placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals according to monitoring data of the sound monitoring device.

[0013] A further technical solution is that the operating data includes the operating time and the operating power.

[0014] A further technical solution is that the method for determining the probability of partial discharge problem of the switch cabinet is:

[0015] Determine the operation duration corresponding to different operation powers in different operation power intervals based on the operation data of the switch cabinet in different operation power intervals, and determine the aging coefficient influence values ​​of different operation power intervals based on the operation durations of different operation powers, and determine the aging coefficient of the switch cabinet through the aging coefficient influence values ​​in different operation power intervals;

[0016] Determine the working power impact value of the switch cabinet by the proportion of working time in different working power intervals and the deviation between different working power intervals and the rated power of the switch cabinet;

[0017] The probability of a partial discharge problem of the switch cabinet is determined by using the aging coefficient and the working power influence value of the switch cabinet.

[0018] A further technical solution is to determine the probability of partial discharge problem of the switch cabinet by using the aging coefficient and the working power influence value of the switch cabinet, which specifically includes:

[0019] Determining a preset probability of a partial discharge problem within different working power impact value intervals using the aging coefficient of the switch cabinet;

[0020] The partial discharge problem probability of the switch cabinet is determined according to a preset partial discharge problem probability within the working power impact value interval in which the working power impact value is located.

[0021] A further technical solution is that, when the probability of the partial discharge problem of the switch cabinet is greater than a preset problem probability, the switch cabinet is determined to be a switch cabinet that needs to be monitored for partial discharge.

[0022] A further technical solution is to determine whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals, specifically including:

[0023] The partial discharge sound loudness of the switch cabinet is determined according to the monitoring data of the sound monitoring device, and when the partial discharge sound loudness of the switch cabinet does not meet the requirement, the partial discharge monitoring device of the switch cabinet is used to monitor and upload the partial discharge signal.

[0024] On the other hand, the present application provides an intelligent switch comprehensive monitoring device, which adopts the above-mentioned intelligent switch comprehensive monitoring method, and is characterized in that it specifically includes:

[0025] Problem probability assessment module, background interference assessment module, partial discharge interference assessment module, monitoring and processing module;

[0026] The problem probability assessment module is responsible for determining the partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring through the operation data in different working power ranges, and uses it as the partial discharge monitoring switch cabinet;

[0027] The background interference evaluation module is responsible for determining whether the background sound interference between switches meets the requirements based on the analysis results of the background sound between switches at different time periods and the similarities with different types of partial discharge sounds;

[0028] The partial discharge interference evaluation module is responsible for determining other partial discharge monitoring switch cabinets adjacent to the partial discharge monitoring switch cabinet according to the placement position of the partial discharge monitoring switch cabinet, and using them as interference switch cabinets, and determining whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through the partial discharge problem probabilities, operation data and positions of different interference switch cabinets;

[0029] The monitoring processing module is responsible for placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals based on monitoring data of the sound monitoring device.

[0030] The beneficial effects of the present invention are:

[0031] 1. By determining the probability of partial discharge problems of different switch cabinets in the switch room and the switch cabinets that need partial discharge monitoring based on the operating data in different working power ranges, the technical problem of high complexity of monitoring and processing caused by partial discharge monitoring of all switch cabinets is avoided, the efficiency of identification and processing of partial discharge monitoring is improved, and the reliability of monitoring of switch cabinets with higher probability of partial discharge problems is also ensured.

[0032] 2. Determine whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals based on the monitoring data of the sound monitoring device, thereby avoiding the technical problem of frequent use of partial discharge monitoring devices caused by using partial discharge monitoring devices to monitor and upload partial discharge signals in real time, avoiding unnecessary partial discharge monitoring, and also improving the efficiency and real-time performance of partial discharge signal processing on the partial discharge monitoring and processing platform.

[0033] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0034] 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

[0035] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0036] Figure 1 It is a flow chart of a comprehensive monitoring method for intelligent switches;

[0037] Figure 2 It is a flow chart of a method for determining the probability of partial discharge problems in a switch cabinet;

[0038] Figure 3 It is a flow chart of a method for determining that background sound interference between switches meets requirements. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0040] Example 1

[0041] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a comprehensive monitoring method for an intelligent switch is provided, which is characterized by specifically comprising:

[0042] S1 determines the partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring through the operating data in different working power ranges, and uses it as the partial discharge monitoring switch cabinet. When the partial discharge problem probability of the partial discharge monitoring switch cabinet meets the requirements, proceed to the next step;

[0043] Furthermore, the operation data includes the operation time and the operation power.

[0044] Specifically, Figure 2 As shown, the method for determining the probability of partial discharge problem of the switch cabinet is:

[0045] Determine the operation duration corresponding to different operation powers in different operation power intervals based on the operation data of the switch cabinet in different operation power intervals, and determine the aging coefficient influence values ​​of different operation power intervals based on the operation durations of different operation powers, and determine the aging coefficient of the switch cabinet through the aging coefficient influence values ​​in different operation power intervals;

[0046] Determine the working power impact value of the switch cabinet by the proportion of working time in different working power intervals and the deviation between different working power intervals and the rated power of the switch cabinet;

[0047] The probability of a partial discharge problem of the switch cabinet is determined by using the aging coefficient and the working power influence value of the switch cabinet.

[0048] Furthermore, the probability of a partial discharge problem of the switch cabinet is determined by using the aging coefficient and the working power influence value of the switch cabinet, specifically including:

[0049] Determining a preset probability of a partial discharge problem within different working power impact value intervals using the aging coefficient of the switch cabinet;

[0050] The partial discharge problem probability of the switch cabinet is determined according to a preset partial discharge problem probability within the working power impact value interval in which the working power impact value is located.

[0051] It should be noted that, when the probability of the partial discharge problem of the switch cabinet is greater than the preset problem probability, the switch cabinet is determined to be a switch cabinet that needs to be monitored for partial discharge.

[0052] In another embodiment, the method for determining the probability of partial discharge problem of the switch cabinet is:

[0053] S11 obtains the operating time of the switch cabinet, and determines whether the operating time of the switch cabinet is less than a preset time. If so, proceeds to the next step; if not, proceeds to step S13;

[0054] S12 determines the screening working power range according to the deviation from the rated power of the switch cabinet, and judges whether the proportion of the working time of the switch cabinet in the screening working power range is less than a preset proportion. If so, it is determined that the switch cabinet does not belong to the switch cabinet that needs partial discharge monitoring. If not, proceed to the next step;

[0055] S13 determines the operation time corresponding to different operation powers in different operation power intervals based on the operation data of the switch cabinet in different operation power intervals, and determines the aging coefficient influence value of different operation power intervals based on the operation time of different operation powers, and determines the aging coefficient of the switch cabinet by the aging coefficient influence value in different operation power intervals, and judges whether the aging coefficient of the switch cabinet is less than the preset aging coefficient threshold value, if yes, proceeds to the next step, if not, proceeds to step S15;

[0056] S14 determines the working power impact value of the switch cabinet by the working time ratio in different working power intervals and the deviation between different working power intervals and the rated power of the switch cabinet, and judges whether the working power impact value of the switch cabinet is less than the preset impact limit value. If so, it is determined that the switch cabinet does not belong to the switch cabinet that needs partial discharge monitoring. If not, enter step S15;

[0057] S15 determines the probability of a partial discharge problem of the switch cabinet by using the aging coefficient and the working power impact value of the switch cabinet.

[0058] In another embodiment, the method for determining the probability of partial discharge problem of the switch cabinet is:

[0059] S111 determines the operation time corresponding to different operation powers in different operation power intervals based on the operation data of the switch cabinet in different operation power intervals, and determines the aging coefficient influence value of different operation power intervals based on the operation time of different operation powers, and judges whether there is an operation power interval in which the aging coefficient influence value does not meet the requirements, if yes, proceeds to step S114, if not, proceeds to the next step;

[0060] S112 determines the screening working power range according to the deviation from the rated power of the switch cabinet, and judges whether the operation time of the switch cabinet in the screening working power range is less than the preset time limit value. If so, it is determined that the switch cabinet does not belong to the switch cabinet that needs partial discharge monitoring. If not, proceed to the next step;

[0061] S113 determines the working power impact value of the switch cabinet by the proportion of working time in different working power intervals and the deviation between different working power intervals and the rated power of the switch cabinet, and judges whether the working power impact value of the switch cabinet in the screened working interval meets the requirements. If so, it is determined that the switch cabinet does not belong to the switch cabinet that needs partial discharge monitoring. If not, proceed to the next step;

[0062] S114 determines the aging coefficient of the switch cabinet by using the aging coefficient influence values ​​in different working power intervals, and determines the probability of partial discharge problem of the switch cabinet by using the aging coefficient of the switch cabinet and the working power influence value.

[0063] Specifically, when the probability of the partial discharge problem of the partial discharge monitoring switch cabinet does not meet the requirement, there is no need to set up the sound monitoring device, and the partial discharge monitoring device is used in real time to monitor and upload the partial discharge signal.

[0064] S2 determines that the background sound interference between the switches meets the requirements based on the analysis results of the background sound between the switches at different time periods and the similarities with different types of partial discharge sounds, and then proceeds to the next step;

[0065] It should be noted that if Figure 3 As shown, it is determined that the background sound interference between switches meets the requirements, including:

[0066] Determine the average loudness of the background sound at different time periods according to the analysis results of the background sound between the switches at different time periods, and determine the loudness interference value at different time periods in combination with the number of moments when the loudness is greater than a preset loudness and the duration;

[0067] Determine the sound spectrum similarity coefficients of the background sounds at different time periods and different types of partial discharge sounds through the analysis results of the background sounds at different time periods between the switches, and determine the sound spectrum interference values ​​at different time periods using the sound spectrum similarity coefficients;

[0068] The background sound interference value between the switches is determined based on the sound spectrum interference value and the loudness interference value in different time periods, and the background sound interference value is used to determine whether the background sound interference between the switches meets the requirements.

[0069] In another embodiment, determining that the background sound interference between switches meets the requirement specifically includes:

[0070] Determine the number of moments when the loudness of the switch room is greater than a preset loudness according to the analysis results of the background sounds of the switch room at different time periods, and judge whether the number of moments when the loudness is greater than the preset loudness meets the requirement, if so, proceed to the next step, if not, determine that the background sound interference of the switch room does not meet the requirement;

[0071] Determine the average loudness of the background sound in different time periods according to the analysis results of the background sound between the switches at different time periods, and determine the loudness interference value of different time periods in combination with the number of moments when the loudness is greater than the preset loudness and the duration, and judge whether there is a time period in which the loudness interference value does not meet the requirement, if not, proceed to the next step, if yes, determine that the background sound interference between the switches does not meet the requirement;

[0072] Determine the spectral similarity coefficients of the background sounds at different time periods and different types of partial discharge sounds through the analysis results of the background sounds at different time periods between the switches, and use the spectral similarity coefficients to determine the spectral interference values ​​at different time periods, and judge whether there is a time period in which the spectral interference value does not meet the requirements. If not, proceed to the next step. If so, determine that the background sound interference between the switches does not meet the requirements.

[0073] Determine the sound interference values ​​of different time periods based on the sound spectrum interference values ​​and loudness interference values ​​of different time periods, and judge whether there is a time period in which the sound interference value does not meet the requirements. If not, proceed to the next step. If so, determine that the background sound interference between the switches does not meet the requirements.

[0074] The background sound interference value between the switches is determined based on the sound interference values ​​in different time periods, and the background sound interference value is used to determine whether the background sound interference between the switches meets the requirements.

[0075] In another embodiment, determining that the background sound interference between switches meets the requirement specifically includes:

[0076] Determine the average loudness of the background sound in different time periods according to the analysis results of the background sound between the switches at different time periods, and judge whether there is a time period in which the average loudness does not meet the requirement, if not, proceed to the next step, if yes, determine that the background sound interference between the switches does not meet the requirement;

[0077] Determine the number of moments and durations of the background sound at different time periods when the loudness of the background sound is greater than a preset loudness according to the analysis results of the background sound at different time periods between the switches, and judge whether there is a time period when the loudness is greater than the preset loudness and the duration does not meet the requirement, if not, proceed to the next step, if yes, determine that the background sound interference between the switches does not meet the requirement;

[0078] Determine the sound spectrum similarity coefficients of the background sounds at different time periods and different types of partial discharge sounds through the analysis results of the background sounds at different time periods, and determine the comprehensive similarity coefficients at different moments in different time periods based on the sound spectrum similarity coefficients with different types of partial discharge sounds, and take the moments when the comprehensive similarity coefficients do not meet the requirements as similar interference moments, and judge whether there is a time period when the number of similar interference moments does not meet the requirements, if not, proceed to the next step, and if so, determine that the background sound interference between the switches does not meet the requirements;

[0079] The sound spectrum interference value at different time periods is determined by using the sound spectrum similarity coefficient, the average loudness of the background sound at different time periods is determined according to the analysis results of the background sound between the switches at different time periods, and the loudness interference value at different time periods is determined in combination with the number of moments when the loudness is greater than the preset loudness and the duration, the sound interference value at different time periods is determined based on the sound spectrum interference value and the loudness interference value at different time periods, and it is judged whether there is a time period in which the sound interference value does not meet the requirements, if not, proceed to the next step, and if so, it is determined that the background sound interference between the switches does not meet the requirements;

[0080] The background sound interference value between the switches is determined based on the sound interference values ​​in different time periods, and the background sound interference value is used to determine whether the background sound interference between the switches meets the requirements.

[0081] S3: determining other adjacent partial discharge monitoring switch cabinets according to the placement position of the partial discharge monitoring switch cabinet, and taking them as interference switch cabinets; and when determining that the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through partial discharge problem probabilities, operation data and positions of different interference switch cabinets, proceeding to the next step;

[0082] Specifically, determining whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements specifically includes:

[0083] Determine the operating power of different interference switch cabinets based on the operating data of different interference switch cabinets, and determine the sound interference amount of different interference switch cabinets in combination with the probability and location of partial discharge problems of different interference switch cabinets;

[0084] The local sound interference value of the partial discharge monitoring switch cabinet is determined by using different sound interference amounts of the interference switch cabinet, and the local sound interference value is used to determine whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements.

[0085] Further, using the partial discharge sound interference value to determine whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements specifically includes:

[0086] When the partial discharge sound interference value of the partial discharge monitoring switch cabinet does not meet the requirement, it is determined that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirement.

[0087] In another embodiment, determining that the local sound interference of the partial discharge monitoring switch cabinet meets the requirement specifically includes:

[0088] Obtaining the number of interfering switch cabinets of the partial discharge monitoring switch cabinet, determining whether the number of interfering switch cabinets of the partial discharge monitoring switch cabinet meets the requirement, if so, proceeding to the next step, if not, determining that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirement;

[0089] The distances between different interfering switch cabinets and the partial discharge monitoring switch cabinet are determined by using the positions of different interfering switch cabinets, and the adjacent interfering switch cabinets are determined according to the distances, and it is judged whether the number of the adjacent interfering switch cabinets meets the requirements, if so, proceeding to the next step, if not, determining that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirements;

[0090] Determine the operating power of different interfering switch cabinets based on the operating data of different interfering switch cabinets, and determine the sound interference amount of different interfering switch cabinets in combination with the probability and position of the partial discharge problem of different interfering switch cabinets, and use the sound interference amount to determine the severe interfering switch cabinet, and judge whether the number of the severe interfering switch cabinets meets the requirements, if so, proceed to the next step, if not, determine that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirements;

[0091] Determine the weight values ​​of different seriously interfering switch cabinets by using the sound interference amounts of different seriously interfering switch cabinets, and judge whether the sum of the weight values ​​of the seriously interfering switch cabinets meets the requirements, if so, proceed to the next step, if not, determine that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirements;

[0092] The local sound interference value of the partial discharge monitoring switch cabinet is determined by using different sound interference amounts of the interference switch cabinet, and the local sound interference value is used to determine whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements.

[0093] S4: placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals according to monitoring data of the sound monitoring device.

[0094] It should be noted that determining whether a partial discharge monitoring device is needed to monitor and upload partial discharge signals specifically includes:

[0095] The partial discharge sound loudness of the switch cabinet is determined according to the monitoring data of the sound monitoring device, and when the partial discharge sound loudness of the switch cabinet does not meet the requirement, the partial discharge monitoring device of the switch cabinet is used to monitor and upload the partial discharge signal.

[0096] Example 2

[0097] On the other hand, the present application provides an intelligent switch comprehensive monitoring device, which adopts the above-mentioned intelligent switch comprehensive monitoring method, and is characterized in that it specifically includes:

[0098] Problem probability assessment module, background interference assessment module, partial discharge interference assessment module, monitoring and processing module;

[0099] The problem probability assessment module is responsible for determining the partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring through the operation data in different working power ranges, and uses it as the partial discharge monitoring switch cabinet;

[0100] The background interference evaluation module is responsible for determining whether the background sound interference between switches meets the requirements based on the analysis results of the background sound between switches at different time periods and the similarities with different types of partial discharge sounds;

[0101] The partial discharge interference evaluation module is responsible for determining other partial discharge monitoring switch cabinets adjacent to the partial discharge monitoring switch cabinet according to the placement position of the partial discharge monitoring switch cabinet, and using them as interference switch cabinets, and determining whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through the partial discharge problem probabilities, operation data and positions of different interference switch cabinets;

[0102] The monitoring processing module is responsible for placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals based on monitoring data of the sound monitoring device.

[0103] Through the above embodiments, the present invention achieves the following beneficial effects:

[0104] 1. By determining the probability of partial discharge problems of different switch cabinets in the switch room and the switch cabinets that need partial discharge monitoring based on the operating data in different working power ranges, the technical problem of high complexity of monitoring and processing caused by partial discharge monitoring of all switch cabinets is avoided, the efficiency of identification and processing of partial discharge monitoring is improved, and the reliability of monitoring of switch cabinets with higher probability of partial discharge problems is also ensured.

[0105] 2. Determine whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals based on the monitoring data of the sound monitoring device, thereby avoiding the technical problem of frequent use of partial discharge monitoring devices caused by using partial discharge monitoring devices to monitor and upload partial discharge signals in real time, avoiding unnecessary partial discharge monitoring, and also improving the efficiency and real-time performance of partial discharge signal processing on the partial discharge monitoring and processing platform.

[0106] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0107] The above is a description of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0108] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A comprehensive monitoring method for intelligent switches, characterized in that: Specifically include: The partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring are determined by using the operating data in different working power ranges, and the switch cabinet is used as the partial discharge monitoring switch cabinet. When the partial discharge problem probability of the partial discharge monitoring switch cabinet meets the requirements, the next step is entered; When it is determined that the background sound interference between the switches meets the requirements according to the analysis results of the background sound between the switches at different time periods and the similarities with different types of partial discharge sounds, proceed to the next step; Determine other partial discharge monitoring switch cabinets adjacent to the partial discharge monitoring switch cabinet according to the placement position of the partial discharge monitoring switch cabinet, and use them as interference switch cabinets. When it is determined that the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through partial discharge problem probabilities, operation data and positions of different interference switch cabinets, proceed to the next step. Placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use the partial discharge monitoring device to monitor and upload the partial discharge signal according to the monitoring data of the sound monitoring device; When the probability of partial discharge problems of the partial discharge monitoring switch cabinet does not meet the requirements, there is no need to set up the sound monitoring device, and the partial discharge monitoring device is used in real time to monitor and upload the partial discharge signal; Determine that the background sound interference between switches meets the requirements, including: Determine the average loudness of the background sound at different time periods according to the analysis results of the background sound between the switches at different time periods, and determine the loudness interference value at different time periods in combination with the number of moments when the loudness is greater than a preset loudness and the duration; Determine the sound spectrum similarity coefficients of the background sounds at different time periods and different types of partial discharge sounds through the analysis results of the background sounds at different time periods between the switches, and determine the sound spectrum interference values ​​at different time periods using the sound spectrum similarity coefficients; The background sound interference value between the switches is determined based on the sound spectrum interference value and the loudness interference value in different time periods, and the background sound interference value is used to determine whether the background sound interference between the switches meets the requirements.

2. The intelligent switch comprehensive monitoring method according to claim 1, characterized in that: The operation data includes operation time and operation power.

3. The intelligent switch comprehensive monitoring method according to claim 1, characterized in that: The method for determining the probability of partial discharge problem of the switch cabinet is: Determine the operation duration corresponding to different operation powers in different operation power intervals based on the operation data of the switch cabinet in different operation power intervals, and determine the aging coefficient influence values ​​of different operation power intervals based on the operation durations of different operation powers, and determine the aging coefficient of the switch cabinet through the aging coefficient influence values ​​in different operation power intervals; Determine the working power impact value of the switch cabinet by the proportion of working time in different working power intervals and the deviation between different working power intervals and the rated power of the switch cabinet; The probability of a partial discharge problem of the switch cabinet is determined by using the aging coefficient and the working power influence value of the switch cabinet.

4. The intelligent switch comprehensive monitoring method according to claim 3, characterized in that: Determining the probability of a partial discharge problem of the switch cabinet by using the aging coefficient and the working power influence value of the switch cabinet specifically includes: Determining a preset probability of a partial discharge problem within different working power impact value intervals using the aging coefficient of the switch cabinet; The partial discharge problem probability of the switch cabinet is determined according to a preset partial discharge problem probability within the working power impact value interval in which the working power impact value is located.

5. The intelligent switch comprehensive monitoring method according to claim 1, characterized in that: Determine that the local sound interference of the partial discharge monitoring switch cabinet meets the requirements, specifically including: Determine the operating power of different interference switch cabinets based on the operating data of different interference switch cabinets, and determine the sound interference amount of different interference switch cabinets in combination with the probability and location of partial discharge problems of different interference switch cabinets; The local sound interference value of the partial discharge monitoring switch cabinet is determined by using different sound interference amounts of the interference switch cabinet, and the local sound interference value is used to determine whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements.

6. The intelligent switch comprehensive monitoring method according to claim 5, characterized in that: Determining whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements by using the partial discharge sound interference value specifically includes: When the partial discharge sound interference value of the partial discharge monitoring switch cabinet does not meet the requirement, it is determined that the local sound interference of the partial discharge monitoring switch cabinet does not meet the requirement.

7. An intelligent switch comprehensive monitoring device, using an intelligent switch comprehensive monitoring method according to any one of claims 1 to 6, characterized in that: Specifically include: Problem probability assessment module, background interference assessment module, partial discharge interference assessment module, monitoring and processing module; The problem probability assessment module is responsible for determining the partial discharge problem probability of different switch cabinets in the switch room and the switch cabinet that needs partial discharge monitoring through the operation data in different working power ranges, and uses it as the partial discharge monitoring switch cabinet; The background interference evaluation module is responsible for determining whether the background sound interference between switches meets the requirements based on the analysis results of the background sound between switches at different time periods and the similarities with different types of partial discharge sounds; The partial discharge interference evaluation module is responsible for determining other partial discharge monitoring switch cabinets adjacent to the partial discharge monitoring switch cabinet according to the placement position of the partial discharge monitoring switch cabinet, and using them as interference switch cabinets, and determining whether the local sound interference of the partial discharge monitoring switch cabinet meets the requirements through the partial discharge problem probabilities, operation data and positions of different interference switch cabinets; The monitoring processing module is responsible for placing a sound monitoring device in the partial discharge monitoring switch cabinet, and determining whether it is necessary to use a partial discharge monitoring device to monitor and upload partial discharge signals based on monitoring data of the sound monitoring device.

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