External damage monitoring and early warning method and system for 10KV cable

Abstract

The invention provides an external damage monitoring and early warning method and system for a 10KV cable, and belongs to the technical field of abnormity monitoring, and the method specifically comprises the steps: determining the construction external damage risks of different burying regions and risk regions in the burying regions based on the matching conditions with the working data of different types of heavy mechanical equipment; and obtaining distribution data of the risk area, determining a monitoring and early warning strategy of the risk area in combination with construction external damage risks of different risk areas, and obtaining real-time ground vibration data of the risk area at a monitoring frequency corresponding to the monitoring and early warning strategy. And whether an early warning signal is sent out is determined according to an analysis result of the real-time ground vibration data and a monitoring early warning strategy, so that the safety and the reliability of cable operation are ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of abnormal monitoring, and in particular relates to a method and system for monitoring and early warning of external damage of a 10KV cable. Background Art

[0002] The long and distributed 10KV transmission lines are inevitably affected by multiple factors, such as the natural environment and human factors, which lead to short circuits, tripping and other faults from time to time, affecting the safe operation of the power grid. Therefore, it makes it a technical problem to dynamically perceive the risk of external damage and promptly remind line operation and maintenance personnel to handle the occurrence of risk events.

[0003] In the existing technical solutions, cable anti-breakage monitoring and early warning are often performed through the setting of various types of IoT monitoring equipment. Specifically, similar technical solutions are given in the invention patent application CN202410561516.7 "A cable anti-breakage monitoring and early warning method based on multimodal data fusion" and CN202410358373.X "A monitoring method for distribution network underground pipeline marker piles based on multi-target real-time image monitoring". However, at the same time, there are the following technical problems: The risk of external damage to 10KV cables is often caused by external construction, which will inevitably cause vibrations in the land around the buried cables. Therefore, if differentiated external damage risk monitoring strategies cannot be generated for different cable burial areas based on the analysis results of the vibration signals, the efficiency of monitoring and early warning of external damage risks may not be guaranteed due to the large number of monitoring points.

[0004] In view of the above technical problems, the present invention provides a method and system for monitoring and early warning of external damage of 10KV cables. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides a method for monitoring and warning of external damage of 10KV cables, which specifically includes: S1 uses a monitoring device to obtain ground vibration data of a buried area of ​​a 10KV cable, and uses an analysis result of the ground vibration data to determine similarities between the ground vibration data and ground vibration data of different historical dates, and when it is determined based on the similarities that the ground vibration data of the buried area is abnormal, proceed to the next step; S2 determines the matching of the ground vibration data with the working data of different types of heavy machinery and equipment based on the analysis results of the ground vibration data, and determines the construction external damage risks of different buried areas and the risk areas in the buried areas based on the matching with the working data of different types of heavy machinery and equipment; S3: obtaining the distribution data of the risk area, and determining the monitoring and early warning strategy of the risk area in combination with the construction external failure risks of different risk areas; S4 acquires the real-time ground vibration data of the risk area at the monitoring frequency corresponding to the monitoring and early warning strategy, and determines whether to issue an early warning signal according to the analysis result of the real-time ground vibration data and the monitoring and early warning strategy.

[0006] A further technical solution is that the monitoring device includes an intelligent analysis module, a gyroscope sensor, a wireless module, a backup battery, a solar panel, a metal protective casing, Beidou positioning and an audible and visual alarm.

[0007] A further technical solution is that the intelligent analysis module is responsible for reading and analyzing ground vibration data.

[0008] A further technical solution is that the ground vibration data includes vibration amplitudes at different times and distribution data of vibration time periods.

[0009] A further technical solution is to determine whether to issue an early warning signal, specifically including: Determine the ground vibration amplitude at different times within a preset period of time based on the analysis result of the real-time ground vibration data, and determine the amplitude abnormality coefficient within the preset period of time based on the ground vibration amplitude at different times; Determine the signal matching coefficients of the vibration signals within a preset time period and the signals of different types of heavy machinery and equipment at different construction stages based on the analysis results of the real-time ground vibration data, and use the signal matching coefficients to determine the matching construction stages of the heavy machinery and equipment, and determine the construction risk coefficient based on the matching construction stages; The comprehensive risk coefficient is determined by the average value of the construction risk coefficient and the amplitude abnormality coefficient, and whether the risk area issues a warning signal is determined in combination with the risk warning threshold corresponding to the monitoring and early warning strategy.

[0010] A further technical solution is that when the comprehensive risk coefficient is greater than the risk warning threshold, it is determined that the risk area sends a warning signal.

[0011] On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned method for evaluating the life of a power plant boiler taking into account furnace tube corrosion.

[0012] The beneficial effects of the present invention are: 1. Use the similarity between ground vibration data and ground vibration data of different historical dates to determine whether there is any abnormality in the ground vibration data of the buried area, thereby avoiding the abnormal influence of ground vibration caused by vehicle driving, train driving, etc. in the buried area, and realizing the screening of abnormal ground vibration from the perspective of historical data. It also lays the foundation for targeted analysis of ground vibration data and improving the identification efficiency of buried areas with external damage risks.

[0013] 2. Based on the distribution data of risk areas and the risks of external construction damage in different risk areas, the monitoring and early warning strategies for risk areas are determined. This takes into account both the increased difficulty of supervision and treatment due to the relatively discrete distribution of risk areas, and the excessive risk of supervision and treatment due to the greater risk of external construction damage in risk areas. This enables the determination of monitoring and early warning strategies from two perspectives: the difficulty of supervision and treatment and the risk of supervision and treatment. This in turn achieves dynamic adjustment of the signal acquisition frequency of the warning risk threshold, further ensuring the safety of the cable.

[0014] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0015] 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

[0016] 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.

[0017] Figure 1 It is a flow chart of an external failure monitoring and early warning method for 10KV cables; Figure 2 It is a flow chart of the method for determining the risk of external damage during construction of the buried area; Figure 3 It is a flow chart of the method for determining the monitoring and early warning strategy for risk areas. DETAILED DESCRIPTION

[0018] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0019] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0020] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, according to one aspect of the present invention, a method for monitoring and warning of external damage of a 10KV cable is provided, which specifically includes: S1 uses a monitoring device to obtain ground vibration data of a buried area of ​​a 10KV cable, and uses an analysis result of the ground vibration data to determine similarities between the ground vibration data and ground vibration data of different historical dates, and when it is determined based on the similarities that the ground vibration data of the buried area is abnormal, proceed to the next step; Furthermore, the monitoring device includes an intelligent analysis module, a gyroscope sensor, a wireless module, a backup battery, a solar panel, a metal protective casing, Beidou positioning and an audible and visual alarm.

[0021] It can be understood that the intelligent analysis module is responsible for reading and analyzing the ground vibration data.

[0022] Specifically, the ground vibration data includes vibration amplitudes at different times and distribution data of vibration time periods.

[0023] It should be noted that determining that the ground vibration data of the buried area is abnormal specifically includes: Determine distribution data of a vibration period of the ground vibration data according to the analysis result of the ground vibration data, determine a period distribution similarity coefficient between the ground vibration data and ground vibration data of different historical dates using the period distribution data, and determine similar historical dates among the historical dates based on the period distribution similarity coefficient; Determine the vibration amplitude of the ground vibration data at different times based on the analysis result of the ground vibration data, and determine the similarity coefficient of the vibration data at different vibration time periods and different historical dates by using the vibration amplitude at different times, and determine the historical date containing the similar vibration time period according to the vibration data similarity coefficient; The abnormal coefficient of the ground vibration data is determined by multiplying the number ratio of the similar historical dates and the number ratio of the historical dates containing similar vibration periods, and the abnormal coefficient is used to determine whether the ground vibration data of the buried area is abnormal.

[0024] It can be understood that when the abnormal coefficient of the ground vibration data of the buried area is within a preset interval, it is determined that there is no abnormality in the ground vibration data of the buried area.

[0025] Furthermore, when there is no abnormality in the ground vibration data of the buried area, the ground data of the buried area is acquired in real time using a preset monitoring strategy until the ground vibration data of the buried area is abnormal.

[0026] It should also be noted that determining that the ground vibration data of the buried area is abnormal specifically includes: Determine the vibration amplitude of the ground vibration data at different times based on the analysis result of the ground vibration data, and determine the vibration data similarity coefficients at different vibration time periods and different historical dates by using the vibration amplitudes at different times, and determine whether there is a similar vibration time period in the historical date based on the vibration data similarity coefficient, if so, proceed to the next step, if not, determine that the ground vibration data of the buried area is abnormal; Determine the historical date containing the similar vibration period according to the vibration data similarity coefficient, and use it as the similar vibration historical date, judge whether the number of the similar vibration historical dates meets the requirement, if so, determine that there is no abnormality in the ground vibration data of the buried area, if not, proceed to the next step; Determine the distribution data of the vibration period of the ground vibration data according to the analysis result of the ground vibration data, and determine the period distribution similarity coefficient of the ground vibration data and the ground vibration data of different historical dates by using the distribution data of the vibration period, and determine whether there is a similar historical date in the historical date based on the period distribution similarity coefficient, if so, proceed to the next step, if not, determine that the ground vibration data of the buried area is abnormal; Determine the comprehensive similarity coefficient of the vibration data of the similar historical date based on the similarity coefficient of the vibration data of the similar historical date and different vibration time periods and the time period distribution similarity coefficient, and judge whether the number of similar dates whose comprehensive similarity coefficient of the vibration data is greater than the preset similarity coefficient meets the requirement, if so, determine that there is no abnormality in the ground vibration data of the buried area, if not, proceed to the next step; The abnormal coefficient of the ground vibration data is determined by multiplying the number ratio of the similar historical dates by the number ratio of similar vibration historical dates, and the abnormal coefficient is used to determine whether the ground vibration data of the buried area is abnormal.

[0027] S2 determines the matching of the ground vibration data with the working data of different types of heavy machinery and equipment based on the analysis results of the ground vibration data, and determines the construction external damage risks of different buried areas and the risk areas in the buried areas based on the matching with the working data of different types of heavy machinery and equipment; Furthermore, the working data of the heavy machinery equipment includes ground vibration data of the heavy machinery equipment in different construction stages.

[0028] It can be understood that the construction stages are divided according to the amplitude range of the ground vibration data.

[0029] Specifically, Figure 2 As shown, the method for determining the risk of external damage during construction of the buried area is: Determine ground vibration data of different types of heavy machinery and equipment at different construction stages based on the analysis results of working data of different types of heavy machinery and equipment, and determine vibration signal matching coefficients at different construction stages based on the matching of ground vibration data at different construction stages with ground data of the buried area; Determine the equipment matching coefficients of the ground vibration data of the buried area and different heavy machinery and equipment based on the vibration signal matching coefficients of different construction stages, and use the equipment matching coefficients to determine the matching machinery and equipment among the heavy machinery and equipment; The matching construction stage of the matching mechanical equipment is determined by the vibration signal matching coefficient, and the construction risk coefficient under different matching mechanical equipment is determined based on the matching construction stage. The construction external damage risk of the buried area is determined by the sum of the products of the construction risk coefficient under different matching analytical equipment and the equipment matching coefficient.

[0030] Furthermore, the value range of the construction external damage risk of the buried area is between 0 and 1, wherein when the construction external damage risk of the buried area is greater than a preset risk threshold, the buried area is determined to be a risk area.

[0031] It should also be noted that when the buried area is a risk area, it is also necessary to comprehensively consider whether the risk of external damage during construction of the buried area is within the preset risk range. When the risk of external damage during construction of the buried area is within the preset risk range, an early warning signal is directly output.

[0032] It is understandable that the method for determining the construction external damage risk of the buried area is: S21 determines the ground vibration amplitude of the buried area at different times based on the analysis result of the ground vibration data of the buried area, and judges whether there is a time when the ground vibration amplitude of the buried area does not meet the requirement. If yes, proceed to the next step; if not, determine that the buried area does not belong to the risk area; S22 determines whether the number of moments when the ground vibration amplitude does not meet the requirement is greater than the preset number of moments, if so, proceeds to step S25, if not, proceeds to the next step; S23 determines the ground vibration data of different types of heavy machinery and equipment at different construction stages based on the analysis results of the working data of different types of heavy machinery and equipment, and determines the vibration signal matching coefficients at different construction stages based on the matching conditions between the ground vibration data at different construction stages and the ground data of the buried area, and judges whether there is a construction stage in which the vibration signal matching coefficient is greater than the preset matching coefficient. If so, proceed to the next step; if not, determine that the buried area does not belong to the risk area; S24 determines the equipment matching coefficients of the ground vibration data of the buried area and different heavy machinery equipment based on the vibration signal matching coefficients of different construction stages, and uses the equipment matching coefficients to determine whether there is a matching mechanical equipment in the heavy machinery equipment. If so, proceed to the next step; if not, determine that the buried area does not belong to the risk area; S25 determines the matching construction stage of the matching mechanical equipment through the vibration signal matching coefficient, and determines the construction risk coefficient under different matching mechanical equipment based on the matching construction stage, and determines the construction external damage risk of the buried area through the sum of the products of the construction risk coefficient under different matching analytical equipment and the equipment matching coefficient.

[0033] Furthermore, when the buried area does not belong to the risk area, a preset monitoring strategy is used to acquire the ground data of the buried area in real time until abnormalities are found in the ground vibration data of the buried area.

[0034] Specifically, the preset monitoring strategy includes a preset monitoring frequency.

[0035] S3: obtaining the distribution data of the risk area, and determining the monitoring and early warning strategy of the risk area in combination with the construction external failure risks of different risk areas; Specifically, Figure 3 As shown, the method for determining the monitoring and early warning strategy of the risk area is: Determine a comprehensive external failure risk coefficient based on the construction external failure risks of different risk areas and the number of risk areas; Based on the distribution data of the risk area, determining the interval distances between different adjacent risk areas, and determining the distribution dispersion coefficient of the risk area based on the average value of the interval distances between different adjacent risk areas; Based on the weighted sum of the comprehensive external damage risk coefficient and the distribution dispersion coefficient, the monitoring and operation demand coefficient is determined, and the monitoring and early warning strategy of the risk area is determined using the monitoring and operation demand coefficient.

[0036] Furthermore, the monitoring and operation and maintenance demand coefficient is used to determine the monitoring and early warning strategy for the risk area, specifically including: Based on the monitoring and operation and maintenance demand coefficient, a preset monitoring and early warning strategy corresponding to the monitoring and operation and maintenance demand coefficient is determined, and the corresponding preset monitoring and early warning strategy is used to determine the monitoring and early warning strategy for the risk area.

[0037] It can be understood that the monitoring and early warning strategy includes monitoring frequency and risk early warning threshold.

[0038] It should also be noted that the method for determining the monitoring and early warning strategy for the risk area is: S31 obtains the number of risk areas, and determines whether the number of risk areas is greater than a preset area number threshold. If so, proceeds to the next step; if not, proceeds to step S34; S32 obtains the construction external damage risk of different risk areas, and determines whether the average value of the construction external damage risk of different risk areas meets the requirements. If so, proceed to the next step; if not, determine the monitoring and early warning strategy of the risk area using the specified monitoring and early warning strategy; S33 determines the interval distances between different adjacent risk areas based on the distribution data of the risk area, and determines the distribution dispersion coefficient of the risk area based on the average value of the interval distances between different adjacent risk areas, and judges whether the distribution dispersion coefficient of the risk area meets the requirements. If so, proceed to the next step; if not, determine the monitoring and early warning strategy of the risk area using the specified monitoring and early warning strategy; S34 determines a comprehensive external collapse risk coefficient based on the construction external collapse risks of different risk areas and the number of risk areas, and judges whether the comprehensive external collapse risk coefficient meets the requirements. If so, proceeds to the next step; if not, determines the monitoring and early warning strategy of the risk area using the specified monitoring and early warning strategy; S35 determines the monitoring and operation demand coefficient based on the weighted sum of the comprehensive external failure risk coefficient and the distribution dispersion coefficient, and uses the monitoring and operation demand coefficient to determine the monitoring and early warning strategy of the risk area.

[0039] S4 acquires the real-time ground vibration data of the risk area at the monitoring frequency corresponding to the monitoring and early warning strategy, and determines whether to issue an early warning signal according to the analysis result of the real-time ground vibration data and the monitoring and early warning strategy.

[0040] Further, determine whether to issue an early warning signal, including: Determine the ground vibration amplitude at different times within a preset period of time based on the analysis result of the real-time ground vibration data, and determine the amplitude abnormality coefficient within the preset period of time based on the ground vibration amplitude at different times; Determine the signal matching coefficients of the vibration signals within a preset time period and the signals of different types of heavy machinery and equipment at different construction stages based on the analysis results of the real-time ground vibration data, and use the signal matching coefficients to determine the matching construction stages of the heavy machinery and equipment, and determine the construction risk coefficient based on the matching construction stages; The comprehensive risk coefficient is determined by the average value of the construction risk coefficient and the amplitude abnormality coefficient, and whether the risk area issues a warning signal is determined in combination with the risk warning threshold corresponding to the monitoring and early warning strategy.

[0041] It should also be noted that when the comprehensive risk coefficient is greater than the risk warning threshold, it is determined that the risk area sends a warning signal.

[0042] Example 2 On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned method for evaluating the life of a power plant boiler taking into account furnace tube corrosion.

[0043] 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.

[0044] The above is a description of a specific embodiment of the 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.

[0045] 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 method for monitoring and early warning of external damage of 10KV cables, characterized in that: Specifically include: Using a monitoring device to obtain ground vibration data of the buried area of ​​the 10KV cable, and using the analysis result of the ground vibration data to determine the similarity between the ground vibration data and the ground vibration data of different historical dates, when it is determined based on the similarity that the ground vibration data of the buried area is abnormal, proceed to the next step; Determine the matching of the ground vibration data with the working data of different types of heavy machinery and equipment based on the analysis results of the ground vibration data, and determine the construction external damage risks of different buried areas and the risk areas in the buried areas based on the matching of the working data of different types of heavy machinery and equipment; Obtain the distribution data of the risk area, and determine the monitoring and early warning strategy of the risk area in combination with the construction external failure risks of different risk areas; The real-time ground vibration data of the risk area is acquired at a monitoring frequency corresponding to the monitoring and early warning strategy, and it is determined whether to issue an early warning signal according to the analysis result of the real-time ground vibration data and the monitoring and early warning strategy.

2. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: The monitoring device includes an intelligent analysis module, a gyroscope sensor, a wireless module, a backup battery, a solar panel, a metal protective shell, Beidou positioning and an audible and visual alarm.

3. The external damage monitoring and early warning method for 10KV cables according to claim 2 is characterized in that: The intelligent analysis module is responsible for reading and analyzing ground vibration data.

4. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: The ground vibration data includes vibration amplitudes at different times and distribution data of vibration time periods.

5. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: Determine that the ground vibration data of the buried area is abnormal, specifically including: Determine distribution data of a vibration period of the ground vibration data according to the analysis result of the ground vibration data, determine a period distribution similarity coefficient between the ground vibration data and ground vibration data of different historical dates using the period distribution data, and determine similar historical dates among the historical dates based on the period distribution similarity coefficient; Determine the vibration amplitude of the ground vibration data at different times based on the analysis result of the ground vibration data, and determine the similarity coefficient of the vibration data at different vibration time periods and different historical dates by using the vibration amplitude at different times, and determine the historical date containing the similar vibration time period according to the vibration data similarity coefficient; The abnormal coefficient of the ground vibration data is determined by multiplying the number ratio of the similar historical dates and the number ratio of the historical dates containing similar vibration periods, and the abnormal coefficient is used to determine whether the ground vibration data of the buried area is abnormal.

6. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: When there is no abnormality in the ground vibration data of the buried area, the ground data of the buried area is acquired in real time by using a preset monitoring strategy until the ground vibration data of the buried area is abnormal.

7. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: The working data of the heavy machinery equipment includes ground vibration data of the heavy machinery equipment in different construction stages.

8. The external damage monitoring and early warning method for 10KV cables according to claim 1 is characterized in that: The method for determining the monitoring and early warning strategy for the risk area is: Determine a comprehensive external failure risk coefficient based on the construction external failure risks of different risk areas and the number of risk areas; Based on the distribution data of the risk area, determining the interval distances between different adjacent risk areas, and determining the distribution dispersion coefficient of the risk area based on the average value of the interval distances between different adjacent risk areas; Based on the weighted sum of the comprehensive external damage risk coefficient and the distribution dispersion coefficient, the monitoring and operation demand coefficient is determined, and the monitoring and early warning strategy of the risk area is determined using the monitoring and operation demand coefficient.

9. The external damage monitoring and early warning method for 10KV cables according to claim 1, characterized in that: The monitoring and early warning strategy includes monitoring frequency and risk early warning threshold.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a power plant boiler life evaluation method taking into account furnace tube corrosion as described in any one of claims 1 to 9 when running the computer program.

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