CN117745265A - Intelligent monitoring method and system for low-voltage power distribution cabinet - Google Patents
Intelligent monitoring method and system for low-voltage power distribution cabinet Download PDFInfo
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Abstract
The invention discloses an intelligent monitoring method and system of a low-voltage power distribution cabinet, which relate to the technical field of power distribution cabinet monitoring, and the method comprises the following steps: extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit; acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter; carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters; performing power abnormal maintenance to obtain power maintenance data and the power abnormal maintenance parameters, performing maintenance quality detection, and generating relay maintenance parameters; the multistage quantitative maintenance is carried out, the monitoring of the target power distribution cabinet is completed, the problem that the power distribution cabinet cannot be comprehensively evaluated and maintained due to insufficient rigor and perfection of the power distribution cabinet monitoring work in the prior art is solved, and the maintenance efficiency and safety of the power distribution cabinet are improved.
Description
Technical Field
The invention relates to the technical field of monitoring of power distribution cabinets, in particular to an intelligent monitoring method and system of a low-voltage power distribution cabinet.
Background
With the continuous development of power systems, the power distribution cabinet is taken as an important component of the power system, and the running state and the power quality of the power distribution cabinet have important influences on the stability and the economy of the whole power system. In order to ensure the normal operation and the electric energy quality of the power distribution cabinet, the power distribution cabinet needs to be monitored and analyzed in real time. At present, monitoring and analysis of a power distribution cabinet mainly depends on equipment such as a power quality monitor and the like. The equipment can monitor the power quality parameters of the power distribution cabinet, such as voltage, current, frequency, power factor, harmonic wave and the like in real time, and process and analyze the monitored data through data analysis software. However, the conventional monitoring and analyzing methods have problems such as large data volume, low processing efficiency, lack of intelligent analysis, and the like.
The monitoring work of the power distribution cabinet in the prior art cannot be comprehensively evaluated and maintained due to insufficient rigor and perfection, so that the maintenance efficiency and safety of the power distribution cabinet are not improved finally.
Disclosure of Invention
The application provides an intelligent monitoring method and system for a low-voltage power distribution cabinet, which solve the problem that the power distribution cabinet cannot be comprehensively evaluated and maintained due to insufficient rigor and perfection of power distribution cabinet monitoring work in the prior art, so that the maintenance efficiency and safety of the power distribution cabinet are improved.
In view of the above problems, the present application provides an intelligent monitoring method for a low-voltage power distribution cabinet.
In a first aspect, the present application provides an intelligent monitoring method for a low-voltage power distribution cabinet, where the method includes: extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit; acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter; carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters; performing power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtaining power maintenance data and the power abnormality maintenance parameter, performing maintenance quality detection, and generating a relay maintenance parameter; and carrying out multistage quantitative maintenance on the relay maintenance data to complete the monitoring of the target power distribution cabinet.
Further, grading the relay maintenance data through a grading threshold value to obtain a multi-stage relay maintenance data set; performing hierarchical maintenance according to the multi-level relay maintenance data set to obtain a multi-level maintenance sequence, wherein the multi-level maintenance sequence has relativity; and carrying out continuous maintenance according to the multi-stage maintenance sequence to complete the monitoring of the target power distribution cabinet.
Further, the interaction harmonic analyzer obtains a harmonic level of the target power distribution cabinet; configuring a filter, and performing primary filtering on the harmonic level to obtain a filtering level; carrying out channel separation on the filtering level through a reactive power compensation device to obtain a reduced filtering level; and identifying the equipment of which the filtering level meets the filtering threshold value, and generating an equipment replacement instruction in the next power operation period according to the identification.
Further, monitoring and obtaining the electric energy quality parameters of the target power distribution cabinet according to an electric energy quality monitor; respectively obtaining power quality monitoring indexes according to the power quality parameters to obtain index standard thresholds; carrying out fluctuation offset monitoring on the index standard threshold value by the power quality parameter, and extracting the power quality offset parameter; and positioning the fault position of the power quality offset parameter, and carrying out fault maintenance according to the maintenance record.
Further, acquiring a monitoring report, grading fault properties of maintenance data in the monitoring report, and generating a fault processing grade; and carrying out priority maintenance on the power abnormality according to the fault processing grade, and completing the monitoring of the target power distribution cabinet.
Further, performing security dimension evaluation on the maintenance data to generate a first weight; performing power system operation dimension evaluation on the maintenance data to generate a second weight; and grading the maintenance data according to the first weight and the second weight, and determining the fault processing grade.
In a second aspect, the present application provides an intelligent monitoring system for a low voltage power distribution cabinet, the system comprising: monitoring and maintaining unit module: extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit; the power parameter acquisition module: acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter; an abnormal maintenance parameter module: carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters; and a maintenance quality detection module: performing power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtaining power maintenance data and the power abnormality maintenance parameter, performing maintenance quality detection, and generating a relay maintenance parameter; multistage quantitative maintenance module: and carrying out multistage quantitative maintenance on the relay maintenance data to complete the monitoring of the target power distribution cabinet.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the intelligent monitoring method and system for the low-voltage power distribution cabinet, the equipment operation record and the maintenance record are extracted, the power parameter record and the maintenance parameter record are obtained, the power parameter monitoring maintenance unit is constructed, the digital electric energy meter is used for collecting the power parameter of the target power distribution cabinet, the monitoring maintenance unit monitors the power parameter to obtain the power abnormality monitoring parameter, the power abnormality maintenance parameter is obtained by matching the maintenance parameter record, the power abnormality maintenance is carried out, the power maintenance data and the power abnormality maintenance parameter are obtained to carry out maintenance quality detection, the relay maintenance parameter is generated, finally the relay maintenance data are quantitatively maintained in multiple stages, the problem that the power distribution cabinet cannot be comprehensively evaluated and maintained due to insufficient rigor and perfection of the power distribution cabinet monitoring work in the prior art is solved, and the maintenance efficiency and safety of the power distribution cabinet are improved.
Drawings
Fig. 1 is a schematic flow chart of an intelligent monitoring method of a low-voltage power distribution cabinet;
fig. 2 is a schematic structural diagram of an intelligent monitoring system of a low-voltage power distribution cabinet.
Reference numerals illustrate: the system comprises a monitoring maintenance unit module 11, a power parameter acquisition module 12, an abnormal maintenance parameter module 13, a maintenance quality detection module 14 and a multistage quantitative maintenance module 15.
Detailed Description
According to the intelligent monitoring method and system for the low-voltage power distribution cabinet, the power parameter record and the maintenance parameter record are obtained through the extraction of the equipment operation record and the maintenance record, the power parameter monitoring maintenance unit is constructed, the digital electric energy meter is used for collecting the power parameter of the target power distribution cabinet, the monitoring maintenance unit monitors the power parameter to obtain the power abnormality monitoring parameter, the power abnormality maintenance parameter is obtained through matching the maintenance parameter record, the power abnormality maintenance is carried out, the maintenance quality detection is carried out on the power maintenance data and the power abnormality maintenance parameter, the relay maintenance parameter is generated, and finally the multi-stage quantitative maintenance is carried out on the relay maintenance data, so that the monitoring of the target power distribution cabinet is completed. The problem that the power distribution cabinet cannot be comprehensively evaluated and maintained due to insufficient rigor and perfection of power distribution cabinet monitoring work in the prior art is solved, and the maintenance efficiency and safety of the power distribution cabinet are improved.
Example 1
As shown in fig. 1, the application provides an intelligent monitoring method and system for a low-voltage power distribution cabinet, wherein the method comprises the following steps:
extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit;
the equipment operation records comprise the starting and stopping time, the operation duration, the operation state, such as normal operation state, abnormal operation state, shutdown and the like of the equipment, and any special event or fault in the operation process of the equipment. The maintenance record contains the maintenance history of the device, including the date of maintenance, the content of maintenance, such as replacement parts, cleaning, calibration, etc., as well as information of maintenance personnel and the state of the device after maintenance. The power parameter records include real-time data related to power, such as voltage, current, active power, reactive power, power factor, frequency, etc. Maintenance parameter records refer to various parameter setting and adjustment records involved in the maintenance process, including calibration parameters of equipment, specification models of replacement parts, and the like. The power parameter monitoring maintenance unit is constructed according to the power parameter record and the maintenance parameter record, can monitor the power parameter, judge the abnormality of the power parameter, monitor the power parameter through the power parameter monitoring maintenance unit, acquire the power abnormality monitoring parameter, and match the maintenance parameter record to acquire the power abnormality maintenance parameter.
Acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter;
the digital electric energy meter is equipment for collecting the electric power parameters of the power distribution cabinet, selects a proper digital electric energy meter according to the specification and the requirement of the target power distribution cabinet, and installs the digital electric energy meter at a proper position of the target power distribution cabinet, so that the accurate measurement and recording of the electric power parameters are ensured. And configuring parameters of the digital electric energy meter according to the power parameter requirements of the target power distribution cabinet, and ensuring correct configuration so as to accurately measure and record the power parameters. Starting a digital electric energy meter, starting to acquire the target power distribution cabinet in real time to obtain the power parameters of the target power distribution cabinet, and providing a data basis for carrying out power parameter monitoring on the power parameters through a power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching maintenance parameter records to obtain power abnormality maintenance parameters.
Carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters;
and the power parameter monitoring and maintaining unit monitors and analyzes the power parameters such as voltage, current, power factor and the like in real time after receiving the power parameter data acquired by the digital electric energy meter, and judges whether abnormality exists or not. If an abnormality exists, the power parameter monitoring maintenance unit generates a power abnormality monitoring parameter from the power parameter. The power abnormality monitoring parameters include information such as the type, extent, occurrence time, etc. of the abnormality. And matching the power abnormality monitoring parameters with the maintenance parameter records, and obtaining the power abnormality maintenance parameters corresponding to the power abnormality monitoring parameters through comparison and analysis. The maintenance parameters are obtained from the maintenance parameter records, and the maintenance parameters are extracted as the power abnormality maintenance parameters, so that the efficiency of obtaining the power abnormality maintenance parameters is improved.
Performing power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtaining power maintenance data and the power abnormality maintenance parameter, performing maintenance quality detection, and generating a relay maintenance parameter;
and carrying out power abnormality maintenance according to the power abnormality monitoring parameters and the power abnormality maintenance parameters, wherein the power abnormality maintenance comprises checking equipment, replacing parts, adjusting parameters and the like. And acquiring various data generated in the maintenance process to obtain electric power maintenance data. By analysis of the power maintenance data, the quality and effectiveness of the maintenance operation can be assessed. The maintenance quality is evaluated by comparing the matching degree of the power maintenance data and the power abnormal maintenance parameters and the operation state of the maintained equipment, a maintenance quality monitoring result is obtained, the maintenance quality monitoring result is further optimized to obtain a secondary maintenance parameter, the secondary maintenance parameter is generated by analyzing the power maintenance data, and the operation stability and efficiency of the power distribution cabinet can be improved.
And carrying out multistage quantitative maintenance on the relay maintenance data to complete the monitoring of the target power distribution cabinet.
Grading the secondary maintenance data through a grading threshold value to obtain a multi-stage secondary maintenance data set;
performing hierarchical maintenance according to the multi-level relay maintenance data set to obtain a multi-level maintenance sequence, wherein the multi-level maintenance sequence has relativity;
and carrying out continuous maintenance according to the multi-stage maintenance sequence to complete the monitoring of the target power distribution cabinet.
The multi-stage quantitative maintenance refers to grading the secondary maintenance data and carrying out grading maintenance according to the grading sequence. And grading the secondary maintenance data by setting a grading threshold. The grading threshold is a grading standard according to the threshold formulated by the maintenance history data, the equipment performance index and the like. And dividing the relay maintenance data into different levels according to the grading threshold value to form a multi-level relay maintenance data set. Each level represents a different maintenance requirement and maintenance priority. And performing hierarchical maintenance according to the multi-level relay maintenance data set. And for the relay maintenance data of different levels, corresponding maintenance measures and resource allocation are adopted. By comprehensively considering the level of the secondary maintenance data and the operation state of the equipment, a multi-level maintenance sequence with conjoint can be generated. Each maintenance sequence comprises a plurality of maintenance tasks and steps, which are performed in a certain order to ensure the stability and safety of the device. According to the multi-level maintenance sequence, joint maintenance is carried out, namely when a certain level of maintenance is carried out, the influence on other levels is required to be considered, corresponding coordination and maintenance operation are carried out according to the influence range and the influence condition, the mutual coordination of maintenance tasks of different levels is ensured, and the monitoring of the target power distribution cabinet is completed. Through hierarchical maintenance, the key problems can be guaranteed to be processed preferentially, and the utilization efficiency of maintenance resources is optimized. Meanwhile, different levels of maintenance operations have different relativity, and the continuity and coordination of maintenance are ensured.
Further, the method further comprises:
the interaction harmonic analyzer obtains the harmonic level of the target power distribution cabinet;
configuring a filter, and performing primary filtering on the harmonic level to obtain a filtering level;
carrying out channel separation on the filtering level through a reactive power compensation device to obtain a reduced filtering level;
and identifying the equipment of which the filtering level meets the filtering threshold value, and generating an equipment replacement instruction in the next power operation period according to the identification.
A harmonic analyzer is an instrument for measuring and analyzing harmonics, which can measure characteristics of the harmonics, such as frequency, amplitude, phase, and waveform. By using a harmonic analyzer, the level and distribution of harmonics in the power system can be measured to assess the stability and efficiency of the power system. The harmonic level refers to the amplitude and frequency distribution of the harmonics in the power system, which reflects the pollution level of the harmonics in the power system. The filter is used for filtering out harmonic waves and reducing the influence of the harmonic waves on equipment. The reactive power compensation device can be used for compensating reactive power in the power distribution cabinet and improving power factors. The reactive power compensation device is used for carrying out path separation on the filtering level, so that the harmonic level can be further reduced, and the stability and efficiency of the power system are improved. And acquiring and identifying the equipment with the filtering level meeting the filtering threshold value, wherein the identified equipment is problematic and needs to be replaced. For devices identified as requiring replacement, a corresponding device replacement instruction is generated in a next power cycle. The instructions can include detailed information of the type, specification, time and the like of the replacement equipment so as to ensure that the equipment with problems is replaced in time and improve the operation efficiency and the safety of the power distribution cabinet.
Further, the method further comprises:
the electric energy quality parameters of the target power distribution cabinet are obtained according to monitoring of the electric energy quality monitor;
respectively obtaining power quality monitoring indexes according to the power quality parameters to obtain index standard thresholds;
carrying out fluctuation offset monitoring on the index standard threshold value by the power quality parameter, and extracting the power quality offset parameter;
and positioning the fault position of the power quality offset parameter, and carrying out fault maintenance according to the maintenance record.
A power quality monitor is an instrument for monitoring and analyzing the quality of power, which can measure and display various quality parameters of power. And monitoring the target power distribution cabinet in real time according to the monitoring of the power quality monitor to obtain the power quality parameter. The method comprises the steps of extracting monitoring indexes of the power quality parameters to obtain a plurality of monitoring indexes, constructing the power quality monitoring indexes by the plurality of monitoring indexes, judging various values in the power quality monitoring indexes, wherein the power quality monitoring indexes comprise voltage fluctuation, frequency deviation, harmonic distortion and the like, and obtaining an index standard threshold value. And the fluctuation deviation monitoring is to acquire the fluctuation deviation parameter when the power quality parameter fluctuates compared with the index standard threshold value, so as to obtain the power quality deviation parameter. And (3) combining the information of the power quality offset parameter, the structure, the operation data and the like of the power distribution cabinet, positioning a fault position causing the power quality problem, and carrying out fault maintenance operation according to the fault position and the maintenance record, wherein the fault maintenance comprises the steps of replacing damaged elements, adjusting parameter setting, eliminating external interference and the like. Through undulant skew monitoring, can improve the operating efficiency and the security of switch board.
Further, the method further comprises:
acquiring a monitoring report, grading fault properties of maintenance data in the monitoring report, and generating a fault processing grade;
and carrying out priority maintenance on the power abnormality according to the fault processing grade, and completing the monitoring of the target power distribution cabinet.
And acquiring the power quality monitoring report of the target power distribution cabinet through a power quality monitor or other monitoring equipment. The monitoring report includes maintenance data and measured values of various power quality parameters, statistical data, abnormal conditions and the like. And comprehensively evaluating according to the safety degree and the operation dimension of the electric energy quality parameters in the maintenance data, and grading the fault property to obtain the fault processing grade. The fault handling levels may be divided into different levels, for example, one level, representing a severe fault; second stage, representing moderate fault; three steps, representing a slight failure. And according to the fault processing level, carrying out priority maintenance on the power abnormality. For faults with high priority, measures should be taken immediately to repair, and for faults with low priority, the faults can be arranged to be processed later, so that the monitoring of the target power distribution cabinet is completed. By evaluating and feeding back the monitoring and maintenance results, the process can be continuously perfected and maintained, and the operation efficiency and safety of the power distribution cabinet are improved.
Further, the method further comprises:
performing security dimension evaluation on the maintenance data to generate a first weight;
performing power system operation dimension evaluation on the maintenance data to generate a second weight;
and grading the maintenance data according to the first weight and the second weight, and determining the fault processing grade.
The safety dimension evaluation is mainly used for evaluating the influence of the safety dimension evaluation on the stability of the power system and the safety of equipment from the perspective of the safety of maintenance data. Through the evaluation of the safety dimension, whether potential safety hazards such as voltage fluctuation, current abnormality, frequency deviation and the like exist in the maintenance data can be determined. And generating corresponding first weights according to the evaluation results of the safety dimension. The size of the weights reflects the importance of the maintenance data in the security dimension. The power system operation dimension assessment is mainly from the perspective of influence of maintenance data on the power system operation efficiency and economy. By evaluating the operation dimension, it can be determined whether there are factors affecting the operation efficiency and economy of the power system, such as harmonic content, power factor, etc., in the maintenance data. And generating corresponding second weights according to the evaluation results of the operation dimensions. The size of the second weight reflects the importance of the maintenance data in the running dimension. And comprehensively considering the first weight and the second weight, and comprehensively grading the maintenance data. And acquiring a weighted sum of the first weight and the second weight, wherein the larger the weighted sum of the weights is, the higher the importance of the maintenance data is, the higher the corresponding level is, and grading the maintenance data according to the weighted sum to obtain the fault processing level. And the maintenance data is rated according to the first weight and the second weight, so that the operation efficiency and the safety of the power distribution cabinet can be improved, and the stability and the economy of the power system are ensured.
Example two
Based on the same inventive concept as the intelligent monitoring method of a low-voltage power distribution cabinet in the foregoing embodiment, as shown in fig. 2, the present application provides an intelligent monitoring system of a low-voltage power distribution cabinet, where the system includes:
monitoring maintenance unit module 11: the monitoring maintenance unit module 11 is used for extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit;
power parameter acquisition module 12: the electric power parameter acquisition module 12 is used for acquiring electric power parameters of the target power distribution cabinet through the digital electric energy meter;
the anomaly maintenance parameter module 13: the abnormal maintenance parameter module 13 is configured to perform power parameter monitoring on the power parameter through the power parameter monitoring maintenance unit to obtain a power abnormal monitoring parameter, and match the maintenance parameter record to obtain a power abnormal maintenance parameter;
maintenance quality detection module 14: the maintenance quality detection module 14 is configured to perform power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtain power maintenance data, and perform maintenance quality detection on the power abnormality maintenance parameter, and generate a subsequent maintenance parameter;
multistage quantitative maintenance module 15: the multistage quantitative maintenance module 15 is used for carrying out multistage quantitative maintenance on the relay maintenance data to complete monitoring of the target power distribution cabinet.
Further, the system further comprises:
grading the secondary maintenance data through a grading threshold value to obtain a multi-stage secondary maintenance data set;
performing hierarchical maintenance according to the multi-level relay maintenance data set to obtain a multi-level maintenance sequence, wherein the multi-level maintenance sequence has relativity;
and carrying out continuous maintenance according to the multi-stage maintenance sequence to complete the monitoring of the target power distribution cabinet.
Further, the system further comprises:
the interaction harmonic analyzer obtains the harmonic level of the target power distribution cabinet;
configuring a filter, and performing primary filtering on the harmonic level to obtain a filtering level;
carrying out channel separation on the filtering level through a reactive power compensation device to obtain a reduced filtering level;
and identifying the equipment of which the filtering level meets the filtering threshold value, and generating an equipment replacement instruction in the next power operation period according to the identification.
Further, the system further comprises:
the electric energy quality parameters of the target power distribution cabinet are obtained according to monitoring of the electric energy quality monitor;
respectively obtaining power quality monitoring indexes according to the power quality parameters to obtain index standard thresholds;
carrying out fluctuation offset monitoring on the index standard threshold value by the power quality parameter, and extracting the power quality offset parameter;
and positioning the fault position of the power quality offset parameter, and carrying out fault maintenance according to the maintenance record.
Further, the system further comprises:
acquiring a monitoring report, grading fault properties of maintenance data in the monitoring report, and generating a fault processing grade;
and carrying out priority maintenance on the power abnormality according to the fault processing grade, and completing the monitoring of the target power distribution cabinet.
Further, the system further comprises:
performing security dimension evaluation on the maintenance data to generate a first weight;
performing power system operation dimension evaluation on the maintenance data to generate a second weight;
and grading the maintenance data according to the first weight and the second weight, and determining the fault processing grade.
Through the foregoing detailed description of the intelligent monitoring method of the low-voltage power distribution cabinet, those skilled in the art can clearly know the intelligent monitoring method of the low-voltage power distribution cabinet in the embodiment, and for the device disclosed in the embodiment, the description is relatively simple because the device corresponds to the method disclosed in the embodiment, and relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The intelligent monitoring method of the low-voltage power distribution cabinet is characterized by comprising the following steps of:
extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit;
acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter;
carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters;
performing power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtaining power maintenance data and the power abnormality maintenance parameter, performing maintenance quality detection, and generating a relay maintenance parameter;
and carrying out multistage quantitative maintenance on the relay maintenance data to complete the monitoring of the target power distribution cabinet.
2. The method of claim 1, wherein the method further comprises:
grading the secondary maintenance data through a grading threshold value to obtain a multi-stage secondary maintenance data set;
performing hierarchical maintenance according to the multi-level relay maintenance data set to obtain a multi-level maintenance sequence, wherein the multi-level maintenance sequence has relativity;
and carrying out continuous maintenance according to the multi-stage maintenance sequence to complete the monitoring of the target power distribution cabinet.
3. The method of claim 1, wherein the method further comprises:
the interaction harmonic analyzer obtains the harmonic level of the target power distribution cabinet;
configuring a filter, and performing primary filtering on the harmonic level to obtain a filtering level;
carrying out channel separation on the filtering level through a reactive power compensation device to obtain a reduced filtering level;
and identifying the equipment of which the filtering level meets the filtering threshold value, and generating an equipment replacement instruction in the next power operation period according to the identification.
4. The method of claim 1, wherein the method further comprises:
the electric energy quality parameters of the target power distribution cabinet are obtained according to monitoring of the electric energy quality monitor;
respectively obtaining power quality monitoring indexes according to the power quality parameters to obtain index standard thresholds;
carrying out fluctuation offset monitoring on the index standard threshold value by the power quality parameter, and extracting the power quality offset parameter;
and positioning the fault position of the power quality offset parameter, and carrying out fault maintenance according to the maintenance record.
5. The method of claim 1, wherein the method further comprises:
acquiring a monitoring report, grading fault properties of maintenance data in the monitoring report, and generating a fault processing grade;
and carrying out priority maintenance on the power abnormality according to the fault processing grade, and completing the monitoring of the target power distribution cabinet.
6. The method of claim 5, wherein generating a fault handling level comprises:
performing security dimension evaluation on the maintenance data to generate a first weight;
performing power system operation dimension evaluation on the maintenance data to generate a second weight; and grading the maintenance data according to the first weight and the second weight, and determining the fault processing grade.
7. An intelligent monitoring system for a low voltage power distribution cabinet, the system comprising:
monitoring and maintaining unit module: extracting equipment operation records and maintenance records, acquiring power parameter records and maintenance parameter records, and constructing a power parameter monitoring maintenance unit;
the power parameter acquisition module: acquiring electric power parameters of a target power distribution cabinet through a digital electric energy meter;
an abnormal maintenance parameter module: carrying out power parameter monitoring on the power parameters through the power parameter monitoring maintenance unit to obtain power abnormality monitoring parameters, and matching the maintenance parameter records to obtain power abnormality maintenance parameters;
and a maintenance quality detection module: performing power abnormality maintenance according to the power abnormality monitoring parameter and the power abnormality maintenance parameter, obtaining power maintenance data and the power abnormality maintenance parameter, performing maintenance quality detection, and generating a relay maintenance parameter;
multistage quantitative maintenance module: and carrying out multistage quantitative maintenance on the relay maintenance data to complete the monitoring of the target power distribution cabinet.
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