Method for carrying out electrical risk early warning by monitoring noise in distribution box

Abstract

The invention relates to the technical field of electric power facility monitoring, in particular to a method for carrying out electrical risk early warning by monitoring noise in a distribution box. The method comprises the steps of firstly collecting noise data in a distribution box, identifying noise conditions inside and outside the distribution box, providing a basis for subsequent analysis, then analyzing and identifying the noise data, comparing the noise data with a database, distinguishing normal and abnormal noise, perfecting monitoring dimensions, analyzing risk levels according to noise characteristics, dividing the risk levels into different levels, and realizing risk quantification. According to the scheme, the electric risk early warning is carried out by monitoring the noise in the distribution box, then moderate and serious risks are alarmed and related personnel are notified to ensure timely response, and finally, the noise data are archived to facilitate subsequent query and analysis, and by adopting the scheme, the electric risk early warning is carried out by monitoring the noise in the distribution box, so that the monitoring dimension of the hidden danger of the distribution box is completed.

Description

Technical Field

[0001] The present invention relates to the technical field of power facility monitoring, and in particular to a method for early warning of electrical risks by monitoring noise in a distribution box. Background Art

[0002] As a crucial component of the power system, distribution boxes undertake the critical tasks of distributing, controlling, and protecting electrical energy. However, due to long-term operation, environmental factors, and equipment aging, distribution boxes are at risk of electrical failures. These failures can impact normal power supply at the very least, or even cause serious accidents such as fires and explosions, posing a significant threat to the safety of life and property.

[0003] Currently, electrical risk monitoring for distribution boxes primarily relies on physical measurements such as temperature, voltage, and current, as well as chemical detection methods such as pyrolytic particle detection. While these methods can provide a certain degree of insight into the operating status of distribution boxes, they also have limitations. For example, temperature monitoring may not detect localized overheating in a timely manner, voltage and current monitoring can be affected by grid fluctuations, and pyrolytic particle detection requires a fault to develop to a certain level before generating a noticeable signal.

[0004] Because abnormal noise is often generated before an electrical fault occurs in a distribution box, which may be caused by poor contact, capacitor explosion, short circuit, etc., it has the potential to provide early warning. However, there is currently no clear technical solution to provide electrical risk warning by monitoring the noise inside the distribution box. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for electrical risk warning by monitoring the noise in the distribution box, so as to solve the problem that there is currently no clear technical solution for electrical risk warning by monitoring the noise in the distribution box, and the monitoring dimension of hidden dangers in the distribution box is not perfect.

[0006] To achieve the above objectives, the present invention provides a method for early warning of electrical risks by monitoring noise in a distribution box. The method for early warning of electrical risks by monitoring noise in a distribution box comprises the following steps:

[0007] Noise data collection: Collect noise data inside the distribution box to identify noise conditions inside and outside the box;

[0008] Noise analysis and identification: Analyze and identify the collected noise data, and compare it with the data in the distribution box noise database to distinguish normal from abnormal noise;

[0009] Risk level analysis: Analyze the electrical risk level of the distribution box based on noise characteristics and classify it into normal operation, moderate risk, and severe risk;

[0010] Risk alert release: Issue alerts for moderate and severe risks identified in the analysis and notify relevant personnel through various means;

[0011] Noise data archiving: Archive the distribution box noise data, including noise time, frequency and amplitude, for subsequent query and analysis.

[0012] Among them, the specific content of the step "noise data collection" is:

[0013] The noise data inside the distribution box is collected. By setting the initial external noise P0 and internal initial noise Q0 of the distribution box and introducing the time parameter T, the internal and external noise of the distribution box can be identified and collected.

[0014] The specific steps of the step "noise analysis and identification" are:

[0015] Perform preliminary processing on the noise data collected in the distribution box to improve data quality and provide accurate basic data for subsequent analysis and identification;

[0016] Extract key features such as frequency, amplitude, and duration from preprocessed noise data;

[0017] Compare the extracted noise features with the data in the distribution box noise database;

[0018] Based on the comparison results, normal noise and abnormal noise are distinguished. If the collected noise characteristics match the normal noise characteristics in the database, it is determined to be normal noise. If they match the abnormal noise characteristics or no matching normal noise characteristics are found, it is determined to be abnormal noise.

[0019] For the identified abnormal noise, its specific type is further analyzed.

[0020] Among them, the step "noise analysis and identification" also includes real-time database updates: during the analysis and identification process, if new abnormal noise characteristics are found or existing noise characteristics change, these new characteristics or changes will be updated to the distribution box noise database in a timely manner to maintain the timeliness and accuracy of the database.

[0021] Among them, the step "noise analysis and identification" also includes recording and analysis logs: recording the results of each noise analysis and identification, including the distinction between normal and abnormal noise, the type of abnormal noise and database updates, forming an analysis log to facilitate subsequent auditing and tracing.

[0022] The specific contents of the step "Risk Level Analysis" are as follows:

[0023] Based on the abnormal noise characteristics confirmed in the noise analysis and identification stage, combined with the preset distribution box risk level classification standards, the current electrical risk level of the distribution box is comprehensively evaluated and determined. Normal operation means that there is no abnormal noise generated by the facilities in the distribution box. Moderate risk indicates that the electrical hidden danger is about to fail and needs to be dealt with immediately. Severe risk means that there is an electrical fault in the distribution box and an emergency power outage is required.

[0024] The specific contents of the step "Risk Alert Release" are as follows:

[0025] After completing the risk level analysis, the alarm mechanism is immediately triggered for the moderate risk and severe risk levels obtained through the analysis. Through multiple preset communication methods, the risk level, noise type and specific fault type are promptly and accurately conveyed to the designated alarm target, and a clear prompt is given that immediate treatment measures must be taken to ensure the safe operation of the distribution box.

[0026] The specific contents of the step "noise data archiving" are as follows:

[0027] All noise data obtained during the distribution box noise data collection phase, risk level analysis, and related records generated during the risk alarm release phase are systematically organized and stored to form a complete noise data archive, which facilitates subsequent query, analysis, and responsibility tracing, while also supporting data retrieval and display.

[0028] The present invention provides a method for early warning of electrical risks by monitoring the noise in a distribution box. First, noise data in the distribution box is collected to identify the noise conditions inside and outside the box, providing a basis for subsequent analysis. Then, the noise data is analyzed and identified, and compared with a database to distinguish normal from abnormal noise, thereby improving the monitoring dimension. Subsequently, the risk level is analyzed according to the noise characteristics and divided into different levels to achieve risk quantification. Then, moderate and severe risks are warned and relevant personnel are notified to ensure timely response. Finally, the noise data is archived for subsequent query and analysis. The above scheme is adopted to carry out early warning of electrical risks by monitoring the noise in the distribution box, thereby completing the monitoring dimension of hidden dangers in the distribution box. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 This is a flowchart of the steps of the method for early warning of electrical risks by monitoring noise in a distribution box provided by the present invention. DETAILED DESCRIPTION

[0031] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0032] See also Figure 1 The present invention provides a method for early warning of electrical risks by monitoring noise in a distribution box. The method comprises the following steps:

[0033] Noise data collection: Collect noise data inside the distribution box to identify noise conditions inside and outside the box;

[0034] Noise analysis and identification: Analyze and identify the collected noise data, and compare it with the data in the distribution box noise database to distinguish normal from abnormal noise;

[0035] Risk level analysis: Analyze the electrical risk level of the distribution box based on noise characteristics and classify it into normal operation, moderate risk, and severe risk;

[0036] Risk alert release: Issue alerts for moderate and severe risks identified in the analysis and notify relevant personnel through various means;

[0037] Noise data archiving: Archive the distribution box noise data, including noise time, frequency and amplitude, for subsequent query and analysis.

[0038] In this embodiment, the noise data inside the distribution box is first collected to identify the noise conditions inside and outside the box, providing a basis for subsequent analysis. Then, the noise data is analyzed and identified, and compared with the database to distinguish normal from abnormal noise, thereby improving the monitoring dimension. Subsequently, the risk level is analyzed according to the noise characteristics and divided into different levels to achieve risk quantification. Then, moderate and severe risks are warned and relevant personnel are notified to ensure timely response. Finally, the noise data is archived for subsequent query and analysis. The above scheme is adopted to carry out electrical risk warning by monitoring the noise inside the distribution box, thereby completing the monitoring dimension of hidden dangers in the distribution box.

[0039] Furthermore, the specific contents of the step "noise data collection" are:

[0040] The noise data inside the distribution box is collected. By setting the external initial noise P0 (including frequency f and amplitude A) and the internal initial noise Q0 (including frequency f and amplitude A) of the distribution box, and introducing the time parameter T, the internal and external noise of the distribution box can be identified and collected.

[0041] Furthermore, the specific steps of the step "noise analysis and identification" are:

[0042] Perform preliminary processing on the noise data collected from the distribution box, including filtering and denoising, to improve data quality and provide accurate basic data for subsequent analysis and identification;

[0043] Extract key features from the preprocessed noise data, such as frequency, amplitude, duration, etc. These features will be used for subsequent comparison and analysis;

[0044] The extracted noise characteristics are compared with the data in the distribution box noise database, which stores the characteristic data of known normal noise and abnormal noise;

[0045] Based on the comparison results, normal noise and abnormal noise are distinguished. If the collected noise characteristics match the normal noise characteristics in the database, it is determined to be normal noise. If they match the abnormal noise characteristics or no matching normal noise characteristics are found, it is determined to be abnormal noise.

[0046] The identified abnormal noises are further analyzed for specific types, such as hissing, humming, and banging, which are associated with specific electrical faults.

[0047] Furthermore, the step "noise analysis and identification" also includes real-time updating of the database: during the analysis and identification process, if new abnormal noise characteristics are found or existing noise characteristics change, these new characteristics or changes are promptly updated to the distribution box noise database to maintain the timeliness and accuracy of the database.

[0048] Furthermore, the step "noise analysis and identification" also includes recording and analysis logs: recording the results of each noise analysis and identification, including the distinction between normal and abnormal noise, the type of abnormal noise and database updates, to form an analysis log for subsequent auditing and tracing.

[0049] In this embodiment, the collected noise data is first preprocessed by filtering, denoising, etc. to improve the data quality, and then key features such as frequency, amplitude and duration are extracted for comparison and analysis. The noise type is distinguished by comparing with normal and abnormal noise features stored in the database, and the specific type of abnormal noise is further analyzed to associate with specific electrical faults; at the same time, the database is updated in real time during the analysis and identification process to ensure the timeliness and accuracy of the noise features, and the results of each analysis are recorded in a log to facilitate subsequent auditing and tracing, thereby improving the monitoring dimension of hidden dangers in distribution boxes and providing a reliable basis for electrical risk warning.

[0050] Furthermore, the specific contents of the step "Risk Level Analysis" are:

[0051] Based on the abnormal noise characteristics confirmed in the noise analysis and identification stage (including noise type, frequency, amplitude, duration, etc.), combined with the preset distribution box risk level classification standards (such as normal operation, moderate risk, and severe risk), the current electrical risk level of the distribution box is comprehensively evaluated and determined. Normal operation means that there is no abnormal noise generated by the facilities in the distribution box. Moderate risk indicates that the electrical hidden danger is about to fail and needs to be dealt with immediately. Severe risk means that there is an electrical fault in the distribution box and an emergency power outage is required.

[0052] In this embodiment, noise needs to be divided into three levels, namely normal operation, moderate risk and severe risk, as shown in Table 1 below:

[0053] Table 1. Risk level analysis

[0054]

[0055] Normal operation means there is no noise inside the distribution box, only noise outside the distribution box, reflecting that the distribution box is operating normally and there is no fault. Moderate risk means that the electrical hidden danger has reached the stage of imminent failure and must be dealt with immediately; serious risk means that an electrical fault is already occurring in the distribution box, including fault arc, fire, explosion, etc., and power must be cut off immediately.

[0056] Furthermore, the specific contents of the step “Risk Alert Release” are as follows:

[0057] After completing the risk level analysis, the alarm mechanism will be triggered immediately for the moderate risk and severe risk levels obtained through the analysis. Through preset multiple communication methods (including but not limited to telephone, text messages, equipment voice reminders, buzzer alarms, etc.), key information such as risk level, noise type, specific fault type, etc. will be promptly and accurately conveyed to the designated alarm targets (such as unit electricians, safety officers, safety managers, unit leaders and relevant government departments), and clear reminders will be given that immediate measures must be taken to ensure the safe operation of the distribution box.

[0058] In this embodiment, after completing the risk level analysis, the alarm mechanism is quickly activated for moderate and severe risk levels, and core information such as risk level, noise type and specific fault type are accurately and promptly conveyed to relevant responsible personnel through diversified communication means such as telephone, text messages, device voice reminders and buzzer alarms, and clear requirements are made to take immediate measures. This series of operations effectively ensures that potential safety hazards of the distribution box can be quickly discovered and handled, thereby ensuring the safe and stable operation of the distribution box.

[0059] Furthermore, the specific contents of the step "noise data archiving" are:

[0060] All noise data obtained during the distribution box noise data collection phase, including key parameters such as the time, frequency, and amplitude of the noise, as well as relevant records generated during the risk level analysis and risk alarm issuance phase (such as risk level determination results, alarm content, alarm time, alarm object, processing flow, etc.), are systematically organized and stored to form a complete noise data archive to facilitate subsequent query, analysis, and responsibility tracing. At the same time, it supports data retrieval and display (such as curve charts, bar charts, or pie charts) through multiple dimensions such as time, frequency, alarm content, and whether hidden dangers have been handled.

[0061] In this embodiment, the key parameters (such as time, frequency, amplitude) of the distribution box noise data collection stage and the relevant records of the risk level analysis and alarm release stage are systematically organized and stored to form a complete file. This is not only convenient for subsequent query, analysis and responsibility tracing, but also supports multi-dimensional data retrieval and visualization (such as curve charts, bar charts, pie charts), providing comprehensive and traceable data support for distribution box electrical risk warning, which helps to improve the efficiency and accuracy of distribution box operation and maintenance management.

[0062] The above disclosure is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A method for early warning of electrical risks by monitoring noise in a distribution box, characterized in that: The steps include: Noise data collection: Collect noise data inside the distribution box to identify noise conditions inside and outside the box; Noise analysis and identification: Analyze and identify the collected noise data, and compare it with the data in the distribution box noise database to distinguish normal from abnormal noise; Risk level analysis: Analyze the electrical risk level of the distribution box based on noise characteristics and classify it into normal operation, moderate risk, and severe risk; Risk alert release: Issue alerts for moderate and severe risks identified in the analysis and notify relevant personnel through various means; Noise data archiving: Archive the distribution box noise data, including noise time, frequency and amplitude, for subsequent query and analysis.

2. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 1, characterized in that: The specific contents of the step "Noise data collection" are: The noise data inside the distribution box is collected. By setting the initial external noise P0 and internal initial noise Q0 of the distribution box and introducing the time parameter T, the internal and external noise of the distribution box can be identified and collected.

3. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 2, characterized in that: The specific steps of the "Noise Analysis and Identification" step are: Perform preliminary processing on the noise data collected in the distribution box to improve data quality and provide accurate basic data for subsequent analysis and identification; Extract key features such as frequency, amplitude, and duration from preprocessed noise data; Compare the extracted noise features with the data in the distribution box noise database; Based on the comparison results, normal noise and abnormal noise are distinguished. If the collected noise characteristics match the normal noise characteristics in the database, it is determined to be normal noise. If they match the abnormal noise characteristics or no matching normal noise characteristics are found, it is determined to be abnormal noise. For the identified abnormal noise, its specific type is further analyzed.

4. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 3, characterized in that: The "noise analysis and identification" step also includes real-time database updates: during the analysis and identification process, if new abnormal noise characteristics are found or existing noise characteristics change, these new characteristics or changes will be updated to the distribution box noise database in a timely manner to maintain the timeliness and accuracy of the database.

5. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 4, characterized in that: The "Noise Analysis and Identification" step also includes recording and analyzing logs: recording the results of each noise analysis and identification, including the distinction between normal and abnormal noise, the type of abnormal noise, and database updates, to form an analysis log for subsequent auditing and tracing.

6. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 5, characterized in that: The specific contents of the step "Risk Level Analysis" are: Based on the abnormal noise characteristics confirmed in the noise analysis and identification stage, combined with the preset distribution box risk level classification standards, the current electrical risk level of the distribution box is comprehensively evaluated and determined. Normal operation means that there is no abnormal noise generated by the facilities in the distribution box. Moderate risk indicates that the electrical hidden danger is about to fail and needs to be dealt with immediately. Severe risk means that there is an electrical fault in the distribution box and an emergency power outage is required.

7. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 6, characterized in that: The specific contents of the step "Risk Alert Release" are as follows: After completing the risk level analysis, the alarm mechanism is immediately triggered for the moderate risk and severe risk levels obtained through the analysis. Through multiple preset communication methods, the risk level, noise type and specific fault type are promptly and accurately conveyed to the designated alarm target, and a clear prompt is given that immediate treatment measures must be taken to ensure the safe operation of the distribution box.

8. The method for early warning of electrical risks by monitoring noise in a distribution box according to claim 7, characterized in that: The specific contents of the step "Noise data archiving" are: All noise data obtained during the distribution box noise data collection phase, risk level analysis, and related records generated during the risk alarm release phase are systematically organized and stored to form a complete noise data archive, which facilitates subsequent query, analysis, and responsibility tracing, while also supporting data retrieval and display.

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