High and low voltage power distribution cabinet operation monitoring system based on data analysis

Abstract

The invention belongs to the technical field of power distribution cabinet operation supervision, and particularly relates to a high-low voltage power distribution cabinet operation monitoring system based on data analysis, which comprises an electrical element state monitoring module, a moving part lubrication judgment module, a power distribution cabinet ash removal analysis module, a power distribution cabinet inspection early warning module and a remote management and control end, according to the invention, analysis is carried out through the electrical element state monitoring module and the moving part lubrication judgment module so as to determine elements in a non-optimal state and lubrication emergency parts in the high-low voltage power distribution cabinet, and the power distribution cabinet ash removal analysis module analyzes the pollution condition in the high-low voltage power distribution cabinet. When the power distribution cabinet inspection early warning module receives the state non-optimal component, lubrication emergency component or ash removal early warning signal, the remote management and control end gives out early warning, so that comprehensive monitoring and accurate analysis early warning of the high-low voltage power distribution cabinet are realized, and management personnel can inspect the high-low voltage power distribution cabinet in time. And the service life and the operation safety of the high-low voltage power distribution cabinet are obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution cabinet operation supervision, and in particular to a high and low voltage power distribution cabinet operation monitoring system based on data analysis. Background Art

[0002] High and low voltage distribution cabinets are crucial distribution equipment in the power supply system. They are mainly used for the distribution, control, metering and cable connection of electric energy. High and low voltage distribution cabinets can accurately distribute electric energy to different extension cables according to the load of the equipment to meet the needs of various electrical equipment and ensure the stable transmission and efficient use of electric energy.

[0003] At present, the operation of high and low voltage distribution cabinets is mainly monitored through various sensors, but it is difficult to reasonably analyze the component status of each electrical component in the high and low voltage distribution cabinet and the lubrication abnormality of each mechanical moving part and accurately judge the degree of dust pollution inside the high and low voltage distribution cabinet. It is impossible to achieve comprehensive monitoring of the high and low voltage distribution cabinets and accurately analyze and warn, and it is impossible to check the high and low voltage distribution cabinets in time, which is not conducive to ensuring the safe and stable operation of the high and low voltage distribution cabinets;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a high and low voltage distribution cabinet operation monitoring system based on data analysis, which solves the problem that the prior art is difficult to reasonably analyze the component status of each electrical component in the high and low voltage distribution cabinet and the lubrication abnormality of each mechanical moving part and accurately judge the degree of dust pollution inside the high and low voltage distribution cabinet, and cannot timely inspect the high and low voltage distribution cabinet, which is not conducive to ensuring the safe and stable operation of the high and low voltage distribution cabinet.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A high and low voltage distribution cabinet operation monitoring system based on data analysis, including an electrical component status monitoring module, a moving part lubrication judgment module, a distribution cabinet cleaning analysis module, a distribution cabinet inspection early warning module and a remote control terminal;

[0008] The electrical component status monitoring module obtains all electrical components that need to be monitored in the high and low voltage distribution cabinets, monitors and analyzes the component status of the corresponding electrical components, marks the corresponding electrical components as non-optimal components or qualified components through analysis, and sends the marking information of all electrical components to the distribution cabinet inspection and early warning module;

[0009] The moving parts lubrication judgment module obtains the mechanical moving parts that need to be lubricated and monitored in the high and low voltage distribution cabinets, and determines the urgency of lubrication of the corresponding mechanical moving parts through analysis, and accordingly marks the corresponding mechanical moving parts as lubrication emergency parts or stable moving parts, and sends the marking information of all mechanical moving parts to the distribution cabinet inspection and early warning module;

[0010] The distribution cabinet cleaning analysis module analyzes the pollution status inside the high and low voltage distribution cabinets, generates a cleaning warning signal or a cleaning non-emergency signal through analysis, and sends the cleaning warning signal or the cabinet cleaning signal to the distribution cabinet inspection warning module;

[0011] When the inspection warning module of the distribution cabinet receives a warning signal of a non-optimal component, a lubrication emergency component or a cleaning component, it generates an inspection warning signal and sends the inspection warning signal to the remote control end. When the remote control end receives the inspection warning signal, it issues a corresponding warning.

[0012] Furthermore, the specific operation process of the electrical component status monitoring module includes:

[0013] The current position of the corresponding electrical component is collected, and the displacement distance of the current position of the corresponding electrical component compared to its initial position is marked as the component displacement value, and the average temperature of the corresponding electrical component in a unit time is collected, and the ratio of the average temperature of the corresponding electrical component in a unit time to its corresponding preset temperature upper limit threshold is marked as the component temperature value;

[0014] And through surface corrosion detection and analysis to obtain the component corrosion value of the corresponding electrical component, by numerically calculating the component displacement value, component temperature value and component corrosion value to obtain the component state value, the component state value is numerically compared with the corresponding preset component state threshold value, if the component state value exceeds the preset component state threshold value, the corresponding electrical component is marked as a non-optimal component; if the component state value does not exceed the preset component state threshold value, the corresponding electrical component is marked as a qualified component.

[0015] Furthermore, the specific analysis process of surface contamination detection and analysis is as follows:

[0016] A surface image of the corresponding electrical component is collected, and the contaminated corrosion area on the surface of the corresponding electrical component is identified based on the surface image. If a contaminated corrosion area exists, the area of ​​the corresponding contaminated corrosion area is collected and marked as the contamination area inspection value, and the contamination area inspection values ​​of all contaminated corrosion areas in the corresponding electrical component are summed up to obtain the total contamination surface value, and the total contamination surface value is compared with the surface area of ​​the corresponding electrical component to obtain the component contamination value.

[0017] Furthermore, the specific analysis process of the moving parts lubrication judgment module is as follows:

[0018] The average vibration amplitude and average vibration frequency of the corresponding mechanical moving parts in operation per unit time are collected and marked as the motion amplitude value and motion frequency value respectively, and the average noise decibel value generated by the corresponding mechanical moving parts in operation per unit time is collected and marked as the motion noise detection value;

[0019] And through lubricating oil impact analysis to obtain the oil state evaluation value of the corresponding mechanical moving part, by numerically calculating the motion amplitude value, motion frequency value, motion noise detection value and oil state evaluation value to obtain the component lubrication decision value, the component lubrication decision value is numerically compared with the corresponding preset component lubrication decision threshold, if the component lubrication decision value exceeds the corresponding preset component lubrication decision threshold, the corresponding mechanical moving part is marked as a lubrication emergency part; if the component lubrication decision value does not exceed the corresponding preset component lubrication decision threshold, the corresponding mechanical moving part is marked as a stable moving part.

[0020] Furthermore, the specific analysis process of lubricant impact analysis is as follows:

[0021] The time when the lubricant was applied to the corresponding mechanical moving parts is collected and marked as the lubrication application time, the interval between the current time and the lubrication application time is marked as the application interval time, and the operation time of the corresponding mechanical moving parts within the application interval time is marked as the part operation time value;

[0022] The real-time temperature and real-time humidity of the environment in which the mechanical moving parts are located are collected, and the real-time temperature and real-time humidity are numerically compared with the preset temperature threshold and the preset humidity threshold respectively. If the real-time temperature or the real-time humidity exceeds the corresponding preset threshold, it is determined that the mechanical moving parts are in a state of negative influence of lubricating oil;

[0023] The total time that the mechanical moving parts are in a state of negative influence of lubricating oil within the coating interval is obtained and marked as the oil body damage time value. The oil condition assessment value is obtained by numerically calculating the coating interval time, the component operation time value and the oil body damage time value.

[0024] Furthermore, the specific analysis process of the distribution cabinet dust cleaning detection module is as follows:

[0025] The real-time dust concentration of the environment where the high and low voltage distribution cabinets are located is collected, and the real-time dust concentration is compared with the preset real-time dust concentration threshold. If the real-time dust concentration exceeds the preset real-time dust concentration threshold, it is determined that the high and low voltage distribution cabinets are in a dust-surrounded state;

[0026] The time of the last internal dust cleaning of the high and low voltage distribution cabinets is collected and marked as the cleaning interval time, the interval between the current time and the cleaning interval time is marked as the cleaning interval time, and the total time that the high and low voltage distribution cabinets are in a dust-surrounded state within the cleaning interval time is marked as the dust-surrounded total time value;

[0027] And the mean of all real-time dust concentrations within the cleaning interval time is calculated to obtain the surrounding dust detection value, and the distribution cabinet cleaning judgment value is obtained by numerically calculating the cleaning interval time, the total dust surrounding time value and the surrounding dust detection value. The distribution cabinet cleaning judgment value is numerically compared with the preset distribution cabinet cleaning judgment threshold. If the distribution cabinet cleaning judgment value exceeds the preset distribution cabinet cleaning judgment threshold, a cleaning warning signal is generated; if the distribution cabinet cleaning judgment value does not exceed the preset distribution cabinet cleaning judgment threshold, a cabinet cleaning signal is generated.

[0028] Further, the inspection warning module of the power distribution cabinet is connected to the inspection urgency assessment module in communication. If the inspection warning module of the power distribution cabinet does not receive the warning signals of the non-optimal components, the lubrication emergency components and the dust cleaning, an inspection urgency analysis signal is generated and sent to the inspection urgency analysis signal to the inspection urgency assessment module;

[0029] When the inspection urgency assessment module receives the inspection urgency analysis signal, it performs inspection urgency analysis on the high and low voltage distribution cabinets, generates an inspection high emergency signal or an inspection low emergency signal through analysis, and sends the inspection high emergency signal or the inspection low emergency signal to the remote control end. When the remote control end receives the inspection high emergency signal, it issues a corresponding warning.

[0030] Furthermore, the specific analysis process of the urgency assessment module is as follows:

[0031] Obtaining component state values ​​of all electrical components that need to be monitored and component lubrication decision values ​​of all mechanical moving parts, marking the ratio of the component state value of the corresponding electrical component to the corresponding preset component state threshold as a component status value, and marking the ratio of the component lubrication decision value of the corresponding mechanical moving part to the corresponding preset component lubrication decision threshold as a lubrication status value;

[0032] Obtain the dust cleaning judgment value of the power distribution cabinet, calculate the average value of the component status values ​​of all electrical components to obtain the electrical analysis value, calculate the average value of the lubrication status values ​​of all mechanical moving parts to obtain the mechanical analysis value, and obtain the parameter control evaluation value through parameter control traceability analysis;

[0033] The inspection emergency coefficient is obtained by numerically calculating the distribution cabinet cleaning judgment value, electrical analysis value, mechanical analysis value and parameter control evaluation value, and the inspection emergency coefficient is numerically compared with the preset inspection emergency coefficient threshold. If the inspection emergency coefficient exceeds the preset inspection emergency coefficient threshold, a high inspection emergency signal is generated; if the inspection emergency coefficient does not exceed the preset inspection emergency coefficient threshold, a low inspection emergency signal is generated.

[0034] Furthermore, the specific analysis process of parameter control traceability analysis is as follows:

[0035] Trace back from the current moment as the end moment and set the tracing period to P1, obtain the power parameters required to be monitored by the high and low voltage distribution cabinets, and mark the proportion of the time that the real-time detection data of the corresponding power parameters does not meet the corresponding preset data requirements during the tracing period as the parameter control abnormality value;

[0036] A set of preset parameter weight values ​​is set in advance for each power parameter, and the product of the parameter control difference value of the corresponding power parameter and the corresponding preset parameter weight value is marked as the parameter control inspection value. The parameter control inspection values ​​of all power parameters that need to be monitored are summed and calculated to obtain the parameter control evaluation value.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. In the present invention, the electrical component status monitoring module and the moving component lubrication judgment module are used to analyze and determine the non-optimal components and lubrication emergency components in the high and low voltage distribution cabinets. The distribution cabinet cleaning analysis module analyzes the pollution status inside the high and low voltage distribution cabinets to generate a cleaning warning signal or a cleaning non-emergency signal, thereby realizing comprehensive monitoring of the high and low voltage distribution cabinets and accurately analyzing and warning, which is conducive to the management personnel to check the high and low voltage distribution cabinets in time, and significantly improving the service life and operation safety of the high and low voltage distribution cabinets;

[0039] 2. In the present invention, if the inspection and early warning module of the distribution cabinet does not receive the warning signals of non-optimal components, lubrication emergency components and cleaning, the high and low voltage distribution cabinets are subjected to inspection urgency analysis through the inspection urgency assessment module to generate an inspection high emergency signal or an inspection low emergency signal. When the inspection high emergency signal is generated, the remote control end sends a corresponding early warning, and can perform a secondary analysis on whether it is necessary to inspect the high and low voltage distribution cabinets, thereby further ensuring the safe and stable operation of the high and low voltage distribution cabinets, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0041] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0042] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1: Figure 1 As shown, the present invention proposes a high and low voltage distribution cabinet operation monitoring system based on data analysis, including an electrical component status monitoring module, a moving part lubrication judgment module, a distribution cabinet cleaning analysis module, a distribution cabinet inspection and early warning module and a remote control terminal;

[0045] The electrical component status monitoring module obtains all electrical components (such as circuit breakers, relays, contactors, etc.) that need to be monitored in the high and low voltage distribution cabinets, monitors and analyzes the component status of the corresponding electrical components, and marks the corresponding electrical components as non-optimal components or qualified components through analysis;

[0046] And the marking information of all electrical components is sent to the inspection and early warning module of the distribution cabinet to remind the management personnel to check the non-optimal components in the high and low voltage distribution cabinets, and to timely repair or replace the non-optimal components, so as to ensure the safe and stable operation of the high and low voltage distribution cabinets; the specific operation process of the electrical component status monitoring module is as follows:

[0047] The current position of the corresponding electrical component is collected, and the displacement distance of the current position of the corresponding electrical component compared to its initial position is marked as the component displacement value, and the average temperature of the corresponding electrical component in a unit time is collected, and the ratio of the average temperature of the corresponding electrical component in a unit time to its corresponding preset temperature upper limit threshold is marked as the component temperature value;

[0048] And obtaining the component corrosion value of the corresponding electrical component through surface corrosion detection and analysis, specifically: collecting the surface image of the corresponding electrical component, identifying the contaminated corrosion area on the surface of the corresponding electrical component based on the surface image, if there is a contaminated corrosion area, collecting the area of ​​the corresponding contaminated corrosion area and marking it as the corrosion area detection value, and summing up the corrosion area detection values ​​of all contaminated corrosion areas in the corresponding electrical component to obtain the total corrosion value, and calculating the ratio of the total corrosion value to the surface area of ​​the corresponding electrical component to obtain the component corrosion value;

[0049] By formula The component displacement value LN, the component temperature value LY and the component corrosion value LM are numerically calculated to obtain the component state value QM; wherein wq1, wq2 and wq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the component state value QM is, the worse the component state of the corresponding electrical component is in general;

[0050] The component status value is numerically compared with the corresponding preset component status threshold. If the component status value exceeds the preset component status threshold, it indicates that the component status of the corresponding electrical component is generally poor, and the corresponding electrical component is marked as a component with non-optimal status; if the component status value does not exceed the preset component status threshold, it indicates that the component status of the corresponding electrical component is generally good, and the corresponding electrical component is marked as a component with qualified status.

[0051] The moving parts lubrication judgment module obtains the mechanical moving parts (such as bearings, chains, gears, etc.) that need to be lubricated and monitored in the high and low voltage distribution cabinets, and determines the urgency of lubrication of the corresponding mechanical moving parts through analysis, and accordingly marks the corresponding mechanical moving parts as lubrication emergency parts or stable moving parts;

[0052] And the marking information of all mechanical moving parts is sent to the inspection and early warning module of the distribution cabinet to remind the management personnel to clean the surface of the emergency lubrication parts in the high and low voltage distribution cabinets and re-apply lubricating oil, so as to achieve timely lubrication of the components in non-optimal state and ensure the safe and stable operation of the high and low voltage distribution cabinets; the specific analysis process of the moving parts lubrication judgment module is as follows:

[0053] The average vibration amplitude and average vibration frequency of the corresponding mechanical moving parts in operation per unit time are collected and marked as the motion amplitude value and motion frequency value respectively, and the average noise decibel value generated by the corresponding mechanical moving parts in operation per unit time is collected and marked as the motion noise detection value; it should be noted that when the lubrication condition of the mechanical moving parts is not good, the vibration generated by the mechanical moving parts in operation is more severe and the noise is greater;

[0054] And through lubricant impact analysis to obtain the oil evaluation value of the corresponding mechanical moving parts, specifically: collect the time when the lubricant was applied to the corresponding mechanical moving parts and mark it as the lubrication application time, mark the interval between the current time and the lubrication application time as the application interval time, and mark the operation time of the corresponding mechanical moving parts within the application interval time as the part operation time value;

[0055] The real-time temperature and humidity of the environment in which the mechanical moving parts are located are collected. It should be noted that excessive humidity can easily cause the lubricant to deteriorate or fail, while excessive temperature will accelerate the evaporation of the lubricant; the real-time temperature and real-time humidity are numerically compared with the preset temperature threshold and the preset humidity threshold respectively. If the real-time temperature or real-time humidity exceeds the corresponding preset threshold, it is judged that the mechanical moving parts are in a state of negative influence of the lubricant; the total time of the mechanical moving parts in the state of negative influence of the lubricant within the application interval is obtained and marked as the oil body loss time value;

[0056] The oil condition evaluation value YP is obtained by numerically calculating the application interval time YS, the component operation time value YL and the oil body damage time value YN through the formula YP=(q1*YS+q2*YL+q3*YN) / 3; wherein q1, q2 and q3 are preset weight coefficients, q3>q2>q1>0; and the larger the value of the oil condition evaluation value YP is, the worse the current surface lubricating oil condition of the corresponding mechanical moving parts is;

[0057] The motion amplitude value ZR, the motion frequency value ZW, the motion noise detection value ZS and the oil condition evaluation value YP are numerically calculated by the formula RY=(k1*ZR+k2*ZW) / 2+k3*ZS+k4*YP / (k1+k2+k3) to obtain the component lubrication decision value RY; wherein, k1, k2, k3, k4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the component lubrication decision value RY is, the more it is necessary to re-apply lubricant to the corresponding mechanical moving parts in time to ensure their lubrication condition;

[0058] The component lubrication decision value RY is numerically compared with the corresponding preset component lubrication decision threshold. If the component lubrication decision value RY exceeds the corresponding preset component lubrication decision threshold, it indicates that the corresponding mechanical moving component needs to be lubricated in time, and the corresponding mechanical moving component is marked as a lubrication emergency component; if the component lubrication decision value RY does not exceed the corresponding preset component lubrication decision threshold, it indicates that the corresponding mechanical moving component does not need to be lubricated in time, and the corresponding mechanical moving component is marked as a stable moving component.

[0059] The distribution cabinet cleaning analysis module analyzes the pollution status inside the high and low voltage distribution cabinets, generates a cleaning warning signal or a cleaning non-emergency signal through analysis, and sends the cleaning warning signal or the cabinet cleaning signal to the distribution cabinet inspection warning module, so as to remind the management personnel to clean the dust and dirt inside the high and low voltage distribution cabinets in time to avoid adverse effects on its heat dissipation and other performances, and further ensure the safe and stable operation of the high and low voltage distribution cabinets; the specific analysis process of the distribution cabinet cleaning detection module is as follows:

[0060] The real-time dust concentration of the environment where the high and low voltage distribution cabinets are located is collected, and the real-time dust concentration is compared with the preset real-time dust concentration threshold. If the real-time dust concentration exceeds the preset real-time dust concentration threshold, it is determined that the high and low voltage distribution cabinets are in a dust-surrounded state;

[0061] The time of the last internal dust cleaning of the high and low voltage distribution cabinets is collected and marked as the cleaning interval time, the interval between the current time and the cleaning interval time is marked as the cleaning interval time, and the total time that the high and low voltage distribution cabinets are in a dust-surrounded state within the cleaning interval time is marked as the dust-surrounded total time value; and all real-time dust concentrations within the cleaning interval time are averaged to obtain the surrounding dust detection value;

[0062] By formula The cleaning interval time HK, the total dust-surrounding time value HS and the surrounding dust detection value HY are numerically calculated to obtain the distribution cabinet cleaning judgment value YF; wherein, sp1, sp2 and sp3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the distribution cabinet cleaning judgment value YF is, the more serious the internal dust pollution condition of the current high and low voltage distribution cabinets is in general, and the more timely the high and low voltage distribution cabinets need to be cleaned;

[0063] The distribution cabinet cleaning judgment value YF is numerically compared with the preset distribution cabinet cleaning judgment threshold. If the distribution cabinet cleaning judgment value YF exceeds the preset distribution cabinet cleaning judgment threshold, it indicates that the internal cleanliness condition of the current high and low voltage distribution cabinets is generally poor and timely internal cleaning is required, then a cleaning warning signal is generated; if the distribution cabinet cleaning judgment value YF does not exceed the preset distribution cabinet cleaning judgment threshold, it indicates that the internal cleanliness condition of the current high and low voltage distribution cabinets is generally good, then an internal cleaning signal is generated.

[0064] When the inspection and warning module of the distribution cabinet receives a warning signal of a non-optimal component, an urgent lubrication component or a cleaning component, it generates an inspection warning signal and sends the inspection warning signal to the remote control end. When the remote control end receives the inspection warning signal, it issues a corresponding warning, thereby realizing comprehensive monitoring of the high and low voltage distribution cabinets and accurately analyzing and warning. This is conducive to the management personnel to realize timely inspection of the high and low voltage distribution cabinets, and significantly improve the service life and operation safety of the high and low voltage distribution cabinets.

[0065] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the inspection warning module of the distribution cabinet is connected to the inspection urgency assessment module by communication. If the inspection warning module of the distribution cabinet does not receive the warning signal of the non-optimal status component, the lubrication emergency component and the dust cleaning, an inspection urgency analysis signal is generated and sent to the inspection urgency assessment module; when the inspection urgency assessment module receives the inspection urgency analysis signal, it performs inspection urgency analysis on the high and low voltage distribution cabinets, and generates an inspection high emergency signal or an inspection low emergency signal through analysis;

[0066] And the inspection high emergency signal or the inspection low emergency signal is sent to the remote control end. When the remote control end receives the inspection high emergency signal, it issues a corresponding warning, and can conduct a secondary analysis on whether it is necessary to inspect the high and low voltage distribution cabinets, so as to realize the timely inspection of the high and low voltage distribution cabinets, further ensure the safe and stable operation of the high and low voltage distribution cabinets, and have a high degree of intelligence; the specific analysis process of the inspection urgency assessment module is as follows:

[0067] Obtaining component state values ​​of all electrical components that need to be monitored and component lubrication decision values ​​of all mechanical moving parts, marking the ratio of the component state value of the corresponding electrical component to the corresponding preset component state threshold as a component status value, and marking the ratio of the component lubrication decision value of the corresponding mechanical moving part to the corresponding preset component lubrication decision threshold as a lubrication status value;

[0068] Obtain the dust cleaning judgment value of the power distribution cabinet, and calculate the average of the component status values ​​of all electrical components to obtain the electrical analysis value, and calculate the average of the lubrication status values ​​of all mechanical moving parts to obtain the mechanical analysis value;

[0069] The parameter control evaluation value is obtained through parameter control traceability analysis, specifically: trace back from the current moment as the end moment and set the traceability period to P1, preferably, P1 is forty-eight hours; obtain the power parameters (such as voltage, current and other parameters) required to be monitored by the high and low voltage distribution cabinets, and mark the proportion of the time that the real-time detection data of the corresponding power parameters does not meet the corresponding preset data requirements during the traceability period as the parameter control abnormality value; wherein, the larger the value of the parameter control abnormality value, the worse the control status of the corresponding operating parameters of the high and low voltage distribution cabinets during the traceability period;

[0070] A set of preset parameter weight values ​​is set in advance for each power parameter, wherein the values ​​of the preset parameter weight values ​​are all positive numbers, and the greater the safety risk brought by the corresponding power parameter, the greater the value of the preset parameter weight value that matches it; the product of the parameter control difference value of the corresponding power parameter and the corresponding preset parameter weight value is marked as the parameter control inspection value, and the parameter control inspection values ​​of all power parameters that need to be monitored are summed and calculated to obtain the parameter control evaluation value;

[0071] The inspection emergency coefficient FX is obtained by numerically calculating the dust cleaning judgment value YF, the electrical analysis value NP, the mechanical analysis value NY and the parameter control evaluation value CP of the distribution cabinet through the formula FX=(h1*YF+h2*NP+h3*NY+h4*CP) / 4; wherein h1, h2, h3 and h4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the inspection emergency coefficient FX is, the greater the safety hazard of the high and low voltage distribution cabinets is in general, and the more timely the high and low voltage distribution cabinets need to be inspected;

[0072] The inspection emergency coefficient FX is numerically compared with the preset inspection emergency coefficient threshold. If the inspection emergency coefficient FX exceeds the preset inspection emergency coefficient threshold, it indicates that the safety hazards existing in the high and low voltage distribution cabinets are generally large, and the high and low voltage distribution cabinets need to be inspected in time, then a high inspection emergency signal is generated; if the inspection emergency coefficient FX does not exceed the preset inspection emergency coefficient threshold, it indicates that the safety hazards existing in the high and low voltage distribution cabinets are generally small, then a low inspection emergency signal is generated.

[0073] The working principle of the present invention: when in use, all electrical components that need to be monitored in the high and low voltage distribution cabinets are obtained through the electrical component status monitoring module, and the component status of all electrical components is monitored and analyzed to determine the components with non-optimal status and components with qualified status. The moving part lubrication judgment module obtains the mechanical moving parts that need to be lubricated and monitored in the high and low voltage distribution cabinets, and determines the lubrication emergency parts and stable moving parts by analyzing and judging the degree of lubrication urgency of each mechanical moving part. The distribution cabinet cleaning analysis module analyzes the pollution status inside the high and low voltage distribution cabinet to generate a cleaning warning signal or a cleaning non-emergency signal. When the distribution cabinet inspection and warning module receives the non-optimal component status, the lubrication emergency part or the cleaning warning signal, the remote control end issues a warning, thereby realizing comprehensive monitoring of the high and low voltage distribution cabinets and accurately analyzing and warning, which is conducive to the management personnel to inspect the high and low voltage distribution cabinets in time, and significantly improve the service life and operation safety of the high and low voltage distribution cabinets.

[0074] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A high and low voltage distribution cabinet operation monitoring system based on data analysis, characterized in that: It includes electrical component status monitoring module, moving parts lubrication judgment module, distribution cabinet cleaning analysis module, distribution cabinet inspection and early warning module and remote control terminal; The electrical component status monitoring module obtains all electrical components that need to be monitored in the high and low voltage distribution cabinets, monitors and analyzes the component status of the corresponding electrical components, marks the corresponding electrical components as non-optimal components or qualified components through analysis, and sends the marking information of all electrical components to the distribution cabinet inspection and early warning module; The moving parts lubrication judgment module obtains the mechanical moving parts that need to be lubricated and monitored in the high and low voltage distribution cabinets, and determines the urgency of lubrication of the corresponding mechanical moving parts through analysis, and accordingly marks the corresponding mechanical moving parts as lubrication emergency parts or stable moving parts, and sends the marking information of all mechanical moving parts to the distribution cabinet inspection and early warning module; The distribution cabinet cleaning analysis module analyzes the pollution status inside the high and low voltage distribution cabinets, generates a cleaning warning signal or a cleaning non-emergency signal through analysis, and sends the cleaning warning signal or the cabinet cleaning signal to the distribution cabinet inspection warning module; When the inspection warning module of the distribution cabinet receives a warning signal of a non-optimal component, a lubrication emergency component or a cleaning component, it generates an inspection warning signal and sends the inspection warning signal to the remote control end. When the remote control end receives the inspection warning signal, it issues a corresponding warning.

2. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 1 is characterized in that: The specific operation process of the electrical component status monitoring module includes: The current position of the corresponding electrical component is collected, and the displacement distance of the current position of the corresponding electrical component compared to its initial position is marked as the component displacement value, and the average temperature of the corresponding electrical component in a unit time is collected, and the ratio of the average temperature of the corresponding electrical component in a unit time to its corresponding preset temperature upper limit threshold is marked as the component temperature value; And through surface corrosion detection and analysis, the component corrosion value of the corresponding electrical component is obtained, and the component state value is obtained by numerically calculating the component displacement value, component temperature value and component corrosion value. If the component state value exceeds the preset component state threshold, the corresponding electrical component is marked as a non-optimal component; if the component state value does not exceed the preset component state threshold, the corresponding electrical component is marked as a qualified component.

3. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 2 is characterized in that: The specific analysis process of surface contamination detection and analysis is as follows: A surface image of the corresponding electrical component is collected, and the contaminated corrosion area on the surface of the corresponding electrical component is identified based on the surface image. If a contaminated corrosion area exists, the area of ​​the corresponding contaminated corrosion area is collected and marked as the contamination area inspection value, and the contamination area inspection values ​​of all contaminated corrosion areas in the corresponding electrical component are summed up to obtain the total contamination surface value, and the total contamination surface value is compared with the surface area of ​​the corresponding electrical component to obtain the component contamination value.

4. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 1 is characterized in that: The specific analysis process of the moving parts lubrication judgment module is as follows: The average vibration amplitude and average vibration frequency of the corresponding mechanical moving parts in operation per unit time are collected and marked as the motion amplitude value and motion frequency value respectively, and the average noise decibel value generated by the corresponding mechanical moving parts in operation per unit time is collected and marked as the motion noise detection value; and obtaining the oil condition evaluation value of the corresponding mechanical moving parts through lubricating oil impact analysis, and obtaining the component lubrication decision value by numerically calculating the motion amplitude value, motion frequency value, motion noise detection value and oil condition evaluation value; if the component lubrication decision value exceeds the corresponding preset component lubrication decision threshold, the corresponding mechanical moving part is marked as a lubrication emergency part; If the component lubrication decision value does not exceed the corresponding preset component lubrication decision threshold, the corresponding mechanical moving component is marked as a stable moving component.

5. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 4 is characterized in that: The specific analysis process of lubricant impact analysis is as follows: The time when the lubricant was applied to the corresponding mechanical moving parts is collected and marked as the lubrication application time, the interval between the current time and the lubrication application time is marked as the application interval time, and the operation time of the corresponding mechanical moving parts within the application interval time is marked as the part operation time value; The real-time temperature and real-time humidity of the environment in which the mechanical moving parts are located are collected, and the real-time temperature and real-time humidity are numerically compared with the preset temperature threshold and the preset humidity threshold respectively. If the real-time temperature or the real-time humidity exceeds the corresponding preset threshold, it is determined that the mechanical moving parts are in a state of negative influence of lubricating oil; The total time that the mechanical moving parts are in a state of negative influence of lubricating oil within the coating interval is obtained and marked as the oil body damage time value. The oil condition assessment value is obtained by numerically calculating the coating interval time, the component operation time value and the oil body damage time value.

6. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 1 is characterized in that: The specific analysis process of the distribution cabinet dust cleaning detection module is as follows: The real-time dust concentration of the environment where the high and low voltage distribution cabinets are located is collected, and the real-time dust concentration is compared with the preset real-time dust concentration threshold. If the real-time dust concentration exceeds the preset real-time dust concentration threshold, it is determined that the high and low voltage distribution cabinets are in a dust-surrounded state; The time of the last internal dust cleaning of the high and low voltage distribution cabinets is collected and marked as the cleaning interval time, the interval between the current time and the cleaning interval time is marked as the cleaning interval time, and the total time that the high and low voltage distribution cabinets are in a dust-surrounded state within the cleaning interval time is marked as the dust-surrounded total time value; And the mean of all real-time dust concentrations within the cleaning interval time is calculated to obtain the surrounding dust detection value, and the distribution cabinet cleaning judgment value is obtained by numerically calculating the cleaning interval time, the total dust surrounding time and the surrounding dust detection value. If the distribution cabinet cleaning judgment value exceeds the preset distribution cabinet cleaning judgment threshold, a cleaning warning signal is generated; if the distribution cabinet cleaning judgment value does not exceed the preset distribution cabinet cleaning judgment threshold, a cabinet cleaning signal is generated.

7. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 1 is characterized in that: The inspection warning module of the power distribution cabinet is connected to the inspection urgency assessment module in communication. If the inspection warning module of the power distribution cabinet does not receive the warning signals of the non-optimal components, the lubrication emergency components and the dust cleaning, an inspection urgency analysis signal is generated and sent to the inspection urgency assessment module. When the inspection urgency assessment module receives the inspection urgency analysis signal, it performs inspection urgency analysis on the high and low voltage distribution cabinets, generates an inspection high emergency signal or an inspection low emergency signal through analysis, and sends the inspection high emergency signal or the inspection low emergency signal to the remote control end. When the remote control end receives the inspection high emergency signal, it issues a corresponding warning.

8. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 7 is characterized in that: The specific analysis process of the inspection urgency assessment module is as follows: Obtaining component state values ​​of all electrical components that need to be monitored and component lubrication decision values ​​of all mechanical moving parts, marking the ratio of the component state value of the corresponding electrical component to the corresponding preset component state threshold as a component status value, and marking the ratio of the component lubrication decision value of the corresponding mechanical moving part to the corresponding preset component lubrication decision threshold as a lubrication status value; Obtain the dust cleaning judgment value of the power distribution cabinet, calculate the average value of the component status values ​​of all electrical components to obtain the electrical analysis value, calculate the average value of the lubrication status values ​​of all mechanical moving parts to obtain the mechanical analysis value, and obtain the parameter control evaluation value through parameter control traceability analysis; The inspection emergency coefficient is obtained by numerically calculating the dust cleaning judgment value, electrical analysis value, mechanical analysis value and parameter control evaluation value of the distribution cabinet. If the inspection emergency coefficient exceeds the preset inspection emergency coefficient threshold, an inspection high emergency signal is generated; If the inspection urgency coefficient does not exceed the preset inspection urgency coefficient threshold, an inspection low urgency signal is generated.

9. The high and low voltage distribution cabinet operation monitoring system based on data analysis according to claim 8 is characterized in that: The specific analysis process of parameter control traceability analysis is as follows: Trace back from the current moment as the end moment and set the tracing period to P1, obtain the power parameters required to be monitored by the high and low voltage distribution cabinets, and mark the proportion of the time that the real-time detection data of the corresponding power parameters does not meet the corresponding preset data requirements during the tracing period as the parameter control abnormality value; A set of preset parameter weight values ​​is set in advance for each power parameter, and the product of the parameter control difference value of the corresponding power parameter and the corresponding preset parameter weight value is marked as the parameter control inspection value. The parameter control inspection values ​​of all power parameters that need to be monitored are summed and calculated to obtain the parameter control evaluation value.

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