Composite insulator temperature rise monitoring system based on data analysis

Abstract

The invention belongs to the technical field of insulator monitoring, and particularly relates to a composite insulator temperature rise monitoring system based on data analysis, which comprises an insulator monitoring module, a temperature rise abnormity alarm module, an operation hidden danger analysis module and a background supervision terminal, according to the invention, all composite insulators on a corresponding power line are monitored through the insulator monitoring module, the temperature rise abnormity alarm module analyzes and identifies the temperature rise abnormity performance of the corresponding composite insulator, and the operation hidden danger analysis module analyzes the operation hidden danger of the corresponding composite insulator when a temperature rise safety signal is generated. When the operation low-hidden-danger signal is generated, the aging condition of the corresponding composite insulator is evaluated through the insulator aging evaluation module, so that a supervisor can take corresponding treatment measures for the corresponding composite insulator in time, the safety of an electric power circuit is remarkably improved, and the management difficulty of the supervisor is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of insulator monitoring, and in particular to a composite insulator temperature rise monitoring system based on data analysis. Background Art

[0002] Composite insulators are a type of multi-insulation structure composed of continuous layers of different insulating materials, usually consisting of a structural layer, an intermediate insulating layer and a surface insulating layer. They have excellent electrical insulation properties and mechanical strength and are widely used in high-voltage transmission lines and substation equipment, providing a strong guarantee for the safe and stable operation of the power system.

[0003] The temperature of composite insulators needs to be monitored during the operation of power lines. Currently, the operation risk is mainly determined by analyzing the real-time temperature of composite insulators. It is difficult to detect and determine the temperature abnormality point by point. When the temperature is judged to be normal, it is impossible to gradually evaluate the degree of safety hazards and aging status, which is not conducive to ensuring the safe operation of composite insulators and reducing the difficulty of supervision.

[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 composite insulator temperature rise monitoring system based on data analysis, which solves the problem that the prior art is difficult to detect and judge its temperature abnormality point by point, and when it is judged that its temperature performance is normal, it is impossible to gradually and progressively evaluate its safety hazard degree and aging status, which is not conducive to ensuring the safe operation of composite insulators and reducing the difficulty of supervision.

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

[0007] A composite insulator temperature rise monitoring system based on data analysis, comprising an insulator monitoring module, a temperature rise abnormal alarm module, an operation hidden danger analysis module and a background supervision terminal;

[0008] The insulator monitoring module obtains all composite insulators on the corresponding power line, monitors all composite insulators on the corresponding power line, and sends the monitoring information of the corresponding composite insulators to the temperature anomaly alarm module and the operation hidden danger analysis module;

[0009] The temperature rise abnormal alarm module analyzes and identifies the temperature rise abnormality of the corresponding composite insulator, generates a temperature rise alarm signal or a temperature rise safety signal accordingly, and sends the temperature rise alarm signal to the background monitoring end, and sends the temperature rise safety signal to the operation hidden danger analysis module;

[0010] When the operation hazard analysis module receives the temperature rise safety signal, it analyzes the operation hazard of the corresponding composite insulator, generates a high operation hazard signal or a low operation hazard signal based on this, and sends the high operation hazard signal to the background supervision end; the background supervision end issues a corresponding early warning when it receives the temperature rise alarm signal or the high operation hazard signal.

[0011] Furthermore, the specific analysis process of the temperature rise abnormal alarm module is as follows:

[0012] The real-time temperature and temperature rise rate of several monitoring points on the corresponding composite insulator are obtained, and the real-time temperature and temperature rise rate are numerically compared with the preset real-time temperature threshold and the preset temperature rise rate threshold respectively. If the real-time temperature or the temperature rise rate exceeds the corresponding preset threshold, the corresponding monitoring point is marked as a temperature rise alarm point; if there is a temperature rise alarm point on the corresponding composite insulator, a temperature rise alarm signal is generated.

[0013] Furthermore, if there is no temperature rise alarm point on the corresponding composite insulator, the real-time temperatures of all monitoring points are subjected to variance calculation to obtain the temperature distribution anomaly coefficient, and the real-time temperatures and temperature rise rates of the corresponding monitoring points are numerically calculated to obtain the temperature spot check value, and the temperature spot check values ​​of all monitoring points are averaged to obtain the temperature risk assessment coefficient;

[0014] The temperature distribution anomaly coefficient and the temperature risk assessment coefficient are numerically compared with the preset temperature distribution anomaly coefficient threshold and the preset temperature risk assessment coefficient threshold respectively. If the temperature distribution anomaly coefficient or the temperature risk assessment coefficient exceeds the corresponding preset threshold, a temperature rise alarm signal is generated; if neither the temperature distribution anomaly coefficient nor the temperature risk assessment coefficient exceeds the corresponding preset threshold, a temperature rise safety signal is generated.

[0015] Furthermore, the specific analysis process of running the hidden danger analysis module includes:

[0016] The humidity and dust concentration of the environment in which the corresponding composite insulator is located are obtained and marked as humidity loss value and pollution loss value respectively, and the ultraviolet intensity of the environment in which the corresponding composite insulator is located and the amplitude of the vibration of the corresponding composite insulator due to wind factors are collected and marked as ultraviolet loss value and wind vibration loss value respectively, and the discharge erosion value is obtained by surface discharge erosion detection and analysis;

[0017] The insulator hidden danger coefficient is obtained by numerically calculating the humidity loss value, pollution loss value, ultraviolet damage value, wind vibration loss value and discharge erosion value. The insulator hidden danger coefficient is numerically compared with the preset insulator hidden danger coefficient threshold. If the insulator hidden danger coefficient exceeds the preset insulator hidden danger coefficient threshold, it is judged that the corresponding composite insulator is in a vulnerable state; when it is judged that the corresponding composite insulator is in a vulnerable state, a high operating hidden danger signal is generated, otherwise a low operating hidden danger signal is generated.

[0018] Furthermore, the specific analysis process of surface discharge erosion detection and analysis is as follows:

[0019] The corrosive substances that need to be monitored during the discharge process on the surface of the composite insulator are obtained, and the real-time concentration of the corresponding corrosive substances in the environment where the composite insulator is located is collected. A set of preset damage weight values ​​corresponding to each corrosive substance is set in advance, and the real-time concentration of the corresponding corrosive substance is multiplied by the corresponding preset damage weight value to obtain the corrosion impact value; the corrosion impact values ​​of all the corrosive substances that need to be monitored in the environment where the corresponding composite insulator is located are summed and calculated to obtain the discharge corrosion value.

[0020] Furthermore, the operation hidden danger analysis module is communicatively connected to the insulator aging assessment module, and the operation hidden danger analysis module sends the operation low hidden danger signal to the insulator aging assessment module. When the insulator aging assessment module receives the operation low hidden danger signal, it evaluates the aging condition of the corresponding composite insulator, and judges whether to generate an aging warning signal of the corresponding composite insulator accordingly, and sends the aging warning signal of the corresponding composite insulator to the background supervision end, which issues a corresponding warning when receiving the aging warning signal.

[0021] Furthermore, the specific analysis process of the insulator aging assessment module is as follows:

[0022] The production date of the corresponding composite insulator is collected, and the interval between the production date and the current date is marked as the insulator production time value, and the total time that the corresponding composite insulator is in a vulnerable state in the historical stage is collected and marked as the insulator vulnerability value, and the insulator production time value and the insulator vulnerability value are numerically compared with the preset insulator production time threshold and the preset insulator vulnerability threshold, respectively. If the insulator production time value or the insulator vulnerability value exceeds the corresponding preset threshold, an aging warning signal of the corresponding composite insulator is generated;

[0023] If both the insulator production time value and the insulator vulnerability value do not exceed the corresponding preset threshold value, the single duration of the corresponding composite insulator in the vulnerable state is marked as a vulnerable single-holding value, and the vulnerable single-holding value is numerically compared with the preset vulnerable single-holding threshold value. If the vulnerable single-holding value exceeds the preset vulnerable single-holding threshold value, the corresponding vulnerable single-holding value is marked as a vulnerable risk value; the number of vulnerable risk values ​​corresponding to the corresponding composite insulator in the historical stage is obtained and marked as a vulnerable risk table value;

[0024] The insulator aging assessment coefficient is obtained by numerically calculating the insulator production time value, the insulator vulnerability value and the vulnerability insurance table value, and the insulator aging assessment coefficient is numerically compared with the preset insulator aging assessment coefficient threshold. If the insulator aging assessment coefficient exceeds the preset insulator aging assessment coefficient threshold, an aging warning signal of the corresponding composite insulator is generated.

[0025] Furthermore, the background supervision end is communicated with the power line management decision module, which is used to set the detection period, analyze the insulator warning status of the corresponding power line during the detection period, generate a power line strong supervision signal or a power line weak supervision signal through the analysis, and send the power line strong supervision signal or the power line weak supervision signal to the background supervision end.

[0026] Furthermore, the specific analysis process of the power line management decision module is as follows:

[0027] Several monitoring periods are set during the detection period, the total number of warnings issued for all composite insulators on the power line during the corresponding monitoring period is collected and marked as the period alarm value, the period alarm value is numerically compared with the preset period alarm threshold, if the period alarm value exceeds the preset period alarm threshold, the corresponding monitoring period is marked as a line high-risk period; if the period alarm value does not exceed the preset period alarm threshold, the corresponding monitoring period is marked as a line low-risk period;

[0028] The total number of line high-risk periods within the detection period is obtained and marked as a line high-risk detection value, and the line high-risk detection value is numerically compared with a preset line high-risk detection threshold. If the line high-risk detection value exceeds the preset line high-risk detection threshold, a power line strong supervision signal is generated;

[0029] If the line high-risk detection value does not exceed the preset line high-risk detection threshold, the number of line high-risk periods between two adjacent groups of line low-risk periods is marked as the line high-risk duration value, and the line high-risk duration value is numerically compared with the preset line high-risk duration threshold. If the line high-risk duration value exceeds the preset line high-risk duration threshold, the corresponding line high-risk duration value is marked as the line high-risk abnormal value, and the average of all line high-risk duration values ​​in the detection period is calculated to obtain the line high-risk abnormal value;

[0030] The power line measurement value is obtained by numerically calculating the line high-risk detection value, the line high-risk abnormal value and the line high-risk analysis value, and the power line measurement value is numerically compared with the preset power line measurement threshold. If the power line measurement value exceeds the preset power line measurement threshold, a strong power line supervision signal is generated; if the power line measurement value does not exceed the preset power line measurement threshold, a weak power line supervision signal is generated.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the abnormal temperature rise performance of the corresponding composite insulator is analyzed and identified through the abnormal temperature rise alarm module, the operation hidden danger of the corresponding composite insulator is analyzed through the operation hidden danger analysis module when the temperature rise safety signal is generated, and the aging condition of the corresponding composite insulator is evaluated through the insulator aging assessment module when the operation low hidden danger signal is generated, which is conducive to the supervisor to take reasonable disposal measures for the corresponding composite insulator in time, significantly improve the safety of the power line and reduce the management difficulty of the supervisor;

[0033] 2. In the present invention, the insulator warning status of the corresponding power line during the detection period is analyzed by the power line management decision module to generate a strong power line supervision signal or a weak power line supervision signal. When the strong line supervision signal is generated, the subsequent operation supervision of the corresponding power line is strengthened, which is conducive to the reasonable formulation of subsequent supervision plans and further ensures the safe operation of power lines and related composite insulators. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0037] 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.

[0038] Embodiment 1: Figure 1 As shown, a composite insulator temperature rise monitoring system based on data analysis proposed by the present invention includes an insulator monitoring module, a temperature rise abnormality alarm module, an operation hidden danger analysis module, an insulator aging assessment module and a background supervision terminal;

[0039] The insulator monitoring module obtains all composite insulators on the corresponding power line, monitors all composite insulators on the corresponding power line, and sends the monitoring information of the corresponding composite insulators to the temperature anomaly alarm module and the operation hidden danger analysis module, which can not only realize the effective monitoring of the composite insulators, but also provide data support for the analysis process of the temperature anomaly alarm module and the operation hidden danger analysis module;

[0040] The temperature rise abnormal alarm module analyzes and identifies the abnormal temperature rise performance of the corresponding composite insulator, generates a temperature rise alarm signal or a temperature rise safety signal based on this, and sends the temperature rise alarm signal to the background supervision end. When the background supervision end receives the temperature rise alarm signal, it issues a corresponding warning, which can reasonably analyze the temperature status of the composite insulator and issue a risk warning in time, thereby reminding the supervisor to promptly investigate the cause and inspect and repair the corresponding composite insulator, ensuring the operational safety of the composite insulator and prolonging its service life; the specific analysis process of the temperature rise abnormal alarm module is as follows:

[0041] The real-time temperature and temperature rise rate of several monitoring points on the corresponding composite insulator are obtained, and the real-time temperature and temperature rise rate are numerically compared with the preset real-time temperature threshold and the preset temperature rise rate threshold respectively. If the real-time temperature or the temperature rise rate exceeds the corresponding preset threshold, the corresponding monitoring point is marked as a temperature rise alarm point; if there is a temperature rise alarm point on the corresponding composite insulator, it indicates that the temperature condition of the corresponding composite insulator is relatively abnormal, and a temperature rise alarm signal is generated;

[0042] If there is no temperature rise alarm point on the corresponding composite insulator, the real-time temperature WF and the temperature rise rate WY of the corresponding monitoring point are numerically calculated by the formula WS=hy1*WF+hy2*WY to obtain the temperature spot check value WS, wherein hy1 and hy2 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the temperature spot check value WS is, the more abnormal the temperature condition of the corresponding monitoring point is;

[0043] The temperature inspection values ​​of all monitoring points are averaged to obtain the temperature risk assessment coefficient, and the real-time temperatures of all monitoring points are variance calculated to obtain the temperature distribution anomaly coefficient; the temperature distribution anomaly coefficient and the temperature risk assessment coefficient are numerically compared with the preset temperature distribution anomaly coefficient threshold and the preset temperature risk assessment coefficient threshold respectively;

[0044] If the temperature distribution anomaly coefficient or the temperature risk assessment coefficient exceeds the corresponding preset threshold, indicating that the temperature condition on the corresponding composite insulator is relatively abnormal, a temperature rise alarm signal is generated; if neither the temperature distribution anomaly coefficient nor the temperature risk assessment coefficient exceeds the corresponding preset threshold, indicating that the temperature condition on the corresponding composite insulator is relatively normal, a temperature rise safety signal is generated.

[0045] The temperature rise abnormal alarm module sends the temperature rise safety signal to the operation hidden danger analysis module. When the operation hidden danger analysis module receives the temperature rise safety signal, it analyzes the operation hidden danger of the corresponding composite insulator, generates a high operation hidden danger signal or a low operation hidden danger signal accordingly, and sends the high operation hidden danger signal of the corresponding composite insulator to the background supervision end;

[0046] When the background monitoring terminal receives a high-risk operation signal, it will issue a corresponding warning. When it is determined that the temperature of the corresponding composite insulator is in good condition, it can accurately assess the degree of its operating safety hazard and issue a timely warning, thereby reminding the supervisor to promptly investigate the cause and inspect and repair the corresponding composite insulator, further ensuring the operating safety of the composite insulator and extending its service life. The specific analysis process of the operating hazard analysis module is as follows:

[0047] The humidity and dust concentration of the environment in which the corresponding composite insulator is located are obtained and marked as a humidity loss value and a pollution loss value, respectively. The ultraviolet intensity of the environment in which the corresponding composite insulator is located and the vibration amplitude of the corresponding composite insulator due to wind factors are collected and marked as an ultraviolet loss value and a wind vibration loss value, respectively.

[0048] And the discharge erosion value is obtained by detecting and analyzing the surface discharge erosion products, specifically: the erosion products (including nitric acid, ozone, etc.) required to be monitored in the composite insulator surface discharge process are obtained, the real-time concentration of the corresponding erosion products in the environment where the composite insulator is located is collected, and each erosion product is set in advance to correspond to a set of preset damage weight values, wherein the values ​​of the preset damage weight values ​​are all positive numbers, and the greater the potential harm brought by the corresponding erosion product to the composite insulator, the greater the value of the preset damage weight value matched therewith;

[0049] The real-time concentration of the corresponding corrosive material is multiplied by the corresponding preset damage weight value to obtain the erosion impact value, and the erosion impact values ​​of all the corrosive materials that need to be monitored in the environment of the corresponding composite insulator are summed up to obtain the discharge erosion value; it should be noted that the corresponding corrosive materials will cause chemical erosion to the insulator material, resulting in a decrease in material performance;

[0050] The insulator hidden danger coefficient YL is obtained by numerically calculating the humidity loss value XF, the pollution loss value NP, the ultraviolet loss value SY, the wind vibration loss value FZ and the discharge erosion value TN through the formula YL=(uy1*XF+uy2*NP+uy3*SY+uy4*FZ+uy5*TN) / 5; wherein uy1, uy2, uy3, uy4 and uy5 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the insulator hidden danger coefficient YL, the worse the environmental condition of the environment in which the corresponding composite insulator is located, and the more likely it is to cause damage to the corresponding composite insulator;

[0051] The insulator hidden danger coefficient YL is numerically compared with the preset insulator hidden danger coefficient threshold. If the insulator hidden danger coefficient YL exceeds the preset insulator hidden danger coefficient threshold, it indicates that the environmental conditions of the environment in which the corresponding composite insulator is located are poor, and the corresponding composite insulator is judged to be in a vulnerable state. When the corresponding composite insulator is judged to be in a vulnerable state, a high operation hidden danger signal is generated, and when the corresponding composite insulator is judged not to be in a vulnerable state, a low operation hidden danger signal is generated.

[0052] The operation hidden danger analysis module sends the operation low hidden danger signal to the insulator aging assessment module. When the insulator aging assessment module receives the operation low hidden danger signal, it assesses the aging condition of the corresponding composite insulator, and judges whether to generate an aging warning signal of the corresponding composite insulator based on the assessment;

[0053] The aging warning signal of the corresponding composite insulator is sent to the background supervision end. When the background supervision end receives the aging warning signal, it issues a corresponding warning. When it is judged that the safety hazard level of the corresponding composite insulator is low, it can reasonably evaluate its aging state and issue a timely warning, thereby reminding the supervisor to replace the corresponding composite insulator in time, significantly improving the safety of the power line and reducing the management difficulty of the supervisor. The specific analysis process of the insulator aging assessment module is as follows:

[0054] The production date of the corresponding composite insulator is collected, and the interval between the production date and the current date is marked as the insulator production time value, and the total time that the corresponding composite insulator is in a vulnerable state in the historical stage is collected and marked as the insulator vulnerability value, and the insulator production time value and the insulator vulnerability value are numerically compared with the preset insulator production time threshold and the preset insulator vulnerability threshold, respectively. If the insulator production time value or the insulator vulnerability value exceeds the corresponding preset threshold, it indicates that the current quality condition of the corresponding composite insulator is poor and tends to be aged and scrapped, and then an aging warning signal of the corresponding composite insulator is generated;

[0055] If both the insulator production time value and the insulator vulnerability value do not exceed the corresponding preset threshold value, the single duration of the corresponding composite insulator in the vulnerable state is marked as a vulnerable single-holding value, and the vulnerable single-holding value is numerically compared with the preset vulnerable single-holding threshold value. If the vulnerable single-holding value exceeds the preset vulnerable single-holding threshold value, the corresponding vulnerable single-holding value is marked as a vulnerable risk value; the number of vulnerable risk values ​​corresponding to the corresponding composite insulator in the historical stage is obtained and marked as a vulnerable risk table value;

[0056] By formula The insulator production value QS, the insulator vulnerability value QY and the vulnerability insurance table value QW are numerically calculated to obtain the insulator aging assessment coefficient LX; wherein et1, et2 and et3 are preset proportional coefficients, and et3>et2>et1>0; and the larger the value of the insulator aging assessment coefficient LX, the worse the current quality condition of the corresponding composite insulator is in general, and the more it tends to be aged and scrapped;

[0057] The insulator aging assessment coefficient LX is numerically compared with the preset insulator aging assessment coefficient threshold. If the insulator aging assessment coefficient LX exceeds the preset insulator aging assessment coefficient threshold, it indicates that the current quality condition of the corresponding composite insulator is generally poor and tends to be aged and scrapped, then an aging warning signal of the corresponding composite insulator is generated.

[0058] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the background supervision end is connected to the power line management decision module in communication, and the power line management decision module is used to set the detection period. Preferably, the detection period is twenty days;

[0059] The insulator warning status of the corresponding power line during the detection period is analyzed, and a strong supervision signal or a weak supervision signal of the power line is generated through analysis, and the strong supervision signal or the weak supervision signal of the power line is sent to the background supervision end. When the supervisor receives the strong supervision signal of the line, the supervisor strengthens the subsequent operation supervision of the corresponding power line, and can reasonably formulate the subsequent supervision plan to ensure the safe operation of the power line and related composite insulators; the specific analysis process of the power line management decision module is as follows:

[0060] Several monitoring periods are set during the detection period, and the duration of each monitoring period is the same; the total number of warnings issued for all composite insulators on the power line during the corresponding monitoring period is collected and marked as a period alarm value, and the period alarm value is numerically compared with the preset period alarm threshold. If the period alarm value exceeds the preset period alarm threshold, it indicates that the operation risk of the power line during the corresponding monitoring period is relatively large, and the corresponding monitoring period is marked as a line high-risk period; if the period alarm value does not exceed the preset period alarm threshold, it indicates that the operation risk of the power line during the corresponding monitoring period is relatively small, and the corresponding monitoring period is marked as a line low-risk period;

[0061] The total number of high-risk periods of the line during the detection period is obtained and marked as the line high-risk detection value, and the line high-risk detection value is numerically compared with the preset line high-risk detection threshold. If the line high-risk detection value exceeds the preset line high-risk detection threshold, it indicates that the corresponding power line needs to be strengthened in operation supervision in a timely manner, and a power line strong supervision signal is generated;

[0062] If the line high-risk detection value does not exceed the preset line high-risk detection threshold, the number of line high-risk periods between two adjacent groups of line low-risk periods is marked as the line high-risk duration value, and the line high-risk duration value is numerically compared with the preset line high-risk duration threshold. If the line high-risk duration value exceeds the preset line high-risk duration threshold, the corresponding line high-risk duration value is marked as the line high-risk abnormal value, and the average of all line high-risk duration values ​​in the detection period is calculated to obtain the line high-risk abnormal value;

[0063] The line high-risk detection value GY, the line high-risk abnormal value GK and the line high-risk analysis value GM are numerically calculated by the formula GF=rw1*GY+(rw2*GK+rw3*GM) / rw1 to obtain the power line management value GF; wherein rw1, rw2, and rw3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the power line management value GF is, the greater the overall operation risk of the corresponding power line is, and the more it is necessary to strengthen the operation supervision of the corresponding power line in the future;

[0064] The power line management value GF is numerically compared with the preset power line management threshold. If the power line management value GF exceeds the preset power line management threshold, it indicates that the operation supervision of the corresponding power line needs to be strengthened in time, and a power line strong supervision signal is generated; if the power line management value GF does not exceed the preset power line management threshold, it indicates that the operation supervision of the corresponding power line does not need to be strengthened, and a power line weak supervision signal is generated.

[0065] The working principle of the present invention is as follows: all composite insulators on the corresponding power line are monitored by the insulator monitoring module, the temperature rise abnormal alarm module analyzes and identifies the temperature rise abnormal performance of the corresponding composite insulator, can reasonably analyze the temperature condition of the composite insulator and timely issue risk warnings, and when generating a temperature rise safety signal, the operation hidden danger of the corresponding composite insulator is analyzed by the operation hidden danger analysis module, and when it is judged that the temperature condition of the corresponding composite insulator is better, the degree of its operation safety hidden danger can be accurately evaluated and a timely warning can be issued, and when generating a low operation hidden danger signal, the aging condition of the corresponding composite insulator is evaluated by the insulator aging evaluation module, and when it is judged that the degree of safety hidden danger of the corresponding composite insulator is low, its aging state can be reasonably evaluated and a timely warning can be issued, which is conducive to the supervisory personnel to take corresponding treatment measures for the corresponding composite insulator in a timely manner, significantly improving the safety of the power line and reducing the management difficulty of the supervisory personnel, and the degree of intelligence is high.

[0066] 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 composite insulator temperature rise monitoring system based on data analysis, characterized in that: It includes insulator monitoring module, abnormal temperature rise alarm module, operation hidden danger analysis module and background supervision terminal; The insulator monitoring module obtains all composite insulators on the corresponding power line, monitors all composite insulators on the corresponding power line, and sends the monitoring information of the corresponding composite insulators to the temperature rise abnormal alarm module and the operation hidden danger analysis module; The temperature rise abnormal alarm module analyzes and identifies the temperature rise abnormality of the corresponding composite insulator, generates a temperature rise alarm signal or a temperature rise safety signal accordingly, and sends the temperature rise alarm signal to the background monitoring end, and sends the temperature rise safety signal to the operation hidden danger analysis module; When the operation hazard analysis module receives the temperature rise safety signal, it analyzes the operation hazard of the corresponding composite insulator, generates a high operation hazard signal or a low operation hazard signal based on this, and sends the high operation hazard signal to the background supervision end; the background supervision end issues a corresponding early warning when it receives the temperature rise alarm signal or the high operation hazard signal.

2. A composite insulator temperature rise monitoring system based on data analysis according to claim 1, characterized in that: The specific analysis process of the temperature rise abnormal alarm module is as follows: The real-time temperature and temperature rise rate of several monitoring points on the corresponding composite insulator are obtained. If the real-time temperature or temperature rise rate exceeds the corresponding preset threshold, the corresponding monitoring point is marked as a temperature rise alarm point; if a temperature rise alarm point exists on the corresponding composite insulator, a temperature rise alarm signal is generated.

3. A composite insulator temperature rise monitoring system based on data analysis according to claim 2, characterized in that: If there is no temperature rise alarm point on the corresponding composite insulator, the real-time temperature of all monitoring points is calculated for variance to obtain the temperature distribution anomaly coefficient, and the real-time temperature and temperature rise rate of the corresponding monitoring point are numerically calculated to obtain the temperature spot check value, and the temperature spot check values ​​of all monitoring points are averaged to obtain the temperature risk assessment coefficient; If the temperature distribution anomaly coefficient or the temperature risk assessment coefficient exceeds the corresponding preset threshold, a temperature rise alarm signal is generated; If the temperature distribution anomaly coefficient and the temperature risk assessment coefficient do not exceed the corresponding preset threshold value, a temperature rise safety signal is generated.

4. A composite insulator temperature rise monitoring system based on data analysis according to claim 1, characterized in that: The specific analysis process of running the hidden danger analysis module includes: The humidity and dust concentration of the environment in which the corresponding composite insulator is located are obtained and marked as humidity loss value and pollution loss value respectively, and the ultraviolet intensity of the environment in which the corresponding composite insulator is located and the amplitude of the vibration of the corresponding composite insulator due to wind factors are collected and marked as ultraviolet loss value and wind vibration loss value respectively, and the discharge erosion value is obtained by surface discharge erosion detection and analysis; The insulator hidden danger coefficient is obtained by numerically calculating the humidity loss value, pollution loss value, ultraviolet loss value, wind vibration loss value and discharge erosion value. If the insulator hidden danger coefficient exceeds the preset insulator hidden danger coefficient threshold, the corresponding composite insulator is judged to be in a vulnerable state; when the corresponding composite insulator is judged to be in a vulnerable state, a high operating hidden danger signal is generated, otherwise a low operating hidden danger signal is generated.

5. A composite insulator temperature rise monitoring system based on data analysis according to claim 4, characterized in that: The specific analysis process of surface discharge erosion detection and analysis is as follows: The corrosive substances that need to be monitored during the discharge process on the surface of the composite insulator are obtained, and the real-time concentration of the corresponding corrosive substances in the environment where the composite insulator is located is collected. A set of preset damage weight values ​​corresponding to each corrosive substance is set in advance, and the real-time concentration of the corresponding corrosive substance is multiplied by the corresponding preset damage weight value to obtain the corrosion impact value; the corrosion impact values ​​of all the corrosive substances that need to be monitored in the environment where the corresponding composite insulator is located are summed and calculated to obtain the discharge corrosion value.

6. A composite insulator temperature rise monitoring system based on data analysis according to claim 1, characterized in that: The operation hidden danger analysis module is communicatively connected to the insulator aging assessment module. The operation hidden danger analysis module sends the operation low hidden danger signal to the insulator aging assessment module. When the insulator aging assessment module receives the operation low hidden danger signal, it evaluates the aging condition of the corresponding composite insulator, and judges whether to generate an aging warning signal of the corresponding composite insulator based on this, and sends the aging warning signal of the corresponding composite insulator to the background supervision end. When the background supervision end receives the aging warning signal, it issues a corresponding warning.

7. A composite insulator temperature rise monitoring system based on data analysis according to claim 6, characterized in that: The specific analysis process of the insulator aging assessment module is as follows: The production date of the corresponding composite insulator is collected, and the interval between the production date and the current date is marked as the insulator production time value. The total time that the corresponding composite insulator is in a vulnerable state in the historical stage is collected and marked as the insulator vulnerability value. If the insulator production time value or the insulator vulnerability value exceeds the corresponding preset threshold, an aging warning signal of the corresponding composite insulator is generated; If both the insulator production time value and the insulator vulnerability value do not exceed the corresponding preset threshold value, the single duration of the corresponding composite insulator in the vulnerable state is marked as a vulnerable single-holding value, and the vulnerable single-holding value is numerically compared with the preset vulnerable single-holding threshold value. If the vulnerable single-holding value exceeds the preset vulnerable single-holding threshold value, the corresponding vulnerable single-holding value is marked as a vulnerable risk value; the number of vulnerable risk values ​​corresponding to the corresponding composite insulator in the historical stage is obtained and marked as a vulnerable risk table value; The insulator aging assessment coefficient is obtained by numerically calculating the insulator production time value, the insulator vulnerability value and the vulnerability insurance table value. If the insulator aging assessment coefficient exceeds the preset insulator aging assessment coefficient threshold, an aging warning signal of the corresponding composite insulator is generated.

8. A composite insulator temperature rise monitoring system based on data analysis according to claim 6, characterized in that: The background supervision end is communicated with the power line management decision module, which is used to set the detection period, analyze the insulator warning status of the corresponding power line during the detection period, generate a power line strong supervision signal or a power line weak supervision signal through analysis, and send the power line strong supervision signal or the power line weak supervision signal to the background supervision end.

9. A composite insulator temperature rise monitoring system based on data analysis according to claim 8, characterized in that: The specific analysis process of the power line management decision module is as follows: Several monitoring periods are set during the detection period, the total number of warnings issued for all composite insulators on the power line during the corresponding monitoring period is collected and marked as a period alarm value, the period alarm value is numerically compared with a preset period alarm threshold, and if the period alarm value exceeds the preset period alarm threshold, the corresponding monitoring period is marked as a high-risk period for the line; If the period alarm value does not exceed the preset period alarm threshold, the corresponding monitoring period is marked as a line low-risk period; The total number of line high-risk periods within the detection period is obtained and marked as a line high-risk detection value, and the line high-risk detection value is numerically compared with a preset line high-risk detection threshold. If the line high-risk detection value exceeds the preset line high-risk detection threshold, a power line strong supervision signal is generated; If the line high-risk detection value does not exceed the preset line high-risk detection threshold, the number of line high-risk periods between two adjacent groups of line low-risk periods is marked as the line high-risk duration value; if the line high-risk duration value exceeds the preset line high-risk duration threshold, the corresponding line high-risk duration value is marked as the line high-risk abnormal value, and the average of all line high-risk duration values ​​in the detection period is calculated to obtain the line high-risk abnormal value; The power line monitoring value is obtained by numerically calculating the line high-risk detection value, the line high-risk abnormal value and the line high-risk analysis value. If the power line monitoring value exceeds the preset power line monitoring threshold, a power line strong supervision signal is generated; If the power line monitoring value does not exceed the preset power line monitoring threshold, a power line weak supervision signal is generated.

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