Abnormality monitoring system for high-temperature-resistant gold-copper alloy cable based on big data analysis

Abstract

The invention relates to the technical field of power monitoring, and discloses a high-temperature-resistant gold-copper alloy cable abnormity monitoring system based on big data analysis, which comprises a data monitoring module, a monitoring analysis module, a monitoring evaluation module and an early warning feedback module, the data monitoring module is composed of an operation condition monitoring unit, a working state monitoring unit and an environment monitoring unit, performs data monitoring integration on an operation data set, a state data set and an environment data set, and then comprehensively analyzes and calculates an operation abnormal index, a state abnormal index, an environment interference index and a comprehensive abnormal value. And finally, comprehensive evaluation is carried out according to the comprehensive abnormal index, so that the abnormal condition of the cable is analyzed in a multi-dimensional manner, potential problems can be identified more accurately, early warning is realized, sudden faults and increase of maintenance cost are avoided, data consistency is maintained, data reliability is improved, misjudgment is avoided, errors are reduced, and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of power monitoring, and particularly to an abnormal monitoring system for high-temperature resistant gold-copper alloy cables based on big data analysis. Background Art

[0002] In fields such as power, machinery, electronics, transportation, and energy, cables, as important transmission media, their performance directly affects the stability and safety of the entire system. With the progress of technology and the improvement of industrial requirements, traditional cable materials have become difficult to meet the usage requirements in some special environments (such as high temperature, corrosion, etc.). Therefore, the research and development of cable materials with higher performance has become an important topic in the industry. Among them, high-temperature resistant gold-copper alloy cables have received extensive attention and applications due to their excellent electrical conductivity, high-temperature resistance, corrosion resistance, etc.

[0003] A high-temperature resistant gold-copper alloy cable is a cable made of gold-copper alloy as the conductor material and processed through a special manufacturing process. This cable not only has the function of transmitting electrical energy like traditional cables, but also can maintain stable performance in high-temperature environments. The gold-copper alloy cable inherits the high electrical conductivity of gold, making it have lower resistance and energy loss when transmitting electrical energy. This is of great significance for improving power transmission efficiency and reducing energy consumption. By adding specific alloy elements (such as chromium, cobalt, etc.), the gold-copper alloy cable can maintain stable performance in high-temperature environments and is not easily softened or deformed. This enables it to still maintain good transmission performance in high-temperature working environments. The gold-copper alloy cable has good corrosion resistance and can resist the erosion of various chemical substances, extending its service life.

[0004] In practical applications, cables may have abnormalities for various reasons, such as overheating, aging, damage, etc. If these abnormalities are not dealt with in a timely manner, they may lead to cable failures or even accidents. Existing cable abnormal monitoring systems do not comprehensively analyze cable abnormalities in multiple dimensions, resulting in error misjudgments, leading to an increase in sudden failures and maintenance costs. Summary of the Invention

[0005] (1) Technical Problems to be Solved

[0006] Aiming at the deficiencies of the prior art, the present invention provides an abnormal monitoring system for high-temperature resistant gold-copper alloy cables based on big data analysis, which has the advantages of comprehensively monitoring cable abnormalities by combining various factors, keeping the monitoring time points, time intervals, and data quantities of the data consistent, maintaining the consistency of the data, improving the reliability of the data, avoiding misjudgments, reducing errors, being able to more accurately identify potential problems through multi-dimensional analysis methods, realizing early warning, and thus avoiding the increase of sudden failures and maintenance costs.

[0007] (2) Technical Solutions

[0008] To achieve the above object, the present invention provides the following technical solution: A high-temperature resistant gold-copper alloy cable abnormal monitoring system based on big data analysis, including a data monitoring module, a monitoring and analysis module, a monitoring and evaluation module, and an early warning and feedback module;

[0009] The data monitoring module is composed of an operation condition monitoring unit, a working state monitoring unit, and an environment monitoring unit;

[0010] The operation condition monitoring unit is used to monitor the operation condition of the cable and integrate the operation condition data at multiple time points into an operation data set;

[0011] The working state monitoring unit is used to monitor the working state of the cable and integrate the working state data at multiple time points into a state data set;

[0012] The environment monitoring unit is used to monitor the environment during the operation of the cable and integrate the environment data at multiple time points into an environment data set;

[0013] The data monitoring module sends the integrated operation data set, state data set, and environment data set to the monitoring and analysis module. The monitoring and analysis module analyzes and calculates the operation abnormal index, state abnormal index, and environment interference index according to the received data sets. The monitoring and analysis module calculates the comprehensive abnormal value based on the calculation results of the operation abnormal index, state abnormal index, and environment interference index, and the monitoring and analysis module sends the calculation results to the monitoring and evaluation module;

[0014] The monitoring and evaluation module evaluates the abnormal situation according to the comprehensive abnormal value, and sends a cable abnormal signal to the early warning and feedback module when an abnormality is detected in the evaluation;

[0015] The early warning and feedback module gives an early warning and feedback according to the received signal.

[0016] Preferably, the cable operation conditions include the magnitude data of the cable sheath circulating current, the induced voltage data of the cable, and the partial discharge signal amplitude. The expression mode of the operation data set is: HLdx, GYdy, FDfz. In the expression mode, HLdx represents the magnitude data of the cable sheath circulating current, GYdy represents the induced voltage data of the cable, and FDfz represents the partial discharge signal amplitude. The time points, time intervals, and data quantities of the magnitude data of the cable sheath circulating current, the induced voltage data of the cable, and the partial discharge signal amplitude monitoring are the same.

[0017] Preferably, the operating state of the cable includes current parameters, voltage parameters, insulation resistance value, and cable temperature parameters. The expression of the state data set is: DLcs, DYcs, JYdz, DLwd. In the expression, DLcs represents the current parameter, DYcs represents the voltage parameter, JYdz represents the insulation resistance value, and DLwd represents the cable temperature parameter. The monitoring time points, time intervals, and data quantities of the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter are the same.

[0018] Preferably, the environment during the operation of the cable includes environmental temperature data, harmful gas concentration, and humidity data. The expression of the environmental data set is: HJwd, YHqn, SDsj. In the expression, HJwd represents the environmental temperature data, YHqn represents the harmful gas concentration, and SDsj represents the humidity data. The monitoring time points, time intervals, and data quantities of the environmental temperature data, harmful gas concentration, and humidity data are the same.

[0019] Preferably, the calculation formula for the operation anomaly index is:

[0020]

[0021] In the above calculation formula, YXyc represents the operation anomaly index, and HLdx i represents the magnitude data of the cable sheath circulating current for the i-th monitoring, and HLdx p represents the average value of the magnitude data of the historical cable sheath circulating current, and GYdy i represents the induced voltage data of the cable for the i-th monitoring, and GYdy p represents the average value of the historical induced voltage data of the cable, and FDfz i represents the magnitude of the partial discharge signal for the i-th monitoring, and FDfz p represents the average value of the historical partial discharge signal magnitudes. N represents the number of data monitored, and S represents the time interval of the monitored data;

[0022] represents the magnitude data of the cable sheath circulating current for the i-th monitoring HLdx i and the absolute difference between the average value of the magnitude data of the historical cable sheath circulating current HLdx p for the change value of the magnitude data of the historical cable sheath circulating current, which is used to reflect the influence of the magnitude data of the cable sheath circulating current on the operation anomaly index;

[0023] represents the induced voltage data of the cable for the i-th monitoring GYdy i and the average value of the historical induced voltage data of the cable GYdy pThe change value of the absolute difference with respect to the average value of the induced voltage data of the historical cable is used to reflect the influence of the induced voltage data of the cable on the operation anomaly index;

[0024] Represents the amplitude FDfz of the partial discharge signal monitored for the i-th time i And the average value FDfz of the historical partial discharge signal amplitudes p The change value of the absolute difference with respect to the average value of the historical partial discharge signal amplitudes is used to reflect the influence of the partial discharge signal amplitude on the operation anomaly index.

[0025] Preferably, the calculation formula for the state anomaly index is:

[0026]

[0027] In the above calculation formula, ZTyc represents the state anomaly index, and DLcs i , DYcs i , JYdz i , DLwd i respectively represent the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter of the i-th monitoring in the state dataset. DLcs p , DYcs p , JYdz p , DLwd p respectively represent the average values of the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter in the state dataset. DLcs b , DYcs b , JYdz b , DLwd b respectively represent the standard deviations of the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter in the state dataset. N represents the number of monitors for each data;

[0028] Represents the change value between the difference between the current parameter monitored for the i-th time and the average value of the current parameter and the standard deviation of the current parameter, and is used to reflect the influence of the current parameter on the state anomaly index;

[0029] Represents the change value between the difference between the voltage parameter monitored for the i-th time and the average value of the voltage parameter and the standard deviation of the voltage parameter, and is used to reflect the influence of the voltage parameter on the state anomaly index;

[0030] Represents the change value between the difference between the insulation resistance value parameter monitored for the i-th time and the average value of the insulation resistance value parameter and the standard deviation of the insulation resistance value parameter, and is used to reflect the influence of the insulation resistance value parameter on the state anomaly index;

[0031] It represents the change value between the difference between the cable temperature parameter of the i-th monitoring and the average value of the cable temperature parameters and the standard deviation of the cable temperature parameters, and is used to reflect the influence of the cable temperature parameters on the state anomaly index.

[0032] Preferably, the calculation formula of the environmental interference index is:

[0033]

[0034] In the above calculation formula, HJgr represents the environmental interference index, and HJwd i , YHqn i , SDsj i respectively represent the environmental temperature data, harmful gas concentration, and humidity data of the i-th monitoring in the environmental dataset. HJwd p , YHqn p , SDsj p respectively represent the average values of the environmental temperature data, harmful gas concentration, and humidity data in the environmental dataset. HJwd b , YHqn b , SDsj b respectively represent the standard deviations of the environmental temperature data, harmful gas concentration, and humidity data in the environmental dataset. N represents the number of monitors for each data;

[0035] represents the change value between the environmental temperature data of the i-th monitoring and the average value of the environmental temperature data and the standard deviation of the environmental temperature data, and is used to reflect the influence of the environmental temperature data on the environmental interference index;

[0036] represents the change value between the harmful gas concentration data of the i-th monitoring and the average value of the harmful gas concentration data and the standard deviation of the harmful gas concentration data, and is used to reflect the influence of the harmful gas concentration on the environmental interference index;

[0037] represents the change value between the humidity data of the i-th monitoring and the average value of the humidity data and the standard deviation of the humidity data, and is used to reflect the influence of the humidity data on the environmental interference index.

[0038] Preferably, the calculation formula of the comprehensive anomaly value is:

[0039]

[0040] In the above calculation formula, ZHyc represents the comprehensive anomaly value, and YXyc b represents the standard value of the operation anomaly index, and ZTyc b represents the standard value of the state anomaly index, and Hjgr bIt represents the standard value of the environmental interference index, and α, β, and γ respectively represent the weight factors of the operation anomaly index, the status anomaly index, and the environmental interference index.

[0041] Preferably, when the comprehensive anomaly value is greater than the standard value of the comprehensive anomaly value, it represents that there is an anomaly in the current cable, and a cable anomaly signal is sent to the early warning feedback module.

[0042] Preferably, when the early warning feedback module receives the cable anomaly signal, it sends the cable anomaly signal to relevant personnel for maintenance.

[0043] Compared with the prior art, the present invention provides a high-temperature resistant gold-copper alloy cable anomaly monitoring system based on big data analysis, which has the following beneficial effects:

[0044] 1. The present invention monitors the anomalies of high-temperature resistant gold-copper alloy cables by combining various factors such as the cable operation condition, the cable working state, and the environment during the cable operation, comprehensively analyzes the comprehensive situation of the high-temperature resistant gold-copper alloy cables, can significantly improve the safety and reliability of the cable system, timely discover potential problems, prevent faults from occurring, thereby avoiding accidental power outages and equipment damage. At the same time, by comprehensively evaluating various factors, the reliability of the data is improved, the monitoring time points, time intervals, and data quantities of the data are kept consistent, the consistency of the data is maintained, misjudgment is avoided, and errors are reduced.

[0045] 2. The present invention combines the operation anomaly index, the status anomaly index, and the environmental interference index to calculate the comprehensive anomaly value. This multi-dimensional analysis method can more accurately identify potential problems, achieve early warning, thereby avoiding sudden failures and increasing maintenance costs. In addition, the comprehensive anomaly value provides a quantitative basis for maintenance decisions, helps to optimize the maintenance plan, and improves the reliability and stability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic structural diagram of the present invention; DETAILED DESCRIPTION OF THE INVENTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0048] Please refer to Figure 1 , a high-temperature resistant gold-copper alloy cable anomaly monitoring system based on big data analysis, including a data monitoring module, a monitoring analysis module, a monitoring evaluation module, and an early warning feedback module;

[0049] The data monitoring module consists of an operation condition monitoring unit, a working state monitoring unit, and an environment monitoring unit;

[0050] The operation condition monitoring unit is used to monitor the operation condition of the cable and integrate the operation condition data at multiple time points into an operation data set;

[0051] The operation condition of the cable includes the magnitude data of the cable sheath circulating current, the induced voltage data of the cable, and the partial discharge signal amplitude. The expression form of the operation data set is: HLdx, GYdy, FDfz. In the expression form, HLdx represents the magnitude data of the cable sheath circulating current, GYdy represents the induced voltage data of the cable, and FDfz represents the partial discharge signal amplitude. The time points, time intervals, and data quantities for monitoring the magnitude data of the cable sheath circulating current, the induced voltage data of the cable, and the partial discharge signal amplitude are the same;

[0052] The working state monitoring unit is used to monitor the working state of the cable and integrate the working state data at multiple time points into a state data set;

[0053] The working state of the cable includes current parameters, voltage parameters, insulation resistance value, and cable temperature parameters. The expression form of the state data set is: DLcs, DYcs, JYdz, DLwd. In the expression form, DLcs represents the current parameters, DYcs represents the voltage parameters, JYdz represents the insulation resistance value, and DLwd represents the cable temperature parameters. The time points, time intervals, and data quantities for monitoring the current parameters, voltage parameters, insulation resistance value, and cable temperature parameters are the same;

[0054] The environment monitoring unit is used to monitor the environment during the operation of the cable and integrate the environment data at multiple time points into an environment data set;

[0055] The environment during the operation of the cable includes environment temperature data, harmful gas concentration, and humidity data. The expression form of the environment data set is: HJwd, YHqn, SDsj. In the expression form, HJwd represents the environment temperature data, YHqn represents the harmful gas concentration, and SDsj represents the humidity data. The time points, time intervals, and data quantities for monitoring the environment temperature data, harmful gas concentration, and humidity data are the same;

[0056] By combining various factors such as the operating conditions of the cable, the working state of the cable, and the environment during the operation of the cable, abnormal monitoring of the high-temperature resistant gold-copper alloy cable is carried out, and the comprehensive situation of the high-temperature resistant gold-copper alloy cable is comprehensively analyzed, which can significantly improve the safety and reliability of the cable system, timely discover potential problems, prevent failures from occurring, thereby avoiding unexpected power outages and equipment damage. At the same time, by comprehensively judging various factors, the reliability of the system is improved, the monitoring time points, time intervals, and data quantities of the data are kept consistent, maintaining the consistency of the data, avoiding misjudgment, and reducing errors;

[0057] The data monitoring module sends the integrated operating data set, status data set, and environment data set to the monitoring and analysis module, and the monitoring and analysis module analyzes and calculates the operation anomaly index, status anomaly index, and environment interference index according to the received data set;

[0058] The calculation formula for the operation anomaly index is:

[0059]

[0060] In the above calculation formula, YXyc represents the operation anomaly index, HLdx i represents the magnitude data of the cable sheath circulating current at the i-th monitoring, HLdx p represents the average value of the magnitude data of the historical cable sheath circulating current, GYdy i represents the induced voltage data of the cable at the i-th monitoring, GYdy p represents the average value of the historical induced voltage data of the cable, FDfz i represents the magnitude of the partial discharge signal at the i-th monitoring, FDfz p represents the average value of the historical partial discharge signal magnitudes, N represents the number of data monitored, and S represents the time interval of the monitored data;

[0061] represents the magnitude data of the cable sheath circulating current HLdx at the i-th monitoring i and the average value HLdx of the magnitude data of the historical cable sheath circulating current p The absolute difference of is the change value of the magnitude data of the historical cable sheath circulating current, which is used to reflect the influence of the magnitude data of the cable sheath circulating current on the operation anomaly index;

[0062] represents the induced voltage data GYdy of the cable at the i-th monitoring i and the average value GYdy of the historical induced voltage data of the cable p The absolute difference of is the change value of the average value of the historical induced voltage data of the cable, which is used to reflect the influence of the induced voltage data of the cable on the operation anomaly index;

[0063] Represents the amplitude FDfz of the partial discharge signal monitored at the i-th time i And the average value FDfz of the amplitudes of historical partial discharge signals p The change value of the absolute difference between the average value of the amplitudes of historical partial discharge signals is used to reflect the influence of the amplitude of the partial discharge signal on the operation anomaly index;

[0064] Analyze the operation anomaly index by combining the magnitude data of the cable sheath circulating current, the induced voltage data of the cable, and the amplitude of the partial discharge signal. The magnitude of the sheath circulating current can reflect the insulation performance of the cable. An abnormal circulating current may indicate defects or aging in the insulation layer. The induced voltage data provides information on the behavior of the cable in the electromagnetic field. By these factors, the operation state of the cable can be judged more accurately, its life and maintenance requirements can be predicted, and preventive measures can be taken to avoid sudden failures and ensure the stable operation of the power system;

[0065] The calculation formula for the state anomaly index is:

[0066]

[0067] In the above calculation formula, ZTyc represents the state anomaly index, DLcs i , DYcs i , JYdz i , DLwd i Respectively represent the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter of the i-th monitoring in the state dataset. DLcs p , DYcs p , JYdz p , DLwd p Respectively represent the average values of the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter in the state dataset. DLcs b , DYcs b , JYdz b , DLwd b Respectively represent the standard deviations of the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter in the state dataset. N represents the number of monitors for each data;

[0068] Represents the change value between the difference between the current parameter monitored at the i-th time and the average value of the current parameter and the standard deviation of the current parameter, and is used to reflect the influence of the current parameter on the state anomaly index;

[0069] Represents the change value between the difference between the voltage parameter monitored at the i-th time and the average value of the voltage parameter and the standard deviation of the voltage parameter, and is used to reflect the influence of the voltage parameter on the state anomaly index;

[0070] It represents the change value between the difference between the insulation resistance value parameter of the i-th monitoring and the average value of the insulation resistance value parameter and the standard deviation of the insulation resistance value parameter, and is used to reflect the influence of the insulation resistance value parameter on the state anomaly index;

[0071] It represents the change value between the difference between the cable temperature parameter of the i-th monitoring and the average value of the cable temperature parameter and the standard deviation of the cable temperature parameter, and is used to reflect the influence of the cable temperature parameter on the state anomaly index;

[0072] By comprehensively analyzing the cable working state anomaly index through current parameters, voltage parameters, insulation resistance values, and cable temperature parameters, the working state of the cable can be comprehensively evaluated. By monitoring these parameters, potential faults and anomalies can be discovered preventively, reducing the risk of unexpected power outages and equipment damage;

[0073] The calculation formula for the environmental interference index is:

[0074]

[0075] In the above calculation formula, HJgr represents the environmental interference index, and HJwd i , YHqn i , SDsj i respectively represent the environmental temperature data, harmful gas concentration, and humidity data of the i-th monitoring in the environmental dataset. HJwd p , YHqn p , SDsj p respectively represent the average values of the environmental temperature data, harmful gas concentration, and humidity data in the environmental dataset. HJwd b , YHqn b , SDsj b respectively represent the standard deviations of the environmental temperature data, harmful gas concentration, and humidity data in the environmental dataset. N represents the number of monitors for each data;

[0076] It represents the change value between the difference between the environmental temperature data of the i-th monitoring and the average value of the environmental temperature data and the standard deviation of the environmental temperature data, and is used to reflect the influence of the environmental temperature data on the environmental interference index;

[0077] It represents the change value between the difference between the harmful gas concentration data of the i-th monitoring and the average value of the harmful gas concentration data and the standard deviation of the harmful gas concentration data, and is used to reflect the influence of the harmful gas concentration on the environmental interference index;

[0078] It represents the change value between the difference between the humidity data of the i-th monitoring and the average value of the humidity data and the standard deviation of the humidity data, and is used to reflect the influence of the humidity data on the environmental interference index;

[0079] By monitoring the environmental temperature, humidity, and concentration of harmful gases of the cable, the operating status of the cable can be evaluated more accurately, the occurrence of cable faults can be predicted in a timely manner, potential fault risks can be discovered, and thus preventive measures can be taken to avoid the occurrence of accidents, effectively improving the accuracy of cable monitoring, enhancing safety, and improving the fault warning ability;

[0080] The monitoring and analysis module calculates the comprehensive anomaly value by combining the calculation results of the operation anomaly index, the status anomaly index, and the environmental interference index;

[0081] The calculation formula for the comprehensive anomaly value is:

[0082]

[0083] In the above calculation formula, ZHyc represents the comprehensive anomaly value, and YXyc b represents the standard value of the operation anomaly index, and ZTyc b represents the standard value of the status anomaly index, and HJgr b represents the standard value of the environmental interference index, and α, β, and γ respectively represent the weight factors of the operation anomaly index, the status anomaly index, and the environmental interference index;

[0084] Combining the operation anomaly index, the status anomaly index, and the environmental interference index to calculate the comprehensive anomaly value, this multi-dimensional analysis method can more accurately identify potential problems, achieve early warning, and thus avoid the increase of sudden faults and maintenance costs. In addition, the comprehensive anomaly value provides a quantitative basis for maintenance decisions, helps to optimize the maintenance plan, and improves the reliability and stability of the power system;

[0085] The monitoring and analysis module sends the calculation result to the monitoring and evaluation module;

[0086] The monitoring and evaluation module evaluates the abnormal situation based on the comprehensive anomaly value. When the comprehensive anomaly value is greater than the standard value of the comprehensive anomaly value, it means that the current cable is abnormal, and a cable anomaly signal is sent to the warning feedback module;

[0087] When the warning feedback module receives the cable anomaly signal, it sends the cable anomaly signal to relevant personnel for repair.

[0088] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. High temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis, characterized by: It includes data monitoring module, monitoring analysis module, monitoring evaluation module and early warning feedback module; The data monitoring module is composed of an operation status monitoring unit, a working state monitoring unit and an environment monitoring unit; The operation status monitoring unit is used to monitor the operation status of the cable and integrate the operation status data at multiple time points into an operation data set; The working status monitoring unit is used to monitor the working status of the cable and integrate the working status data at multiple time points into a status data set; The environmental monitoring unit is used to monitor the environment during the operation of the cable and integrate environmental data at multiple time points into an environmental data set; The data monitoring module sends the integrated operation data set, state data set, and environmental data set to the monitoring and analysis module, and the monitoring and analysis module analyzes and calculates the operation abnormality index, the state abnormality index, and the environmental interference index according to the received data set. The monitoring and analysis module calculates the comprehensive abnormality value based on the calculation results of the operation abnormality index, the state abnormality index, and the environmental interference index, and the monitoring and analysis module sends the calculation results to the monitoring and evaluation module; The monitoring and evaluation module evaluates the abnormal situation according to the comprehensive abnormal value, and sends a cable abnormality signal to the early warning feedback module when an abnormality is found in the evaluation; The early warning feedback module performs early warning feedback according to the received signal.

2. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 1 is characterized in that: The cable operation status includes the size data of the cable sheath circulating current, the induced voltage data of the cable, and the amplitude of the partial discharge signal. The expression of the operation data set is: HLdx, GYdy, FDfz, in which HLdx represents the size data of the cable sheath circulating current, GYdy represents the induced voltage data of the cable, and FDfz represents the amplitude of the partial discharge signal. The time point, time interval, and data quantity of the monitoring of the size data of the cable sheath circulating current, the induced voltage data of the cable, and the amplitude of the partial discharge signal are consistent.

3. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 2 is characterized in that: The cable working status includes current parameters, voltage parameters, insulation resistance values, and cable temperature parameters. The expression of the status data set is: DLcs, DYcs, JYdz, DLwd, in which DLcs represents current parameters, DYcs represents voltage parameters, JYdz represents insulation resistance values, and DLwd represents cable temperature parameters. The time points, time intervals, and data quantities of the current parameters, voltage parameters, insulation resistance values, and cable temperature parameters are consistent.

4. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 3 is characterized in that: The environment during the operation of the cable includes ambient temperature data, harmful gas concentration, and humidity data. The expression of the environmental data set is: HJwd, YHqn, SDsj, in which HJwd represents ambient temperature data, YHqn represents harmful gas concentration, and SDsj represents humidity data. The time point, time interval, and data quantity of the monitoring of the ambient temperature data, harmful gas concentration, and humidity data are consistent.

5. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 4 is characterized in that: The calculation formula of the operation abnormality index is: In the above calculation formula, YXyc represents the abnormal operation index, HLdx i Represents the size data of the cable sheath circulating current monitored for the i-th time, HLdx p Represents the average value of the size data of the historical cable sheath circulation, GYdy i Represents the induced voltage data of the i-th monitoring cable, GYdy p Represents the average value of the historical cable induced voltage data, FDfz i represents the amplitude of the partial discharge signal monitored for the i-th time, FDfz p represents the average value of the historical partial discharge signal amplitude, N represents the number of monitored data, and S represents the time interval of the monitored data; Represents the size data of the cable sheath circulating current monitored for the i-th time HLdx i Average value HLdx with historical cable sheath circulation data p The absolute difference of the change value of the historical cable sheath circulation data is used to reflect the influence of the cable sheath circulation data on the operation abnormality index; Represents the induced voltage data GYdy of the i-th monitoring cable i The average value of the induced voltage data of the historical cable GYdy p The absolute difference of the average value of the historical cable induced voltage data is used to reflect the impact of the cable induced voltage data on the operation abnormality index; Represents the amplitude of the partial discharge signal monitored for the i-th time FDfz i The average value of the historical partial discharge signal amplitude FDfz p The change value of the absolute difference to the average value of the historical partial discharge signal amplitude is used to reflect the impact of the partial discharge signal amplitude on the operation abnormality index.

6. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 5 is characterized in that: The calculation formula of the abnormal state index is: In the above calculation formula, ZTyc represents the abnormal state index, DLcs i 、DYcs i ,JTdz i 、DLwd i They represent the current parameter, voltage parameter, insulation resistance value, and cable temperature parameter monitored for the i-th time in the status data set, respectively. p 、DYcs p ,JYdz p 、DLwd p They represent the average values ​​of current parameter, voltage parameter, insulation resistance value and cable temperature parameter in the status data set, DLcs b 、DYcs b ,JYdz b 、DLwd b They represent the standard deviation of current parameter, voltage parameter, insulation resistance value and cable temperature parameter in the status data set respectively, and N represents the number of monitoring data of each data; Represents the change between the difference between the current parameter monitored for the ith time and the average value of the current parameter and the standard deviation of the current parameter, which is used to reflect the influence of the current parameter on the abnormal state index; Represents the change between the difference between the voltage parameter monitored for the ith time and the average value of the voltage parameter and the standard deviation of the voltage parameter, which is used to reflect the impact of the voltage parameter on the state abnormality index; Represents the change value between the difference between the insulation resistance parameter monitored for the ith time and the average value of the insulation resistance parameter and the standard deviation of the insulation resistance parameter, and is used to reflect the influence of the insulation resistance parameter on the state abnormality index; Represents the change between the difference between the cable temperature parameter monitored for the i-th time and the average value of the cable temperature parameter and the standard deviation of the cable temperature parameter, and is used to reflect the impact of the cable temperature parameter on the abnormal state index.

7. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 6 is characterized in that: The calculation formula of the environmental interference index is: In the above calculation formula, HJgr represents the environmental interference index, HJwd i 、YHqn i ,SDsj i Respectively represent the ambient temperature data, harmful gas concentration, and humidity data monitored for the i-th time in the environmental data set, HJwd p 、YHqn p ,SDsj p Respectively represent the average values ​​of ambient temperature data, harmful gas concentration, and humidity data in the environmental data set, HJwd b 、YHqn b ,SDsj b They represent the standard deviation of the ambient temperature data, harmful gas concentration, and humidity data in the environmental data set, respectively, and N represents the number of monitoring data for each data; Represents the change between the ambient temperature data monitored for the ith time and the average value of the ambient temperature data and the standard deviation of the ambient temperature data, which is used to reflect the impact of the ambient temperature data on the environmental interference index; Represents the harmful gas concentration data monitored for the ith time and the change between the average value of the harmful gas concentration data and the standard deviation of the harmful gas concentration, which is used to reflect the impact of the harmful gas concentration on the environmental interference index; Represents the humidity data monitored for the i-th time and the change between the average humidity data and the standard deviation of the humidity data, which is used to reflect the impact of humidity data on the environmental interference index.

8. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 7 is characterized in that: The calculation formula of the comprehensive abnormal value is: In the above calculation formula, ZHyc represents the comprehensive abnormal value, YXyc b Represents the standard value of the abnormal operation index, ZTyc b Represents the standard value of the abnormal status index, Hjgr b represents the standard value of the environmental interference index, and α, β, and γ represent the weight factors of the operation abnormality index, state abnormality index, and environmental interference index, respectively.

9. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 8 is characterized in that: When the comprehensive abnormal value is greater than the comprehensive abnormal value standard value, it means that the current cable is abnormal, and a cable abnormality signal is sent to the early warning feedback module.

10. The high temperature resistant gold-copper alloy cable abnormality monitoring system based on big data analysis according to claim 9 is characterized in that: When receiving the cable abnormality signal, the early warning feedback module sends the cable abnormality signal to relevant personnel for maintenance.

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