CN117849557A - Insulation online monitoring system and method based on 5G communication cable - Google Patents
Insulation online monitoring system and method based on 5G communication cable Download PDFInfo
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Abstract
The invention discloses an insulation on-line monitoring system and method based on a 5G communication cable, and particularly relates to the technical field of communication cable monitoring. According to the invention, the comparison data of the cable in the current operation is compared with the normal data of the cable in the normal operation, so that the position of the cable in the abnormal condition area is found, the ultrasonic monitoring and the picture shooting of mechanical damage are carried out by combining the ultrasonic monitoring module and the X-ray monitoring module, and the insulation of the cable can be monitored by combining the analysis and the judgment of the neural network model, so that the effect of timely early warning is achieved.
Description
Technical Field
The invention relates to the technical field of communication cable monitoring, in particular to an insulation on-line monitoring system and method based on a 5G communication cable.
Background
The communication cable is a cable for transmitting telephone, telegraph, fax files, television and broadcast programs, data and other electric signals, is formed by twisting more than one pair of mutually insulated wires, and has the advantages of large communication capacity, high transmission stability, good confidentiality, less influence of natural conditions and external interference and the like compared with an overhead open wire;
the insulation of the communication cable is an absolute factor affecting the safety of the cable, the insulation layer on the surface of the cable can be aged along with the change of time, so that the insulation of the cable is reduced, and the phenomena of electric leakage and short circuit are easily caused.
However, at present, in the normal inspection or accident investigation link, the electricity inspector cannot quickly and accurately judge the insulation performance data of the cable on site, only relies on personnel skills and experience and only relies on naked eye analysis and judgment, lacks the assistance of professional instruments, cannot accurately find hidden defects and faults of the cable, and cannot thoroughly eliminate potential safety hazards.
The invention patent of patent application number CN201911089983.X discloses a cable head insulation performance on-line monitoring system and method, the testing module of the cable in the system only comprises an X-ray monitoring module, an infrared monitoring module and an ultrasonic monitoring module, the monitoring range of the cable is low, the insulation of the cable is influenced by temperature, humidity environment, cable current voltage and cable resistance, the system monitors the temperature condition of the cable only through the infrared monitoring module, the insulation of the cable cannot be comprehensively monitored, and the conditions of current, poor contact, damp and the like of the cable are required to be calculated according to temperature deviation, or the conditions of temperature, humidity, current voltage and resistance of the cable cannot be visually checked through manual judgment.
In view of the above, the invention provides an insulation on-line monitoring system and method based on a 5G communication cable.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, the present invention provides an insulation on-line monitoring system and method based on a 5G communication cable, so as to solve the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides an insulating nature on-line monitoring system based on 5G communication cable, includes insulation resistance measurement module, current voltage monitoring module, humiture monitoring module, X ray monitoring module, ultrasonic monitoring module, data transmission module, data processing module, data comparison module, monitoring terminal and early warning module, insulation resistance measurement module, current voltage monitoring module, humiture monitoring module and X ray monitoring module all are connected with ultrasonic monitoring module, ultrasonic monitoring module is connected with data transmission module, data transmission module is connected with data processing module, data processing module is connected with data comparison module, data transmission module, data processing module and data comparison module all are connected with monitoring terminal, and monitoring terminal is connected with early warning module.
Preferably, the insulation resistance measurement module performs insulation resistance test on the surface of the cable and transmits the acquired resistance information to the monitoring terminal, and the current and voltage monitoring module is a current sensor and a voltage sensor and is used for monitoring current and voltage data of the cable and transmitting the acquired current and voltage data to the monitoring terminal.
Preferably, the temperature and humidity monitoring module is a temperature sensor and a humidity sensor and is used for monitoring the temperature and humidity condition of the surface of the cable insulation layer and transmitting data to the monitoring terminal, and the X-ray monitoring module performs X-ray shooting on mechanical damage of the surface of the cable and sends the shot picture to the monitoring terminal.
Preferably, the ultrasonic monitoring module performs ultrasonic detection based on abnormal data monitored by the insulation resistance measuring module, the current and voltage monitoring module and the temperature and humidity monitoring module, and transmits the data detected by the ultrasonic detection to the monitoring terminal, the monitoring terminal compares the abnormal data transmitted by the data transmission module, the data processing module and the data comparison module with normal data, judges the insulation of the cable, and the early warning module performs early warning based on the comparison condition of the abnormal data and the normal data.
Preferably, the abnormal data is the comparison data of the abnormal resistance data of the cable and the normal resistance data of the cable, the comparison data of the abnormal current voltage data of the cable and the normal current voltage data of the cable and the comparison of the abnormal temperature and humidity data of the cable and the normal temperature and humidity data of the cable, and the early warning module is a buzzer early warning and a short message early warning.
Preferably, the data transmission module performs signal transmission based on a 5G network, the data processing module and the data comparison module are integrated in the monitoring system, and the monitoring system further comprises a neural network module, and the data processing module and the data comparison module are both connected with the neural network module.
The invention also provides an insulation on-line monitoring method based on the 5G communication cable, which uses the insulation on-line monitoring system based on the 5G communication cable, and comprises the following steps:
firstly, attaching an identification code on the surface of a communication cable, scanning the identification code on the communication cable through scanning equipment, and inputting the identification information of the cable into a system;
detecting the resistance value of the communication cable in the current running state by using an insulation resistance measuring module, and sending the detected resistance value to a detection terminal for storage and display;
detecting current values and voltage values of the communication cable in the current running state by using a current sensor and a voltage sensor in the current and voltage monitoring module, and sending the detected current and voltage values to a detection terminal for storage and display;
fourthly, detecting the temperature and humidity value of the communication cable in the current running state by using a temperature sensor and a humidity sensor in the temperature and humidity monitoring module, and sending the temperature and humidity detection value to a monitoring terminal for storage and display;
shooting pictures of mechanical damage on the surface of the communication cable in the current running state by using an X-ray monitoring module, digitally imaging, and sending the digital imaging to a monitoring terminal for storage and display;
step six, in the system, a neural network model is established based on a data processing module and a data comparison module in the system, normal data of the cable are subjected to data cleaning, missing value filling and abnormal value processing, the preprocessed normal data are subjected to feature extraction, the feature extracted data are imported into the neural network model for deep learning, and trained data are imported into the monitoring system and marked as normal data;
step seven, carrying out data cleaning, missing value filling and abnormal value processing steps on the data acquired by the cable by using the insulation resistance measuring module, the current and voltage monitoring module and the humidity monitoring module, carrying out feature extraction on the preprocessed data, guiding the feature extracted data into a neural network model for deep learning, guiding the trained data into the monitoring system, and marking the data as comparison data;
step eight, the monitoring terminal machine processes and compares the normal data and the comparison data of the cable based on the data processing module and the data comparison module, judges the insulation abnormal area condition of the communication cable, and sends an abnormal signal to the ultrasonic monitoring module to send a final ultrasonic detection instruction;
step nine, the ultrasonic monitoring module carries out ultrasonic detection on the abnormal cable area according to the sending instruction, and feeds back a final ultrasonic detection instruction to the monitoring terminal machine;
and step ten, the monitoring terminal carries out comparison analysis with normal data respectively based on the system and according to different comparison data and ultrasonic detection data, carries out final judgment on the insulativity of the cable and the defects on the surface of the cable, and finds out the cable with poor insulativity for maintenance and investigation treatment according to the cable identification information scanned in advance.
Preferably, in the sixth step, the normal data of the cable is divided into current voltage data, temperature and humidity data and insulation resistance data of the cable under the normal operation condition.
Preferably, in the seventh step, the comparison data is divided into current voltage data, temperature and humidity data and insulation resistance data of the cable in the current running state after being detected by the insulation resistance measurement module, the current voltage monitoring module and the temperature and humidity monitoring module.
Preferably, in step seven, the method for determining insulation abnormality of the communication cable is an abnormality generated by comparing the comparison data with the normal data.
The invention has the technical effects and advantages that:
1. the method comprises the steps of comparing the comparison data of the current operation of the cable with the normal data of the normal operation of the cable, finding out the region position of the abnormal condition of the cable, carrying out ultrasonic monitoring and mechanical damage picture shooting by combining an ultrasonic monitoring module and an X-ray monitoring module, and carrying out analysis and judgment by combining a neural network model, so that the insulativity of the cable can be monitored, and the effect of timely early warning is achieved;
2. by adopting the insulation resistance measuring module, the current and voltage monitoring module, the temperature and humidity monitoring module, the X-ray monitoring module and the ultrasonic monitoring module to respectively detect various data influencing the insulativity of the cable, the detection range of the insulativity of the cable is improved, and various factors influencing the insulativity of the cable are reduced.
Drawings
Fig. 1 is an overall system diagram of the present invention.
FIG. 2 is a flow chart of the steps of the present invention.
The reference numerals are: 1. an insulation resistance measurement module; 2. a current voltage monitoring module; 3. a temperature and humidity monitoring module; 4. an X-ray monitoring module; 5. an ultrasonic monitoring module; 6. a data transmission module; 7. a data processing module; 8. a data comparison module; 9. monitoring a terminal; 10. and an early warning module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The insulation on-line monitoring system based on the 5G communication cable shown in the attached figure 1 comprises an insulation resistance measuring module 1, a current and voltage monitoring module 2, a temperature and humidity monitoring module 3, an X-ray monitoring module 4, an ultrasonic monitoring module 5, a data transmission module 6, a data processing module 7, a data comparison module 8, a monitoring terminal and an early warning module 10, wherein the insulation resistance measuring module 1, the current and voltage monitoring module 2, the temperature and humidity monitoring module 3 and the X-ray monitoring module 4 are all connected with the ultrasonic monitoring module 5, the ultrasonic monitoring module 5 is connected with the data transmission module 6, the data transmission module 6 is connected with the data processing module 7, the data processing module 7 and the data comparison module 8 are all connected with the monitoring terminal, and the monitoring terminal is connected with the early warning module 10.
In a specific embodiment, as shown in fig. 1, an insulation resistance measurement module 1 performs insulation resistance test on the surface of a cable and transmits acquired resistance information to a monitoring terminal, and a current and voltage monitoring module 2 is a current sensor and a voltage sensor and is used for current and voltage data monitoring of the cable and transmitting acquired current and voltage data to the monitoring terminal.
Specifically, in this structure, insulation resistance measurement module 1 can carry out the resistance test to the insulating layer on cable surface, if the direct current resistance of cable exceeds national standard technical parameter, when the electric current passes through the cable, will increase its loss on the circuit for the current-carrying capacity reduces, lead to the cable to heat aggravate, the insulating and sheath material ageing of cladding outside the cable is accelerated, cause the phenomenon such as supply cable way electric leakage, short circuit when serious, even cause the fire accident, and then detect the insulating resistance condition of cable through insulation resistance measurement module 1, and the voltage and current condition of cable is detected to the current and voltage detection module, if the electric current and voltage is too big will lead to the cable temperature to rise, thereby receive the destruction to the insulating layer on cable surface, influence the insulating nature of cable.
In a specific embodiment, as shown in fig. 1, the temperature and humidity monitoring module 3 is a temperature sensor and a humidity sensor, and is configured to monitor the temperature and humidity condition of the surface of the cable insulation layer, transmit data to the monitoring terminal, and the X-ray monitoring module 4 performs X-ray shooting on the mechanical damage of the cable surface, and sends the shot picture to the monitoring terminal.
Specifically, utilize humiture monitoring module 3 to carry out temperature and humidity measurement to the cable, the high temperature on cable top layer can directly lead to the destruction to the insulating layer, and the high resistance value that leads to the cable reduces moreover, thereby the electric leakage risk of initiation cable, and X-ray detection module carries out the picture to the top layer condition of cable and shoots, look over whether the surface of cable produces mechanical damage, in case the insulating layer on the surface of cable produces mechanical damage, lead to the insulativity of cable to cause the influence, thereby lead to the risk that the cable takes place the electric leakage, and then through the humiture and the mechanical damage condition that detect the cable, reduce the condition and the insulation monitoring of cable electric leakage.
In a specific embodiment, as shown in fig. 1, an ultrasonic monitoring module 5 performs ultrasonic detection based on abnormal data monitored by an insulation resistance measuring module 1, a current and voltage monitoring module 2 and a temperature and humidity monitoring module 3, and transmits the data detected by ultrasonic detection to a monitoring terminal, the monitoring terminal performs comparison with normal data based on abnormal data transmitted by a data transmission module 6, a data processing module 7 and a data comparison module 8, judges cable insulation, an early warning module 10 performs early warning based on the comparison condition of the abnormal data and the normal data, the abnormal data is the comparison data of the abnormal resistance data of the cable and the normal resistance data of the cable, the comparison data of the abnormal current and voltage data of the cable and the normal current and voltage data of the cable, and the comparison of the abnormal temperature and humidity data of the cable, and an early warning module 10 performs buzzer early warning and short message early warning.
Specifically, in this structure, when the insulation resistance measurement module 1, the current and voltage monitoring module 2 and the temperature and humidity monitoring module 3 detect an abnormality in the resistance of the cable, the voltage and current and the temperature and humidity data, the abnormality refers to that the abnormal value of the national cable is not satisfied, the ultrasonic monitoring module 5 performs ultrasonic detection on the abnormal region of the cable, and sends the detected data to the monitoring terminal, and performs insulation judgment, so that a monitoring person can grasp the insulation condition of the cable in time, and notify a maintenance person by adopting an alarm and a short message once the condition is abnormal.
In a specific embodiment, as shown in fig. 1, the data transmission module 6 performs signal transmission based on a 5G network, the data processing module 7 and the data comparing module 8 are integrated in the monitoring system, and the monitoring system further includes a neural network module, where the data processing module 7 and the data comparing module 8 are connected with the neural network module.
Specifically, in this structure, data transmission module 6 adopts 5G network to realize the transmission of data, improves the transmission effect of data to with data transmission to data comparison module 8 carry out the data comparison, combine neural network module's operation, more accurate understanding cable's insulating unusual condition reaches the intelligent monitoring to cable surface insulating layer.
As shown in fig. 2, this embodiment further provides an insulation on-line monitoring method based on a 5G communication cable, and the insulation on-line monitoring system based on a 5G communication cable is adopted, where the monitoring method ensures the following steps:
firstly, attaching an identification code on the surface of a communication cable, scanning the identification code on the communication cable through scanning equipment, and inputting the identification information of the cable into a system;
step two, detecting the resistance value of the communication cable in the current running state by using the insulation resistance measurement module 1, and sending the detected resistance value to a detection terminal for storage and display;
detecting current values and voltage values of the communication cable in the current running state by using a current sensor and a voltage sensor in the current and voltage monitoring module 2, and sending the detected current and voltage values to a detection terminal for storage and display;
fourthly, detecting temperature and humidity values of the communication cable in the current running state by using a temperature sensor and a humidity sensor in the temperature and humidity monitoring module 3, and sending the temperature and humidity detected values to a monitoring terminal for storage and display;
shooting a picture of mechanical damage on the surface of the communication cable in the current running state by utilizing an X-ray monitoring module 4, digitally imaging, and sending the digital imaging to a monitoring terminal for storage and display;
step six, in the system, a neural network model is built based on a data processing module 7 and a data comparison module 8 in the system, normal data of the cable are subjected to data cleaning, missing value filling and abnormal value processing, the preprocessed normal data are subjected to feature extraction, the feature extracted data are imported into the neural network model for deep learning, the trained data are imported into the monitoring system and marked as normal data, and the normal data of the cable are divided into current and voltage data, temperature and humidity data and insulation resistance data under the normal operation condition of the cable;
step seven, carrying out data cleaning, missing value filling and abnormal value processing steps on data acquired by the cable by using the insulation resistance measuring module 1, the current voltage monitoring module 2 and the humidity monitoring module, carrying out feature extraction on the preprocessed data, guiding the feature extracted data into a neural network model for deep learning, guiding the trained data into the monitoring system, marking the trained data as comparison data, wherein the comparison data is divided into current voltage data, temperature and humidity data and insulation resistance data of the cable in the current running state after being detected by the insulation resistance measuring module 1, the current voltage monitoring module 2 and the temperature and humidity monitoring module 3, and the method for judging the insulation abnormal condition of the communication cable is that the comparison data is compared with normal data to generate abnormal conditions;
step eight, the monitoring terminal machine processes and compares the normal data and the comparison data of the cable based on the data processing module 7 and the data comparison module 8, judges the insulation abnormal region condition of the communication cable, and sends an abnormal signal to the ultrasonic monitoring module 5 to send a final ultrasonic detection instruction;
step nine, the ultrasonic monitoring module 5 carries out ultrasonic detection on the abnormal cable area according to the sending instruction, and feeds back a final ultrasonic detection instruction to the monitoring terminal machine;
and step ten, the monitoring terminal carries out comparison analysis with normal data respectively based on the system and according to different comparison data and ultrasonic detection data, carries out final judgment on the insulativity of the cable and the defects on the surface of the cable, and finds out the cable with poor insulativity for maintenance and investigation treatment according to the cable identification information scanned in advance.
The working principle of the invention is as follows:
for a clearer understanding of the system and method principles of the present invention, a full explanation of the above is provided below:
each item of data detection is carried out on the communication cable by utilizing an insulation resistance measurement module 1, a current and voltage monitoring module 2 and a temperature and humidity monitoring module 3 in the system, wherein;
the insulation resistance measurement module 1 is used for detecting the resistance value of the cable, the resistance value can determine the direct current of the cable, and the temperature of the cable becomes high when the current is too large, so that the insulation layer of the cable is damaged, and the insulation property is influenced;
the current and voltage monitoring module 2 is used for detecting the current and voltage conditions of the cable, and the same current and voltage are too large, so that the insulativity of the cable is influenced;
the temperature and humidity monitoring module 3 is used for detecting the temperature and humidity of the surface layer of the cable, the insulation layer on the surface of the cable is damaged due to the fact that the temperature is too high, the current is too high due to the fact that the humidity is too high, and the insulation property of the cable is affected to a certain extent;
the system establishes a neural network model, firstly trains normal values of the cable, the normal values are resistances, current and voltage and temperature and humidity conditions of the cable under normal conditions, and the normal values are marked and stored in the system in advance;
based on the insulation resistance measuring module 1, the current and voltage monitoring module 2 and the temperature and humidity monitoring module 3, after each item of data of the current cable is collected, training is carried out by adopting a neural network model, and the data is marked as comparison data;
comparing the comparison data with the normal data by using a data comparison module 8, finding out an area of abnormal data of the cable, performing ultrasonic scanning on the abnormal area of the cable by using an ultrasonic detection module, performing X-ray shooting on mechanical damage on the surface of the abnormal cable by using an X-ray monitoring module 4, and judging by combining a neural network module according to the ultrasonic scanning data and a mechanical damage picture of the cable shot by the X-ray so as to realize monitoring on the insulativity of the cable;
the specific implementation scene is as follows:
a large number of cables exist in a scene A, the data acquisition is carried out on the cables running in the scene A through an insulation resistance measurement module 1, a current and voltage monitoring module 2 and a temperature and humidity monitoring module 3, the acquired data are preprocessed and then trained through a neural network model, the data are marked as comparison data, normal data of the cable running are stored in the system in advance and trained through the neural network model in advance, the normal data are marked as normal data, and the normal data are current and voltage abnormality, resistance abnormality and temperature and humidity abnormality conditions which are not caused by the cables;
after comparing the comparison data with the normal data, if the current and voltage are abnormal, the resistance is abnormal or the temperature and humidity are abnormal, and then a specific area of the abnormal condition of the cable can be found, the system adopts the ultrasonic monitoring module 5 to carry out ultrasonic detection on the abnormal area, meanwhile, adopts the X-ray monitoring module 4 to carry out mechanical damage picture shooting on the abnormal area of the cable, transmits the data to the monitoring terminal, and the monitoring terminal monitors the insulativity of the abnormal area of the cable by combining a neural network model.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The utility model provides an insulating nature on-line monitoring system based on 5G communication cable, includes insulation resistance measurement module (1), current voltage monitoring module (2), humiture monitoring module (3), X ray monitoring module (4), ultrasonic monitoring module (5), data transmission module (6), data processing module (7), data contrast module (8), monitoring terminal machine and early warning module (10), its characterized in that: insulation resistance measurement module (1), current-voltage monitoring module (2), humiture monitoring module (3) and X ray monitoring module (4) are all connected with ultrasonic monitoring module (5), ultrasonic monitoring module (5) are connected with data transmission module (6), data transmission module (6) are connected with data processing module (7), data processing module (7) are connected with data contrast module (8), data transmission module (6), data processing module (7) and data contrast module (8) all are connected with monitoring terminal, and monitoring terminal is connected with early warning module (10).
2. An insulation on-line monitoring system based on a 5G communication cable according to claim 1, wherein: the insulation resistance measuring module (1) is used for conducting insulation resistance testing on the surface of the cable and transmitting the acquired resistance information to the monitoring terminal, and the current and voltage monitoring module (2) is a current sensor and a voltage sensor and is used for monitoring current and voltage data of the cable and transmitting the acquired current and voltage data to the monitoring terminal.
3. An insulation on-line monitoring system based on a 5G communication cable according to claim 1, wherein: the temperature and humidity monitoring module (3) is a temperature sensor and a humidity sensor and is used for monitoring the temperature and humidity conditions of the surface of the cable insulation layer and transmitting data to the monitoring terminal, and the X-ray monitoring module (4) shoots the mechanical damage of the cable surface by X-rays and sends the shot pictures to the monitoring terminal.
4. An insulation on-line monitoring system based on a 5G communication cable according to claim 1, wherein: the ultrasonic monitoring module (5) is used for carrying out ultrasonic detection on abnormal data monitored by the insulation resistance measuring module (1), the current and voltage monitoring module (2) and the temperature and humidity monitoring module (3) and transmitting the data detected by the ultrasonic waves to the monitoring terminal, the monitoring terminal is used for comparing abnormal data transmitted by the data transmission module (6), the data processing module (7) and the data comparison module (8) with normal data and judging the insulation of the cable, and the early warning module (10) is used for carrying out early warning on the basis of the comparison condition of the abnormal data and the normal data.
5. The insulation on-line monitoring system based on the 5G communication cable according to claim 4, wherein: the abnormal data are comparison data of abnormal resistance data of the cable and normal resistance data of the cable, comparison data of abnormal current voltage data of the cable and normal current voltage data of the cable and comparison of abnormal temperature and humidity data of the cable and normal temperature and humidity data of the cable, and the early warning module (10) is used for buzzer early warning and short message early warning.
6. An insulation on-line monitoring system based on a 5G communication cable according to claim 1, wherein: the data transmission module (6) is used for carrying out signal transmission based on a 5G network, the data processing module (7) and the data comparison module (8) are integrated in the monitoring system, the monitoring system further comprises a neural network module, and the data processing module (7) and the data comparison module (8) are connected with the neural network module.
7. An insulation on-line monitoring method based on a 5G communication cable, using the insulation on-line monitoring system based on a 5G communication cable according to any one of claims 1 to 6, characterized in that: the monitoring method comprises the following steps:
firstly, attaching an identification code on the surface of a communication cable, scanning the identification code on the communication cable through scanning equipment, and inputting the identification information of the cable into a system;
step two, detecting the resistance value of the communication cable in the current running state by using an insulation resistance measurement module (1), and sending the detected resistance value to a detection terminal for storage and display;
detecting current values and voltage values of the communication cable in the current running state by using a current sensor and a voltage sensor in the current and voltage monitoring module (2), and sending the detected current and voltage values to a detection terminal for storage and display;
fourthly, detecting temperature and humidity values of the communication cable in the current running state by using a temperature sensor and a humidity sensor in the temperature and humidity monitoring module (3), and sending the temperature and humidity detected values to a monitoring terminal for storage and display;
shooting a picture of mechanical damage on the surface of the communication cable in the current running state by utilizing an X-ray monitoring module (4), digitally imaging, and sending the digital imaging to a monitoring terminal for storage and display;
step six, in the system, a neural network model is built based on a data processing module (7) and a data comparison module (8) in the system, normal data of the cable are subjected to data cleaning, missing value filling and abnormal value processing, the preprocessed normal data are subjected to feature extraction, the feature extracted data are imported into the neural network model for deep learning, the trained data are imported into the monitoring system, and the data are marked as normal data;
step seven, carrying out data cleaning, missing value filling and abnormal value processing steps on data acquired by the cable by using an insulation resistance measuring module (1), a current and voltage monitoring module (2) and a humidity monitoring module, carrying out feature extraction on the preprocessed data, guiding the feature extracted data into a nerve network model for deep learning, guiding the trained data into the monitoring system, and marking the trained data as comparison data;
step eight, the monitoring terminal machine processes and compares the normal data and the comparison data of the cable based on the data processing module (7) and the data comparison module (8), judges the condition of an insulation abnormal area of the communication cable, and sends an abnormal signal to the ultrasonic monitoring module (5) to send a final ultrasonic detection instruction;
step nine, the ultrasonic monitoring module (5) carries out ultrasonic detection on the abnormal cable area according to the sending instruction, and feeds back a final ultrasonic detection instruction to the monitoring terminal machine;
and step ten, the monitoring terminal carries out comparison analysis with normal data respectively based on the system and according to different comparison data and ultrasonic detection data, carries out final judgment on the insulativity of the cable and the defects on the surface of the cable, and finds out the cable with poor insulativity for maintenance and investigation treatment according to the cable identification information scanned in advance.
8. The on-line insulation monitoring method based on the 5G communication cable according to claim 7, wherein the method comprises the following steps: in the sixth step, the normal data of the cable is divided into current and voltage data, temperature and humidity data and insulation resistance data of the cable under the normal operation condition.
9. The on-line insulation monitoring method based on the 5G communication cable according to claim 7, wherein the method comprises the following steps: in the seventh step, the comparison data are divided into current voltage data, temperature and humidity data and insulation resistance data of the cable in the current running state after being detected by the insulation resistance measuring module (1), the current voltage monitoring module (2) and the temperature and humidity monitoring module (3).
10. The on-line insulation monitoring method based on the 5G communication cable according to claim 7, wherein the method comprises the following steps: in the seventh step, the method for judging the insulation abnormal condition of the communication cable is an abnormal condition generated by comparing the comparison data with the normal data.
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