Intelligent monitoring control system for switch cabinet

Abstract

The invention relates to the field of switch control cabinet monitoring, and discloses a switch cabinet intelligent monitoring control system, which comprises a parameter acquisition module, a variable establishment module, a change contrast module and a second reference module. According to the invention, on the basis that the overall temperature of the switch cabinet is detected and the device is independently monitored, the monitoring of the lead is perfected. The method comprises the following steps: monitoring the diameter changed during thermal expansion of a wire by utilizing the thermal expansion principle of the wire, comparing the diameter with theoretical diameter values obtained under experimental conditions, and calculating each theoretical diameter value through a corresponding temperature, so that the theoretical diameter values and the corresponding temperature are equivalent to a reference table; the actually measured diameter can be compared with the reference table to obtain a theoretical estimated temperature, so that whether the temperature of the lead is abnormal or not can be judged, and whether early warning processing is performed or not can be performed.

Description

Technical Field

[0001] The invention belongs to the field of switch control cabinet monitoring, and in particular relates to an intelligent monitoring and control system for a switch cabinet. Background Art

[0002] The monitoring of switch cabinets is mainly achieved by installing temperature sensors to realize real-time monitoring of the operating status of the switch cabinet, so as to detect faults early and ensure equipment safety. Specifically, this temperature detection method usually reminds maintenance personnel through threshold alarms. Once an abnormal temperature is detected (for example, exceeding the set threshold), the system will automatically alarm and indicate potential overheating problems, so as to arrange maintenance personnel to check in time to prevent accidents. For example, in the Chinese patent with publication number CN116345340B, it is based on this and further uses the predicted temperature to compare with the set threshold for early warning monitoring, so as to obtain monitoring warnings faster.

[0003] However, for the temperature of the switch cabinet, the temperature sensor mainly detects the temperature of the entire cabinet, and the devices and wires inside are monitored separately. The devices can be directly monitored by sensors. The main ways to monitor the temperature of the wire are thermocouple monitoring, infrared thermometer, etc. However, a thermocouple is a temperature sensor that is mainly composed of two wires of different metals. These wires are connected at one end to form a junction, called a measuring junction or hot junction. When the temperature at this junction changes, a thermoelectric potential (voltage) is generated on the wire, and the temperature of the junction can be calculated by measuring this voltage. Therefore, the thermocouple mainly detects the temperature at the location of its measuring junction. The temperature of this junction does not represent the temperature inside the wire. The infrared thermometer mainly checks the temperature increase by scanning the surface of the wire regularly. The surface of the wire and the inside of the wire are separated by insulating materials such as rubber, and the temperature inside and outside is different. It is inaccurate to judge whether the temperature of the wire is normal by the surface temperature. Summary of the invention

[0004] 1. Technical problems to be solved: How to introduce wire monitoring to provide early warning during switch cabinet monitoring.

[0005] (II) Technical solution: The present invention provides a switch cabinet intelligent monitoring and control system, comprising: Parameter acquisition module: obtains the initial diameter value of the wire connected to the device in the switch cabinet at room temperature and uses it as a monitoring benchmark; Variable establishment module: A mathematical model of wire diameter and temperature is established based on the material properties, thermal expansion coefficient and initial diameter value of the wire at room temperature. The initial temperature to the maximum temperature is set to increase in steps to form multiple step temperatures, which are the first step temperature to the Nth step temperature. Multiple step temperatures are substituted into the mathematical model to obtain a reference range of theoretical diameter values. Change comparison module: obtain the actual diameter value of the wire connected to the device in the switch cabinet, compare the actual diameter value with the theoretical diameter value, obtain the theoretical temperature, set the threshold temperature, and issue an abnormal warning when the theoretical temperature exceeds the threshold temperature.

[0006] Furthermore, a second reference module is included, which is used to capture the mechanical vibration generated by the wire during the thermal expansion process and use the mechanical vibration as an auxiliary judgment parameter of the temperature change. The specific steps for implementing the second reference module are: First, install high-precision micro-vibration sensors or accelerometers at key points on the conductor to capture the vibration caused by temperature changes in the conductor; Second, under controllable environmental conditions, the wire is heated in order from the first step temperature to the Nth step temperature, and the wire vibration amplitude and vibration frequency at different step temperatures are obtained as vibration data, which are matched one by one with the temperature to form a vibration characteristic change table; Third, the mathematical relationship between temperature and vibration characteristics is fitted through the vibration characteristic change table; Fourth, use the fitted mathematical relationship to set the abnormal warning threshold between temperature and vibration characteristics.

[0007] Furthermore, using the fitting model, setting the abnormal warning threshold between temperature and vibration characteristics specifically includes two aspects: The first is the vibration amplitude threshold: find out the amplitude change at different temperatures in the experimental data, and take the vibration amplitude change rate with gradually increasing temperature as the normal reference value. The vibration amplitude exceeding the normal reference value is abnormal. The second is the vibration frequency threshold: set the normal range of vibration frequency changes. If the frequency changes beyond the normal range, it indicates that the temperature rise rate is fast and an abnormal warning is required.

[0008] Furthermore, according to different temperature rise rates, the amplitude and frequency thresholds are adjusted to set the first, second and third warning levels. The first warning level corresponds to the vibration frequency and vibration amplitude changes slightly exceeding the set value, the second warning level corresponds to the vibration frequency and vibration amplitude changes obviously exceeding the set value, and the third warning level corresponds to a sharp increase in vibration amplitude and a sharp increase in frequency change amplitude.

[0009] Furthermore, the vibration data and diameter data are used for joint abnormal warning, including: First, if the vibration frequency and amplitude in the vibration data exceed the normal range, and the wire temperature estimated by the wire diameter is also abnormal, it is set as a first-level abnormal warning. The first-level abnormal warning automatic control system stops and notifies the maintenance personnel to carry out maintenance; Second, if the vibration frequency and amplitude in the vibration data exceed the normal range, but the wire temperature estimated by the wire diameter is normal at this moment, it is set as a level 2 abnormal warning, which notifies maintenance personnel to carry out maintenance; Third, if one of the vibration frequency and vibration amplitude in the vibration data exceeds the normal range, but the wire temperature estimated by the wire diameter is normal at this moment, it is set as a level 3 abnormal warning, and the level 3 abnormal warning is additionally checked by maintenance personnel.

[0010] Furthermore, when the conductor vibrates mechanically, the echo delay of the echo generated by the collision between the sound wave generated by the mechanical vibration of the conductor and the inner wall of the switch cabinet is synchronously measured and recorded. At the same time, the changing relationship between temperature and echo delay is determined experimentally. The echo delay obtained by using this changing relationship is compared with the measured echo delay to obtain the estimated conductor temperature. A threshold is set according to the safe temperature range of the conductor to determine whether the conductor is abnormal.

[0011] Furthermore, the specific steps for determining the relationship between the change in temperature and the echo delay are: In the experimental environment, gradually increase the internal temperature of the switch cabinet, measure the echo delay at each temperature, record the delay value corresponding to each temperature, and organize the temperature and corresponding echo delay data into a table; According to the sorted table, temperature is used as the horizontal axis and echo delay is used as the vertical axis to draw a scatter plot to obtain the data distribution trend. Based on the data distribution trend, the fitting model is obtained.

[0012] Furthermore, the position of the vibration sensor is configured with a corresponding position identifier according to the position and type of the wire, and a corresponding wire list is constructed according to the position identifier. The wire list includes the wire identifier and the position identifier under the wire identifier. In addition, the wire list also includes the connected wire identifier of the target wire identifier for establishing a mapping relationship. The wire corresponding to the connected wire identifier is used to guide maintenance personnel to identify the location of the abnormal wire.

[0013] Furthermore, the data volume of the vibration frequency data and the vibration amplitude data in the vibration feature data needs to be kept the same when recording. If the two are unbalanced, the SMOTE algorithm is used to sample the two to increase the number of samples, wherein the SMOTE algorithm includes: identifying the minority class data corresponding to different types of data, randomly selecting one data from the K neighboring data of the minority class data, and generating a new data on the connecting line between the randomly selected data and the original minority class data as the new data corresponding to the minority class data, and further putting the new data into the original minority class data to expand the corresponding minority class data.

[0014] (III) Technical Effects: 1. The present invention improves the monitoring of the wire on the basis of the overall temperature detection of the switch cabinet and the individual monitoring of the device. That is, the principle of thermal expansion of the wire is used to monitor the diameter of the wire when it is thermally expanded, and the diameter is compared with the theoretical diameter value obtained under experimental conditions. Because each theoretical diameter value is calculated by a corresponding temperature, the theoretical diameter value and the corresponding temperature are equivalent to a reference table. The actual measured diameter can be compared with this reference table to obtain the theoretical estimated temperature, so that it can be judged whether the wire temperature is abnormal, so as to determine whether to carry out early warning processing.

[0015] 2. In the present invention, when the wire expands thermally, not only the wire diameter will change, but the wire will also vibrate. By monitoring the vibration of the wire, the vibration data at different temperatures are fitted in a controllable environment. The vibration data is matched with the temperature to form a characteristic change table. This characteristic change table can be used to fit the abnormal warning threshold between the set temperature and the vibration characteristic, that is, to judge whether the wire temperature is abnormal and whether a warning is needed based on whether the vibration frequency and vibration amplitude are within the normal variation range.

[0016] 3. In the present invention, the vibration of the wire and the closed switch cabinet environment can form a specific basis to determine whether the wire temperature is abnormal. Because the vibration of the wire will generate sound waves, and the sound waves will generate echoes when they hit the inner wall of the switch cabinet. By monitoring the echo delay, and then making a relationship between the temperature and the echo delay in a controllable environment, the corresponding echo delay in the relationship between the temperature and the echo delay is compared with the actual echo delay, the temperature of the wire can be estimated to determine whether it is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the module structure of the monitoring system of the present invention; Figure 2 It is a schematic diagram of the structure of the second reference module of the present invention. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0019] The switch cabinet intelligent monitoring and control system provided in this specific embodiment is as follows: Figure 1 and Figure 2As shown, including: Parameter acquisition module: obtains the initial diameter value of the wire connected to the device in the switch cabinet at room temperature and uses it as the monitoring benchmark. For example, a laser distance sensor can be used to accurately measure the cross-sectional diameter of the wire using laser reflection. Because the wires inside the switch cabinet are densely arranged, the laser distance sensor can obtain high-precision measurement data without contacting the wires.

[0020] Variable establishment module: A mathematical model of wire diameter and temperature is established based on the material properties of the wire, the thermal expansion coefficient, and the initial diameter value of the wire at room temperature. The formula for the change of wire diameter with temperature is usually: .in: is the wire diameter at temperature T; is the reference temperature, i.e. room temperature; is the linear expansion coefficient of the conductor material; is the change in temperature, that is For example, the conductor material is copper, the initial diameter is 10 mm, and the thermal expansion coefficient is If the temperature rises by 50°C, the change in wire diameter can be calculated as: . Set the initial temperature to the maximum temperature to form multiple step temperatures, which are the first step temperature to the Nth step temperature. Substitute the multiple step temperatures into the mathematical model to obtain the reference range of the theoretical diameter value. In this way, the theoretical diameter values ​​at different temperatures can be obtained, and a relationship table between diameter and temperature can be established. As shown in Table 1: Table 1 This is the relationship table between the two.

[0021] Change comparison module: obtain the actual diameter value of the wire connected to the device in the switch cabinet, compare the actual diameter value with the theoretical diameter value, obtain the theoretical temperature, set the threshold temperature, and issue an early warning when the theoretical temperature exceeds the threshold temperature. In general, based on the overall temperature detection of the switch cabinet and the individual monitoring of the device, the principle of thermal expansion of the wire is used to monitor the diameter change of the wire during thermal expansion, and this diameter is compared with the theoretical diameter value obtained under experimental conditions. Because each theoretical diameter value is calculated by a corresponding temperature, the theoretical diameter value and the corresponding temperature are equivalent to the above-mentioned reference table. The actual measured diameter can be compared with the reference table in the above-mentioned reference table to obtain the theoretical estimated temperature, so that it can be judged whether the wire temperature is abnormal to determine whether to issue an early warning.

[0022] The comparison table here is a static table that lists the wire diameter values ​​corresponding to different temperatures. This table is collected through experimental data and can be easily and quickly searched. However, if the wire diameter changes irregularly, that is, under the premise of a nonlinear relationship, the current wire temperature can be estimated in the following way to determine whether an abnormal warning is needed, that is, the current wire temperature T is equal to the actual measured diameter value D minus the reference diameter value Then divide by the temperature effect coefficient k on diameter change plus the reference temperature , that is, according to To calculate. The coefficient k of temperature on diameter change is regressed and analyzed using a linear regression analysis tool to solve the slope k. The above method can be called the first reference module for judging whether the wire temperature is abnormal. In addition, because when the wire is thermally expanded, not only the diameter will change, it will also cause the wire to vibrate, so the vibration can also be used as the second reference module. The specific steps are as follows: First, install high-precision micro-vibration sensors or accelerometers at key points of the conductor to capture tiny vibrations caused by temperature changes in the conductor. Depending on the actual situation, vibration sensors can be installed at both ends or in the middle of the conductor. Ensure that the installation of the sensor can stably capture the vibration amplitude and frequency of the conductor. It is worth mentioning that the position of the vibration sensor is configured with a corresponding position identifier according to the location and type of the conductor, and a corresponding conductor list is constructed based on the position identifier. The conductor list includes the conductor identifier and the position identifier under the conductor identifier. In addition, the conductor list also includes the connected conductor identifier of the target conductor identifier for establishing a mapping relationship. The conductor corresponding to the connected conductor identifier is used to guide maintenance personnel to identify the location of abnormal conductors.

[0023] Secondly, in a controlled environment, record the vibration frequency and amplitude of the wire at the starting temperature. As the temperature gradually rises, repeat the recording of the vibration frequency and amplitude at fixed temperature intervals, and correspond the collected vibration frequency, vibration amplitude and temperature one by one to form a vibration feature change table. The data of the two here need to be the same. If the data is not the same, when fitting is required below, it will be biased towards the data with more samples. However, in actual recording, the two may often be unbalanced due to ignoring the records. At this time, the SMOTE algorithm can be used to sample the two to increase the number of samples, wherein the SMOTE algorithm includes: identifying the minority class data corresponding to different types of data, randomly extracting one data from the K neighboring data of the minority class data, and generating a new data on the connecting line of the randomly extracted data and the original minority class data as the new data corresponding to the minority class data, and further putting the new data into the original minority class data to expand the corresponding minority class data. Assuming that the starting temperature is 20°C and the recording is repeated every 10°C, the vibration feature change table formed can be shown in Table 2: Table 2 The mathematical relationship between temperature and vibration characteristics is fitted based on the data in the above table. If the relationship is linear, it can be expressed as If it is nonlinear, it can be expressed as . represents the vibration frequency, and a, b, and c are obtained by fitting the experimental data through quadratic regression analysis. For example, if the data shows that the vibration frequency increases by about 2Hz / 10℃, the formula can be used Indicates the changing trend of frequency.

[0024] Finally, the fitting model is used to set the warning threshold between temperature and vibration characteristics, including vibration amplitude and vibration frequency. Among them, for the vibration amplitude threshold: find the amplitude change at different temperatures in the experimental data, and use the vibration amplitude change rate with gradually increasing temperature as the normal reference value. For example, if the vibration amplitude increases by 0.2 microns for every 10°C increase, it can be set as abnormal when the vibration amplitude increases by more than 0.2 microns every 10 minutes during on-site monitoring. For the vibration frequency threshold: set the normal range of vibration frequency changes, for example, the frequency change should not exceed 2Hz every 10 minutes. If the frequency change exceeds 2Hz, the surface temperature rise rate is fast, and an abnormal warning is required. On this basis, different warning levels can be set by adjusting the amplitude and frequency thresholds to cope with different temperature rise rates. For example, the warning levels are divided into level one, level two, and level three. For level one warning: the changes in vibration frequency and amplitude slightly exceed the set value, for example, the amplitude change reaches 0.15 microns within 10 minutes, and the frequency change is close to 2Hz, and a warning is issued. For the second-level warning: the changes in vibration frequency and amplitude obviously exceed the set value, for example, the vibration amplitude increases by 0.25 microns within 10 minutes, the frequency changes by 3Hz, and the surface temperature rises rapidly. It is recommended to check. For the third-level warning: the vibration amplitude increases sharply, such as exceeding 0.4 microns, and the frequency change reaches or exceeds 4Hz, indicating that the temperature may be too high, and the system automatically alarms and shuts down. In addition, the vibration data and diameter data can be combined for joint abnormal warning. Among them, if the vibration frequency and vibration amplitude in the vibration data exceed the normal range, and the wire temperature estimated by the wire diameter at this moment is also abnormal, it corresponds to the first-level abnormal warning, the first-level abnormal warning automatic control system stops, and notifies the maintenance personnel to carry out maintenance; if the vibration frequency and vibration amplitude in the vibration data exceed the normal range, but the wire temperature estimated by the wire diameter at this moment is normal, it corresponds to the second-level abnormal warning, and the second-level abnormal warning notifies the maintenance personnel to carry out maintenance; if one of the vibration frequency and vibration amplitude in the vibration data exceeds the normal range, but the wire temperature estimated by the wire diameter at this moment is normal, it corresponds to the third-level abnormal warning, and the third-level abnormal warning is subject to additional inspection by the maintenance personnel.

[0025] In addition, the vibration of the wire and the closed switch cabinet environment can form a specific basis to determine whether the wire temperature is abnormal. Because the vibration of the wire will generate sound waves, and the sound waves will produce echoes when they hit the inner wall of the switch cabinet, by monitoring the echo delay, and then making the relationship between the temperature and echo delay in a controllable environment, the corresponding echo delay in the relationship between the temperature and echo delay is compared with the actual echo delay, the temperature of the wire can be estimated to determine whether it is abnormal. The specific steps are as follows: First, install an acoustic sensor at a suitable location near the wire inside the switch cabinet to capture the echo generated by the wire vibration; Secondly, set the initial temperature of the wire, record the echo delay at this time as the reference value, heat the wire, record the echo delay at different set temperatures, and obtain the relationship between temperature and echo delay. Assuming the initial temperature is 20°C and increases by 10°C each time, the relationship between temperature and echo delay can be recorded as shown in Table 3: Table 3 By comparing the actual measured echo delay with this change relationship, the temperature of the conductor can be estimated to determine whether it is abnormal. However, if the table density is not enough and the amount of experimental data is not sufficient, the accuracy of the table search cannot be guaranteed. Therefore, under the premise that the table density is not enough, the estimated temperature of the conductor can be calculated by formula fitting. First, use the temperature as the horizontal axis and the echo delay as the vertical axis to draw a scatter plot, observe the data distribution, and perform linear or nonlinear fitting based on the data trend. If the data is in the form of a straight line, use linear regression. If there is a curve trend, a nonlinear model can be used. This is the same as the fitting in the above-mentioned conductor vibration, so based on this example, the formula for calculating the estimated conductor temperature can be or Here t is the actual measured echo delay, and a, b and c are also obtained by fitting experimental data. The specific fitting method can be performed using software or the least squares method.

[0026] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0027] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A switch cabinet intelligent monitoring and control system, characterized in that: include: Parameter acquisition module: obtains the initial diameter value of the wire connected to the device in the switch cabinet at room temperature and uses it as a monitoring benchmark; Variable establishment module: A mathematical model of wire diameter and temperature is established based on the material properties, thermal expansion coefficient and initial diameter value of the wire at room temperature. The initial temperature to the maximum temperature is set to increase in steps to form multiple step temperatures, which are the first step temperature to the Nth step temperature. Multiple step temperatures are substituted into the mathematical model to obtain a reference range of theoretical diameter values. Change comparison module: obtain the actual diameter value of the wire connected to the device in the switch cabinet, compare the actual diameter value with the theoretical diameter value, obtain the theoretical temperature, set the threshold temperature, and issue an abnormal warning when the theoretical temperature exceeds the threshold temperature.

2. The switch cabinet intelligent monitoring and control system according to claim 1 is characterized in that: The second reference module is also included. The second reference module is used to capture the mechanical vibration generated by the wire during the thermal expansion process and use the mechanical vibration as an auxiliary judgment parameter of the temperature change. The specific steps of its implementation are: First, install high-precision micro-vibration sensors or accelerometers at key points on the conductor to capture the vibration caused by temperature changes in the conductor; Second, under controllable environmental conditions, the wire is heated in order from the first step temperature to the Nth step temperature, and the wire vibration amplitude and vibration frequency at different step temperatures are obtained as vibration data, which are matched one by one with the temperature to form a vibration characteristic change table; Third, the mathematical relationship between temperature and vibration characteristics is fitted through the vibration characteristic change table; Fourth, use the fitted mathematical relationship to set the abnormal warning threshold between temperature and vibration characteristics.

3. The switch cabinet intelligent monitoring and control system according to claim 2 is characterized in that: Using the fitting model, the abnormal warning threshold between temperature and vibration characteristics is set, which specifically includes two aspects: one is the vibration amplitude threshold: find out the amplitude change under different temperatures in the experimental data, and take the vibration amplitude change rate with gradually increasing temperature as the normal reference value. The vibration amplitude exceeding the normal reference value is abnormal; the other is the vibration frequency threshold: set the normal change range of the vibration frequency. If the frequency change exceeds the normal range, it indicates that the temperature rise rate is fast and an abnormal warning is required.

4. The switch cabinet intelligent monitoring and control system according to claim 3 is characterized in that: According to different temperature rise rates, the amplitude and frequency thresholds are adjusted to set the first, second and third warning levels. The first warning level corresponds to the vibration frequency and vibration amplitude changes slightly exceeding the set value, the second warning level corresponds to the vibration frequency and vibration amplitude changes obviously exceeding the set value, and the third warning level corresponds to a sharp increase in vibration amplitude and a sharp increase in frequency change amplitude.

5. The switch cabinet intelligent monitoring and control system according to claim 4 is characterized in that: The warning level can also be combined with vibration data and diameter data for joint abnormal warning. If the vibration frequency and vibration amplitude in the vibration data exceed the normal range, and the wire temperature estimated by the wire diameter is also abnormal, it corresponds to a first-level abnormal warning. The first-level abnormal warning automatic control system stops and notifies maintenance personnel to perform maintenance; if the vibration frequency and vibration amplitude in the vibration data exceed the normal range, but the wire temperature estimated by the wire diameter is normal, it corresponds to a second-level abnormal warning. The second-level abnormal warning notifies maintenance personnel to perform maintenance; if one of the vibration frequency and vibration amplitude in the vibration data exceeds the normal range, but the wire temperature estimated by the wire diameter is normal, it corresponds to a third-level abnormal warning. The third-level abnormal warning requires additional inspection by maintenance personnel.

6. The switch cabinet intelligent monitoring and control system according to claim 2 is characterized in that: When the conductor vibrates mechanically, the echo delay of the echo generated by the collision between the sound wave generated by the mechanical vibration of the conductor and the inner wall of the switch cabinet is synchronously measured and recorded. At the same time, the experiment determines the changing relationship between temperature and echo delay. The echo delay obtained by using this changing relationship is compared with the measured echo delay to obtain the estimated conductor temperature. The threshold is set according to the safe temperature range of the conductor to determine whether the conductor is abnormal.

7. The switch cabinet intelligent monitoring and control system according to claim 6 is characterized in that: The specific steps to determine the changing relationship between temperature and echo delay are as follows: gradually increase the internal temperature of the switch cabinet in the experimental environment, measure the echo delay at each temperature, record the delay value corresponding to each temperature, and organize the temperature and corresponding echo delay data into a table; according to the organized table, use temperature as the horizontal axis and echo delay as the vertical axis to draw a scatter plot to obtain the data distribution trend, and obtain the fitting model based on the data distribution trend.

8. The switch cabinet intelligent monitoring and control system according to claim 2 is characterized in that: The position of the vibration sensor is configured with a corresponding position identifier according to the position and type of the wire, and a corresponding wire list is constructed according to the position identifier. The wire list includes the wire identifier and the position identifier under the wire identifier. In addition, the wire list also includes the connected wire identifier of the target wire identifier for establishing a mapping relationship. The wire corresponding to the connected wire identifier is used to guide maintenance personnel to identify the location of the abnormal wire.

9. The switch cabinet intelligent monitoring and control system according to claim 2 is characterized in that: The data volume of the vibration frequency data and the vibration amplitude data in the vibration feature data needs to be kept the same when recording. If the two are unbalanced, the SMOTE algorithm is used to sample the two to increase the number of samples, wherein the SMOTE algorithm includes: identifying the minority class data corresponding to different types of data, randomly extracting one data from the K neighboring data of the minority class data, and generating a new data on the connecting line between the randomly extracted data and the original minority class data as the new data corresponding to the minority class data, and further putting the new data into the original minority class data to expand the corresponding minority class data.

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