Bus duct multi-dimensional monitoring index driven fault identification and diagnosis system

Abstract

The present application relates to the technical field of management system, specifically relates to a kind of bus duct multi-dimensional monitoring index driven fault identification diagnosis system, including model construction unit, constructs connection model, the internal space of box in connection model is marked as monitoring space, current connection surface is marked in monitoring space, opening contour line is marked in monitoring space;Multi-dimensional monitoring unit, temperature monitoring point position is determined based on the position distribution of current connection surface and temperature sensor is set in temperature monitoring point, humidity sensor is set on the inner wall of plug-in box away from opening contour line, vibration sensor is set on the inner wall of plug-in box close to current connection surface;Fault monitoring unit, multiple fault feature sets are preset, based on the monitoring data of temperature sensor, humidity sensor and vibration sensor, compare and analyze in combination with fault feature set, determine the fault type currently occurred.

Description

A fault identification and diagnosis system driven by multi-dimensional monitoring indicators for bus trunking Technical Field

[0001] This invention relates to the field of management system technology, and specifically to a fault identification and diagnosis system driven by multi-dimensional monitoring indicators of busbar trunking. Background Technology

[0002] Busbar distribution systems are a modern, modular, and highly efficient power transmission solution, essentially creating an "electricity highway" for buildings. Compared to traditional distributed cables, this system pre-encapsulates high-conductivity copper or aluminum busbars within a metal casing, forming a standardized, modular, rigid transmission trunk line. This allows for the safe and reliable transmission of electrical energy from the main distribution room to various power-consuming areas with high current and low loss.

[0003] The low-voltage power distribution system of busbar trunking mainly consists of the busbar trunking body, connectors, plug-in boxes, fixed supports, and accessories. As the main output port of the busbar trunking, the plug-in box is prone to loosening of contact pressure and increase of contact resistance due to long-term electrodynamics, thermal expansion and contraction, and vibration at the junction of the internal plug and the busbar conductor, which can lead to overheating of the joint. Traditional operation and maintenance relies on manual periodic infrared inspection, which is difficult to detect abnormal temperature rise of the joint inside the enclosed shell in time, and has certain defects. Summary of the Invention

[0004] To address the aforementioned shortcomings of existing technologies, this invention provides a fault identification and diagnosis system driven by multi-dimensional monitoring indicators for bus trunking, which can effectively solve the problem of difficulty in timely diagnosis and detection of abnormal temperatures at the interface of bus trunking plug-in boxes in existing technologies.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] This invention provides a fault identification and diagnosis system driven by multi-dimensional monitoring indicators for bus trunking, comprising at least:

[0007] The model building unit constructs a connection model between the plug-in box and the busbar trunking. The internal space of the box in the connection model is designated as the monitoring space. The conductor contact surfaces of the plug-in box model and the busbar trunking model are marked in the monitoring space and designated as the current connection surfaces. The opening outline of the plug-in box is also marked in the monitoring space.

[0008] The multi-dimensional monitoring unit represents the connection model and current connection surface in a three-dimensional coordinate system. Based on the positional distribution of the current connection surface, it determines the locations of temperature monitoring points and sets temperature sensors at these points. Specifically:

[0009] The target mounting surface is selected based on the temperature monitoring range of the temperature sensor. The thermal induction index of each point is calculated based on the positional relationship between the current connection surface and its corresponding conductor part and each point on the target mounting surface. The point with the largest thermal induction index is taken as the temperature monitoring point.

[0010] A humidity sensor is installed on the inner wall of the plug box away from the opening outline, and a vibration sensor is installed on the inner wall of the plug box near the current connection surface.

[0011] The fault monitoring unit has multiple preset fault feature sets, each of which corresponds to a fault command. Based on the monitoring data from temperature sensors, humidity sensors, and vibration sensors, the unit compares and analyzes the fault feature sets to determine the type of fault that has occurred and generates the corresponding fault command.

[0012] Furthermore, the opening outline refers to the outline of the front opening, back opening, and bottom opening of the plug-in box.

[0013] Furthermore, the process for determining the location of the temperature monitoring point is as follows:

[0014] Using the center point of the current connection surface as the positioning coordinate of the current connection surface and recording it as the positioning point, multiple mounting surfaces in the connection model are selected. Multiple positioning spheres are constructed with the positioning point as the center and the preset temperature monitoring range as the radius. The mounting surface that intersects with multiple positioning spheres is selected and recorded as the target mounting surface.

[0015] The sum of the areas where each target mounting surface intersects with multiple positioning spheres is calculated and recorded as the evaluation value. The target mounting surface with the largest evaluation value is selected and recorded as the final mounting surface.

[0016] A Cartesian coordinate system coinciding with the final installation surface is constructed and denoted as the reference coordinate system. The thermal induction index of the corresponding point is calculated based on the distance between any point in the reference coordinate system and multiple current connection surfaces. The point with the largest thermal induction index is selected and denoted as the temperature monitoring point.

[0017] Furthermore, the process for obtaining the temperature monitoring range is as follows:

[0018] A temperature sensor for testing is pre-set and is referred to as the test sensor. A heat source is placed near the test sensor and a temperature sensing test is performed. The distance between the heat source and the test sensor is referred to as the interval distance, and the temperature measured by the test sensor is referred to as the test temperature.

[0019] First, control the heat source temperature to rise to the first test temperature and maintain it until the test temperature stabilizes, which is recorded as the first time point. Then, control the heat source temperature to gradually rise to the second test temperature and maintain it until the test temperature stabilizes, which is recorded as the second time point. Plot the curve of heat source temperature changing with time and the curve of test temperature changing with time.

[0020] The area of ​​the closed contour between the heat source temperature change curve and the test temperature change curve over time is calculated and recorded as the offset influence value. The offset influence value is then bound to the corresponding interval distance.

[0021] Adjust the interval distance to conduct multiple temperature sensing tests and record the offset impact value corresponding to each interval distance. There is a preset offset impact threshold. The maximum value of the interval distance with an offset impact value less than or equal to the offset impact threshold is selected and recorded as the temperature monitoring range.

[0022] Furthermore, the calculation process for the thermal sensitivity index is as follows:

[0023] Using the current connection surface as a reference, extend the conductor part in the connection model to both sides and record it as the heating part. Bind the heating part to the corresponding current connection surface. Make a plane parallel to the final installation surface and at a distance equal to the preset installation height and record it as the probe reference surface. Record any point in the probe reference surface as the test point and bind the test point to its projection point in the reference coordinate system.

[0024] The influence index of each heating element at the test point is calculated based on the positional relationship between the heating element and the test point. The sum of the influence indices of multiple heating elements is recorded as the thermal induction index of the test point.

[0025] Furthermore, the calculation process for the influence index is as follows:

[0026] A temperature propagation line is obtained by connecting the point to be measured with the corresponding positioning point of the heating part. A plane perpendicular to the temperature propagation line is drawn through the point to be measured and is called the temperature propagation surface. The direct projection area of ​​the heating part on the temperature propagation surface is called the effective projection profile. There are no objects obstructing the effective projection profile and the heating part. The area value of the effective projection profile is called the influence area. The shortest distance between the heating part and the point to be measured is called the influence distance. The influence index is directly proportional to the influence area and inversely proportional to the influence distance.

[0027] Furthermore, the influence index is equal to the square root of the area affected, multiplied by a preset constant coefficient, and divided by the distance affected.

[0028] Furthermore, the coordinates of the installation indicator are determined based on the location of the temperature monitoring point, wherein:

[0029] Mark the temperature monitoring point and its final installation surface in the connection model, obtain the overall outline of the final installation surface and record it as the installation surface outline, record the multiple straight lines that make up the installation surface outline as outline edge lines, select the two outline edge lines that are perpendicular to each other as the horizontal axis and the vertical axis of the coordinate system and construct the coordinate system as the positioning coordinate system, and determine the coordinate mark of the temperature monitoring point in the positioning coordinate system as the installation indication coordinate.

[0030] Furthermore, there are preset thresholds for temperature influence, humidity influence, and vibration influence. When the temperature sensor data is greater than or equal to the temperature influence threshold, it is recorded as a temperature anomaly. When the humidity sensor data is greater than or equal to the humidity influence threshold, it is recorded as a humidity anomaly. When the vibration sensor data is greater than or equal to the vibration influence threshold, it is recorded as a humidity anomaly.

[0031] Furthermore, the fault feature set includes a poor contact feature set, an overload feature set, and a condensation feature set. The poor contact feature set includes abnormal temperature, abnormal vibration, and normal humidity. The overload feature set includes abnormal temperature, normal vibration, and normal humidity. The condensation feature set includes normal temperature, normal vibration, and abnormal humidity.

[0032] Based on the fault feature set corresponding to the current monitoring data, generate the corresponding fault command.

[0033] The technical solution provided by this invention has the following advantages compared with the known prior art:

[0034] 1. This invention first determines the temperature monitoring range, thereby clarifying the suitable range for the contact air temperature sensor to indirectly measure the contact surface temperature by measuring the temperature around the contact surface. Then, it determines a suitable installation area based on this range, so as to select the temperature monitoring point with the highest thermal sensitivity index. By determining the location of the temperature monitoring point, the deployment location of the temperature sensor can be clarified, so that the temperature sensor deployed at this location can achieve a stable and efficient temperature anomaly monitoring effect. Compared with the temperature sensor conventionally set on the door, it can simultaneously monitor multiple joints, overcome the dynamic lag and steady-state error of the contact air temperature sensor, and realize timely detection when abnormal heating occurs at any joint.

[0035] 2. This invention can independently evaluate various monitoring data, thereby screening out abnormal data features. This helps to conduct comprehensive evaluation based on the combination of different abnormal data features, and accurately distinguish the causes of failures. Compared with existing technologies that can only identify the data anomalies themselves but cannot analyze the causes, this invention helps staff to remotely identify and diagnose component failures in the plug-in box, thereby enabling prepared operation and maintenance management. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0037] Figure 1 is an overall module block diagram of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0039] The present invention will be further described below with reference to embodiments.

[0040] Referring to Figure 1, a fault identification and diagnosis system driven by multi-dimensional monitoring indicators of bus trunking is applicable to the diagnosis of abnormal heating in plug-in boxes.

[0041] It should be noted that this application applies to busbar trunking with outward extension of the plug-in interface. That is, when the busbar trunking is connected to the plug-in box, the connection point is located inside the plug-in box. In other words, the input and output connection points of the plug-in box (these points are usually fixed with bolts, which makes them more prone to loosening of contact pressure and increased contact resistance) are both located inside the box. In this case, a unified diagnosis can be performed through the diagnostic system inside the box.

[0042] At least including:

[0043] The model building unit designates the plug-in box to be monitored as the target plug-in box and the busbar trunking connected to the target plug-in box as the target busbar trunking. Based on the design drawings of the target plug-in box and the target busbar trunking, corresponding 3D models are built and designated as the plug-in box model and the busbar trunking model, respectively. The connection between the plug-in box model and the busbar trunking model is simulated in 3D software (such as SolidWorks or UG), and the overall 3D model after connection is designated as the connection model. The internal space of the box in the connection model is designated as the monitoring space. The conductor contact surfaces (the contact surfaces of terminals and pins or copper bars) of the plug-in box model and the busbar trunking model are marked in the monitoring space and designated as the current connection surfaces. The opening outline of the plug-in box is marked in the monitoring space.

[0044] Specifically, the opening outline refers to the outline of the front opening, back opening, and bottom opening of the plug box. Generally, the plug box includes three openings: the front opening is used to install the box cover or door, the back opening is used to connect to the busbar trunking, and the bottom opening is used for the output cable to pass through.

[0045] By constructing a 3D model to simulate the connection between the plug-in box and the busbar trunking, the connection status of the plug-in box and the busbar trunking can be observed more clearly, the contact surfaces and connection tools related to connection stability can be identified, and the main objectives of fault identification and diagnosis can be clarified. Compared with the overall monitoring in the existing technology, the target of fault monitoring is focused from the surface to the point, improving the monitoring efficiency.

[0046] It should be noted that both the busbar trunking and the plug-in box are modular designs, so their shapes and structures are consistent with the corresponding design drawings (although the designs of different busbar trunking and plug-in boxes may differ, they can all be represented by 3D models). In other words, the connection between the plug-in box and the busbar trunking can be simulated using 3D models.

[0047] The multi-dimensional monitoring unit constructs a three-dimensional coordinate system, in which the connection model and current connection surface are represented. The location of temperature monitoring points is determined based on the position distribution of the current connection surface, and temperature sensors are set at the temperature monitoring points. Humidity sensors are set on the inner wall of the plug box away from the opening outline, and vibration sensors are set on the inner wall of the plug box near the current connection surface.

[0048] Specifically, the process for determining the location of temperature monitoring points is as follows:

[0049] Using the center point of the current connection surface as the positioning coordinate and recording it as the positioning point (the number is 5, and they are all in the same plane), multiple mounting surfaces in the connection model are selected. The mounting surface refers to the plane that can be used to install the sensor (usually corresponding to the inner wall of the box or the outer shell of the circuit breaker). Multiple positioning spheres are constructed with the positioning point as the center and the preset temperature monitoring range as the radius. The mounting surface that intersects with multiple positioning spheres is selected and recorded as the target mounting surface. The target mounting surface refers to the mounting surface whose distance from the contact surface is suitable for installing the sensor (other mounting surfaces are too far away, which will cause a decrease in the temperature measurement sensitivity of the temperature sensor).

[0050] It should be noted that a decrease in contact pressure at the current connection surface will lead to a reduction in the contact area, which in turn will increase the contact resistance. According to Joule's law, the increase in resistance will cause abnormal heating of the contact surface. Therefore, when a poor contact fault occurs in the plug box, the most likely manifestation is abnormal temperature of the contact surface.

[0051] The sum of the areas where each target mounting surface intersects with multiple positioning spheres is calculated and recorded as the evaluation value. The target mounting surface with the largest evaluation value is selected and recorded as the final mounting surface. A Cartesian coordinate system that coincides with the final mounting surface is constructed and recorded as the reference coordinate system. The thermal induction index of the corresponding point is calculated based on the distance between any point in the reference coordinate system and multiple current connection surfaces. The point with the largest thermal induction index is selected and recorded as the temperature monitoring point.

[0052] It should be noted that by determining the location of the temperature monitoring point, the deployment location of the temperature sensor can be clearly defined, enabling the temperature sensor deployed at that location to achieve a stable and efficient temperature anomaly monitoring effect. Compared with the temperature sensor set on the door in the existing technology, it can simultaneously monitor multiple joint parts, and can promptly detect and upload data when any joint part shows abnormal heating.

[0053] More specifically, the process for obtaining the temperature monitoring range is as follows:

[0054] A contact-type air temperature sensor is pre-set as the test sensor. A heat source is placed near the test sensor and a temperature sensing test is performed. The distance between the heat source and the test sensor is recorded as the interval distance, and the temperature measured by the test sensor is recorded as the test temperature.

[0055] First, control the heat source temperature to rise to the first test temperature and maintain it until the test temperature stabilizes, which is recorded as the first time point. Then, control the heat source temperature to gradually rise to the second test temperature and maintain it until the test temperature stabilizes, which is recorded as the second time point. Plot the curve of heat source temperature changing with time and the curve of test temperature changing with time.

[0056] The area of ​​the closed contour between the heat source temperature change curve and the test temperature change curve over time is calculated and recorded as the offset influence value. The offset influence value is then bound to the corresponding interval distance.

[0057] Adjust the interval distance to conduct multiple temperature sensing tests and record the offset impact value corresponding to each interval distance. There is a preset offset impact threshold (which is specifically set by staff based on experience). The maximum value of the interval distance with an offset impact value less than or equal to the offset impact threshold is selected and recorded as the temperature monitoring range.

[0058] It should be noted that the accuracy of air temperature sensor measurements is primarily affected by dynamic hysteresis (the sensor needs more time to respond to changes in heat source temperature) and steady-state error (in a steady state, the sensor cannot reach the true temperature of the heat source, resulting in a lower measured value). The offset effect is influenced by the sensor's response hysteresis and the temperature difference; therefore, a larger offset effect means lower sensitivity of the air temperature sensor at that measurement distance. By determining the temperature monitoring range, the suitable range for a contact-type air temperature sensor to indirectly measure the contact surface temperature by measuring the temperature around the contact surface can be identified. Setting the air temperature sensor within this range ensures measurement sensitivity.

[0059] More specifically, the calculation process for the thermal sensitivity index is as follows:

[0060] Using the current connection surface as a reference, extend the conductor portion of the connection model to both sides and denote it as the heating part (the current connection surface extends to both sides to form a rectangular space, and the conductor portion located in the rectangular space is the heating part). Bind the heating part to the corresponding current connection surface. Each current connection surface corresponds to one heating part. Construct a plane parallel to the final mounting surface and at a distance equal to the preset mounting height, and denote it as the probe reference surface. Denote any point in the probe reference surface as the test point. Bind the test point to its projection point in the reference coordinate system. Calculate the influence index of each heating part at the test point based on the positional relationship between the heating part and the test point. Calculate the sum of the influence indices of multiple heating parts and denote it as the thermal induction index of the test point.

[0061] It should be noted that abnormal heat generation on the contact surface will eventually be conducted to the conductors on both sides. Therefore, when a poor contact fault actually occurs, it manifests as abnormal temperature rise on the contact surface and the conductors on both sides. For example, if a pin and a terminal make poor contact due to loose fastening bolts, the resulting abnormal heat generation will manifest as excessively high temperatures at the pin and terminal.

[0062] By extracting the heat-generating part as a physical model representing the abnormal heating of the current connection surface, the impact of heating at different locations on the temperature sensor's sensing can be simulated more realistically (in actual heating, the conductors on both sides of the contact surface usually heat up), which helps to select temperature sensor installation points that can capture abnormal temperatures of multiple heat-generating parts.

[0063] Furthermore, the calculation process for the influence index is as follows:

[0064] A temperature propagation line is obtained by connecting the point to be measured with the corresponding positioning point of the heating part. A plane perpendicular to the temperature propagation line is drawn through the point to be measured and is called the temperature propagation surface. The direct projection area of ​​the heating part on the temperature propagation surface is called the effective projection profile. There are no objects obstructing the effective projection profile and the heating part. The area value of the effective projection profile is called the influence area. The shortest distance between the heating part and the point to be measured is called the influence distance. The influence index is directly proportional to the influence area and inversely proportional to the influence distance.

[0065] Specifically, the formula for calculating the influence index is as follows: ,in:

[0066] The influence index represents the relative area of ​​the heat-generating part and the distance between it and the measurement point, where k is a preset constant coefficient, S represents the area of ​​influence, and d represents the distance of influence. The influence index reflects the impact of the relative area of ​​the heat-generating part and the distance between it and the measurement point on the temperature value monitored by the temperature sensor. Generally, the larger the area of ​​influence (that is, the area of ​​the heat-generating part facing the sensor without any obstruction) and the smaller the distance of influence, the more heat is conducted to the temperature sensor probe, and the more accurate the temperature sensor response will be.

[0067] More specifically, the coordinates of the installation indicator are determined based on the location of the temperature monitoring point, where:

[0068] Mark the temperature monitoring point and its final installation surface in the connection model, obtain the overall outline of the final installation surface and record it as the installation surface outline, and record the multiple straight lines that make up the installation surface outline as outline edge lines (usually corresponding to the edge lines of structural components). Select two outline edge lines that are perpendicular to each other as the horizontal axis and vertical axis of the coordinate system and record it as the positioning coordinate system. Determine the coordinates of the temperature monitoring point in the positioning coordinate system and record them as the installation indication coordinates.

[0069] It should be noted that by determining the installation indicator coordinates, the position coordinates of the temperature monitoring point relative to the outline edge line can be clearly indicated, thereby assisting the staff in locating the specific position of the temperature monitoring point according to the edge line of the structural component, which helps to improve the efficiency of the actual installation process.

[0070] The fault monitoring unit has multiple preset fault feature sets, each of which corresponds to a fault command. Based on the monitoring data from temperature sensors, humidity sensors, and vibration sensors, the unit compares and analyzes the fault feature sets to determine the type of fault that has occurred and generates the corresponding fault command.

[0071] Specifically, there are preset thresholds for temperature, humidity, and vibration. When the temperature sensor data is greater than or equal to the temperature threshold, it is recorded as a temperature anomaly. When the humidity sensor data is greater than or equal to the humidity threshold, it is recorded as a humidity anomaly. When the vibration sensor data is greater than or equal to the vibration threshold, it is recorded as a humidity anomaly.

[0072] By setting corresponding impact thresholds, each monitoring data point can be independently evaluated, thereby filtering out abnormal data features. This helps to conduct a comprehensive assessment based on combinations of different abnormal data features and pinpoint the cause of the fault.

[0073] The fault feature set includes a poor contact feature set, an overload feature set, and a condensation feature set. The poor contact feature set includes abnormal temperature, abnormal vibration, and normal humidity. The overload feature set includes abnormal temperature, normal vibration, and normal humidity. The condensation feature set includes normal temperature, normal vibration, and abnormal humidity. Based on the fault feature set corresponding to the current monitoring data, the corresponding fault command is generated.

[0074] By combining different fault feature sets and integrating different abnormal data features for analysis, the causes of faults can be accurately distinguished. Compared with existing technologies that can only identify the data anomalies themselves but cannot analyze the causes, this helps staff to remotely identify and diagnose component faults in the plug-in box, thereby enabling them to carry out operation and maintenance management in a prepared manner.

[0075] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps in the above method.

[0076] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking, characterized in that, include: The model building unit constructs a connection model of the plug-in box and the busbar trunking. The internal space of the box within the connection model is designated as the monitoring space. The conductor contact surfaces of the plug-in box and busbar trunking models are marked within the monitoring space and designated as current connection surfaces. The opening outline of the plug-in box is also marked within the monitoring space. The multi-dimensional monitoring unit represents the connection model and current connection surfaces in a three-dimensional coordinate system. Based on the positional distribution of the current connection surfaces, the locations of temperature monitoring points are determined, and temperature sensors are installed at these points. Specifically, the target mounting surfaces are selected based on the temperature monitoring range of the temperature sensors. The thermal induction index of each point is calculated based on the positional relationship between the current connection surfaces and their corresponding conductors and each point on the target mounting surface. The point with the highest thermal induction index is selected as the temperature monitoring point. The process for determining the temperature monitoring point location is as follows: The center point of the current connection surface is used as the positioning coordinate and designated as the positioning point. Multiple mounting surfaces in the connection model are selected. Multiple positioning spheres are constructed with the positioning point as the center and the preset temperature monitoring range as the radius. The locations of these positioning spheres are then selected. The mounting surfaces where all spheres intersect are denoted as target mounting surfaces. The sum of the areas of intersection between each target mounting surface and multiple positioning spheres is calculated and recorded as the evaluation value. The target mounting surface with the largest evaluation value is selected and recorded as the final mounting surface. A Cartesian coordinate system coinciding with the final mounting surface is constructed and recorded as the reference coordinate system. The thermal induction index of the corresponding point is calculated based on the distance between any point in the reference coordinate system and multiple current connection surfaces. The point with the largest thermal induction index is selected and recorded as the temperature monitoring point. The thermal induction index calculation process is as follows: Extending the current connection surface to both sides and cutting off the conductor part in the connection model as the heating part, the heating part is bound to the corresponding current connection surface. A plane parallel to the final mounting surface and at a distance equal to the preset mounting height is drawn and recorded as the probe reference surface. Any point in the probe reference surface is recorded as the point to be measured, and the point to be measured is bound to its projection point in the reference coordinate system. The influence index of each heating part at the point to be measured is calculated based on the positional relationship between the heating part and the point to be measured. The sum of the influence indices of multiple heating parts is recorded as the thermal induction index of the point to be measured. The influence index calculation process is as follows: A temperature propagation line is obtained by connecting the test point with the corresponding location point of the heating element. A plane perpendicular to the temperature propagation line is drawn through the test point and recorded as the temperature propagation surface. The direct projection area of ​​the heating element on the temperature propagation surface is recorded as the effective projection contour. There are no objects obstructing the effective projection contour from the heating element. The area value of the effective projection contour is recorded as the influence area. The shortest distance between the heating element and the test point is recorded as the influence distance. The influence index is directly proportional to the influence area and inversely proportional to the influence distance. A humidity sensor is installed on the inner wall of the plug-in box away from the opening contour line, and a vibration sensor is installed on the inner wall of the plug-in box near the current connection surface. A fault monitoring unit has multiple preset fault feature sets, each corresponding to a fault command. Based on the monitoring data from the temperature sensor, humidity sensor, and vibration sensor, the fault feature sets are compared and analyzed to determine the current fault type and generate the corresponding fault command.

2. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 1, characterized in that, The opening outline refers to the outline of the front opening, back opening, and bottom opening of the plug box.

3. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 1, characterized in that, The temperature monitoring range acquisition process is as follows: A temperature sensor for testing is preset and denoted as the test sensor. A heat source is placed near the test sensor and a temperature sensing test is performed. The distance between the heat source and the test sensor is denoted as the interval distance, and the temperature measured by the test sensor is denoted as the test temperature. First, the heat source temperature is controlled to rise to the first test temperature and held until the test temperature stabilizes, which is denoted as the first time node. Then, the heat source temperature is controlled to gradually rise to the second test temperature and held until the test temperature stabilizes, which is denoted as the second time node. The curves of heat source temperature change over time and test temperature change over time are plotted. The area of ​​the closed contour between the curves of heat source temperature change over time and test temperature change over time is calculated and denoted as the offset influence value. The offset influence value is bound to the corresponding interval distance. The interval distance is adjusted to perform multiple temperature sensing tests, and the offset influence value corresponding to each interval distance is recorded. An offset influence threshold is preset, and the maximum value of the interval distance with an offset influence value less than or equal to the offset influence threshold is selected and denoted as the temperature monitoring range.

4. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 3, characterized in that, The influence index is equal to the square root of the area affected, multiplied by a preset constant coefficient, and divided by the distance affected.

5. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 1, characterized in that, The installation indication coordinates are determined based on the location of the temperature monitoring point, wherein: the temperature monitoring point and its final installation surface are marked in the connection model, the overall outline of the final installation surface is obtained and recorded as the installation surface outline, the multiple straight lines that make up the installation surface outline are recorded as outline edge lines, the two mutually perpendicular outline edge lines are selected as the horizontal axis and the vertical axis of the coordinate system and recorded as the positioning coordinate system, and the coordinates of the temperature monitoring point are determined in the positioning coordinate system as the installation indication coordinates.

6. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 1, characterized in that, There are preset thresholds for temperature, humidity, and vibration. When the temperature sensor data is greater than or equal to the temperature threshold, it is recorded as a temperature anomaly. When the humidity sensor data is greater than or equal to the humidity threshold, it is recorded as a humidity anomaly. When the vibration sensor data is greater than or equal to the vibration threshold, it is recorded as a humidity anomaly.

7. The fault identification and diagnosis system driven by multi-dimensional monitoring indicators for busbar trunking according to claim 6, characterized in that, The fault feature set includes the poor contact feature set, the overload feature set, and the condensation feature set. The poor contact feature set includes abnormal temperature, abnormal vibration, and normal humidity. The overload feature set includes abnormal temperature, normal vibration, and normal humidity. The condensation feature set includes normal temperature, normal vibration, and abnormal humidity. Based on the fault feature set corresponding to the current monitoring data, generate the corresponding fault command.

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