Method for monitoring running state of bus duct

Abstract

The invention discloses a method for monitoring the running state of a bus duct, relates to the technical field of state monitoring of power equipment, and aims to overcome the defects of misjudgment and low maintenance efficiency caused by the fact that only an overheating phenomenon can be reported and a fault source cannot be positioned in an existing bus duct monitoring method. The method comprises the following steps: acquiring temperature, current and timestamp data at each monitoring point of the bus duct and associating logic position identifiers; when the temperature exceeds a safety threshold value, local overheat points are marked, and root analysis is triggered; historical data of upstream and downstream monitoring points are called, and temperature rise trend starting time, current abrupt change starting time and logic conductivity are calculated; reasoning and judging a fault source in combination with the parameters; and finally, generating a diagnosis conclusion containing the fault position and reason and outputting the diagnosis conclusion to a monitoring interface to realize accurate fault positioning.

Description

Technical Field

[0001] This invention relates to the field of power equipment condition monitoring technology, specifically a method for monitoring the operating status of busbar trunking. Background Technology

[0002] In the field of busbar trunking operation status monitoring, real-time temperature monitoring is a core means of diagnosing its health status and preventing fire risks. Existing technologies generally deploy temperature sensors at key connection points of the busbar trunking and set temperature thresholds to achieve overheating alarms. When the temperature value detected by a sensor exceeds a preset safety threshold, the system triggers an alarm, indicating an overheating fault at that specific location.

[0003] However, this monitoring method based on single-point threshold judgment has a fundamental flaw: it cannot distinguish between the "root cause" and the "symptom" of a fault, specifically manifested as a "spatiotemporal mismatch" problem in the monitoring data. A busbar is a continuous conductor from the power source to the load. Its physical electrical connection and thermal conduction characteristics mean that the thermal state of one point directly affects the associated upstream and downstream sections. Therefore, a temperature anomaly at one location (denoted as point B) may actually originate from a fault at another location electrically upstream (denoted as point A).

[0004] Existing systems, which only focus on instantaneous data from local sensors, lack the logical analysis capability to understand the spatiotemporal correlation of data within the system topology. This can lead to misjudgments. For example, the system alarm indicates that point B is overheating, but maintenance personnel find that the connection is intact after arriving at point B, wasting maintenance time and manpower. Meanwhile, the actual fault point A is not identified by the system because its temperature has not yet reached the alarm threshold or because its sensor has failed to effectively capture local hotspots, causing the hidden danger to persist and potentially worsen.

[0005] In layman's terms, this is like a downstream monitoring station (point B) detecting an increase in water temperature and issuing a pollution alarm in a flowing river, but the actual source of pollution is a hidden sewage outlet located upstream (point A). Current technology can only report "downstream water temperature exceeds the standard," but cannot deduce "pollution comes from upstream," making remediation efforts much less effective.

[0006] Therefore, existing busbar temperature monitoring systems are essentially "phenomenon reporting systems" rather than "root cause diagnosis systems." Their deeper technical bottleneck lies in the fact that the data flow within the system is isolated and static, failing to logically correlate data from different locations and time points, thus making it impossible to reconstruct the true propagation path of faults in physical space and time series. This "spatiotemporal mismatch" problem severely restricts the accuracy of condition monitoring and the efficiency of operation and maintenance.

[0007] To address the above problems, this invention proposes a method for monitoring the operating status of busbar trunking. Summary of the Invention

[0008] The purpose of this invention is to provide a method for monitoring the operating status of busbar trunking, so as to solve the problems mentioned in the prior art.

[0009] To achieve the above objectives, the present invention provides the following technical solution: A method for monitoring the operating status of busbar trunking includes the following steps: S1. Collect operating data including temperature value, current value and timestamp at each monitoring point of the bus trunking, and associate it with its logical position identifier in the electrical topology of the bus trunking. S2. When the real-time temperature value of any monitoring point exceeds its preset safety threshold, the point is determined to be a local hot spot and the root cause analysis process is triggered. S3. Based on the electrical topology, determine the upstream and downstream adjacent monitoring points of the local overheating hot spot, and retrieve the historical temperature and current data sequence of these associated points within a preset time period before the overheating trigger. S4. Analyze the historical temperature and current data sequences of the local overheating point and its upstream and downstream related points, calculate the specific moment when the temperature value of each monitoring point first deviates from its historical baseline level, and record it as the start time of the temperature rise trend; at the same time, identify the specific moment when the current data first exceeds the fluctuation threshold range, and record it as the start time of the current change. S5. Based on the order of the start times of the temperature rise trend, the logical transmission rate of the temperature trend between adjacent monitoring points of the busbar is obtained by calculating the difference between the start times of the upstream and downstream points. S6. Based on the order of the starting time of the temperature rise trend and the positive and negative values ​​of the logic conductance, combined with the order of the starting time of the current change at each monitoring point and the fluctuation amplitude, reasoning is performed to determine the root cause of the fault. S7. Based on the logical reasoning results of the fault root cause, generate a diagnostic conclusion that indicates the location of the suspected fault point and its cause, and output the conclusion to the monitoring interface.

[0010] S1 further includes the following: At monitoring points set up on the busbar trunking body, its connectors, and plug-in boxes, the conductor temperature value, the current value flowing through the conductor, and the time point at which the temperature and current values ​​were collected are simultaneously collected and recorded as timestamps. In the system data structure, the collected temperature value, current value and timestamp are associated and bound with the logical location identifier corresponding to the monitoring point. The logical location identifier associated with it in the electrical topology of the busbar refers to the unique logical location identifier assigned to each monitoring point; The logical location identifier is a sequence number defined based on the overall electrical connection path of the bus trunking, used to logically represent the positional order of this monitoring point relative to the power supply start point and load end point in the entire bus trunking system.

[0011] S2 further includes the following: The system continuously collects real-time temperature data from each monitoring point of the bus trunking and compares it with the preset safety threshold for each monitoring point. When the real-time temperature value of any monitoring point is determined to be greater than its corresponding preset safety threshold, the system marks this monitoring point as a local hot spot. While marking local hotspots, the system triggers an analysis process to locate the root cause of the fault. After the process is triggered, the system's operation mode changes from routine status monitoring to cause diagnosis mode targeting the local hotspot and its related links.

[0012] S3 further includes the following: Based on the busbar electrical topology constructed according to the logical location identifiers defined for each monitoring point, taking the currently marked local hot spot as the reference, find the monitoring point immediately preceding it with the logical location number and define it as the upstream monitoring point; find the monitoring point immediately following it with the logical location number and define it as the downstream monitoring point. The system uses the moment when it determines a local overheating point and triggers the root cause analysis process as the time reference point. It retrieves continuous historical data of the upstream and downstream adjacent monitoring points of the local overheating point for a preset time period before this time reference point. The retrieved data sequence includes all historical temperature data and all historical current data of each monitoring point within this time period.

[0013] S4 further includes the following: For each local overheating point and its upstream and downstream related monitoring points, the historical temperature baseline level is calculated based on all historical temperature data of the monitoring point within the preset time period and before the overheating trigger time; the historical temperature baseline level is the arithmetic mean of all temperature values ​​within this time period. According to the timestamps from morning to night, each temperature value at the monitoring point is determined to be greater than the historical temperature baseline level; when the first temperature value is determined to be greater than the historical temperature baseline level, the timestamp corresponding to the temperature value is recorded as the starting time of the temperature rise trend at the monitoring point. For the start time of current change, for each of the local overheating hot spots and its upstream and downstream related monitoring points, the current fluctuation threshold range is calculated based on all historical current data of the monitoring point within the preset time period and at the overheating trigger time. The upper limit of the current threshold fluctuation range is the arithmetic mean of all current values ​​within that time period plus three times the standard deviation, calculated as follows: Upper limit = Ia + 3ơ; The lower limit of this range is the arithmetic mean minus three standard deviations, calculated as follows: Lower limit value = Ia - 3ơ; Wherein, Ia represents the arithmetic mean of all historical current data of the monitoring point within the time period; ơ represents the statistical measure of the dispersion of all historical current data of the monitoring point relative to its arithmetic mean Ia within the time period. According to the timestamps from morning to evening, each current value at the monitoring point is determined one by one to see whether it is greater than the upper limit of the current fluctuation threshold range or less than the lower limit of the current fluctuation range. When the first current value is identified as exceeding the upper / lower limit of the current fluctuation threshold range, the timestamp corresponding to the current value is recorded as the start time of the current change at the monitoring point.

[0014] S5 further includes the following: For each pair of monitoring points formed by a local overheated spot and its directly adjacent monitoring points, calculate its logic conductance using the following formula: Logical transmission rate = Starting time of temperature rise trend at downstream monitoring points - Starting time of temperature rise trend at upstream monitoring points; The logic conductance rate characterizes the time difference characteristic of the temperature rise trend being transmitted in this section of the busbar. The monitoring point pairs include point pairs consisting of upstream monitoring points and local overheating points, as well as point pairs consisting of local overheating points and downstream monitoring points; The starting time of the temperature rise trend at the upstream and downstream monitoring points refers to the specific timestamp value corresponding to the starting time of the temperature rise trend calculated in S4 for the monitoring points located at the upstream and downstream logical positions in the currently calculated monitoring point pair.

[0015] S6 further includes the following: Based on the positive and negative characteristics of logic conductivity, the sequential relationship between the start time of temperature rise trend and the start time of current change at each monitoring point, and the specific direction and amplitude of current data exceeding the fluctuation threshold, the root cause of the fault is inferred and determined. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is positive, and the current change start time of the local overheating point is not earlier than the current change start time of its upstream monitoring point, and the current data fluctuation amplitude of each monitoring point is within the preset normal working range, then the root cause of the fault is determined to be located at the upstream connection of the local overheating point. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is negative, and the temperature rise trend of the local overheating point starts earlier than the temperature rise trend start time of all related monitoring points upstream and downstream, and its current change start time is earlier than / synchronous with all related monitoring points, then the root cause of the fault is determined to be the local overheating point itself. If the logic conduction rate of the point pair formed by the local overheating point and its downstream monitoring point is negative, and the start time of the current change of the local overheating point is basically synchronized with the start time of the current change of the downstream monitoring point, and the fluctuation amplitude of the current data shows a decreasing characteristic from the downstream monitoring point to the local overheating point, then the root cause of the fault is determined to be caused by the current change of the downstream load. The positive or negative value of the logic conduction rate indicates the logical relationship of the temperature rise trend being transmitted sequentially in adjacent sections of the busbar trunking. The fluctuation amplitude refers to the specific numerical value of the deviation of the current value from the upper / lower limit of the current fluctuation threshold range when the current data is first detected to exceed the fluctuation threshold range.

[0016] S7 further includes the following: Based on the fault root cause type and its corresponding specific location determined in S6, when the fault is determined to be an upstream connection fault, the conclusion indicates poor contact of the upstream connector and its specific location. When the fault is determined to be local, the conclusion indicates that the local connection point is abnormal and its specific location is marked. When the cause is determined to be a sudden change in downstream load current, the conclusion indicates the location of the downstream monitoring point that caused the temperature rise due to the sudden change in downstream load current. Based on the above judgment results, a diagnostic conclusion text containing fault location and cause analysis is generated; The generated diagnostic conclusion text is transmitted to the monitoring system's display interface in real time for visualization, and the conclusion is also associated with and stored in relation to the corresponding local hot spot alarm record.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention analyzes the temporal correlation between temperature and current data in the electrical topology of busbar trunking, which can effectively distinguish between the root cause and the manifestation of a fault. It elevates alarm information from overheating at a certain point to a more precise conclusion such as a fault at an upstream connection point causing downstream overheating or a local fault, guiding maintenance personnel to directly address the root cause of the problem and greatly improving maintenance efficiency and accuracy.

[0018] 2. By calculating the starting time of the temperature rise trend and the logical conduction rate, this invention reconstructs the propagation path of the fault in the physical space and time series of the bus trunking, overcoming the shortcomings of existing technologies that cannot correlate upstream and downstream state changes due to isolated and static data, thereby avoiding misjudgment and omission of hidden dangers. Attached Figure Description

[0019] Figure 1 This is a flowchart of a method for monitoring the operating status of a busbar trunking according to the present invention. Detailed Implementation

[0020] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example: Figure 1 As shown, the present invention provides a technical solution. A method for monitoring the operating status of busbar trunking includes the following steps: S1. Collect operating data including temperature value, current value and timestamp at each monitoring point of the bus trunking, and associate it with its logical position identifier in the electrical topology of the bus trunking. S2. When the real-time temperature value of any monitoring point exceeds its preset safety threshold, the point is determined to be a local hot spot and the root cause analysis process is triggered. S3. Based on the electrical topology, determine the upstream and downstream adjacent monitoring points of the local overheating hot spot, and retrieve the historical temperature and current data sequence of these associated points within a preset time period before the overheating trigger. S4. Analyze the historical temperature and current data sequences of the local overheating point and its upstream and downstream related points, calculate the specific moment when the temperature value of each monitoring point first deviates from its historical baseline level, and record it as the start time of the temperature rise trend; at the same time, identify the specific moment when the current data first exceeds the fluctuation threshold range, and record it as the start time of the current change. S5. Based on the order of the start times of the temperature rise trend, the logical transmission rate of the temperature trend between adjacent monitoring points of the busbar is obtained by calculating the difference between the start times of the upstream and downstream points. S6. Based on the order of the starting time of the temperature rise trend and the positive and negative values ​​of the logic conductance, combined with the order of the starting time of the current change at each monitoring point and the fluctuation amplitude, reasoning is performed to determine the root cause of the fault. S7. Based on the logical reasoning results of the fault root cause, generate a diagnostic conclusion that indicates the location of the suspected fault point and its cause, and output the conclusion to the monitoring interface.

[0022] S1 further includes the following: At monitoring points set up on the busbar trunking body, its connectors, and plug-in boxes, the conductor temperature value, the current value flowing through the conductor, and the time point at which the temperature and current values ​​were collected are simultaneously collected and recorded as timestamps. In the system data structure, the collected temperature value, current value and timestamp are associated and bound with the logical location identifier corresponding to the monitoring point. The logical location identifier associated with it in the electrical topology of the busbar refers to the unique logical location identifier assigned to each monitoring point; The logical location identifier is a sequence number defined based on the overall electrical connection path of the bus trunking, used to logically represent the positional order of this monitoring point relative to the power supply start point and load end point in the entire bus trunking system.

[0023] S2 further includes the following: The system continuously collects real-time temperature data from each monitoring point of the bus trunking and compares it with the preset safety threshold for each monitoring point. When the real-time temperature value of any monitoring point is determined to be greater than its corresponding preset safety threshold, the system marks this monitoring point as a local hot spot. While marking local hotspots, the system triggers an analysis process to locate the root cause of the fault. After the process is triggered, the system's operation mode changes from routine status monitoring to cause diagnosis mode targeting the local hotspot and its related links.

[0024] S3 further includes the following: Based on the busbar electrical topology constructed according to the logical location identifiers defined for each monitoring point, taking the currently marked local hot spot as the reference, find the monitoring point immediately preceding it with the logical location number and define it as the upstream monitoring point; find the monitoring point immediately following it with the logical location number and define it as the downstream monitoring point. The system uses the moment when it determines a local overheating point and triggers the root cause analysis process as the time reference point. It retrieves continuous historical data of the upstream and downstream adjacent monitoring points of the local overheating point for a preset time period before this time reference point. The retrieved data sequence includes all historical temperature data and all historical current data of each monitoring point within this time period.

[0025] S4 further includes the following: For each local overheating point and its upstream and downstream related monitoring points, the historical temperature baseline level is calculated based on all historical temperature data of the monitoring point within the preset time period and before the overheating trigger time; the historical temperature baseline level is the arithmetic mean of all temperature values ​​within this time period. According to the timestamps from morning to night, each temperature value at the monitoring point is determined to be greater than the historical temperature baseline level; when the first temperature value is determined to be greater than the historical temperature baseline level, the timestamp corresponding to the temperature value is recorded as the starting time of the temperature rise trend at the monitoring point. For the start time of current change, for each of the local overheating hot spots and its upstream and downstream related monitoring points, the current fluctuation threshold range is calculated based on all historical current data of the monitoring point within the preset time period and at the overheating trigger time. The upper limit of the current threshold fluctuation range is the arithmetic mean of all current values ​​within that time period plus three times the standard deviation, calculated as follows: Upper limit = Ia + 3ơ; The lower limit of this range is the arithmetic mean minus three standard deviations, calculated as follows: Lower limit value = Ia - 3ơ; Wherein, Ia represents the arithmetic mean of all historical current data of the monitoring point within the time period; ơ represents the statistical measure of the dispersion of all historical current data of the monitoring point relative to its arithmetic mean Ia within the time period. According to the timestamps from morning to evening, each current value at the monitoring point is determined one by one to see whether it is greater than the upper limit of the current fluctuation threshold range or less than the lower limit of the current fluctuation range. When the first current value is identified as exceeding the upper / lower limit of the current fluctuation threshold range, the timestamp corresponding to the current value is recorded as the start time of the current change at the monitoring point.

[0026] S5 further includes the following: For each pair of monitoring points formed by a local overheated spot and its directly adjacent monitoring points, calculate its logic conductance using the following formula: Logical transmission rate = Starting time of temperature rise trend at downstream monitoring points - Starting time of temperature rise trend at upstream monitoring points; The logic conductance rate characterizes the time difference characteristic of the temperature rise trend being transmitted in this section of the busbar. The monitoring point pairs include point pairs consisting of upstream monitoring points and local overheating points, as well as point pairs consisting of local overheating points and downstream monitoring points; The starting time of the temperature rise trend at the upstream and downstream monitoring points refers to the specific timestamp value corresponding to the starting time of the temperature rise trend calculated in S4 for the monitoring points located at the upstream and downstream logical positions in the currently calculated monitoring point pair.

[0027] S6 further includes the following: Based on the positive and negative characteristics of logic conductivity, the sequential relationship between the start time of temperature rise trend and the start time of current change at each monitoring point, and the specific direction and amplitude of current data exceeding the fluctuation threshold, the root cause of the fault is inferred and determined. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is positive, and the current change start time of the local overheating point is not earlier than the current change start time of its upstream monitoring point, and the current data fluctuation amplitude of each monitoring point is within the preset normal working range, then the root cause of the fault is determined to be located at the upstream connection of the local overheating point. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is negative, and the temperature rise trend of the local overheating point starts earlier than the temperature rise trend start time of all related monitoring points upstream and downstream, and its current change start time is earlier than / synchronous with all related monitoring points, then the root cause of the fault is determined to be the local overheating point itself. If the logic conduction rate of the point pair formed by the local overheating point and its downstream monitoring point is negative, and the start time of the current change of the local overheating point is basically synchronized with the start time of the current change of the downstream monitoring point, and the fluctuation amplitude of the current data shows a decreasing characteristic from the downstream monitoring point to the local overheating point, then the root cause of the fault is determined to be caused by the current change of the downstream load. The positive or negative value of the logic conduction rate indicates the logical relationship of the temperature rise trend being transmitted sequentially in adjacent sections of the busbar trunking. The fluctuation amplitude refers to the specific numerical value of the deviation of the current value from the upper / lower limit of the current fluctuation threshold range when the current data is first detected to exceed the fluctuation threshold range.

[0028] S7 further includes the following: Based on the fault root cause type and its corresponding specific location determined in S6, when the fault is determined to be an upstream connection fault, the conclusion indicates poor contact of the upstream connector and its specific location. When the fault is determined to be local, the conclusion indicates that the local connection point is abnormal and its specific location is marked. When the cause is determined to be a sudden change in downstream load current, the conclusion indicates the location of the downstream monitoring point that caused the temperature rise due to the sudden change in downstream load current. Based on the above judgment results, a diagnostic conclusion text containing fault location and cause analysis is generated; The generated diagnostic conclusion text is transmitted to the monitoring system's display interface in real time for visualization, and the conclusion is also associated with and stored in relation to the corresponding local hot spot alarm record.

[0029] A large-scale intelligent manufacturing plant has deployed a 50-meter-long low-voltage busbar power supply system. This system comprises the busbar itself, eight connectors, and four plug-in boxes, providing stable power support for critical equipment on the production line. To accurately monitor the busbar's operating status and quickly pinpoint the root cause of faults, the monitoring method described in this invention is employed. The specific implementation process is as follows: Monitoring points were set up at key locations in the busbar trunking system, including every 5 meters along the busbar trunking itself, both ends of each connector, and the inlet and outlet ends of each plug-in box, for a total of 15 monitoring points. Each monitoring point was assigned a unique logical location identifier, defined as a continuous sequence number based on the overall electrical connection path of the busbar trunking. The logical location identifier for the monitoring point corresponding to the power supply start point was 001, increasing sequentially along the direction from the power supply to the load, with the logical location identifier for the monitoring point corresponding to the load end point being 015. This identifier clearly represents the positional order of each monitoring point relative to the power supply start point and the load end point. Conductor temperature and current values ​​flowing through the conductor were synchronously collected at each monitoring point, and the time of data collection was recorded as a timestamp. The system data structure associates and binds each set of temperature values, current values, and timestamps with the corresponding logical location identifier of the monitoring point, ensuring that the data is traceable to a specific physical location.

[0030] The system continuously compares the real-time temperature data of each monitoring point with the preset safety threshold. The safety threshold for different monitoring points is set according to their working environment and current carrying capacity. The preset safety threshold for the monitoring point with logical location identifier 008 (located downstream of connector 3) is 85℃. At 14:30 on a certain day, the system detected that the real-time temperature value of this monitoring point reached 88℃, exceeding the preset safety threshold. The system then marked this point as a local hot spot and triggered the fault root cause analysis process. The system operation mode switched from normal status monitoring to cause diagnosis mode targeting the local hot spot and related links.

[0031] Based on the busbar electrical topology constructed according to the logical location identifiers of each monitoring point, taking the local overheated spot at logical location identifier 008 as the benchmark, the monitoring point immediately preceding it (logical location identifier 007) is identified as the upstream monitoring point, and the monitoring point immediately following it (logical location identifier 009) is identified as the downstream monitoring point. Using 14:30 (the time when the system triggers the root cause analysis process) as the time reference point, continuous historical data of the local overheated spot (008), the upstream monitoring point (007), and the downstream monitoring point (009) within one hour (preset time period) before the reference point are retrieved. The data sequence includes all historical temperature and current data of the three monitoring points within this time period to ensure the integrity of the analysis sample.

[0032] The historical data from the three monitoring points were processed separately. First, the historical temperature baseline was calculated, which is the arithmetic mean of all temperature values ​​within a preset time period. The calculation showed that the arithmetic mean of the temperature data of the upstream monitoring point (007) within 1 hour was 68℃, the local hot spot (008) was 70℃, and the downstream monitoring point (009) was 71℃. The temperature values ​​of each monitoring point were checked one by one in order of timestamp from morning to evening. The upstream monitoring point (007) first showed a temperature value of 69℃ at 13:43 (timestamp 16200 seconds, with 13:30 as the starting point of the timing), which was greater than its historical baseline level of 68℃. This timestamp was recorded as the starting time of the temperature rise trend of the upstream monitoring point. The local hot spot (008) first showed a temperature value of 71℃ at 13:50 (timestamp 16800 seconds), which was greater than its historical baseline level of 70℃. This was determined as the starting time of the temperature rise trend of this point. The downstream monitoring point (009) first showed a temperature value of 72℃ at 13:55 (timestamp 17100 seconds), which was greater than its historical baseline level of 71℃. This was taken as the starting time of the temperature rise trend of this point.

[0033] For the analysis of the start time of current change, the current fluctuation threshold range within the preset time period of each monitoring point is first calculated. This range is defined by an upper limit and a lower limit, where the upper limit = Ia + 3σ and the lower limit = Ia - 3σ (Ia is the arithmetic mean of the current within the time period, and σ is the statistical measure of the dispersion of the current data relative to Ia). Calculations show that the arithmetic mean current of the upstream monitoring point (007) is Ia=495A, the standard deviation is σ=9A, and the upper limit of its current fluctuation threshold range is 495+3×9=522A, and the lower limit is 495-3×9=468A; the arithmetic mean current of the local hot spot (008) is Ia=500A, the standard deviation is σ=10A, and the upper limit of its threshold range is 500+3×10=530A, and the lower limit is 500-3×10=470A; the arithmetic mean current of the downstream monitoring point (009) is Ia=505A, the standard deviation is σ=11A, and the upper limit of its threshold range is 505+3×11=538A, and the lower limit is 505-3×11=472A. The current values ​​were checked in the order of the timestamps. The upstream monitoring point (007) first showed a current value of 523A at 13:41 (timestamp 16080 seconds), which exceeded the upper limit of 522A. This timestamp was recorded as the start time of the current change. The local hot spot (008) first showed a current value of 531A at 13:48 (timestamp 16680 seconds), which exceeded the upper limit of 530A. This was determined as the start time of the current change at this point. The downstream monitoring point (009) first showed a current value of 539A at 13:53 (timestamp 16980 seconds), which exceeded the upper limit of 538A. This was taken as the start time of the current change at this point.

[0034] Based on the starting time of the temperature rise trend at each monitoring point, the logical transmission rate of adjacent monitoring point pairs is calculated. The logical transmission rate = the starting time of the temperature rise trend at the downstream monitoring point - the starting time of the temperature rise trend at the upstream monitoring point, which is used to characterize the time difference characteristics of the temperature rise trend transmission in adjacent busbar sections. Among them, the upstream monitoring point (007) and the local hot spot (008) constitute the first monitoring point pair, and their logical transmission rate = 16800 seconds - 16200 seconds = 600 seconds; the local hot spot (008) and the downstream monitoring point (009) constitute the second monitoring point pair, and their logical transmission rate = 17100 seconds - 16800 seconds = 300 seconds. Through these two logical transmission rate values, the time pattern of the temperature rise trend transmission from the upstream monitoring point to the local hot spot, and then to the downstream monitoring point can be clearly reflected.

[0035] The fault root cause was inferred by combining the positive and negative characteristics of the logic conductance, the relationship between the temperature rise trend and the start time of the current mutation at each monitoring point, and the current fluctuation amplitude. The logic conductance of the first monitoring point pair (007 and 008) is 600 seconds (positive value), indicating that the temperature rise trend is transmitted from the upstream monitoring point (007) to the local overheated spot (008); the start time of the current mutation at the local overheated spot (008) (16680 seconds) is no earlier than the start time of the current mutation at the upstream monitoring point (007) (16080 seconds); at the same time, the current data fluctuation amplitude at the three monitoring points is within the preset normal operating range (the fluctuation amplitude does not exceed 10% of the upper limit of the threshold), which meets the judgment condition of the upstream connection fault. Therefore, it is determined that the fault root cause is located at the upstream connection of the local overheated spot (008), that is, connector No. 3 between the logic location markers 007 and 008.

[0036] Based on the fault root cause determination, a clear diagnostic conclusion text was generated: "Connector No. 3 between logical location identifiers 007 and 008 has a poor contact problem, causing an abnormal temperature rise in the local overheated spot (008). It is recommended to immediately repair this connector." The system transmits this diagnostic conclusion to the display interface of the factory power monitoring center in real time for visualization, and simultaneously links and stores the conclusion with the corresponding local overheated spot alarm record for easy subsequent traceability and data analysis. Maintenance personnel went directly to the designated location to carry out repairs based on the diagnostic conclusion, completing the connector cleaning and tightening work in just 30 minutes. The busbar system returned to normal operation, effectively preventing the fault from escalating and avoiding waste of maintenance resources.

[0037] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for monitoring the operating status of busbar trunking, characterized in that: Includes the following steps: S1. Collect operating data including temperature value, current value and timestamp at each monitoring point of the bus trunking, and associate it with its logical position identifier in the electrical topology of the bus trunking. S2. When the real-time temperature value of any monitoring point exceeds its preset safety threshold, the point is determined to be a local hot spot and the root cause analysis process is triggered. S3. Based on the electrical topology, determine the upstream and downstream adjacent monitoring points of the local overheating hot spot, and retrieve the historical temperature and current data sequence of these associated points within a preset time period before the overheating trigger. S4. Analyze the historical temperature and current data sequences of the local overheating point and its upstream and downstream related points, calculate the specific moment when the temperature value of each monitoring point first deviates from its historical baseline level, and record it as the start time of the temperature rise trend; at the same time, identify the specific moment when the current data first exceeds the fluctuation threshold range, and record it as the start time of the current change. S5. Based on the order of the start times of the temperature rise trend, the logical transmission rate of the temperature trend between adjacent monitoring points of the busbar is obtained by calculating the difference between the start times of the upstream and downstream points. S6. Based on the order of the starting time of the temperature rise trend and the positive and negative values ​​of the logic conductance, combined with the order of the starting time of the current change at each monitoring point and the fluctuation amplitude, reasoning is performed to determine the root cause of the fault. S7. Based on the logical reasoning results of the fault root cause, generate a diagnostic conclusion that indicates the location of the suspected fault point and its cause, and output the conclusion to the monitoring interface.

2. The method for monitoring the operating status of a busbar trunking system according to claim 1, characterized in that: S1 further includes the following: At monitoring points set up on the busbar trunking body, its connectors, and plug-in boxes, the conductor temperature value, the current value flowing through the conductor, and the time point at which the temperature and current values ​​were collected are simultaneously collected and recorded as timestamps. In the system data structure, the collected temperature value, current value and timestamp are associated and bound with the logical location identifier corresponding to the monitoring point. The logical location identifier associated with it in the electrical topology of the busbar refers to the unique logical location identifier assigned to each monitoring point; The logical location identifier is a sequence number defined based on the overall electrical connection path of the bus trunking, used to logically represent the positional order of this monitoring point relative to the power supply start point and load end point in the entire bus trunking system.

3. The method for monitoring the operating status of a busbar trunking system according to claim 1, characterized in that: S2 further includes the following: The system continuously collects real-time temperature data from each monitoring point of the bus trunking and compares it with the preset safety threshold for each monitoring point. When the real-time temperature value of any monitoring point is determined to be greater than its corresponding preset safety threshold, the system marks this monitoring point as a local hot spot. While marking local hotspots, the system triggers an analysis process to locate the root cause of the fault. After the process is triggered, the system's operation mode changes from routine status monitoring to cause diagnosis mode targeting the local hotspot and its related links.

4. The method for monitoring the operating status of a busbar trunking system according to claim 1, characterized in that: S3 further includes the following: Based on the busbar electrical topology constructed according to the logical location identifiers defined for each monitoring point, taking the currently marked local hot spot as the reference, find the monitoring point immediately preceding it with the logical location number and define it as the upstream monitoring point; find the monitoring point immediately following it with the logical location number and define it as the downstream monitoring point. The system uses the moment when it determines a local overheating point and triggers the root cause analysis process as the time reference point. It retrieves continuous historical data of the upstream and downstream adjacent monitoring points of the local overheating point for a preset time period before this time reference point. The retrieved data sequence includes all historical temperature data and all historical current data of each monitoring point within this time period.

5. The method for monitoring the operating status of a busbar trunking system according to claim 1, characterized in that: S4 further includes the following: For each local overheating point and its upstream and downstream related monitoring points, the historical temperature baseline level is calculated based on all historical temperature data of the monitoring point within the preset time period and before the overheating trigger time; the historical temperature baseline level is the arithmetic mean of all temperature values ​​within this time period. According to the timestamps from morning to night, each temperature value at the monitoring point is determined to be greater than the historical temperature baseline level; when the first temperature value is determined to be greater than the historical temperature baseline level, the timestamp corresponding to the temperature value is recorded as the starting time of the temperature rise trend at the monitoring point. For the start time of current change, for each of the local overheating hot spots and its upstream and downstream related monitoring points, the current fluctuation threshold range is calculated based on all historical current data of the monitoring point within the preset time period and at the overheating trigger time. The upper limit of the current threshold fluctuation range is the arithmetic mean of all current values ​​within that time period plus three times the standard deviation, calculated as follows: Upper limit = Ia + 3ơ; The lower limit of this range is the arithmetic mean minus three standard deviations, calculated as follows: Lower limit value = Ia - 3ơ; Wherein, Ia represents the arithmetic mean of all historical current data of the monitoring point within the time period; ơ represents the statistical measure of the dispersion of all historical current data of the monitoring point relative to its arithmetic mean Ia within the time period. According to the timestamps from morning to evening, each current value at the monitoring point is determined one by one to see whether it is greater than the upper limit of the current fluctuation threshold range or less than the lower limit of the current fluctuation range. When the first current value is identified as exceeding the upper / lower limit of the current fluctuation threshold range, the timestamp corresponding to the current value is recorded as the start time of the current change at the monitoring point.

6. The method for monitoring the operating status of a busbar trunking system according to claim 5, characterized in that: S5 further includes the following: For each pair of monitoring points formed by a local overheating point and its directly adjacent monitoring points, calculate its logic conductance using the following formula: Logical transmission rate = Starting time of temperature rise trend at downstream monitoring points - Starting time of temperature rise trend at upstream monitoring points; The logic conductance rate characterizes the time difference characteristic of the temperature rise trend being transmitted in this section of the busbar. The monitoring point pairs include point pairs consisting of upstream monitoring points and local overheating points, as well as point pairs consisting of local overheating points and downstream monitoring points; The starting time of the temperature rise trend at the upstream and downstream monitoring points refers to the specific timestamp value corresponding to the starting time of the temperature rise trend calculated in S4 for the monitoring points located at the upstream and downstream logical positions in the currently calculated monitoring point pair.

7. The method for monitoring the operating status of a busbar trunking according to claim 1, characterized in that: S6 further includes the following: Based on the positive and negative characteristics of logic conductivity, the sequential relationship between the start time of temperature rise trend and the start time of current change at each monitoring point, and the specific direction and amplitude of current data exceeding the fluctuation threshold, the root cause of the fault is inferred and determined. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is positive, and the current change start time of the local overheating point is not earlier than the current change start time of its upstream monitoring point, and the current data fluctuation amplitude of each monitoring point is within the preset normal working range, then the root cause of the fault is determined to be located at the upstream connection of the local overheating point. If the logic conduction rate of the point pair formed by the local overheating point and its upstream monitoring point is negative, and the temperature rise trend of the local overheating point starts earlier than the temperature rise trend start time of all related monitoring points upstream and downstream, and its current change start time is earlier than / synchronous with all related monitoring points, then the root cause of the fault is determined to be the local overheating point itself. If the logic conduction rate of the point pair formed by the local overheating point and its downstream monitoring point is negative, and the start time of the current change of the local overheating point is basically synchronized with the start time of the current change of the downstream monitoring point, and the fluctuation amplitude of the current data shows a decreasing characteristic from the downstream monitoring point to the local overheating point, then the root cause of the fault is determined to be caused by the current change of the downstream load. The positive or negative value of the logic conduction rate indicates the logical relationship of the temperature rise trend being transmitted sequentially in adjacent sections of the busbar trunking. The fluctuation amplitude refers to the specific numerical value of the deviation of the current value from the upper / lower limit of the current fluctuation threshold range when the current data is first detected to exceed the fluctuation threshold range.

8. The method for monitoring the operating status of a busbar trunking system according to claim 7, characterized in that: S7 further includes the following: Based on the fault root cause type and its corresponding specific location determined in S6, when the fault is determined to be an upstream connection fault, the conclusion indicates poor contact of the upstream connector and its specific location. When the fault is determined to be local, the conclusion indicates that the local connection point is abnormal and its specific location is marked. When the cause is determined to be a sudden change in downstream load current, the conclusion indicates the location of the downstream monitoring point that caused the temperature rise due to the sudden change in downstream load current. Based on the above judgment results, a diagnostic conclusion text containing fault location and cause analysis is generated; The generated diagnostic conclusion text is transmitted to the monitoring system's display interface in real time for visualization, and the conclusion is also associated with and stored in relation to the corresponding local hot spot alarm record.

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