A quick-mounting stable connection system and method for ground copper bars

Abstract

The application discloses a quick-mounting stable connection system and method for grounding copper bars, and relates to the field of grounding copper bar mounting, which comprises the following steps: generating a grounding copper bar engineering design drawing; taking the minimization of indicator deployment cost as a target and taking covering all connection points as a constraint, solving an indicator optimization deployment scheme; configuring differentiated trigger logic parameters for each deployed indicator; injecting an excitation signal into the grounding copper bar and collecting response data of each indicator to the excitation signal; performing initial stability judgment based on the response data of the excitation signal and a theoretical reference value, and preliminarily judging the stability state of each connection point; constructing a stability detection model based on historical response data, further judging the stability state of each connection point; and verifying the reliability of the stability detection model. The specification parameters and connection point design of the grounding copper bar are quantified, the indicator display and active excitation test are utilized, and the installation and stability analysis of the grounding copper bar are quickly completed.

Description

Technical Field

[0001] This invention relates to the field of grounding copper busbar installation, specifically to a quick-connect and stable connection system and method for grounding copper busbars. Background Technology

[0002] Grounding copper busbars are core infrastructure components in power systems, industrial plants, data centers, and other scenarios, ensuring the safe operation of equipment and the safety of personnel. Their primary function is to connect equipment casings and wiring at equipotential, quickly dissipating fault currents and preventing equipment damage, electric shocks, fires, and other safety accidents. With the increasing capacity of power systems and the growing automation of industrial equipment, the scale of grounding copper busbar installations is expanding, and the installation environment is becoming increasingly complex. Significant differences exist in equipment layout, space dimensions, environmental corrosion levels, and grounding current requirements across various scenarios, placing higher demands on the installation efficiency, connection stability, and long-term operational reliability of the copper busbars. The installation quality of the grounding copper busbar directly determines its connection stability and service life. The arrangement of connection points, the selection of copper busbar specifications, and the rationality of monitoring methods are key factors affecting installation quality and operational efficiency. Currently, the industry still relies heavily on traditional, experience-based methods for copper busbar installation, lacking a standardized installation and monitoring solution based on site customization and advance planning. This makes it difficult to adapt to complex and diverse installation scenarios and fully meet the dual requirements of rapid installation and stable operation.

[0003] The current installation of grounding copper busbars generally adopts the method of arranging connection points at equal intervals or adjusting them on-site, resulting in blind installation, low efficiency, and inconsistent quality due to reliance on the experience of operators. At the same time, this installation method also leads to a lack of targeted monitoring, high operation and maintenance costs, high false alarm and false alarm rates, difficulty in ensuring connection stability, and safety risks. Summary of the Invention

[0004] To address the aforementioned technical problems, a quick-installation stable connection system and method for grounding copper busbars is provided. This technical solution solves the problems mentioned in the background technology, such as blind installation, low efficiency, inconsistent quality due to operator experience, lack of targeted monitoring, high operation and maintenance costs, high false alarm and missed alarm rates, difficulty in ensuring connection stability, and safety risks.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A quick-connect stable connection method for grounding copper busbars, comprising:

[0007] Based on the survey data of the grounding copper busbar layout site, determine the specifications and connection point locations of the grounding copper busbar, and generate grounding copper busbar engineering design drawings;

[0008] Based on the location of connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicators and the constraint of covering all connection points, we solve for the optimal deployment scheme of the indicators.

[0009] Configure differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0010] An excitation signal is injected into the grounding copper busbar, and the response data of each indicator to the excitation signal is collected;

[0011] Initial stability assessment is performed based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability state of each connection point;

[0012] A stability detection model is constructed based on historical response data. The current response data is then input into the model to further determine the stability status of each connection point.

[0013] The reliability of the stability detection model is verified based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0014] Preferably, the step of solving for the optimal indicator deployment scheme based on the connection point locations in the engineering design drawings, with the objective of minimizing indicator deployment costs and the constraint of covering all connection points, specifically includes:

[0015] Extract the coordinates of all connection points from the engineering design drawings and denote them as the set of connection point locations.

[0016] The effective monitoring radius of each indicator is determined. The effective monitoring radius is obtained through experimental calibration and represents the maximum distance along the copper busbar that the indicator can reliably monitor.

[0017] A weighted set coverage model for indicator optimization deployment is established. The objective function of the model is to minimize the total deployment cost. The deployment cost is determined by both hardware cost and installation difficulty coefficient. The installation difficulty coefficient is determined based on the reachability of the connection points.

[0018] The constraint of the model is that each connection point is covered by at least one indicator, that is, for any connection point, there exists at least one connection point with an indicator deployed at a distance not exceeding the effective monitoring radius.

[0019] A greedy algorithm is used to solve the weighted set coverage model to obtain the optimal deployment scheme and determine the connection point location of the actual deployment indicator.

[0020] Preferably, configuring differentiated trigger logic parameters for each deployed indicator, wherein the trigger logic parameters are determined based on the environmental characteristics and importance level of the indicator's location, specifically includes:

[0021] Determine the trigger logic parameter set for each indicator, which includes: normal threshold, warning threshold, fault threshold, and delay time;

[0022] The environmental characteristics and importance level of the location of the indicator are obtained. The environmental characteristics include vibration intensity, ambient temperature and ambient humidity. The importance level is determined according to the criticality of the connected equipment.

[0023] Based on environmental characteristics and importance levels, the specific values ​​of the trigger logic parameters are determined by looking up a table. The mapping relationship table on which the lookup is based is generated in advance based on engineering experience and historical data statistics.

[0024] Preferably, the initial stability assessment based on the response data of the excitation signal and the theoretical benchmark value, specifically includes:

[0025] Obtain the response data based on the response dataset of the current batch of stimulus tests;

[0026] The current response data of each indicator is compared with the preset theoretical benchmark value, and the deviation index is calculated. The deviation index is the absolute value of the difference between the current response value and the theoretical benchmark value divided by the preset allowable fluctuation range.

[0027] Based on the deviation index, determine the stability status of the area where each indicator is located:

[0028] If the deviation index is less than or equal to the first preset threshold, the connection is considered stable.

[0029] If the deviation index is greater than the first preset threshold and less than or equal to the second preset threshold, it is determined to be of concern.

[0030] If the deviation index is greater than the second preset threshold, it is determined to be a connection anomaly.

[0031] Preferably, the step of constructing a stability detection model based on historical response data, inputting the current response data into the model, and further determining the stability status of each connection point specifically includes:

[0032] Based on the response data of historical grounding copper busbar excitation tests and the feedback data of grounding copper busbar operation, a training sample set is constructed and divided into a training set, a validation set and a test set.

[0033] The grounding copper busbar is modeled as a graph structure, where the node set corresponds to the location of each deployed indicator, the edge set corresponds to the copper busbar segment, and the weight of the edge is determined according to the physical length of the copper busbar.

[0034] Extract the feature vector of each node, which includes statistical features, location features, and environmental features of historical response data;

[0035] Based on graph neural networks, a stability detection model is constructed, which takes node features and graph structure information as input and outputs the health status label of each node.

[0036] Input the current response data into the trained stability detection model, and output the stability status of each connection point.

[0037] Furthermore, this solution proposes a quick-connect stable connection system for grounding copper busbars to achieve the quick-connect stable connection method for grounding copper busbars as described above, including:

[0038] A copper busbar installation module is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings; based on the connection point locations in the engineering design drawings, with the goal of minimizing indicator deployment costs and the constraint of covering all connection points, it solves for an optimal indicator deployment scheme; and configures differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0039] A copper busbar stability verification module is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal; perform an initial stability judgment based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability status of each connection point; construct a stability detection model based on historical response data, input the current response data into the model, and further determine the stability status of each connection point; and verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0040] Preferably, the copper busbar mounting module includes:

[0041] The drawing generation unit is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings.

[0042] The deployment scheme unit is used to solve for an optimal deployment scheme for the indicator based on the location of the connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicator and the constraint of covering all connection points.

[0043] A triggering logic unit is configured to configure differentiated triggering logic parameters for each deployed indicator, the triggering logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0044] The copper busbar stability verification module includes:

[0045] The test data unit is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal.

[0046] The preliminary judgment unit is used to make an initial stability judgment based on the response data of the excitation signal and the theoretical reference value, and to make a preliminary judgment on the stability status of each connection point.

[0047] A precise judgment unit is used to construct a stability detection model based on historical response data, input the current response data into the model, and further judge the stability status of each connection point.

[0048] The model verification unit is used to verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0050] This invention provides a quick-installation and stable connection scheme for grounding copper busbars. This scheme quantitatively determines the specifications of the copper busbars and the location of connection points through on-site survey data, transforming traditional experience-based installation into data-driven precision construction. This avoids waste caused by equal intervals or arbitrariness resulting from adjustments made during installation, ensuring installation quality while significantly improving construction efficiency. An optimized deployment algorithm achieves effective coverage of all connection points at minimal cost, avoiding repeated on-site measurements and adjustments, and greatly shortening the installation cycle. Indicators with built-in differentiated trigger logic enable real-time visualization of connection status, and combined with active excitation testing and a stability detection model based on historical data, it allows for analysis and evaluation of connection point degradation and installation stability. Independent trigger logic parameters are configured for each indicator based on the environmental characteristics and equipment importance level of different locations, enabling precise regional control and adapting to complex operating environments. Finally, the stability detection model is continuously verified and optimized based on alarm events and on-site inspection results from actual operation and maintenance, forming a closed-loop improvement mechanism that gradually improves diagnostic accuracy with data accumulation. Attached Figure Description

[0051] Figure 1 This is a flowchart of a quick-connect stable connection method for grounding copper busbars according to the present invention;

[0052] Figure 2 The present invention provides a flowchart for solving an optimized indicator deployment scheme with the goal of minimizing indicator deployment costs and the constraint of covering all connection points.

[0053] Figure 3The flowchart shows the initial stability assessment of each connection point based on the response data and theoretical benchmark value of the excitation signal according to the present invention.

[0054] Figure 4 The flowchart below illustrates the process of determining the stability of each connection point in this invention. Detailed Implementation

[0055] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0056] Reference Figure 1 As shown, a quick-connect stable connection method for grounding copper busbars includes:

[0057] Based on the survey data of the grounding copper busbar layout site, determine the specifications and connection point locations of the grounding copper busbar, and generate grounding copper busbar engineering design drawings;

[0058] Based on the location of connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicators and the constraint of covering all connection points, we solve for the optimal deployment scheme of the indicators.

[0059] Configure differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0060] An excitation signal is injected into the grounding copper busbar, and the response data of each indicator to the excitation signal is collected;

[0061] Initial stability assessment is performed based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability state of each connection point;

[0062] A stability detection model is constructed based on historical response data. The current response data is then input into the model to further determine the stability status of each connection point.

[0063] The reliability of the stability detection model is verified based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0064] This solution aims to address the issues of rapid installation and stable operation of grounding copper busbars. It quantifies and determines busbar specifications and connection point locations using on-site survey data, transforming traditional experience-based construction into theoretical design, thus laying the foundation for subsequent steps. With the goal of minimizing costs and the constraint of full coverage, it solves for an optimized deployment scheme for indicators. While ensuring that every connection point can be monitored, it minimizes hardware investment and installation workload, achieving rapid installation. For deployed indicators, the solution configures differentiated trigger logic parameters based on the environmental characteristics and equipment importance level of different locations, enabling the monitoring system to... The system can adapt to complex operating scenarios and avoid false alarms and missed alarms. On this basis, by actively injecting excitation signals into the copper busbar and collecting response data, it can conduct initial acceptance of installation quality based on theoretical benchmark values ​​and promptly identify obvious defects. On the other hand, as the system is put into operation and accumulates historical response data, it can build a stability detection model based on graph neural networks to analyze and evaluate the degradation of connection points and installation stability. At the same time, it can deeply perceive the degradation trend of connection points and provide early warnings. The model is continuously verified and optimized through alarm events and on-site inspection results in actual operation and maintenance, forming a data-driven closed-loop improvement mechanism.

[0065] The process of determining the specifications and connection points of the grounding copper busbar based on the site survey data, and generating grounding copper busbar engineering design drawings, specifically includes:

[0066] A site survey was conducted to obtain basic site data for the grounding copper busbar layout. The basic site data included: equipment layout, grounding current requirements of each piece of equipment, copper busbar installation space dimensions, wall or ground bearing capacity, environmental corrosion level, and interface locations of the existing grounding system.

[0067] Calculate the minimum cross-sectional area required for the grounding copper busbar based on the equipment's grounding current requirements;

[0068] Based on the installation space dimensions, determine the cross-sectional shape and installation method of the copper busbar. The cross-sectional shape includes rectangular and channel shapes, and the installation method includes horizontal and vertical installation.

[0069] The surface treatment process for the copper busbar is selected according to the environmental corrosion level. The surface treatment process includes tin plating, zinc plating, and coating with an anti-corrosion layer.

[0070] Based on the equipment layout and the location of the existing grounding system interfaces, the location of the connection points is determined. The location of the connection points includes: the grounding access point of each device, the splicing point of the copper busbar, the connection point between the copper busbar and the main grounding grid, and the fixed support points set at preset intervals.

[0071] Based on the specifications and connection point locations of the copper busbar, draw up the engineering design drawings for the grounding copper busbar.

[0072] It can be explained that different grounding copper busbar installation environments result in varying requirements for quick installation and stable connection. Existing installations typically employ methods such as equal intervals or on-site adjustments, lacking advance planning and prone to reliance on design experience or blind installation, thus affecting installation speed and quality. Therefore, this solution requires prior site surveying to obtain site data, and based on this data, designing grounding copper busbar engineering drawings specifically for that site. This facilitates technical guidance during initial installation and improves installation speed.

[0073] It should be noted that this solution transforms the on-site installation and adjustment method into a combination of theoretical analysis and experience-based design. By extracting site survey data of the grounding copper busbar layout, the specifications and connection point locations of the copper busbar are set in advance for technical guidance during initial installation, avoiding reliance on experience or blind installation.

[0074] Reference Figure 2 As shown, the process of finding the optimal indicator deployment scheme, with the objective of minimizing indicator deployment cost and the constraint of covering all connection points, specifically includes:

[0075] Extract the coordinates of all connection points from the engineering design drawings and denote them as the set of connection point locations.

[0076] The effective monitoring radius of each indicator is determined. The effective monitoring radius is obtained through experimental calibration and represents the maximum distance along the copper busbar that the indicator can reliably monitor.

[0077] A weighted set coverage model for indicator optimization deployment is established. The objective function of the model is to minimize the total deployment cost. The deployment cost is determined by both hardware cost and installation difficulty coefficient. The installation difficulty coefficient is determined based on the reachability of the connection points.

[0078] The constraint of the model is that each connection point is covered by at least one indicator, that is, for any connection point, there exists at least one connection point with an indicator deployed at a distance not exceeding the effective monitoring radius.

[0079] A greedy algorithm is used to solve the weighted set coverage model to obtain the optimal deployment scheme and determine the connection point location of the actual deployment indicator.

[0080] It can be explained that the indicator is an intelligent monitoring unit integrated at the connection point, used to sense the electrical connection status of the grounding copper busbar in real time. The indicator adopts a combination of one or more monitoring principles, including at least one of resistance monitoring, temperature monitoring, and displacement or pressure monitoring. Among them, the resistance monitoring type judges the connection quality by measuring the change in contact resistance, the temperature monitoring type identifies contact deterioration by detecting abnormal temperature rise, and the displacement or pressure monitoring type realizes the status judgment by sensing mechanical loosening. The indicator also integrates a status display unit, which uses a visual indication method to intuitively present the monitoring results. The visual indication method includes one or more of dual-color light-emitting diodes, thermochromic materials, mechanical color mark indicators, and electronic paper or digital tube displays. When the monitored status parameters exceed a preset threshold, the status display unit automatically switches the display color or shape to realize on-site visualization of the connection status.

[0081] It should be noted that the effective monitoring radius refers to the maximum distance within which, when a typical fault occurs at a single connection point, the indicator can detect the fault with a probability of not less than 90% and can distinguish the fault from faults at other connection points.

[0082] It should be noted that the construction of the weighted set coverage model specifically includes:

[0083] Extract the location coordinates of all connection points from the engineering design drawings to obtain a set of connection point locations, which contains all connection points marked on the drawings;

[0084] For any two connection points, calculate their actual distance along the copper busbar path. If the distance is less than or equal to the effective monitoring radius, it indicates that there is a coverage relationship between the two points, and the coverage coefficient is 1. That is, deploying an indicator at one of these two points can cover the other connection point. If the distance is greater than the effective monitoring radius, it is considered that there is no coverage relationship, and the coverage coefficient is 0.

[0085] A pre-set installation difficulty coefficient comparison table is used to divide different installation difficulty levels according to the location characteristics of the connection points. Each level corresponds to a difficulty coefficient. By searching the location characteristics of the connection points, the installation difficulty level and the corresponding difficulty coefficient of the point can be obtained directly. The total deployment cost of each connection point is equal to the product of the hardware cost baseline value and the installation difficulty coefficient. The hardware cost baseline value is the same at each connection point.

[0086] Set a decision variable to indicate whether to deploy an indicator at a certain connection point. If deployed at that point, the decision variable takes the value of one; if not deployed, it takes the value of zero.

[0087] The weighted set coverage model consists of an objective function and constraints. The objective function is to minimize the sum of costs of all selected deployment points. The constraint is that for any connection point, there must be at least one connection point with an indicator deployed that can cover it, that is, there must be a deployment point whose distance from the point does not exceed the effective monitoring radius.

[0088] It should be noted that the greedy algorithm for solving the weighted set cover model specifically includes:

[0089] Place all connection points into the uncovered set and set the selected indicator set to empty;

[0090] Repeat the following operations until the uncovered collection becomes empty:

[0091] For each connection point that has not yet been selected, calculate its cost-effectiveness ratio. The cost-effectiveness ratio is equal to the deployment cost of that point divided by the number of uncovered connection points that the point can cover. The number of uncovered connection points that the point can cover refers to the number of connection points that are not currently covered by any selected indicator and can be covered by that point. This ratio reflects the average cost required to cover each uncovered point. The smaller the ratio, the higher the cost-effectiveness.

[0092] Among all the unselected connection points, select the connection point with the lowest cost-effectiveness ratio and add it to the selected indicator set. At the same time, remove all connection points covered by this newly selected point from the uncovered set.

[0093] When the uncovered set is empty, the algorithm terminates. At this point, the connection points in the selected indicator set are the final determined indicator optimization deployment scheme. This scheme ensures that all connection points are covered, while the total deployment cost is minimized in an approximate sense.

[0094] The step of configuring differentiated trigger logic parameters for each deployed indicator, wherein the trigger logic parameters are determined based on the environmental characteristics and importance level of the indicator's location, specifically includes:

[0095] Determine the trigger logic parameter set for each indicator, which includes: normal threshold, warning threshold, fault threshold, and delay time;

[0096] The environmental characteristics and importance level of the location of the indicator are obtained. The environmental characteristics include vibration intensity, ambient temperature and ambient humidity. The importance level is determined according to the criticality of the connected equipment.

[0097] Based on environmental characteristics and importance levels, the specific values ​​of the trigger logic parameters are determined by looking up a table. The mapping relationship table on which the lookup is based is generated in advance based on engineering experience and historical data statistics.

[0098] It can be explained that each indicator is configured with a set of trigger logic parameters to define the behavioral rules for its state judgment. The parameter set includes the following four core parameters:

[0099] Normal threshold: When the indicator value is below this threshold, the connection status is determined to be normal, and the status display unit remains green.

[0100] Warning threshold: When the monitored value exceeds the normal threshold but is lower than the threshold, it is determined that there is a slight risk of connection degradation, and the status display unit switches to yellow.

[0101] Fault threshold: When the monitored value exceeds this threshold, a connection failure is determined, and the status display unit switches to a red indicator.

[0102] Delay time: The corresponding state switch is triggered only after the monitored value continuously exceeds the warning threshold or the fault threshold for this duration, in order to avoid false alarms caused by momentary interference;

[0103] It should be noted that the environmental characteristics of each indicator's location were obtained through on-site surveys or real-time data collection by sensors, and then quantified.

[0104] Vibration intensity: Based on the mechanical vibration at the location of the indicator, it is divided into low vibration level, medium vibration level and high vibration level;

[0105] Ambient temperature: Based on the temperature conditions at the location of the indicator, it is divided into normal temperature zone and high temperature zone;

[0106] Ambient humidity: Based on the humidity conditions at the location of the indicator, it is divided into dry and humid zones;

[0107] It should be noted that the importance level is determined based on the criticality of the equipment connected to the indicator in the power system, and is divided into three levels:

[0108] Level 1 Importance: Connection points to core equipment such as main transformers, busbars, and main switches. Failures in these devices can lead to widespread power outages.

[0109] Level 2 Important: Connection points to secondary equipment such as feeders and distribution transformers, where failures in these devices have a limited impact.

[0110] Level 3 Importance: Connection points to general load equipment where failures in these devices only affect a single user;

[0111] It should be noted that the mapping table is pre-generated based on engineering experience and historical data statistics. Each row in the table corresponds to a combination of environmental characteristics and importance level, and each column corresponds to various parameters in the trigger logic parameter set. The construction process is as follows:

[0112] Collect operational data from historically commissioned copper busbar projects, including the changing patterns of monitoring values ​​when connection point failures occur under different environmental conditions;

[0113] The fluctuation range of monitored values ​​under normal operating conditions is statistically analyzed and used as a benchmark for normal thresholds;

[0114] Analyze the changing trends of monitoring values ​​before a fault occurs to determine the reasonable range of warning thresholds and fault thresholds;

[0115] Determine a reasonable value for the delay time based on the speed characteristics of the fault occurrence;

[0116] The statistical results were revised based on the experience of the experts to form the final mapping table.

[0117] In actual configuration, for each indicator, first determine its environmental characteristic level and importance level, and then use these three levels as a combined key value to retrieve the corresponding parameter value in the mapping table;

[0118] It should be noted that the basis for the differentiated configuration of parameters is as follows: In areas with harsh environmental characteristics, the normal fluctuation range of monitoring values ​​is larger, and the threshold needs to be appropriately relaxed to avoid false alarms; for equipment with high importance level, the tolerance for faults is lower, and stricter thresholds and shorter delay times need to be set. For example, in connection points in high vibration level areas, mechanical vibration can cause instantaneous fluctuations in contact resistance, so slightly higher normal thresholds and warning thresholds need to be set, while the delay time should be appropriately increased to filter out vibration interference.

[0119] The process of injecting an excitation signal into the grounding copper busbar and collecting response data from each indicator to the excitation signal specifically includes:

[0120] An excitation signal source is connected to a designated location on the grounding copper busbar, and a preset type of excitation signal is injected. The excitation signal type includes: pulse signal, frequency sweep signal, and constant current signal.

[0121] Each deployed indicator synchronously collects response data to the excitation signal, including: signal arrival time, amplitude attenuation, waveform distortion parameters, and phase offset.

[0122] The collected response data is organized according to indicator identifiers and timestamps to form the response dataset for the current batch.

[0123] It can be explained that after the grounding copper busbar is installed, the contact status of each connection point directly affects its long-term operational stability and reliability. However, relying solely on visual inspection of indicators or static measurement is insufficient to comprehensively assess the true contact quality of each connection point, especially to detect potential problems such as insufficient bolt torque, poor contact surface fit, and stress concentration during installation. By injecting an excitation signal with known characteristics into the copper busbar, it is equivalent to actively stimulating the electrical response of the entire copper busbar system. This allows the contact status of each connection point to be reflected in the response data through the signal propagation process. Differences in contact quality at different connection points will manifest as differences in signal arrival time, amplitude attenuation, waveform distortion characteristics, and abnormal phase shifts. These response data can reflect the electrical characteristics along the entire propagation path from the excitation point to each indicator, thus providing a benchmark for subsequent connection point status assessment and long-term operational stability monitoring.

[0124] Reference Figure 3 As shown, the initial stability assessment based on the response data of the excitation signal and the theoretical benchmark value, specifically including the preliminary assessment of the stability state of each connection point, includes:

[0125] Obtain the response data based on the response dataset of the current batch of stimulus tests;

[0126] The current response data of each indicator is compared with the preset theoretical benchmark value, and the deviation index is calculated. The deviation index is the absolute value of the difference between the current response value and the theoretical benchmark value divided by the preset allowable fluctuation range.

[0127] Based on the deviation index, determine the stability status of the area where each indicator is located:

[0128] If the deviation index is less than or equal to the first preset threshold, the connection is considered stable.

[0129] If the deviation index is greater than the first preset threshold and less than or equal to the second preset threshold, it is determined to be of concern.

[0130] If the deviation index is greater than the second preset threshold, it is determined to be a connection anomaly.

[0131] It can be explained that, for the first test, there is no historical response data available for reference, therefore a statistically significant baseline model cannot be used. This solution uses a theoretical benchmark value as the basis for judgment. This theoretical benchmark value is calculated based on the design parameters of the grounding copper busbar, including:

[0132] The theoretical value of signal arrival time: calculated based on the path length along the copper busbar from the excitation point to each indicator and the propagation speed of the signal in the copper busbar;

[0133] The theoretical value of amplitude attenuation is calculated based on the impedance per unit length of the copper busbar and the propagation distance.

[0134] Theoretical values ​​of waveform distortion parameters and phase offset: Under ideal connection conditions, waveform distortion parameters should be close to zero, and phase offset should be linearly related to propagation distance;

[0135] The preset allowable fluctuation range is obtained through testing and analysis based on the accuracy of the measuring instrument and the on-site environment. It is used to distinguish between normal fluctuations and abnormal deviations. The first preset threshold and the second preset threshold correspond to the benchmark multiple of the allowable fluctuation range. This benchmark multiple can be determined according to the system acceptance requirements and experimental analysis theory.

[0136] By assessing this information, obvious defects in the installation process can be identified in a timely manner, such as missing connections, severely loose bolts, and untreated contact surfaces. This ensures that the grounding copper busbar is in a qualified initial state before being put into operation. For connections that are deemed abnormal or of concern, they should be re-inspected and treated on-site and then retested until they all reach a stable state.

[0137] Reference Figure 4 As shown, the further determination of the stability state of each connection point specifically includes:

[0138] Based on the response data of historical grounding copper busbar excitation tests and the feedback data of grounding copper busbar operation, a training sample set is constructed and divided into a training set, a validation set and a test set.

[0139] The grounding copper busbar is modeled as a graph structure, where the node set corresponds to the location of each deployed indicator, the edge set corresponds to the copper busbar segment, and the weight of the edge is determined according to the physical length of the copper busbar.

[0140] Extract the feature vector of each node, which includes statistical features, location features, and environmental features of historical response data;

[0141] Based on graph neural networks, a stability detection model is constructed, which takes node features and graph structure information as input and outputs the health status label of each node.

[0142] Input the current response data into the trained stability detection model, and output the stability status of each connection point.

[0143] It can be explained that the initial stability judgment based on the response data of the excitation signal and the theoretical benchmark value is suitable for the first test of this scheme. There is no historical response data available for reference. Therefore, it is necessary to make the initial stability judgment in this way. That is, by accumulating the operation feedback data of the grounding copper busbar and the response data of multiple excitation tests, and then based on this data, by constructing the graph structure of the grounding copper busbar, and based on the graph neural network, the stability status of each connection point is further judged. Thus, with sufficient data support, the accuracy of the stability status assessment of each connection point of the grounding copper busbar can be effectively improved.

[0144] It should be noted that the construction of the training sample set for the stability detection model is divided into two modes:

[0145] One is the initial stability testing mode, which uses the excitation response data and acceptance results of several different copper busbars in the initial stage of operation as training samples. In this mode, the model learns the response characteristic distribution of qualified installations and uses it for the initial stability acceptance of newly installed copper busbars. When the response data of the new copper busbar deviates significantly from this distribution, it is determined that there is an installation defect.

[0146] The second is the long-term stability prediction mode, which uses the historical response data of the target copper busbar at multiple operating time points and its inspection results as training samples. Under this mode, the model learns the response change pattern of the copper busbar under normal aging and is used for early warning of deterioration trend during operation. When the current response data deviates significantly from its own historical change trajectory, it is determined that there is a risk of deterioration.

[0147] It should be noted that for Mode 1: the current response data of the newly installed copper busbar at a single moment is input into the model, and the model outputs the initial stability state of each connection point of the copper busbar, which is used to determine whether the installation quality is qualified.

[0148] For Mode 2: Input the time-series response data of the target copper busbar at multiple time points into the model. Based on the historical change pattern of the copper busbar itself, the model outputs the deterioration trend and risk probability of each connection point for operation and maintenance decision-making.

[0149] By distinguishing between these two modes, the stability detection model can serve both horizontal comparison for new installation and acceptance and vertical prediction for operation and maintenance, thereby achieving stability monitoring of the grounding copper busbar throughout its entire life cycle.

[0150] The verification of the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar specifically includes:

[0151] Collect alarm events and on-site inspection results during the actual operation and maintenance of grounding copper busbars, and construct a feedback dataset containing real status labels;

[0152] The feedback data is input into the stability testing model to obtain the judgment result output by the model, and compared with the actual state of the on-site inspection to calculate the model's accuracy, recall and other evaluation indicators.

[0153] Based on the evaluation index results, the reliability of the stability detection model is assessed, and the model is optimized and updated based on the evaluation results.

[0154] This solution works by collecting alarm events and on-site inspection results from actual operation and maintenance processes to build a feedback dataset. The output of the stability testing model is then compared and verified with the actual state. Evaluation metrics such as accuracy and recall are calculated, thereby achieving a quantitative assessment of the model's reliability and providing data-driven improvement basis for subsequent model optimization and iterative updates.

[0155] Furthermore, based on the same inventive concept as the above-mentioned quick-connect stable connection method for grounding copper busbars, this solution proposes a quick-connect stable connection system for grounding copper busbars, comprising:

[0156] A copper busbar installation module is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings; based on the connection point locations in the engineering design drawings, with the goal of minimizing indicator deployment costs and the constraint of covering all connection points, it solves for an optimal indicator deployment scheme; and configures differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0157] A copper busbar stability verification module is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal; perform an initial stability judgment based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability status of each connection point; construct a stability detection model based on historical response data, input the current response data into the model, and further determine the stability status of each connection point; and verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0158] The copper busbar mounting module includes:

[0159] The drawing generation unit is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings.

[0160] The deployment scheme unit is used to solve for an optimal deployment scheme for the indicator based on the location of the connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicator and the constraint of covering all connection points.

[0161] A triggering logic unit is configured to configure differentiated triggering logic parameters for each deployed indicator, the triggering logic parameters being determined based on the environmental characteristics and importance level of the indicator's location;

[0162] The copper busbar stability verification module includes:

[0163] The test data unit is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal.

[0164] The preliminary judgment unit is used to make an initial stability judgment based on the response data of the excitation signal and the theoretical reference value, and to make a preliminary judgment on the stability status of each connection point.

[0165] A precise judgment unit is used to construct a stability detection model based on historical response data, input the current response data into the model, and further judge the stability status of each connection point.

[0166] The model verification unit is used to verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

[0167] In summary, the advantages of this invention are: by quantifying the specifications and connection point design of the grounding copper busbar, and utilizing indicator display and active excitation testing, the installation and stability analysis of the grounding copper busbar can be completed quickly.

[0168] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A quick-connect stable connection method for grounding copper busbars, characterized in that, include: Based on the survey data of the grounding copper busbar layout site, determine the specifications and connection point locations of the grounding copper busbar, and generate grounding copper busbar engineering design drawings; Based on the location of connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicators and the constraint of covering all connection points, we solve for the optimal deployment scheme of the indicators. Configure differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location; An excitation signal is injected into the grounding copper busbar, and the response data of each indicator to the excitation signal is collected; Initial stability assessment is performed based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability state of each connection point; A stability detection model is constructed based on historical response data. The current response data is then input into the model to further determine the stability status of each connection point. The reliability of the stability detection model is verified based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

2. The quick-connect stable connection method for grounding copper busbars according to claim 1, characterized in that, The process of determining the specifications and connection points of the grounding copper busbar based on the site survey data, and generating grounding copper busbar engineering design drawings, specifically includes: A site survey was conducted to obtain basic site data for the grounding copper busbar layout. The basic site data included: equipment layout, grounding current requirements of each piece of equipment, copper busbar installation space dimensions, wall or ground bearing capacity, environmental corrosion level, and interface locations of the existing grounding system. Calculate the minimum cross-sectional area required for the grounding copper busbar based on the equipment's grounding current requirements; Based on the installation space dimensions, determine the cross-sectional shape and installation method of the copper busbar. The cross-sectional shape includes rectangular and channel shapes, and the installation method includes horizontal and vertical installation. The surface treatment process for the copper busbar is selected according to the environmental corrosion level. The surface treatment process includes tin plating, zinc plating, and coating with an anti-corrosion layer. Based on the equipment layout and the location of the existing grounding system interfaces, the location of the connection points is determined. The location of the connection points includes: the grounding access point of each device, the splicing point of the copper busbar, the connection point between the copper busbar and the main grounding grid, and the fixed support points set at preset intervals. Based on the specifications and connection point locations of the copper busbar, draw up the engineering design drawings for the grounding copper busbar.

3. The quick-connect stable connection method for grounding copper busbars according to claim 2, characterized in that, The process of finding an optimal indicator deployment scheme based on the connection point locations in the engineering design drawings, with the goal of minimizing indicator deployment costs and the constraint of covering all connection points, specifically includes: Extract the coordinates of all connection points from the engineering design drawings and denote them as the set of connection point locations. The effective monitoring radius of each indicator is determined. The effective monitoring radius is obtained through experimental calibration and represents the maximum distance along the copper busbar that the indicator can reliably monitor. A weighted set coverage model for indicator optimization deployment is established. The objective function of the model is to minimize the total deployment cost. The deployment cost is determined by both hardware cost and installation difficulty coefficient. The installation difficulty coefficient is determined based on the reachability of the connection points. The constraint of the model is that each connection point is covered by at least one indicator, that is, for any connection point, there exists at least one connection point with an indicator deployed at a distance not exceeding the effective monitoring radius. A greedy algorithm is used to solve the weighted set coverage model to obtain the optimal deployment scheme and determine the connection point location of the actual deployment indicator.

4. The quick-connect stable connection method for grounding copper busbars according to claim 3, characterized in that, The step of configuring differentiated trigger logic parameters for each deployed indicator, wherein the trigger logic parameters are determined based on the environmental characteristics and importance level of the indicator's location, specifically includes: Determine the trigger logic parameter set for each indicator, which includes: normal threshold, warning threshold, fault threshold, and delay time; The environmental characteristics and importance level of the location of the indicator are obtained. The environmental characteristics include vibration intensity, ambient temperature and ambient humidity. The importance level is determined according to the criticality of the connected equipment. Based on environmental characteristics and importance levels, the specific values ​​of the trigger logic parameters are determined by looking up a table. The mapping relationship table on which the lookup is based is generated in advance based on engineering experience and historical data statistics.

5. A quick-connect stable connection method for grounding copper busbars according to claim 4, characterized in that, The process of injecting an excitation signal into the grounding copper busbar and collecting response data from each indicator to the excitation signal specifically includes: An excitation signal source is connected to a designated location on the grounding copper busbar, and a preset type of excitation signal is injected. The excitation signal type includes: pulse signal, frequency sweep signal, and constant current signal. Each deployed indicator synchronously collects response data to the excitation signal, including: signal arrival time, amplitude attenuation, waveform distortion parameters, and phase offset. The collected response data is organized according to indicator identifiers and timestamps to form the response dataset for the current batch.

6. A quick-connect stable connection method for grounding copper busbars according to claim 5, characterized in that, The initial stability assessment based on the response data of the excitation signal and the theoretical benchmark value, specifically including the preliminary assessment of the stability state of each connection point, includes: Obtain the response data based on the response dataset of the current batch of stimulus tests; The current response data of each indicator is compared with the preset theoretical benchmark value, and the deviation index is calculated. The deviation index is the absolute value of the difference between the current response value and the theoretical benchmark value divided by the preset allowable fluctuation range. Based on the deviation index, determine the stability status of the area where each indicator is located: If the deviation index is less than or equal to the first preset threshold, the connection is considered stable. If the deviation index is greater than the first preset threshold and less than or equal to the second preset threshold, it is determined to be of concern. If the deviation index is greater than the second preset threshold, it is determined to be a connection anomaly.

7. A quick-connect stable connection method for grounding copper busbars according to claim 6, characterized in that, The process of constructing a stability detection model based on historical response data, inputting the current response data into the model, and further determining the stability status of each connection point specifically includes: Based on the response data of historical grounding copper busbar excitation tests and the feedback data of grounding copper busbar operation, a training sample set is constructed and divided into a training set, a validation set and a test set. The grounding copper busbar is modeled as a graph structure, where the node set corresponds to the location of each deployed indicator, the edge set corresponds to the copper busbar segment, and the weight of the edge is determined according to the physical length of the copper busbar. Extract the feature vector of each node, which includes statistical features, location features, and environmental features of historical response data; Based on graph neural networks, a stability detection model is constructed, which takes node features and graph structure information as input and outputs the health status label of each node. Input the current response data into the trained stability detection model, and output the stability status of each connection point.

8. A quick-connect stable connection method for grounding copper busbars according to claim 7, characterized in that, The verification of the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar specifically includes: Collect alarm events and on-site inspection results during the actual operation and maintenance of grounding copper busbars, and construct a feedback dataset containing real status labels; The feedback data is input into the stability testing model to obtain the judgment result output by the model, and compared with the actual state of the on-site inspection to calculate the model's accuracy, recall and other evaluation indicators. Based on the evaluation index results, the reliability of the stability detection model is assessed, and the model is optimized and updated based on the evaluation results.

9. A quick-connect stable connection system for grounding copper busbars, characterized in that, A quick-connect stable connection method for grounding copper busbars as described in any one of claims 1-8, comprising: A copper busbar installation module is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings; based on the connection point locations in the engineering design drawings, with the goal of minimizing indicator deployment costs and the constraint of covering all connection points, it solves for an optimal indicator deployment scheme; and configures differentiated trigger logic parameters for each deployed indicator, the trigger logic parameters being determined based on the environmental characteristics and importance level of the indicator's location; A copper busbar stability verification module is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal; perform an initial stability judgment based on the response data of the excitation signal and the theoretical benchmark value to preliminarily determine the stability status of each connection point; construct a stability detection model based on historical response data, input the current response data into the model, and further determine the stability status of each connection point; and verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

10. A quick-connect stable connection system for grounding copper busbars according to claim 9, characterized in that, The copper busbar mounting module includes: The drawing generation unit is used to determine the specifications and connection point locations of the grounding copper busbar based on the survey data of the grounding copper busbar layout site, and generate grounding copper busbar engineering design drawings. The deployment scheme unit is used to solve for an optimal deployment scheme for the indicator based on the location of the connection points in the engineering design drawings, with the goal of minimizing the deployment cost of the indicator and the constraint of covering all connection points. A triggering logic unit is configured to configure differentiated triggering logic parameters for each deployed indicator, the triggering logic parameters being determined based on the environmental characteristics and importance level of the indicator's location; The copper busbar stability verification module includes: The test data unit is used to inject an excitation signal into the grounding copper busbar and collect the response data of each indicator to the excitation signal. The preliminary judgment unit is used to make an initial stability judgment based on the response data of the excitation signal and the theoretical reference value, and to make a preliminary judgment on the stability status of each connection point. A precise judgment unit is used to construct a stability detection model based on historical response data, input the current response data into the model, and further judge the stability status of each connection point. The model verification unit is used to verify the reliability of the stability detection model based on alarm events and on-site inspection results during the actual operation and maintenance of the grounding copper busbar.

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