Distribution cabinet fault monitoring method and system, electronic equipment, and readable storage medium

Abstract

The present disclosure provides a distribution cabinet fault monitoring method and system, electronic equipment, and readable storage medium, which belong to the field of fault monitoring technology. The method includes: determining multiple power consumption characteristics of a target branch; determining a monitoring strategy for the target branch based on the multiple power consumption characteristics; monitoring the electrical parameters of the target branch based on the monitoring strategy to obtain a fault monitoring result; wherein the target branch is one of the multiple branches that the distribution cabinet supplies power to electrical equipment. The distribution cabinet fault monitoring method and system, electronic equipment, and readable storage medium provided by the present disclosure can improve the accuracy and reliability of distribution cabinet fault monitoring.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of fault monitoring, and more specifically, relates to a distribution cabinet fault monitoring method and system, electronic equipment, and a readable storage medium. Background Art

[0002] With the continuous development of modern industry, commerce and various infrastructure construction, the power distribution cabinet, as a key equipment for power distribution and control, plays a vital role in ensuring the safe and stable operation of the power system. In many places, the power distribution cabinet needs to supply power to a variety of electrical equipment of different types, different powers and different operating rules. These electrical equipment obtains electricity through multiple branches of the power distribution cabinet, and the operating conditions of each branch directly affect the reliability and safety of the entire power supply system.

[0003] Traditional distribution cabinet fault monitoring methods often use relatively fixed monitoring thresholds and monitoring frequencies to monitor each branch, which has low reliability and makes it difficult to detect faults in a timely manner.

[0004] Therefore, a stable and reliable method for monitoring faults in power distribution cabinets is urgently needed. Summary of the invention

[0005] The purpose of the present disclosure is to provide a distribution cabinet fault monitoring method and system, electronic equipment, and readable storage medium to improve the accuracy and reliability of distribution cabinet fault monitoring.

[0006] A first aspect of an embodiment of the present disclosure provides a method for monitoring a fault in a power distribution cabinet, comprising:

[0007] Determine multiple power usage characteristics of the target branch;

[0008] Determine the monitoring strategy of the target branch based on multiple power consumption characteristics;

[0009] Based on the monitoring strategy, the electrical parameters of the target branch are monitored to obtain the fault monitoring results;

[0010] The target branch is one of the multiple branches that the power distribution cabinet uses to supply power to the electrical equipment.

[0011] A second aspect of the embodiments of the present disclosure provides a distribution cabinet fault monitoring system, including:

[0012] A feature determination module, used to determine multiple power consumption features of a target branch;

[0013] A strategy decision module, used to determine the monitoring strategy of the target branch based on multiple power consumption characteristics;

[0014] A fault monitoring module is used to monitor the electrical parameters of the target branch based on the monitoring strategy to obtain the fault monitoring results;

[0015] The target branch is one of the multiple branches that the power distribution cabinet uses to supply power to the electrical equipment.

[0016] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned distribution cabinet fault monitoring method when executing the computer program.

[0017] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned distribution cabinet fault monitoring method are implemented.

[0018] The beneficial effects of the power distribution cabinet fault monitoring method and system, electronic device, and readable storage medium provided by the embodiments of the present disclosure are:

[0019] By analyzing multiple power consumption characteristics of the target branch, the present disclosure can more accurately understand the operating status and power demand of the branch. The monitoring strategy formulated based on the power consumption characteristics can be closer to the actual operating conditions and improve the accuracy and effectiveness of monitoring. The present disclosure can also dynamically adjust the monitoring strategy according to the changes in power consumption characteristics to adapt to the needs of different power consumption scenarios, thereby improving the accuracy and reliability of distribution cabinet fault monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic diagram of a flow chart of a method for monitoring a fault in a power distribution cabinet provided in an embodiment of the present disclosure;

[0022] Figure 2 A structural block diagram of a distribution cabinet fault monitoring system provided by an embodiment of the present disclosure;

[0023] Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0025] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0026] Please refer to Figure 1 , Figure 1 A schematic diagram of a method for monitoring a fault in a power distribution cabinet according to an embodiment of the present disclosure is provided, wherein the method comprises:

[0027] S101: Determine multiple power usage characteristics of a target branch.

[0028] In this embodiment, the target branch is one of the multiple branches that the power distribution cabinet supplies power to the electrical equipment. The multiple power consumption characteristics may include: power consumption regularity characteristics, importance characteristics, and power consumption bias characteristics. The power consumption regularity characteristics refer to the power consumption regularity of the target branch. For example, when the target branch is a power branch, for the power branch, the corresponding current value during historical normal operation is 200A-220A, and the normal operating voltage is 208V-232V; for the lighting branch, the corresponding current value during historical normal operation is 15A-18A, and the normal operating voltage is 210V-230V. That is, the current value and voltage value corresponding to normal operation of each branch are different, and the power consumption regularity characteristics of the target branch can be determined through historical data.

[0029] The importance feature refers to the importance of the branch. For example, in the power distribution cabinet of the hospital operating room, the branch for surgical lighting is crucial. Once a fault occurs, it will directly affect the operation and even endanger the patient's life. In the general ward, although the lighting branch is also important, it has a relatively small impact on the core business. That is, even if they are all lighting branches, their importance is different due to different scenarios. For industrial power distribution cabinets, the importance of power circuits is greater than that of lighting circuits, because once the power circuit loses power supply, it will directly affect the entire production operation, and some machines will even be damaged due to sudden power outages and power supply. That is, the importance of different branches is also different.

[0030] The importance of the target branch may be determined by a preset importance or a pre-stored initial importance.

[0031] The power consumption bias refers to the power consumption bias of the target branch. For example, the voltage fluctuation of the lighting branch is relatively small. This is because the lighting equipment has high requirements for voltage accuracy, and the voltage fluctuation is generally within the rated voltage. The voltage fluctuation of the power branch is relatively large, especially when a large motor is started in the power branch, which will cause a large voltage drop. In addition, the voltage of the power branch may also be affected by the start and stop of other high-power equipment, resulting in a wider fluctuation range than the lighting branch.

[0032] The power consumption characteristics can be obtained based on the maximum current, maximum voltage, minimum current and minimum voltage of each circuit during normal operation in the historical records.

[0033] S102: Determine a monitoring strategy for a target branch based on multiple power usage characteristics.

[0034] In this embodiment, the plurality of power consumption characteristics refer to power consumption regularity characteristics, importance characteristics and power consumption bias characteristics. The monitoring strategy refers to the monitoring threshold and monitoring frequency of the target branch, wherein the monitoring threshold includes a current threshold and a voltage threshold.

[0035] In this embodiment, the monitoring strategy of the target branch is determined based on multiple power consumption characteristics, including:

[0036] Determine a first monitoring threshold of the target branch based on the power consumption regularity characteristics of the target branch;

[0037] Determining a first monitoring frequency of the target branch based on an importance characteristic of the target branch;

[0038] Determine the monitoring bias of the target branch based on the power consumption bias characteristics of the target branch;

[0039] Adjust the first monitoring threshold based on the monitoring bias to obtain a second monitoring threshold;

[0040] Adjusting the first monitoring frequency based on the monitoring bias to obtain a second monitoring frequency;

[0041] The second monitoring threshold and the second monitoring frequency determine the monitoring strategy of the target branch.

[0042] In this embodiment, the first monitoring threshold refers to an electrical parameter limit that is preliminarily set based on the power consumption characteristics of the target branch and is used to determine whether a branch fault occurs. For example, for current parameters, an upper limit and a lower limit are set as the preliminary monitoring limit by analyzing the current range of the equipment in the branch when it is operating normally. When the current exceeds this range, it may indicate that an abnormal situation has occurred in the branch.

[0043] The importance characteristic reflects the criticality of the target branch in the entire power distribution cabinet power supply system. The first monitoring frequency is the initial time interval for checking the electrical parameters of the branch, which is set based on the importance characteristic of the target branch. Branches with high importance usually have more frequent monitoring frequencies to ensure that faults can be discovered in time; while branches with relatively low importance can appropriately reduce the monitoring frequency to balance the monitoring cost and fault risk.

[0044] The power consumption bias feature reflects the main tendency of the target branch in terms of power consumption, such as focusing on the impact on voltage or current, that is, the degree of voltage or current fluctuation in the target branch history. Monitoring bias is the focus of attention on certain electrical parameters during fault monitoring based on the power consumption bias feature.

[0045] The second monitoring threshold is a new monitoring limit obtained by adjusting the first monitoring threshold after considering the monitoring bias. This adjustment makes the monitoring threshold more consistent with the actual power consumption characteristics of the branch and the parameters of key concern, thereby more accurately judging the fault situation.

[0046] The second monitoring frequency is the monitoring time interval after adjusting the first monitoring frequency in combination with the monitoring weight. If the parameter with monitoring weight is critical to the operation of the branch or the parameter is prone to change, the monitoring frequency can be increased to capture potential faults more timely. The monitoring strategy is a monitoring method composed of monitoring threshold and monitoring frequency.

[0047] For example, there is a power distribution cabinet in a factory, which has a power branch for powering a CNC machine tool. This power branch is the target branch. When the CNC machine tool is started, the current will instantly reach 150A and the voltage will be 380V, and then stabilize between 100A-120A. The voltage is maintained between 360V-380V during normal operation. According to this power consumption law, the first monitoring threshold of the current is set as: the lower limit is 90A (considering the possible fluctuation lower limit of the normal operating current), and the upper limit is 140A (considering a certain overload margin); the first monitoring threshold of the voltage is 350V at the lower limit and 395V at the upper limit.

[0048] Since CNC machine tools are key equipment for factory production, once a power outage occurs, production will stagnate, resulting in large economic losses, so they are very important. Based on this, the first monitoring frequency is set to monitor the current and voltage once every 5 minutes.

[0049] The power consumption of this power branch is more important in terms of its impact on the current. Therefore, the monitoring focuses on the current parameter. Considering this, the second monitoring threshold of the current is adjusted to: lower limit 90A, upper limit 150A; at the same time, due to the importance of the current, the second monitoring frequency is adjusted to monitor the current every 3 minutes, while the voltage is still monitored every 5 minutes.

[0050] In this embodiment, the first monitoring threshold is adjusted based on the monitoring bias to obtain the second monitoring threshold, including:

[0051] In response to the monitoring bias being that the degree of deviation between the electrical parameters of the electrical equipment corresponding to the target branch when it is started and the electrical parameters of the electrical equipment when it is working is greater than a first deviation threshold, the monitoring threshold of the target branch is adjusted with a first deviation step.

[0052] In this embodiment, the degree of deviation refers to the degree to which the electrical parameters of the electrical equipment when it is started deviate from the electrical parameters when it is in normal operation, which can be calculated by calculating the difference between the electrical parameters at the time of startup and the electrical parameters at the time of normal operation and the ratio of the electrical parameters at the time of normal operation, and the first deviation threshold and the first deviation step can be determined experimentally. The electrical parameters may include voltage and current, the corresponding monitoring thresholds may be voltage and current, and the first deviation step may include a first voltage deviation step and a first current deviation step.

[0053] S103: Monitor the electrical parameters of the target branch based on the monitoring strategy to obtain a fault monitoring result; wherein the target branch is one of the multiple branches that the power distribution cabinet supplies power to the electrical equipment.

[0054] In this embodiment, the current value of the target branch can be monitored by an ammeter, and the voltage value of the target branch can be monitored by a voltage meter. These data reflect the working status of the branch at the current moment. For example, the current size reflects the working current of the branch load, and the voltage size shows whether the power supply voltage of the branch is normal.

[0055] After obtaining the real-time data of the electrical parameters, compare these data with the monitoring thresholds set in the monitoring strategy. If the data exceeds the set normal range (i.e., the monitoring threshold), it is considered that a fault may have occurred, and this abnormality is recorded as a fault monitoring result. For example, if the monitored branch current is greater than the set current upper threshold, or the voltage is lower than the set voltage lower threshold, it may indicate that the branch has an overload, undervoltage, or other fault conditions. The fault monitoring result may be a simple "normal" or "abnormal" judgment, or it may include more detailed information, such as which electrical parameters are abnormal.

[0056] From the above, it can be concluded that by analyzing multiple power consumption characteristics of the target branch, the present disclosure can more accurately understand the operating status and power demand of the branch. The monitoring strategy formulated based on the power consumption characteristics can be closer to the actual operating conditions and improve the accuracy and effectiveness of monitoring. The present disclosure can also dynamically adjust the monitoring strategy according to the changes in power consumption characteristics, adapt to the needs of different power consumption scenarios, and improve the accuracy and reliability of distribution cabinet fault monitoring.

[0057] In one embodiment of the present disclosure, the method for monitoring a fault in a power distribution cabinet further includes:

[0058] Determine the environmental impact characteristics of the target branch;

[0059] In response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency;

[0060] Determine a second monitoring strategy for the target branch based on a third monitoring threshold and a third monitoring frequency;

[0061] The electrical parameters of the target branch are monitored based on the second monitoring strategy to obtain a second fault monitoring result.

[0062] In one embodiment of the present disclosure, the environmental impact characteristics include: temperature impact characteristics and humidity impact characteristics;

[0063] The environmental impact conditions include: a temperature impact characteristic that the degree of impact of temperature on the target branch is greater than a first temperature impact threshold;

[0064] and / or, the humidity impact characteristic is that the degree of humidity impact on the target branch is greater than a first humidity impact threshold;

[0065] and / or, the temperature impact characteristic is that the temperature causes the temperature failure risk level of the target branch to be greater than a first risk threshold;

[0066] And / or, the humidity impact characteristic is that the humidity causes the humidity failure risk level of the target branch to be greater than a second risk threshold.

[0067] In this embodiment, the environmental impact characteristics include: temperature impact characteristics and humidity impact characteristics. The temperature impact characteristics focus on how the temperature factor acts on the target branch, such as whether the temperature change will cause changes in the electrical parameters in the branch, whether it will increase the risk of faults, etc.; the humidity impact characteristics are similar, mainly examining the impact of humidity on the electrical parameters of the branch, whether it is prone to faults, etc. The temperature impact characteristics may include the degree of influence of temperature on the target branch and the temperature fault risk level, and the humidity impact characteristics may include the degree of influence of humidity on the target branch and the humidity fault risk level. The second fault monitoring result is the fault information obtained after monitoring the electrical parameters of the target branch based on the adjusted monitoring threshold and the adjusted monitoring frequency. For example, if the monitored branch current is greater than the set current upper limit threshold, or the voltage is lower than the set voltage lower limit threshold, it may indicate that the branch has overload, undervoltage and other fault conditions. The fault monitoring result may be a simple "normal" or "abnormal" judgment, or it may include more detailed information, such as which electrical parameters are abnormal.

[0068] Environmental impact characteristics can be obtained through the electrical parameters of the historical target branch when working at various temperatures and the electrical parameters when working at various humidity levels. For example, the temperature data of each season and different time periods of each day in the past year can be viewed to count the maximum, minimum, average, and frequency and amplitude of temperature changes. If it is found that the ambient temperature in the distribution cabinet often exceeds 40°C in summer, and the occurrence rate of equipment failures increases significantly at this temperature, it can be determined that high temperature is an important temperature impact feature. Or review the historical fault records and associate the time of the fault with the temperature conditions at that time. For example, when the motor in a power branch frequently has overload protection actions during high temperature periods (such as ambient temperature above 35°C), it can be inferred by analyzing historical records that the temperature has affected the load characteristics of the branch. Specifically, it may be that the high temperature causes the motor winding resistance to increase, causing the motor current to increase under the same load, thereby triggering overload protection.

[0069] Alternatively, a temperature impact model can be established using a large amount of historical temperature and equipment operation data. For example, a mathematical relationship between equipment performance parameters (such as current, power loss, etc.) and temperature can be established through regression analysis and other methods. The degree of temperature impact includes the degree of temperature impact on current and the degree of temperature impact on voltage. For example, the degree of temperature impact on current is calculated using the first formula:

[0070] ,in, is the current at different temperatures, which can be obtained through historical records. is the current at standard temperature, is the actual temperature, is the reference temperature, is the current temperature coefficient, that is, the degree of influence of temperature on current. The above parameters are all numerical values ​​and do not contain units.

[0071] Similarly, the influence of temperature on voltage can be calculated by the second formula:

[0072] ,in, is the voltage at different temperatures, which can be obtained through historical records. is the voltage at standard temperature, is the actual temperature, is the reference temperature, is the voltage temperature coefficient, which is the degree of influence of temperature on voltage. The above parameters are all numerical values ​​and do not contain units.

[0073] It should be noted that the above calculation process is for various temperature values ​​under standard humidity to avoid the influence of humidity on current and voltage.

[0074] Through the above calculation, the influence degree of temperature on the target branch and the influence degree of humidity on the humidity of the target branch can be obtained.

[0075] Determine whether the impact of temperature on the target branch is greater than the first temperature impact threshold. If it is greater, it means that the monitoring threshold or monitoring frequency needs to be adjusted. Similarly, the humidity impact characteristics are whether the impact of humidity on the target branch is greater than the first humidity impact threshold; whether the temperature failure risk level of the target branch caused by temperature is greater than the first risk threshold; whether the humidity failure risk level of the target branch caused by humidity is greater than the second risk threshold. Based on the results, determine whether the second monitoring threshold and the second monitoring frequency need to be adjusted.

[0076] The first temperature impact threshold, the first humidity impact threshold, the first risk threshold, and the second risk threshold may be determined according to actual conditions. The second monitoring threshold and the second monitoring frequency may be adjusted by a specific step size.

[0077] The temperature fault risk level and humidity risk level can be obtained by the temperature and humidity at the time of historical faults. For example, in response to the temperature being higher than the first temperature threshold and the number of faults being greater than the first temperature fault threshold, the temperature fault risk level is a first value;

[0078] In response to the temperature being higher than the first temperature threshold and the number of failures being greater than the second temperature failure threshold, the temperature failure risk level is a second value;

[0079] In response to the temperature being higher than the first temperature threshold and the number of failures being greater than the third temperature failure threshold, the temperature failure risk level is a third value;

[0080] In response to the humidity being higher than the first humidity threshold and the number of failures being greater than the first humidity failure threshold, the humidity failure risk level is a fourth value;

[0081] In response to the humidity being higher than the first humidity threshold and the number of failures being greater than the second humidity failure threshold, the humidity failure risk level is a fifth value;

[0082] In response to the humidity being higher than the first humidity threshold and the number of failures being greater than the third humidity failure threshold, the humidity failure risk level is a sixth value.

[0083] Among them, the first temperature threshold and the first humidity threshold can be determined based on experience and are used to judge the temperature and humidity. Only when the temperature is higher than the first temperature threshold and the humidity is higher than the first humidity threshold, the corresponding number of failures will be used to judge the risk level of temperature and humidity.

[0084] The first temperature fault threshold, the second temperature fault threshold, the third temperature fault threshold, the first humidity fault threshold, the second humidity fault threshold, and the third humidity fault threshold are all determined according to actual conditions.

[0085] The first value and the fourth value may be 1, the second value and the fifth value may be 2, and the third value and the sixth value may be 3. That is, the risk level of temperature and humidity to the target branch is judged by the number of faults, and the larger the value, the greater the impact of temperature or humidity on the occurrence of its fault.

[0086] From the above, it can be concluded that the present disclosure can more accurately understand the impact of environmental factors on branch operation by analyzing the environmental impact characteristics of the target branch, such as temperature and humidity. Adjusting the monitoring threshold and monitoring frequency according to the above characteristics makes the monitoring closer to the actual operating conditions, improving the accuracy and pertinence of the monitoring. The present disclosure takes into account the impact of environmental factors on electrical parameters by adjusting the monitoring threshold and monitoring frequency, effectively reducing false alarms and missed alarms, and improving the accuracy and reliability of distribution cabinet fault monitoring.

[0087] In one embodiment of the present disclosure, in response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency, including:

[0088] In response to the temperature impact characteristic being that the degree of temperature impact on the target branch is greater than the first temperature impact threshold, adjusting the second monitoring threshold according to the temperature impact degree to obtain a third monitoring threshold;

[0089] In response to the humidity impact characteristic being that the humidity impact degree of the humidity on the target branch is greater than the first humidity impact threshold, adjusting the second monitoring threshold according to the humidity impact degree to obtain a third monitoring threshold;

[0090] In response to the temperature impact characteristic being that the temperature failure risk of the target branch caused by the temperature is greater than a first risk threshold, adjusting the second monitoring frequency according to the temperature failure risk level to obtain a third monitoring frequency;

[0091] In response to the humidity impact characteristic being that the humidity causes the humidity fault risk level of the target branch to be greater than a second risk threshold, the second monitoring frequency is adjusted according to the humidity fault risk level to obtain a third monitoring frequency.

[0092] In this embodiment, in response to the temperature influence degree being greater than the first temperature influence threshold and less than or equal to the second temperature influence threshold, the upper limit of the second monitoring threshold is increased by the first temperature step, and the lower limit of the second monitoring threshold is decreased by the first temperature step, to obtain the third monitoring threshold;

[0093] In response to the temperature impact degree being greater than the second temperature impact threshold and less than or equal to the third temperature impact threshold, the upper limit of the second monitoring threshold is increased by the second temperature step, and the lower limit of the second monitoring threshold is decreased by the second temperature step to obtain the third monitoring threshold.

[0094] In response to the humidity impact degree being greater than the first humidity impact threshold and less than or equal to the second humidity impact threshold, increasing the upper limit of the second monitoring threshold by the first humidity step length, and decreasing the lower limit of the second monitoring threshold by the first humidity step length, to obtain a third monitoring threshold;

[0095] In response to the humidity impact degree being greater than the second humidity impact threshold and less than or equal to the third humidity impact threshold, the upper limit of the second monitoring threshold is increased by the second humidity step size, and the lower limit of the second monitoring threshold is decreased by the second humidity step size to obtain the third monitoring threshold.

[0096] The first temperature step, the second temperature step, the first humidity step, and the second humidity step may be determined according to actual conditions.

[0097] In response to the temperature risk level being a first value, increasing the second monitoring frequency by a first frequency step to obtain a third monitoring frequency;

[0098] In response to the temperature risk level being a second value, increasing the second monitoring frequency by a second frequency step to obtain a third monitoring frequency;

[0099] In response to the temperature risk level being a third value, increasing the second monitoring frequency by a third frequency step to obtain a third monitoring frequency;

[0100] In response to the temperature risk level being a fourth value, increasing the second monitoring frequency by a fourth frequency step to obtain a third monitoring frequency;

[0101] In response to the temperature risk level being a fifth value, increasing the second monitoring frequency by a fifth frequency step to obtain a third monitoring frequency;

[0102] In response to the temperature risk level being a sixth value, the second monitoring frequency is increased by a sixth frequency step to obtain a third monitoring frequency.

[0103] The first frequency step, the second frequency step, the third frequency step, the fourth frequency step, the fifth frequency step, and the sixth frequency step may be set empirically.

[0104] In one embodiment of the present disclosure, in response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency, further comprising:

[0105] In response to the temperature impact characteristic being that the temperature impact degree of the temperature on the target branch is greater than the first temperature impact threshold and the humidity impact characteristic being that the humidity impact degree of the humidity on the target branch is greater than the first humidity impact threshold, adjusting the second monitoring threshold according to the temperature impact degree and the humidity impact degree to obtain a third monitoring threshold;

[0106] In response to the temperature impact characteristic being that the temperature causes the temperature failure risk of the target branch to be greater than the first risk threshold and the humidity impact characteristic being that the humidity causes the humidity failure risk level of the target branch to be greater than the second risk threshold, the second monitoring frequency is adjusted according to the temperature failure risk level and the humidity failure risk level to obtain a third monitoring frequency.

[0107] In this embodiment, when multiple conditions are met, the adjustment steps corresponding to the met conditions can be superimposed and used. For example, in response to the temperature influence degree being greater than the first temperature influence threshold and less than or equal to the second temperature influence threshold and the humidity influence degree being greater than the first humidity influence threshold and less than or equal to the second humidity influence threshold, the upper limit of the second monitoring threshold is increased by the sum of the first temperature step and the first humidity step, and the lower limit of the second monitoring threshold is lowered by the sum of the first temperature step and the first humidity step, to obtain the third monitoring threshold.

[0108] From the above, it can be concluded that the present disclosure can dynamically adjust the monitoring threshold and frequency according to the real-time temperature and humidity conditions, thereby ensuring that the monitoring strategy always matches the current environmental conditions, improving the accuracy of monitoring, and reducing false alarms and missed alarms caused by environmental factors, thereby enhancing the reliability and stability of the present disclosure.

[0109] In one embodiment of the present disclosure, the method for monitoring a fault in a power distribution cabinet further includes:

[0110] Determine the degree of electrical influence between multiple branches;

[0111] In response to the fault monitoring result being that the target branch is abnormal, the monitoring frequency of the branch whose electrical influence on the target branch is greater than a first electrical influence threshold is increased by a first frequency step.

[0112] In one embodiment of the present disclosure, determining the degree of electrical influence between multiple branches includes:

[0113] determining a first electrical influence degree based on the electromagnetic coupling degree between the plurality of branches;

[0114] determining a second electrical influence degree based on an electrical connection relationship between the plurality of branches;

[0115] determining a third electrical impact level based on historical fault information;

[0116] The electrical influence degrees between the multiple branches are obtained by performing weighted calculation on the first electrical influence degree, the second electrical influence degree and the third electrical influence degree.

[0117] In this embodiment, it is considered that when an overload fault occurs in one branch, it may cause a chain reaction in other branches. For example, the motor of the power branch runs overloaded for a long time, resulting in excessive current in the branch. If the protection device of the branch fails to operate in time, the excessive current may cause the common bus connected to the same distribution cabinet to overheat. This overheating may affect the insulation performance of other branches, causing the insulation resistance of other branches to decrease, increasing the risk of failure of other branches.

[0118] Alternatively, in a power distribution cabinet, electromagnetic induction may occur when the wires of different branches are close together. For example, a high-current motor circuit in a power branch will generate an alternating magnetic field when it is working, and this magnetic field may induce an electromotive force on the wires of an adjacent control branch or signal branch. If the induced electromotive force is large enough, it may interfere with the control signal or damage sensitive electronic equipment.

[0119] Alternatively, multiple branches are connected to a common bus. When a branch has a short circuit fault, the bus voltage will drop instantly. For example, in an industrial power distribution cabinet, a short circuit occurs in the power branch. Due to the large short circuit current, a large voltage drop will occur on the common bus. This voltage drop will affect other branches connected to the same bus. For example, the lamps in the lighting branch may go out due to low voltage, and the equipment connected to the socket branch may fail due to voltage fluctuations. When monitoring faults, it is necessary to consider this change in common bus voltage. If you only focus on the phenomenon that the lighting branch lamps go out, you may mistakenly judge it as a circuit breaker fault in the lighting branch itself, while ignoring the impact of the power branch short circuit on the common bus.

[0120] Therefore, when an abnormality occurs in a branch, a branch whose electrical impact is greater than the first electrical impact threshold may also fail. At this time, the monitoring frequency of the branch whose electrical impact is greater than the first electrical impact threshold should be increased.

[0121] The degree of electromagnetic coupling between multiple branches can be determined by judging the physical distance between two branches. In response to the distance between the two branches being less than the first distance threshold and greater than or equal to the second distance threshold, the degree of electromagnetic coupling is the seventh value; in response to the distance between the two branches being less than the second distance threshold, the degree of electromagnetic coupling is the eighth value; the first electrical influence degree can be determined according to a pre-set mapping table, for example, when the degree of electromagnetic coupling is the seventh value, the corresponding first electrical influence degree is one value, and when the degree of electromagnetic coupling is the eighth value, the corresponding first electrical influence degree is another value. The seventh value and the eighth value are set based on experience.

[0122] The electrical connection relationship refers to whether the two branches are connected in series or in parallel, whether there is a common bus or common grounding. The electrical connection relationship can be preset, and the second electrical influence degree can be determined through a mapping table of the electrical connection relationship and the second electrical influence degree.

[0123] Historical fault information can provide a reference for the current assessment of the electrical impact between branches. For example, if a power branch fault has caused the adjacent lighting branch to also fail many times in the past, then when assessing the electrical impact between the two branches, the third electrical impact will be higher.

[0124] In response to a target branch failure in the historical information, the number of failures of the second target branch is greater than the first proportion of the number of failures of the target branch and less than or equal to the second proportion, and the third electrical impact degree is a ninth value;

[0125] In response to a target branch failure in the historical information, the number of failures of the second target branch is greater than a second proportion of the number of failures of the target branch, and the third electrical impact degree is a tenth value.

[0126] The first ratio, the second ratio, the ninth value and the tenth value are all set based on experience.

[0127] The first electrical influence degree, the second electrical influence degree and the third electrical influence degree may be respectively assigned corresponding weights, and weighted calculation may be performed to obtain the electrical influence degree between the two branches.

[0128] The weights corresponding to the first electrical impact level, the second electrical impact level and the third electrical impact level of distribution cabinets with different uses should be different, for example:

[0129] determining a first electrical weight, a second electrical weight, and a third electrical weight;

[0130] In response to the power distribution cabinet meeting the first application condition, increasing the first electrical weight according to the first coupling step, increasing the second electrical weight according to the first connection step, and decreasing the third electrical weight according to the first fault step;

[0131] In response to the power distribution cabinet meeting the second application condition, the first electrical weight is reduced according to the second coupling step, the second electrical weight is reduced according to the second connection step, and the third electrical weight is increased according to the second fault step.

[0132] In this embodiment, the first application condition may be applied in industry. Due to the presence of a large number of power equipment, interference caused by electromagnetic coupling and overload faults propagating through the bus are relatively common. Therefore, the weight corresponding to the electrical connection relationship and the weight corresponding to the electromagnetic coupling degree can be increased accordingly, while reducing the weight corresponding to the historical fault information; the first coupling step, the first connection step and the first fault step can be determined according to actual conditions.

[0133] The second application condition may be applied in a data center. In the power distribution cabinet of a data center, high requirements are placed on precise control of the equipment, and historical fault information is crucial to preventing damage to key equipment such as servers. Therefore, the weight corresponding to the third electrical impact degree may be appropriately increased, and the second coupling step, the second connection step, and the second fault step may be determined based on actual conditions.

[0134] From the above, it can be concluded that the present invention takes into account the electrical influence between branches. When a branch failure may trigger a chain reaction in other branches, by increasing the monitoring frequency of branches that have a high degree of electrical influence on the faulty branch, abnormalities can be discovered earlier before the failure occurs, thereby improving the accuracy and timeliness of the early warning, and enhancing the accuracy and reliability of distribution cabinet fault monitoring.

[0135] Corresponding to the distribution cabinet fault monitoring method in the above embodiment, Figure 2 This is a structural block diagram of a distribution cabinet fault monitoring system provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The distribution cabinet fault monitoring system 20 includes: a feature determination module 21, a strategy decision module 22 and a fault monitoring module 23.

[0136] Among them, the feature determination module 21 is used to determine multiple power consumption features of the target branch;

[0137] A strategy decision module 22, used to determine a monitoring strategy for a target branch based on multiple power consumption characteristics;

[0138] The fault monitoring module 23 is used to monitor the electrical parameters of the target branch based on the monitoring strategy to obtain the fault monitoring result;

[0139] The target branch is one of the multiple branches that the power distribution cabinet uses to supply power to the electrical equipment.

[0140] In one embodiment of the present disclosure, the policy decision module 22 is specifically configured to:

[0141] Determine a first monitoring threshold of the target branch based on the power consumption regularity characteristics of the target branch;

[0142] Determining a first monitoring frequency of the target branch based on an importance characteristic of the target branch;

[0143] Determine the monitoring bias of the target branch based on the power consumption bias characteristics of the target branch;

[0144] Adjust the first monitoring threshold based on the monitoring bias to obtain a second monitoring threshold;

[0145] Adjusting the first monitoring frequency based on the monitoring bias to obtain a second monitoring frequency;

[0146] The second monitoring threshold and the second monitoring frequency determine the monitoring strategy of the target branch.

[0147] In one embodiment of the present disclosure, the power distribution cabinet fault monitoring device 20 further includes: an environmental impact determination module;

[0148] An environmental impact determination module, used to determine the environmental impact characteristics of the target branch;

[0149] In response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency;

[0150] Determine a second monitoring strategy for the target branch based on a third monitoring threshold and a third monitoring frequency;

[0151] The electrical parameters of the target branch are monitored based on the second monitoring strategy to obtain a second fault monitoring result.

[0152] In one embodiment of the present disclosure, the environmental impact characteristics include: temperature impact characteristics and humidity impact characteristics;

[0153] The environmental impact conditions include: a temperature impact characteristic that the degree of impact of temperature on the target branch is greater than a first temperature impact threshold;

[0154] and / or, the humidity impact characteristic is that the degree of humidity impact on the target branch is greater than a first humidity impact threshold;

[0155] and / or, the temperature impact characteristic is that the temperature causes the temperature failure risk level of the target branch to be greater than a first risk threshold;

[0156] And / or, the humidity impact characteristic is that the humidity causes the humidity failure risk level of the target branch to be greater than a second risk threshold.

[0157] In one embodiment of the present disclosure, the environmental impact determination module is specifically configured to, in response to the temperature impact characteristic being that the temperature impact degree of the temperature on the target branch is greater than the first temperature impact threshold, adjust the second monitoring threshold according to the temperature impact degree to obtain the third monitoring threshold;

[0158] In response to the humidity impact characteristic being that the humidity impact degree of the humidity on the target branch is greater than the first humidity impact threshold, adjusting the second monitoring threshold according to the humidity impact degree to obtain a third monitoring threshold;

[0159] In response to the temperature impact characteristic being that the temperature failure risk of the target branch caused by the temperature is greater than a first risk threshold, adjusting the second monitoring frequency according to the temperature failure risk level to obtain a third monitoring frequency;

[0160] In response to the humidity impact characteristic being that the humidity causes the humidity fault risk level of the target branch to be greater than a second risk threshold, the second monitoring frequency is adjusted according to the humidity fault risk level to obtain a third monitoring frequency.

[0161] In one embodiment of the present disclosure, the fault monitoring device 20 further includes: an electrical impact determination module;

[0162] An electrical impact determination module, used to determine the degree of electrical impact between multiple branches;

[0163] In response to the fault monitoring result being that the target branch is abnormal, the monitoring frequency of the branch whose electrical influence on the target branch is greater than a first electrical influence threshold is increased by a first frequency step.

[0164] In one embodiment of the present disclosure, the electrical impact determination module is specifically used to:

[0165] determining a first electrical influence degree based on the electromagnetic coupling degree between the plurality of branches;

[0166] determining a second electrical influence degree based on an electrical connection relationship between the plurality of branches;

[0167] determining a third electrical impact level based on historical fault information;

[0168] The electrical influence degrees between the multiple branches are obtained by performing weighted calculation on the first electrical influence degree, the second electrical influence degree and the third electrical influence degree.

[0169] See also Figure 3 , Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 23 are shown.

[0170] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0171] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0172] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0173] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the distribution cabinet fault monitoring method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0174] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0175] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0176] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0177] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0178] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0179] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0180] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0181] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for monitoring faults in a power distribution cabinet, characterized in that: include: Determine multiple power usage characteristics of the target branch; Determining a monitoring strategy for the target branch based on the multiple power usage characteristics; Based on the monitoring strategy, the electrical parameters of the target branch are monitored to obtain a fault monitoring result; The target branch is one of the multiple branches that the power distribution cabinet uses to supply power to the electrical equipment; The determining the monitoring strategy of the target branch based on the multiple power usage characteristics includes: Determine a first monitoring threshold of the target branch based on the power consumption regularity characteristics of the target branch; Determining a first monitoring frequency of the target branch based on an importance characteristic of the target branch; Determining the monitoring bias of the target branch based on the power consumption bias characteristics of the target branch; Adjusting the first monitoring threshold based on the monitoring bias to obtain a second monitoring threshold; Adjusting the first monitoring frequency based on the monitoring bias to obtain a second monitoring frequency; The second monitoring threshold and the second monitoring frequency determine a monitoring strategy for the target branch.

2. The method for monitoring faults in a power distribution cabinet according to claim 1, characterized in that: Also includes: Determining the environmental impact characteristics of the target branch; In response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency; Determining a second monitoring strategy for the target branch based on the third monitoring threshold and the third monitoring frequency; The electrical parameters of the target branch are monitored based on the second monitoring strategy to obtain a second fault monitoring result.

3. The method for monitoring faults in a power distribution cabinet according to claim 2, characterized in that: The environmental impact characteristics include: temperature impact characteristics and humidity impact characteristics; The environmental impact condition includes: the temperature impact characteristic is that the degree of impact of temperature on the target branch is greater than a first temperature impact threshold; and / or, the humidity impact characteristic is that the degree of humidity impact on the target branch is greater than a first humidity impact threshold; and / or, the temperature impact characteristic is that the temperature causes the temperature failure risk level of the target branch to be greater than a first risk threshold; And / or, the humidity impact characteristic is that the humidity causes the humidity failure risk level of the target branch to be greater than a second risk threshold.

4. The method for monitoring faults in a power distribution cabinet according to claim 3, characterized in that: In response to the environmental impact feature satisfying the environmental impact condition, adjusting the second monitoring threshold based on the environmental impact feature to obtain a third monitoring threshold; and adjusting the second monitoring frequency based on the environmental impact feature to obtain a third monitoring frequency, including: In response to the temperature impact characteristic being that the degree of temperature impact on the target branch is greater than a first temperature impact threshold, adjusting the second monitoring threshold according to the temperature impact degree to obtain a third monitoring threshold; In response to the humidity impact characteristic being that the humidity impact degree of humidity on the target branch is greater than a first humidity impact threshold, adjusting the second monitoring threshold according to the humidity impact degree to obtain a third monitoring threshold; In response to the temperature impact characteristic being that the temperature failure risk of the target branch caused by the temperature is greater than a first risk threshold, adjusting the second monitoring frequency according to the temperature failure risk level to obtain a third monitoring frequency; In response to the humidity impact characteristic being that the humidity causes the humidity fault risk level of the target branch to be greater than a second risk threshold, the second monitoring frequency is adjusted according to the humidity fault risk level to obtain a third monitoring frequency.

5. The method for monitoring faults in a power distribution cabinet according to claim 1, characterized in that: Also includes: determining the degree of electrical influence between the plurality of branches; In response to the fault monitoring result being that the target branch is abnormal, the monitoring frequency of the branch whose electrical impact on the target branch is greater than a first electrical impact threshold is increased by a first frequency step.

6. The method for monitoring faults in a power distribution cabinet according to claim 5, characterized in that: The determining the electrical influence degree between the plurality of branches comprises: determining a first electrical influence degree based on the electromagnetic coupling degree between the plurality of branches; determining a second electrical influence degree based on the electrical connection relationship between the plurality of branches; determining a third electrical impact level based on historical fault information; The first electrical influence degree, the second electrical influence degree and the third electrical influence degree are weightedly calculated to obtain the electrical influence degrees between the multiple branches.

7. A distribution cabinet fault monitoring system, characterized in that: A feature determination module, used to determine multiple power consumption features of a target branch; A strategy decision module, configured to determine a monitoring strategy for the target branch based on the multiple power usage characteristics; A fault monitoring module, used to monitor the electrical parameters of the target branch based on the monitoring strategy to obtain a fault monitoring result; The target branch is one of the multiple branches that the power distribution cabinet uses to supply power to the electrical equipment; The strategy decision module is specifically used to determine a first monitoring threshold of the target branch based on the power consumption regularity characteristics of the target branch; Determining a first monitoring frequency of the target branch based on an importance characteristic of the target branch; Determining the monitoring bias of the target branch based on the power consumption bias characteristics of the target branch; Adjusting the first monitoring threshold based on the monitoring bias to obtain a second monitoring threshold; Adjusting the first monitoring frequency based on the monitoring bias to obtain a second monitoring frequency; The second monitoring threshold and the second monitoring frequency determine a monitoring strategy for the target branch.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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