MLCC capacitor short circuit monitoring method and system and readable storage medium

Abstract

The invention discloses an MLCC capacitor short circuit monitoring method and system and a readable storage medium, and the method comprises the steps: collecting operation data in a circuit, the operation data at least comprising current data, voltage data and temperature data; performing data analysis based on the operation data to identify abnormal data, wherein the abnormal data at least comprises a current abnormal parameter, a voltage abnormal parameter and a temperature abnormal parameter; and performing visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, and performing display in combination with different display mechanisms in the hierarchical display process. And in the visual hierarchical display process, matching is performed based on the abnormal data in combination with a preset database so as to synchronously output a target processing measure. According to the invention, a short circuit problem can be effectively detected and prevented by adopting a voltage, current and temperature monitoring technology, and the short circuit problem is subjected to multi-stage monitoring, so that monitoring can be carried out according to actual conditions, the safety and reliability of equipment are improved, and the maintenance cost is saved.

Description

Technical Field

[0001] The present invention relates to the field of circuit monitoring technology, and more specifically, to a MLCC capacitor short circuit monitoring method, system and readable storage medium. Background Art

[0002] Chip capacitors are a type of capacitor material. The full name of chip capacitors is: Multilayer Ceramic Capacitors (MLCC), also known as chip capacitors and chip capacitors.

[0003] Among them, short-circuit monitoring of multilayer ceramic capacitors (MLCCs) is an important part of ensuring the stable operation of electronic equipment and preventing potential failures. A well-designed monitoring system can not only improve the safety and reliability of equipment, but also save maintenance costs. Regular maintenance and testing are also important measures to ensure the effectiveness of the monitoring system. Summary of the invention

[0004] The purpose of the present invention is to provide a MLCC capacitor short-circuit monitoring method, system and readable storage medium. By adopting the monitoring technology of voltage, current and temperature, short-circuit problems can be effectively detected and prevented, and short-circuit problems are divided into multi-level monitoring, so that monitoring can be carried out according to actual conditions, thereby improving the safety and reliability of the equipment and saving maintenance costs.

[0005] A first aspect of the present invention provides a method for monitoring a short circuit of an MLCC capacitor, comprising the following steps: Collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; Performing data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters; Perform visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

[0006] In this solution, the operating data in the acquisition circuit, wherein the operating data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0007] In this solution, the data analysis is performed based on the operation data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters and abnormal temperature parameters, specifically including: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

[0008] In this solution, the first abnormal current ratio range is [1.5, 2], the second abnormal current ratio range is (2, 20], the first abnormal voltage ratio range is [10%-8%], the second abnormal voltage ratio range is [8%, 0), the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C).

[0009] In this solution, the visual hierarchical display is performed based on the abnormal data in combination with the corresponding abnormal type, wherein the hierarchical display process is performed in combination with different display mechanisms, specifically including: Identify the current abnormality type in the abnormal data, wherein the abnormality type includes primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality; A visual hierarchical display is performed based on the abnormality types, wherein the first level abnormality types are displayed using the first mechanism, the second level abnormality types are displayed using the second mechanism, the first level abnormality types include the first level abnormality of current, the first level abnormality of voltage and the first level abnormality of temperature, and the second level abnormality types include the second level abnormality of current, the second level abnormality of voltage and the second level abnormality of temperature.

[0010] In this solution, in the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures, specifically including: Matching a first processing measure based on the first level of abnormality type, wherein the first processing measure includes a current level one abnormality processing measure, a voltage level one abnormality processing measure, and a temperature level one abnormality processing measure; Matching a second processing measure based on the second level abnormality type, wherein the second processing measure includes a current secondary abnormality processing measure, a voltage secondary abnormality processing measure, and a temperature secondary abnormality processing measure; The target processing measure is obtained based on the first processing measure and the second processing measure.

[0011] The second aspect of the present invention further provides an MLCC capacitor short circuit monitoring system, comprising a memory and a processor, wherein the memory comprises an MLCC capacitor short circuit monitoring method program, and when the MLCC capacitor short circuit monitoring method program is executed by the processor, the following steps are implemented: Collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; Performing data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters; Perform visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

[0012] In this solution, the operating data in the acquisition circuit, wherein the operating data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0013] In this solution, the data analysis is performed based on the operation data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters and abnormal temperature parameters, specifically including: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

[0014] In this solution, the first abnormal current ratio range is [1.5, 2], the second abnormal current ratio range is (2, 20], the first abnormal voltage ratio range is [10%-8%], the second abnormal voltage ratio range is [8%, 0), the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C).

[0015] In this solution, the visual hierarchical display is performed based on the abnormal data in combination with the corresponding abnormal type, wherein the hierarchical display process is performed in combination with different display mechanisms, specifically including: Identify the current abnormality type in the abnormal data, wherein the abnormality type includes primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality; A visual hierarchical display is performed based on the abnormality types, wherein the first level abnormality types are displayed using the first mechanism, the second level abnormality types are displayed using the second mechanism, the first level abnormality types include the first level abnormality of current, the first level abnormality of voltage and the first level abnormality of temperature, and the second level abnormality types include the second level abnormality of current, the second level abnormality of voltage and the second level abnormality of temperature.

[0016] In this solution, in the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures, specifically including: Matching a first processing measure based on the first level of abnormality type, wherein the first processing measure includes a current level one abnormality processing measure, a voltage level one abnormality processing measure, and a temperature level one abnormality processing measure; Matching a second processing measure based on the second level abnormality type, wherein the second processing measure includes a current secondary abnormality processing measure, a voltage secondary abnormality processing measure, and a temperature secondary abnormality processing measure; The target processing measure is obtained based on the first processing measure and the second processing measure.

[0017] The third aspect of the present invention provides a computer-readable storage medium, which includes a machine's MLCC capacitor short-circuit monitoring method program. When the MLCC capacitor short-circuit monitoring method program is executed by a processor, the steps of an MLCC capacitor short-circuit monitoring method as described in any one of the above items are implemented.

[0018] The present invention discloses a MLCC capacitor short-circuit monitoring method, system and readable storage medium, which can effectively detect and prevent short-circuit problems by adopting three monitoring technologies of voltage, current and temperature, and divide the short-circuit problems into multi-level monitoring, so that monitoring can be carried out according to actual conditions, thereby improving the safety and reliability of the equipment and saving maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flow chart of a method for monitoring short circuit of an MLCC capacitor according to the present invention is shown; Figure 2 A block diagram of an MLCC capacitor short circuit monitoring system of the present invention is shown. DETAILED DESCRIPTION

[0020] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0022] Figure 1 A flow chart of a MLCC capacitor short circuit monitoring method of the present application is shown.

[0023] like Figure 1 As shown, the present application discloses a MLCC capacitor short circuit monitoring method, comprising the following steps: S102, collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; S104, performing data analysis based on the operation data to identify abnormal data, wherein the abnormal data at least includes a current abnormality parameter, a voltage abnormality parameter, and a temperature abnormality parameter; S106, performing visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; S108, in the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

[0024] It should be noted that in this embodiment, MLCC short circuit may cause circuit damage, or even cause fire and other safety hazards. Therefore, it is necessary to monitor the short circuit of MLCC capacitors to detect short circuit problems early. Specifically, when monitoring the short circuit of MLCC capacitors, it is monitored based on current, voltage and temperature, and threshold judgments are made based on different currents, voltages and temperatures, so that signs of short circuit can be monitored to trigger an alarm.

[0025] Specifically, operating data in the circuit is collected, wherein the operating data includes at least current data, voltage data and temperature data, and data analysis is performed based on the operating data to identify abnormal data, wherein the abnormal data includes at least current abnormality parameters, voltage abnormality parameters and temperature abnormality parameters, and after the abnormal data is monitored, a visual hierarchical display is performed based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined for display during the hierarchical display process, and in the process of visual hierarchical display, the abnormal data can be matched with a preset database to synchronously output target processing measures.

[0026] According to an embodiment of the present invention, the operation data in the acquisition circuit, wherein the operation data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0027] It should be noted that, in this embodiment, corresponding operating data such as current data, voltage data and temperature data need to be collected in the circuit to facilitate short-circuit monitoring. Specifically, the current change of the MLCC is monitored based on the current sensor arranged in the circuit to obtain the current data; and the voltage change of the MLCC is monitored based on the voltage sensor arranged in the circuit to obtain the voltage data; and the temperature change of the MLCC is monitored based on the temperature sensor arranged in the circuit to obtain the temperature data, or the temperature change of the MLCC is monitored based on a temperature detection device arranged outside the circuit to obtain the temperature data, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0028] It is worth mentioning that in practical applications, it is necessary to select appropriate voltage, current, and temperature sensors to ensure measurement accuracy and response time.

[0029] According to an embodiment of the present invention, the data analysis is performed based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters and abnormal temperature parameters, specifically including: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

[0030] It should be noted that, in this embodiment, the abnormal data at least includes current abnormality parameters, voltage abnormality parameters and temperature abnormality parameters, wherein the current abnormality parameters specifically calculate the current ratio of the real-time current in the current data to the rated current, and output the current abnormality parameters based on the current ratio, thereby obtaining the first abnormal current ratio range and the second abnormal current ratio range based on the current ratio matching.

[0031] Furthermore, the voltage abnormality parameter specifically calculates the voltage ratio of the real-time voltage in the current data to the rated voltage, outputs the voltage abnormality parameter based on the voltage ratio, and thereby obtains the first abnormal voltage ratio range and the second abnormal voltage ratio range based on the voltage ratio matching.

[0032] Furthermore, the temperature anomaly parameter specifically calculates the temperature difference between the real-time temperature in the temperature data and the rated temperature range, and outputs the temperature anomaly parameter based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained based on the matching of the temperature difference.

[0033] According to an embodiment of the present invention, the first abnormal current ratio range is [1.5, 2], the second abnormal current ratio range is (2, 20], the first abnormal voltage ratio range is [10%-8%], the second abnormal voltage ratio range is [8%, 0), the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C).

[0034] It should be noted that, in this embodiment, in the case of a short circuit, the current usually rises significantly and may reach a level several times the rated current of the capacitor, wherein the first abnormal current ratio range is [1.5, 2], and the second abnormal current ratio range is (2, 20]. Setting a monitoring threshold (such as 1.5 to 2 times the rated current) can effectively help identify potential short circuit risks, so as to take corresponding protective measures. Specifically, the instantaneous short-circuit current may reach 1.5 to 20 times the rated current at the moment of the short circuit, depending on the impedance of the power supply and the circuit. For example, if the rated current of the MLCC is 100 mA, the current may reach 150 mA to 200 mA during a short circuit. A. Grading the current can distinguish the instantaneous state of the short circuit, and thus distinguish the probability of the short circuit. Among them, the short circuit probability corresponding to the second abnormal current ratio range is much greater than that of the first abnormal current ratio range, and the treatment measures corresponding to the second abnormal current ratio range are also different from those of the first abnormal current ratio range. Since short-circuit protection measures are considered in circuit design, such as the use of fuses, overcurrent protection devices, etc., to protect MLCC and other electronic components, it is necessary to consider the current, voltage and temperature in a graded manner, which will be explained in detail later.

[0035] Furthermore, the first abnormal voltage ratio range is [10%-8%], and the second abnormal voltage ratio range is [8%, 0), wherein the short-circuit voltage refers to the voltage across the capacitor dropping to a very low level, usually close to zero, when a short-circuit state occurs in the circuit, which means that the capacitor cannot work normally and the current will flow directly through the short-circuit path. The voltage characteristics during short circuit, in an ideal case, when a short circuit occurs in the MLCC, the voltage across the capacitor will approach 0V, because all the current will flow through the short-circuit path instead of through the capacitor. However, in actual circuits, due to the influence of the internal impedance of the power supply and other components, the voltage may be slightly higher than 0V, but usually does not exceed a few volts. Therefore, the voltage ratio range is used to distinguish voltage classifications, thereby obtaining different processing measures. For example, when the voltage across the capacitor drops below 10% of the rated voltage, a short-circuit alarm is triggered. For example, if the rated voltage of the capacitor is 100V, the monitoring threshold can be set below 10V. If it is detected that the voltage suddenly drops below 5V, an alarm is immediately issued to take corresponding measures.

[0036] Furthermore, the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C). When a short circuit occurs, the current may cause the capacitor to heat up, and the temperature of the MLCC may rise rapidly. The common short circuit warning threshold in current applications is over 80°C to 100°C, which means that when the temperature reaches or exceeds this range, the capacitor may be damaged or its performance may be affected. The rated temperature is 85°C. When the temperature is in the range of [85°C, 100°C], it indicates that a short circuit may exist, and when the temperature is in the range of (100°C, 125°C), the probability of a short circuit is higher.

[0037] According to an embodiment of the present invention, the visual hierarchical display based on the abnormal data combined with the corresponding abnormal type, wherein the hierarchical display process is combined with different display mechanisms for display, specifically including: Identify the current abnormality type in the abnormal data, wherein the abnormality type includes primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality; A visual hierarchical display is performed based on the abnormality types, wherein the first level abnormality types are displayed using the first mechanism, the second level abnormality types are displayed using the second mechanism, the first level abnormality types include the first level abnormality of current, the first level abnormality of voltage and the first level abnormality of temperature, and the second level abnormality types include the second level abnormality of current, the second level abnormality of voltage and the second level abnormality of temperature.

[0038] It should be noted that, in this embodiment, the abnormality types are differently classified based on different proportions or range differences, wherein the abnormality types include primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality.

[0039] Furthermore, after obtaining the abnormality type, a visual hierarchical display can be performed based on the abnormality type, wherein the first level abnormality type is displayed using the first mechanism, and the second level abnormality type is displayed using the second mechanism, the first level abnormality type includes the first level current abnormality, the first level voltage abnormality, and the first level temperature abnormality, and the second level abnormality type includes the second level current abnormality, the second level voltage abnormality, and the second level temperature abnormality, wherein the first mechanism and the second mechanism can be explained in the form of audio alarms, but the audio frequency of the alarm of the second mechanism will be higher to distinguish different short circuit probabilities.

[0040] According to an embodiment of the present invention, in the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures, specifically including: Matching a first processing measure based on the first level of abnormality type, wherein the first processing measure includes a current level one abnormality processing measure, a voltage level one abnormality processing measure, and a temperature level one abnormality processing measure; Matching a second processing measure based on the second level abnormality type, wherein the second processing measure includes a current secondary abnormality processing measure, a voltage secondary abnormality processing measure, and a temperature secondary abnormality processing measure; The target processing measure is obtained based on the first processing measure and the second processing measure.

[0041] It should be noted that, in this embodiment, the first processing measure corresponds to the current short circuit probability, and the second processing measure corresponds to the high short circuit probability. Therefore, there are differences in the measures corresponding to different short circuit probabilities. Specifically, the first processing measure is to troubleshoot and perform confirmation detection; the second processing measure is to cut off the power supply and analyze the cause of the short circuit.

[0042] Figure 2 A block diagram of an MLCC capacitor short circuit monitoring system of the present invention is shown.

[0043] like Figure 2 As shown, the present invention discloses an MLCC capacitor short circuit monitoring system, including a memory and a processor, wherein the memory includes an MLCC capacitor short circuit monitoring method program, and when the MLCC capacitor short circuit monitoring method program is executed by the processor, the following steps are implemented: Collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; Performing data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters; Perform visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

[0044] It should be noted that in this embodiment, MLCC short circuit may cause circuit damage, or even cause fire and other safety hazards. Therefore, it is necessary to monitor the short circuit of MLCC capacitors to detect short circuit problems early. Specifically, when monitoring the short circuit of MLCC capacitors, it is monitored based on current, voltage and temperature, and threshold judgments are made based on different currents, voltages and temperatures, so that signs of short circuit can be monitored to trigger an alarm.

[0045] Specifically, operating data in the circuit is collected, wherein the operating data includes at least current data, voltage data and temperature data, and data analysis is performed based on the operating data to identify abnormal data, wherein the abnormal data includes at least current abnormality parameters, voltage abnormality parameters and temperature abnormality parameters, and after the abnormal data is monitored, a visual hierarchical display is performed based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined for display during the hierarchical display process, and in the process of visual hierarchical display, the abnormal data can be matched with a preset database to synchronously output target processing measures.

[0046] According to an embodiment of the present invention, the operation data in the acquisition circuit, wherein the operation data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0047] It should be noted that, in this embodiment, corresponding operating data such as current data, voltage data and temperature data need to be collected in the circuit to facilitate short-circuit monitoring. Specifically, the current change of the MLCC is monitored based on the current sensor arranged in the circuit to obtain the current data; and the voltage change of the MLCC is monitored based on the voltage sensor arranged in the circuit to obtain the voltage data; and the temperature change of the MLCC is monitored based on the temperature sensor arranged in the circuit to obtain the temperature data, or the temperature change of the MLCC is monitored based on a temperature detection device arranged outside the circuit to obtain the temperature data, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

[0048] It is worth mentioning that in practical applications, it is necessary to select appropriate voltage, current, and temperature sensors to ensure measurement accuracy and response time.

[0049] According to an embodiment of the present invention, the data analysis is performed based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters and abnormal temperature parameters, specifically including: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

[0050] It should be noted that, in this embodiment, the abnormal data at least includes current abnormality parameters, voltage abnormality parameters and temperature abnormality parameters, wherein the current abnormality parameters specifically calculate the current ratio of the real-time current in the current data to the rated current, and output the current abnormality parameters based on the current ratio, thereby obtaining the first abnormal current ratio range and the second abnormal current ratio range based on the current ratio matching.

[0051] Furthermore, the voltage abnormality parameter specifically calculates the voltage ratio of the real-time voltage in the current data to the rated voltage, outputs the voltage abnormality parameter based on the voltage ratio, and thereby obtains the first abnormal voltage ratio range and the second abnormal voltage ratio range based on the voltage ratio matching.

[0052] Furthermore, the temperature anomaly parameter specifically calculates the temperature difference between the real-time temperature in the temperature data and the rated temperature range, and outputs the temperature anomaly parameter based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained based on the matching of the temperature difference.

[0053] According to an embodiment of the present invention, the first abnormal current ratio range is [1.5, 2], the second abnormal current ratio range is (2, 20], the first abnormal voltage ratio range is [10%-8%], the second abnormal voltage ratio range is [8%, 0), the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C).

[0054] It should be noted that, in this embodiment, in the case of a short circuit, the current usually rises significantly and may reach a level several times the rated current of the capacitor, wherein the first abnormal current ratio range is [1.5, 2], and the second abnormal current ratio range is (2, 20]. Setting a monitoring threshold (such as 1.5 to 2 times the rated current) can effectively help identify potential short circuit risks, so as to take corresponding protective measures. Specifically, the instantaneous short-circuit current may reach 1.5 to 20 times the rated current at the moment of the short circuit, depending on the impedance of the power supply and the circuit. For example, if the rated current of the MLCC is 100 mA, the current may reach 150 mA to 200 mA during a short circuit. A. Grading the current can distinguish the instantaneous state of the short circuit, and thus distinguish the probability of the short circuit. Among them, the short circuit probability corresponding to the second abnormal current ratio range is much greater than that of the first abnormal current ratio range, and the treatment measures corresponding to the second abnormal current ratio range are also different from those of the first abnormal current ratio range. Since short-circuit protection measures are considered in circuit design, such as the use of fuses, overcurrent protection devices, etc., to protect MLCC and other electronic components, it is necessary to consider the current, voltage and temperature in a graded manner, which will be explained in detail later.

[0055] Furthermore, the first abnormal voltage ratio range is [10%-8%], and the second abnormal voltage ratio range is [8%, 0), wherein the short-circuit voltage refers to the voltage across the capacitor dropping to a very low level, usually close to zero, when a short-circuit state occurs in the circuit, which means that the capacitor cannot work normally and the current will flow directly through the short-circuit path. The voltage characteristics during short circuit, in an ideal case, when a short circuit occurs in the MLCC, the voltage across the capacitor will approach 0V, because all the current will flow through the short-circuit path instead of through the capacitor. However, in actual circuits, due to the influence of the internal impedance of the power supply and other components, the voltage may be slightly higher than 0V, but usually does not exceed a few volts. Therefore, the voltage ratio range is used to distinguish voltage classifications, thereby obtaining different processing measures. For example, when the voltage across the capacitor drops below 10% of the rated voltage, a short-circuit alarm is triggered. For example, if the rated voltage of the capacitor is 100V, the monitoring threshold can be set below 10V. If it is detected that the voltage suddenly drops below 5V, an alarm is immediately issued to take corresponding measures.

[0056] Furthermore, the first temperature difference range is [0°C, 15°C], and the second temperature difference range is (15°C, 40°C). When a short circuit occurs, the current may cause the capacitor to heat up, and the temperature of the MLCC may rise rapidly. The common short circuit warning threshold in current applications is over 80°C to 100°C, which means that when the temperature reaches or exceeds this range, the capacitor may be damaged or its performance may be affected. The rated temperature is 85°C. When the temperature is in the range of [85°C, 100°C], it indicates that a short circuit may exist, and when the temperature is in the range of (100°C, 125°C), the probability of a short circuit is higher.

[0057] According to an embodiment of the present invention, the visual hierarchical display based on the abnormal data combined with the corresponding abnormal type, wherein the hierarchical display process is combined with different display mechanisms for display, specifically including: Identify the current abnormality type in the abnormal data, wherein the abnormality type includes primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality; A visual hierarchical display is performed based on the abnormality types, wherein the first level abnormality types are displayed using the first mechanism, the second level abnormality types are displayed using the second mechanism, the first level abnormality types include the first level abnormality of current, the first level abnormality of voltage and the first level abnormality of temperature, and the second level abnormality types include the second level abnormality of current, the second level abnormality of voltage and the second level abnormality of temperature.

[0058] It should be noted that, in this embodiment, the abnormality types are differently classified based on different proportions or range differences, wherein the abnormality types include primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality.

[0059] Furthermore, after obtaining the abnormality type, a visual hierarchical display can be performed based on the abnormality type, wherein the first level abnormality type is displayed using the first mechanism, and the second level abnormality type is displayed using the second mechanism, the first level abnormality type includes the first level current abnormality, the first level voltage abnormality, and the first level temperature abnormality, and the second level abnormality type includes the second level current abnormality, the second level voltage abnormality, and the second level temperature abnormality, wherein the first mechanism and the second mechanism can be explained in the form of audio alarms, but the audio frequency of the alarm of the second mechanism will be higher to distinguish different short circuit probabilities.

[0060] According to an embodiment of the present invention, in the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures, specifically including: Matching a first processing measure based on the first level of abnormality type, wherein the first processing measure includes a current level one abnormality processing measure, a voltage level one abnormality processing measure, and a temperature level one abnormality processing measure; Matching a second processing measure based on the second level abnormality type, wherein the second processing measure includes a current secondary abnormality processing measure, a voltage secondary abnormality processing measure, and a temperature secondary abnormality processing measure; The target processing measure is obtained based on the first processing measure and the second processing measure.

[0061] It should be noted that, in this embodiment, the first processing measure corresponds to the current short circuit probability, and the second processing measure corresponds to the high short circuit probability. Therefore, there are differences in the measures corresponding to different short circuit probabilities. Specifically, the first processing measure is to troubleshoot and perform confirmation detection; the second processing measure is to cut off the power supply and analyze the cause of the short circuit.

[0062] A third aspect of the present invention provides a computer-readable storage medium, which includes an MLCC capacitor short-circuit monitoring method program. When the MLCC capacitor short-circuit monitoring method program is executed by a processor, the steps of an MLCC capacitor short-circuit monitoring method as described in any one of the above items are implemented.

[0063] The present invention discloses a MLCC capacitor short-circuit monitoring method, system and readable storage medium, which can effectively detect and prevent short-circuit problems by adopting three monitoring technologies of voltage, current and temperature, and divide the short-circuit problems into multi-level monitoring, so that monitoring can be carried out according to actual conditions, thereby improving the safety and reliability of the equipment and saving maintenance costs.

[0064] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0065] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; 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 present embodiment.

[0066] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0067] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0068] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for monitoring short circuit of MLCC capacitors, characterized in that: The following steps are involved: Collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; Performing data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters; Perform visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

2. The MLCC capacitor short circuit monitoring method according to claim 1, characterized in that: The operation data in the acquisition circuit, wherein the operation data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

3. The MLCC capacitor short circuit monitoring method according to claim 2, characterized in that: The performing of data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters, specifically includes: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

4. The MLCC capacitor short circuit monitoring method according to claim 3, characterized in that: The first abnormal current ratio range is [1.5, 2], the second abnormal current ratio range is (2, 20], the first abnormal voltage ratio range is [10%-8%], the second abnormal voltage ratio range is [8%, 0), the first temperature difference range is [0℃, 15℃], and the second temperature difference range is (15℃, 40℃).

5. The MLCC capacitor short circuit monitoring method according to claim 4, characterized in that: The visual hierarchical display based on the abnormal data combined with the corresponding abnormal type, wherein the hierarchical display process is combined with different display mechanisms for display, specifically includes: Identify the current abnormality type in the abnormal data, wherein the abnormality type includes primary current abnormality, secondary current abnormality, primary voltage abnormality, secondary voltage abnormality, primary temperature abnormality, secondary temperature abnormality, wherein the current abnormality parameter corresponding to the first abnormal current ratio range is the primary current abnormality, and the current abnormality parameter corresponding to the second abnormal current ratio range is the secondary current abnormality; the voltage abnormality parameter corresponding to the first abnormal voltage ratio range is the primary voltage abnormality, and the voltage abnormality parameter corresponding to the second abnormal voltage ratio range is the secondary voltage abnormality; the temperature abnormality parameter corresponding to the first temperature difference range is the primary temperature abnormality, and the temperature abnormality parameter corresponding to the second temperature difference range is the secondary temperature abnormality; A visual hierarchical display is performed based on the abnormality types, wherein the first level abnormality types are displayed using the first mechanism, the second level abnormality types are displayed using the second mechanism, the first level abnormality types include the first level abnormality of current, the first level abnormality of voltage and the first level abnormality of temperature, and the second level abnormality types include the second level abnormality of current, the second level abnormality of voltage and the second level abnormality of temperature.

6. The MLCC capacitor short circuit monitoring method according to claim 5, characterized in that: In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures, specifically including: Matching a first processing measure based on the first level of abnormality type, wherein the first processing measure includes a current level one abnormality processing measure, a voltage level one abnormality processing measure, and a temperature level one abnormality processing measure; Matching a second processing measure based on the second level abnormality type, wherein the second processing measure includes a current secondary abnormality processing measure, a voltage secondary abnormality processing measure, and a temperature secondary abnormality processing measure; The target processing measure is obtained based on the first processing measure and the second processing measure.

7. A MLCC capacitor short circuit monitoring system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises an MLCC capacitor short circuit monitoring method program, and when the MLCC capacitor short circuit monitoring method program is executed by the processor, the following steps are implemented: Collecting operation data in the circuit, wherein the operation data at least includes current data, voltage data and temperature data; Performing data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters; Perform visual hierarchical display based on the abnormal data in combination with the corresponding abnormal type, wherein different display mechanisms are combined in the hierarchical display process; In the process of visual hierarchical display, matching is performed based on the abnormal data in combination with a preset database to synchronously output target processing measures.

8. The MLCC capacitor short circuit monitoring system according to claim 7, characterized in that: The operation data in the acquisition circuit, wherein the operation data at least includes current data, voltage data and temperature data, specifically includes: Monitoring the current change of the MLCC based on a current sensor disposed in the circuit to obtain the current data; Monitoring the voltage change of the MLCC based on a voltage sensor disposed in the circuit to obtain the voltage data; The temperature data is obtained by monitoring the temperature change of the MLCC based on a temperature sensor arranged in the circuit, or by monitoring the temperature change of the MLCC based on a temperature detection device arranged outside the circuit, wherein the temperature sensor is arranged within a preset distance range of the MLCC, and the temperature detection device includes a thermal imager.

9. The MLCC capacitor short circuit monitoring system according to claim 8, characterized in that: The performing of data analysis based on the operating data to identify abnormal data, wherein the abnormal data at least includes abnormal current parameters, abnormal voltage parameters, and abnormal temperature parameters, specifically includes: Calculating a current ratio of a real-time current to a rated current in the current data, and outputting the current abnormality parameter based on the current ratio, wherein a first abnormal current ratio range and a second abnormal current ratio range are obtained based on current ratio matching; Calculating a voltage ratio of a real-time voltage in the current data to a rated voltage, and outputting the voltage abnormality parameter based on the voltage ratio, wherein a first abnormal voltage ratio range and a second abnormal voltage ratio range are obtained based on voltage ratio matching; The temperature difference between the real-time temperature in the temperature data and the rated temperature range is calculated, and the temperature anomaly parameter is output based on the temperature difference, wherein the first temperature difference range and the second temperature difference range are obtained by matching based on the temperature difference.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an MLCC capacitor short-circuit monitoring method program. When the MLCC capacitor short-circuit monitoring method program is executed by a processor, the steps of an MLCC capacitor short-circuit monitoring method as described in any one of claims 1 to 6 are implemented.

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