CN116953413A - Fault diagnosis system based on components and parts in cubical switchboard - Google Patents

Fault diagnosis system based on components and parts in cubical switchboard Download PDF

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Publication number
CN116953413A
CN116953413A CN202311096559.4A CN202311096559A CN116953413A CN 116953413 A CN116953413 A CN 116953413A CN 202311096559 A CN202311096559 A CN 202311096559A CN 116953413 A CN116953413 A CN 116953413A
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analyzed
voltage
signal
fault diagnosis
load
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王政
王剑
孙清杰
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Jianneng Electric Co ltd
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Jianneng Electric Co ltd
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Priority to CN202311096559.4A priority Critical patent/CN116953413A/en
Publication of CN116953413A publication Critical patent/CN116953413A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching

Abstract

The application discloses a fault diagnosis system based on components in a switch cabinet, which comprises a parameter real-time acquisition unit, a fault type matching unit and a fault information output unit, relates to the technical field of component fault diagnosis, and solves the technical problems that the fault range cannot be well narrowed and reasonable fault cause positioning cannot be performed according to data.

Description

Fault diagnosis system based on components and parts in cubical switchboard
Technical Field
The application relates to the technical field of component fault diagnosis, in particular to a fault diagnosis system based on components in a switch cabinet.
Background
The electronic components are components of electronic elements and electric small-sized machines and instruments, are generally composed of a plurality of parts, can be commonly used in similar products, and are different in function aiming at the components in the switch cabinet, and the faults of the switch cabinet need to be diagnosed in the using process of the switch cabinet.
When the existing fault diagnosis system is used, the acquired real-time data are compared with normal data to obtain a result, then the abnormal result is displayed to an operator for subsequent maintenance through the operator, the fault range cannot be narrowed in such a way, meanwhile, the fault cause of the component cannot be reasonably diagnosed and analyzed, and the operator is required to perform fault diagnosis subsequently, so that the time is wasted.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a fault diagnosis system based on components in a switch cabinet, which solves the problems that the fault range cannot be well narrowed and the reasonable fault cause positioning cannot be performed according to data.
In order to achieve the above purpose, the application is realized by the following technical scheme: a fault diagnosis system based on components and parts inside a switch cabinet, comprising:
the real-time parameter acquisition unit is used for acquiring real-time parameters of a target object, wherein the target object comprises: the components and parts, real-time parameters include: performing fault diagnosis analysis on the components according to the real-time parameters of the target object, and generating corresponding analysis results, wherein the analysis results comprise: the fault diagnosis normal signal and the fault diagnosis abnormal signal are transmitted to the parameter normal monitoring unit at the same time, and the fault diagnosis abnormal signal is transmitted to the fault type matching unit;
the fault type matching unit is configured to obtain a target object corresponding to the transmitted fault diagnosis abnormal signal, that is, obtain all objects m to be analyzed, analyze the target object m, and then obtain a history record stored in the history record storage unit, where the history record includes: and simultaneously carrying out fault type matching on the object m to be analyzed by combining the fault diagnosis type classification model with the history record, and generating a corresponding matching result, wherein the matching result comprises the following steps: a matching success signal and a matching failure signal, and transmitting a matching result to a fault information output unit;
the real-time parameter analysis unit is used for acquiring the transmitted matching failure signal and the corresponding object m to be analyzed, and generating a corresponding analysis result through real-time load analysis of the object m to be analyzed, wherein the analysis result comprises the following steps: the load early warning signal and the normal monitoring signal, and transmitting the analysis result to the fault information generating unit;
the fault information generation unit is used for acquiring and analyzing the transmitted analysis result, analyzing the load early-warning signal by combining the electrical impedance information of the object m to be analyzed to generate corresponding fault information, and transmitting the fault information to the fault information output unit;
the parameter normal monitoring unit is used for acquiring the transmitted fault diagnosis normal signal and the corresponding monitoring object n, and analyzing the monitoring object n according to the power supply voltage to generate a corresponding normal analysis result, wherein the normal analysis result comprises the following components: the low voltage signal and the high voltage signal, and transmitting the normal analysis result to the parameter analysis early warning unit.
As a further aspect of the application: the specific mode of generating the analysis result by the real-time parameter acquisition unit is as follows:
s1: marking the target object as i, simultaneously acquiring voltage and current corresponding to the target object i and marking the voltage and current as DYI and DLi, wherein i represents components with different marks, then acquiring the whole voltage as DYz, and comparing the voltage of the target object i with the whole voltage DYz;
s2: if dyi+. DYz, it is determined that there is an abnormality in the corresponding target object i and a fault diagnosis abnormality signal is generated, whereas if dyi= DYz, it is determined that there is no abnormality in the corresponding target object i and a fault diagnosis normal signal is generated. Specifically, in the application, components in the default switch cabinet are connected in parallel, and the components are selected and screened according to the principle that all voltages connected in parallel are the same.
S3: the method comprises the steps of acquiring target objects i corresponding to all fault diagnosis abnormal signals, dividing the target objects i into objects to be analyzed and marking the objects as m, acquiring all fault diagnosis normal signals, classifying the fault diagnosis normal signals as monitoring objects and marking the monitoring objects as n, wherein m+n=i.
As a further aspect of the application: the specific way of generating the matching result by the fault type matching unit is as follows:
p1: recording and recording the voltage of the object m to be analyzed with the time t as DYm, obtaining the voltage of the object m to be analyzed in n time periods t, drawing a relation diagram of the time and the voltage, and analyzing and drawing the current of the object m to be analyzed in the same way;
p2: then, calculating the voltage difference value of the object m to be analyzed in two adjacent time periods t as DYc, wherein the voltage difference value is calculated by subtracting the voltage value of the next time period from the voltage value of the previous time period, and comparing the adjacent voltage difference values DYc, so as to judge the voltage change condition of the object m to be analyzed, and the voltage change condition comprises: voltage increase and voltage decrease;
p3: and matching the m voltage change condition of the object to be analyzed with the fault diagnosis classification model, directly generating a matching success signal if the m voltage change condition of the object to be analyzed exists in the fault diagnosis classification model, outputting fault diagnosis reasons corresponding to the matching success together, and otherwise, generating a matching failure signal if the m voltage change condition of the object to be analyzed does not exist in the fault diagnosis classification model.
As a further aspect of the application: the specific mode of generating analysis information by the real-time parameter analysis unit is as follows:
a1: acquiring all the monitoring objects n, calculating according to the load records of the monitoring objects n to obtain an average load record of the monitoring objects n as FZp, and taking the average load as a comparison standard value; what needs to be explained here is: the method comprises the steps of calculating according to historical load records of monitoring objects, wherein the load average value in the historical record of a single monitoring object is calculated in the first step, and the average value is calculated after summing all the calculated load average values in the second step, so that FZp is finally obtained.
A2: then, the real-time load mark of the object m to be analyzed is obtained as FZm, and the object mark corresponding to the load is represented by m, meanwhile, the maximum load mark of the object m to be analyzed is obtained as FZm, and then, the real-time load FZm of the object to be analyzed is compared with the comparison standard value FZm1, wherein the specific comparison mode is as follows:
a21: when FZm is more than or equal to FZm1, the system judges that the real-time load of the object m to be analyzed exceeds the maximum load value and generates a load early warning signal, whereas when FZm is less than FZm1, the system judges that the real-time load of the object m to be analyzed does not exceed the maximum load value and generates a load analysis signal;
a22: acquiring a load analysis signal and comparing a real-time load FZm with a comparison standard value FZp, when FZm is more than or equal to 80% FZp, determining that the real-time load of the object m to be analyzed exceeds the comparison standard value by the system, and generating a load early warning signal, otherwise, when FZm is less than 80% FZp, determining that the real-time load of the object m to be analyzed does not exceed the comparison standard value by the system, and generating a normal monitoring signal; specifically, if the load is compared, a load early warning signal is generated, the corresponding object to be analyzed is screened and marked, and the marked object to be analyzed is indicated to have faults.
As a further aspect of the application: the specific mode of generating the fault information by the fault information generating unit is as follows:
b1: acquiring real-time voltage DYm and real-time current DLm of an object m to be analyzed corresponding to the load operation signal, and then calculating the electrical impedance value of the object m to be analyzedSimultaneously comparing the electrical impedance value Rm of the object md to be analyzed with the electrical impedance value Rn of the monitored object n; specifically, the monitoring object is represented as a component having no abnormal operation;
b2: and comparing Rm with Rn, if Rm is more than or equal to Rn, judging that the resistance value of the object m to be analyzed exceeds the normal resistance value by the system, if Rm is less than Rn, judging that the resistance value of the object m to be analyzed does not exceed the normal resistance value by the system, acquiring the temperature value of the object m to be analyzed as Wm, analyzing the temperature value, and generating corresponding fault information according to the relation between the temperature value Wm and the resistance value Rm. Specifically, in general, an increase in temperature causes an increase in resistance value, resulting in a decrease in voltage and a decrease in current; the temperature drop may cause voltage rise and current rise, if the resistance increases and the temperature decreases, the problem of the component is shown, otherwise, the temperature abnormality of the component is shown by the increase of the resistance and the increase of the temperature, and the reasonable adjustment of the temperature is needed.
As a further aspect of the application: the normal analysis result is generated by the parameter normal monitoring unit in the following way:
the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a low voltage signal, whereas when De < Dn, the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a high voltage signal.
As a further aspect of the application: the mode of generating normal early warning information by the parameter analysis early warning unit is as follows:
taking the time T as a period, acquiring rated voltage values of the monitoring object n in three time periods T, then calculating rated voltage difference values of the monitoring object n in two adjacent time periods T, judging the change condition of the rated voltage difference values, judging that the power supply voltage is overlarge when the rated voltage difference values are increased, generating a power supply voltage increase signal by the system, and otherwise, judging that the power supply voltage is reduced and generating a voltage reduction signal by the system when the rated voltage difference values are reduced.
Advantageous effects
The application provides a fault diagnosis system based on components in a switch cabinet. Compared with the prior art, the method has the following beneficial effects:
according to the application, the components of the switch cabinet are primarily analyzed according to the voltage and the current to judge whether abnormal working conditions occur, different analyses are carried out according to different working states, the components aiming at the abnormal conditions carry out reasonable early warning prompt on the whole components by analyzing the load and the temperature of the components, meanwhile, the fault range of the components can be narrowed according to the load, the components aiming at the normal conditions are monitored in real time, the monitoring states are intuitively fed back through the obtained monitoring data, and therefore, early warning can be carried out quickly and timely according to the data.
Drawings
FIG. 1 is a block diagram of a system of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides a fault diagnosis system based on components in a switch cabinet, including:
the real-time parameter acquisition unit is used for acquiring real-time parameters of a target object, wherein the target object comprises: the components and parts, real-time parameters include: performing fault diagnosis analysis on the components according to the real-time parameters of the target object, and generating corresponding analysis results, wherein the analysis results comprise: the specific modes of generating the analysis result are as follows:
s1: the target object is marked as i by marking, the voltage and the current corresponding to the target object i are obtained and marked as DYi and DLi, components with different marks are indicated by i, then the whole voltage is obtained and marked as DYz, and the voltage of the target object i is compared with the whole voltage DYz.
S2: if dyi+. DYz, it is determined that there is an abnormality in the corresponding target object i and a fault diagnosis abnormality signal is generated, whereas if dyi= DYz, it is determined that there is no abnormality in the corresponding target object i and a fault diagnosis normal signal is generated. Specifically, in the application, components in the default switch cabinet are connected in parallel, and the components are selected and screened according to the principle that all voltages connected in parallel are the same.
S3: the method comprises the steps of acquiring target objects i corresponding to all fault diagnosis abnormal signals, dividing the target objects i into objects to be analyzed and marking the objects as m, acquiring all fault diagnosis normal signals, classifying the fault diagnosis normal signals as monitoring objects and marking the monitoring objects as n, wherein m+n=i.
The fault type matching unit is configured to obtain a target object corresponding to the transmitted fault diagnosis abnormal signal, that is, obtain all objects m to be analyzed, analyze the target object m, and then obtain a history record stored in the history record storage unit, where the history record includes: and simultaneously carrying out fault type matching on the object m to be analyzed by combining the fault diagnosis type classification model with the history record, and generating a corresponding matching result, wherein the matching result comprises the following steps: the matching success signal and the matching failure signal are transmitted to the fault information output unit, and the specific mode for generating the matching result is as follows:
p1: recording and recording the voltage of the object m to be analyzed with the time t as DYm, obtaining the voltage of the object m to be analyzed in n time periods t, drawing a relation diagram of the time and the voltage, and analyzing and drawing the current of the object m to be analyzed in the same way;
p2: then, calculating the voltage difference value of the object m to be analyzed in two adjacent time periods t as DYc, wherein the voltage difference value is calculated by subtracting the voltage value of the next time period from the voltage value of the previous time period, and comparing the adjacent voltage difference values DYc, so as to judge the voltage change condition of the object m to be analyzed, and the voltage change condition comprises: voltage increase and voltage decrease;
p3: and matching the m voltage change condition of the object to be analyzed with the fault diagnosis classification model, directly generating a matching success signal if the m voltage change condition of the object to be analyzed exists in the fault diagnosis classification model, outputting fault diagnosis reasons corresponding to the matching success together, and otherwise, generating a matching failure signal if the m voltage change condition of the object to be analyzed does not exist in the fault diagnosis classification model. The specific fault diagnosis classification model is used for classifying and recording faults occurring in the history record, and generating a corresponding fault classification model by analyzing and sorting the voltage and the current, and the fault classification model is conformed to the fault classification model in the voltage and the current analysis, so that the reasons of the faults can be directly positioned, and the time for an operator to continuously position the reasons of the faults is saved.
The fault information output unit is used for acquiring the transmitted matching result and displaying the matching result to an operator through the display equipment.
In the second embodiment, as the second embodiment of the present application, the difference from the first embodiment is that the failure type matching unit transmits the generated matching failure result to the real-time parameter analysis unit and analyzes it.
The real-time parameter analysis unit is used for acquiring the transmitted matching failure signal and the corresponding object m to be analyzed, and generating corresponding analysis information through real-time load analysis of the object m to be analyzed, wherein the analysis information comprises: the load early warning signal and the normal monitoring signal, and transmit the analysis information to the fault information generating unit, and the specific generation mode of the analysis information is as follows:
a1: acquiring all the monitoring objects n, calculating according to the load records of the monitoring objects n to obtain an average load record of the monitoring objects n as FZp, and taking the average load as a comparison standard value; what needs to be explained here is: the method comprises the steps of calculating according to historical load records of monitoring objects, wherein the load average value in the historical record of a single monitoring object is calculated in the first step, and the average value is calculated after summing all the calculated load average values in the second step, so that FZp is finally obtained.
A2: then, the real-time load mark of the object m to be analyzed is obtained as FZm, and the object mark corresponding to the load is represented by m, meanwhile, the maximum load mark of the object m to be analyzed is obtained as FZm, and then, the real-time load FZm of the object to be analyzed is compared with the comparison standard value FZm1, wherein the specific comparison mode is as follows:
a21: when FZm is more than or equal to FZm1, the system judges that the real-time load of the object m to be analyzed exceeds the maximum load value and generates a load early warning signal, whereas when FZm is less than FZm1, the system judges that the real-time load of the object m to be analyzed does not exceed the maximum load value and generates a load analysis signal;
a22: acquiring a load analysis signal and comparing a real-time load FZm with a comparison standard value FZp, when FZm is more than or equal to 80% FZp, determining that the real-time load of the object m to be analyzed exceeds the comparison standard value by the system, and generating a load early warning signal, otherwise, when FZm is less than 80% FZp, determining that the real-time load of the object m to be analyzed does not exceed the comparison standard value by the system, and generating a normal monitoring signal; specifically, if the load is compared, a load early warning signal is generated, the corresponding object to be analyzed is screened and marked, and the marked object to be analyzed is indicated to have faults.
The fault information generating unit is used for acquiring and analyzing the transmitted analysis result, analyzing the load early-warning signal by combining the electrical impedance information of the object m to be analyzed to generate corresponding fault information, transmitting the fault information to the fault information output unit, and generating the fault information in the following specific mode:
b1: acquiring real-time voltage DYm and real-time current DLm of an object m to be analyzed corresponding to the load operation signal, and then calculating the electrical impedance value of the object m to be analyzedSimultaneously comparing the electrical impedance value Rm of the object md to be analyzed with the electrical impedance value Rn of the monitored object n; specifically, the monitoring object is represented as a component having no abnormal operation;
b2: and comparing Rm with Rn, if Rm is more than or equal to Rn, judging that the resistance value of the object m to be analyzed exceeds the normal resistance value by the system, if Rm is less than Rn, judging that the resistance value of the object m to be analyzed does not exceed the normal resistance value by the system, acquiring the temperature value of the object m to be analyzed as Wm, analyzing the temperature value, and generating corresponding fault information according to the relation between the temperature value Wm and the resistance value Rm. Specifically, in general, an increase in temperature causes an increase in resistance value, resulting in a decrease in voltage and a decrease in current; the temperature drop may cause voltage rise and current rise, if the resistance increases and the temperature decreases, the problem of the component is shown, otherwise, the temperature abnormality of the component is shown by the increase of the resistance and the increase of the temperature, and the reasonable adjustment of the temperature is needed.
And the fault information output unit is used for acquiring the transmitted fault information and displaying the fault information to an operator through the display equipment.
The third embodiment of the present application is different from the first and second embodiments in that the parameter real-time acquisition unit transmits the generated failure diagnosis normal signal to the parameter normal monitoring unit and analyzes it.
The parameter normal monitoring unit is used for acquiring the transmitted fault diagnosis normal signal and the corresponding monitoring object n, and analyzing the monitoring object n according to the power supply voltage to generate a corresponding normal analysis result, wherein the normal analysis result comprises the following components: the low-voltage signal and the high-voltage signal, and the normal analysis result is transmitted to the parameter analysis early warning unit, and the normal analysis result is generated in the following way:
the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a low voltage signal, whereas when De < Dn, the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a high voltage signal.
The parameter analysis early warning unit is used for acquiring and analyzing a transmitted normal analysis result, monitoring and early warning are carried out through the change condition of the rated voltage of the monitored object n to generate corresponding normal early warning information, and the normal early warning information comprises: the power supply voltage increasing signal and the power supply voltage decreasing signal are transmitted to the fault information output unit, and the specific mode of generating the normal early warning information is as follows:
taking the time T as a period, acquiring rated voltage values of the monitoring object n in three time periods T, then calculating rated voltage difference values of the monitoring object n in two adjacent time periods T, judging the change condition of the rated voltage difference values, judging that the power supply voltage is overlarge when the rated voltage difference values are increased, generating a power supply voltage increase signal by the system, and otherwise, judging that the power supply voltage is reduced and generating a voltage reduction signal by the system when the rated voltage difference values are reduced.
The fault information output unit is used for acquiring the transmitted normal early warning information and displaying the normal early warning information to an operator through the display equipment.
In the fourth embodiment, as the fourth embodiment of the present application, the emphasis is placed on the implementation of the first, second and third embodiments in combination.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.

Claims (8)

1. Fault diagnosis system based on the inside components and parts of cubical switchboard, its characterized in that includes:
the real-time parameter acquisition unit is used for acquiring real-time parameters of a target object, wherein the target object comprises: the components and parts, real-time parameters include: performing fault diagnosis analysis on the components according to the real-time parameters of the target object, and generating corresponding analysis results, wherein the analysis results comprise: the fault diagnosis normal signal and the fault diagnosis abnormal signal are transmitted to the parameter normal monitoring unit at the same time, and the fault diagnosis abnormal signal is transmitted to the fault type matching unit;
the fault type matching unit is used for acquiring a target object corresponding to the transmitted fault diagnosis abnormal signal, analyzing the target object, and then acquiring a history record stored by the history record storage unit, wherein the history record comprises: and simultaneously carrying out fault type matching on the object m to be analyzed by combining the fault diagnosis type classification model with the history record, and generating a corresponding matching result, wherein the matching result comprises the following steps: a matching success signal and a matching failure signal, and transmitting a matching result to a fault information output unit;
the real-time parameter analysis unit is used for acquiring the transmitted matching failure signal and the corresponding object m to be analyzed, and generating a corresponding analysis result through real-time load analysis of the object m to be analyzed, wherein the analysis result comprises the following steps: the load early warning signal and the normal monitoring signal, and transmitting the analysis result to the fault information generating unit;
the fault information generation unit is used for acquiring and analyzing the transmitted analysis result, analyzing the load early-warning signal by combining the electrical impedance information of the object m to be analyzed to generate corresponding fault information, and transmitting the fault information to the fault information output unit;
the parameter normal monitoring unit is used for acquiring the transmitted fault diagnosis normal signal and the corresponding monitoring object n, and analyzing the monitoring object n according to the power supply voltage to generate a corresponding normal analysis result, wherein the normal analysis result comprises the following components: the low voltage signal and the high voltage signal, and transmitting the normal analysis result to the parameter analysis early warning unit.
2. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the specific way for the real-time parameter obtaining unit to generate the analysis result is as follows:
s1: marking the target object as i, simultaneously acquiring voltage and current corresponding to the target object i and marking the voltage and current as DYI and DLi, wherein i represents components with different marks, then acquiring the whole voltage as DYz, and comparing the voltage of the target object i with the whole voltage DYz;
s2: if DYi is not equal to DYz, determining that the corresponding target object i is abnormal, and generating a fault diagnosis abnormal signal at the same time, otherwise, if DYi is not equal to DYz, determining that the corresponding target object i is not abnormal, and generating a fault diagnosis normal signal at the same time;
s3: the method comprises the steps of acquiring target objects i corresponding to all fault diagnosis abnormal signals, dividing the target objects i into objects to be analyzed and marking the objects as m, acquiring all fault diagnosis normal signals, classifying the fault diagnosis normal signals as monitoring objects and marking the monitoring objects as n, wherein m+n=i.
3. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the specific way for the fault type matching unit to generate the matching result is:
p1: recording and recording the voltage of the object m to be analyzed with the time t as DYm, obtaining the voltage of the object m to be analyzed in n time periods t, drawing a relation diagram of the time and the voltage, and analyzing and drawing the current of the object m to be analyzed in the same way;
p2: then, calculating the voltage difference value of the object m to be analyzed in two adjacent time periods t as DYc, wherein the voltage difference value is calculated by subtracting the voltage value of the next time period from the voltage value of the previous time period, and comparing the adjacent voltage difference values DYc, so as to judge the voltage change condition of the object m to be analyzed, and the voltage change condition comprises: voltage increase and voltage decrease;
p3: and matching the m voltage change condition of the object to be analyzed with the fault diagnosis classification model, directly generating a matching success signal if the m voltage change condition of the object to be analyzed exists in the fault diagnosis classification model, outputting fault diagnosis reasons corresponding to the matching success together, and otherwise, generating a matching failure signal if the m voltage change condition of the object to be analyzed does not exist in the fault diagnosis classification model.
4. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the specific way for the real-time parameter analysis unit to generate analysis information is as follows:
a1: acquiring all the monitoring objects n, calculating according to the load records of the monitoring objects n to obtain an average load record of the monitoring objects n as FZp, and taking the average load as a comparison standard value;
a2: then, the real-time load mark of the object m to be analyzed is obtained as FZm, and the object mark corresponding to the load is represented by m, meanwhile, the maximum load mark of the object m to be analyzed is obtained as FZm, and then, the real-time load FZm of the object to be analyzed is compared with the comparison standard value FZm1, wherein the specific comparison mode is as follows:
a21: when FZm is more than or equal to FZm1, the system judges that the real-time load of the object m to be analyzed exceeds the maximum load value and generates a load early warning signal, whereas when FZm is less than FZm1, the system judges that the real-time load of the object m to be analyzed does not exceed the maximum load value and generates a load analysis signal;
a22: and acquiring a load analysis signal and comparing the real-time load FZm with a comparison standard value FZp, when FZm is more than or equal to 80% FZp, the system judges that the real-time load of the object m to be analyzed exceeds the comparison standard value and generates a load early warning signal, otherwise, when FZm is less than 80% FZp, the system judges that the real-time load of the object m to be analyzed does not exceed the comparison standard value and generates a normal monitoring signal.
5. The fault diagnosis system based on components inside a switchgear cabinet according to claim 1, wherein the specific manner in which the fault information generating unit generates the fault information is:
b1: acquiring real-time voltage DYm and real-time current DLm of an object m to be analyzed corresponding to the load operation signal, and then calculating the electrical impedance value of the object m to be analyzedSimultaneously comparing the electrical impedance value Rm of the object md to be analyzed with the electrical impedance value Rn of the monitored object n;
b2: and comparing Rm with Rn, if Rm is more than or equal to Rn, judging that the resistance value of the object m to be analyzed exceeds the normal resistance value by the system, if Rm is less than Rn, judging that the resistance value of the object m to be analyzed does not exceed the normal resistance value by the system, acquiring the temperature value of the object m to be analyzed as Wm, analyzing the temperature value, and generating corresponding fault information according to the relation between the temperature value Wm and the resistance value Rm.
6. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the parameter normal monitoring unit generates a normal analysis result in the following manner:
the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a low voltage signal, whereas when De < Dn, the system determines that the voltage rating of the monitoring object n exceeds the power supply voltage value and generates a high voltage signal.
7. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the parameter analysis and early warning unit generates normal early warning information in the following manner:
taking the time T as a period, acquiring rated voltage values of the monitoring object n in three time periods T, then calculating rated voltage difference values of the monitoring object n in two adjacent time periods T, judging the change condition of the rated voltage difference values, judging that the power supply voltage is overlarge when the rated voltage difference values are increased, generating a power supply voltage increase signal by the system, and otherwise, judging that the power supply voltage is reduced and generating a voltage reduction signal by the system when the rated voltage difference values are reduced.
8. The fault diagnosis system based on components inside a switch cabinet according to claim 1, wherein the fault information output unit is configured to obtain the transmitted normal early warning information, fault information and matching result, and display the same to an operator through a display device.
CN202311096559.4A 2023-08-28 2023-08-28 Fault diagnosis system based on components and parts in cubical switchboard Pending CN116953413A (en)

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