CN115343558A - Fault analysis and detection system of low-voltage apparatus - Google Patents
Fault analysis and detection system of low-voltage apparatus Download PDFInfo
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Abstract
The invention discloses a fault analysis and detection system of a low-voltage apparatus, which belongs to the technical field of fault analysis and detection of the low-voltage apparatus, and comprises a monitoring module, a display module, an analysis module, a detection module and a server, wherein the monitoring module is used for identifying the low-voltage apparatus which correspondingly fails when the low-voltage apparatus fails, acquiring corresponding fault problems and monitoring process data in corresponding time periods; the display module is used for establishing a display model and displaying monitoring information of the low-voltage apparatus in real time; the analysis module is used for analyzing the low-voltage electrical appliance with the fault, and comprises a reason analysis unit; the reason analysis unit is used for analyzing the low-voltage electrical appliance with the fault to obtain fault reason analysis data; the detection module is used for carrying out similar detection when the low-voltage apparatus fails, acquiring corresponding failure reason analysis data, and determining the low-voltage apparatus to be detected and a corresponding detection method according to the acquired failure reason analysis data.
Description
Technical Field
The invention belongs to the technical field of fault analysis and detection of low-voltage apparatuses, and particularly relates to a fault analysis and detection system of a low-voltage apparatus.
Background
The low-voltage electrical appliance is an element or equipment which can be manually or automatically switched on and off according to external signals and requirements so as to realize switching, control, protection, detection, transformation and regulation of circuits or non-electric objects. The control devices can be divided into two types, i.e., high-voltage control devices and low-voltage control devices, according to the working voltage of the control devices, which is bounded by alternating current 1200V and direct current 1500V. The low-voltage electrical apparatus can be divided into two categories, namely a distribution electrical apparatus and a control electrical apparatus, and is a basic component of a complete set of electrical equipment. In industry, agriculture and traffic, low-voltage power supply is mostly adopted, the application field is wide, when a low-voltage electrical appliance has a fault, the low-voltage electrical appliance with the corresponding fault is identified through the existing monitoring system, then the low-voltage electrical appliance with the fault is overhauled, and other low-voltage electrical appliances without the fault cannot be well detected.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a fault analysis and detection system of a low-voltage apparatus.
The purpose of the invention can be realized by the following technical scheme:
a fault analysis and detection system of a low-voltage apparatus comprises a monitoring module, a display module, an analysis module, a detection module and a server, wherein the monitoring module is used for identifying the low-voltage apparatus which correspondingly fails when the low-voltage apparatus fails, acquiring corresponding fault problems and monitoring process data in corresponding time periods;
the display module is used for establishing a display model and displaying monitoring information of the low-voltage apparatus in real time;
the analysis module is used for analyzing the low-voltage electrical appliance with the fault, and comprises a reason analysis unit;
the reason analysis unit is used for analyzing the low-voltage electrical appliance with the fault, acquiring corresponding fault problems and monitoring process data, identifying the types and models of the corresponding low-voltage electrical appliances, integrating the fault problems, the monitoring process data, the types and the models of the low-voltage electrical appliances into reason analysis input data, establishing a reason analysis model, inputting the reason analysis input data into the reason analysis model for analysis, and acquiring fault reason analysis data;
the detection module is used for carrying out similar detection when the low-voltage apparatus fails to obtain corresponding failure reason analysis data, determining the low-voltage apparatus to be detected and a corresponding detection method according to the obtained failure reason analysis data, marking the low-voltage apparatus to be detected as a detection target, and detecting the corresponding detection target by the obtained detection method to obtain a detection result.
Further, the working method of the display module comprises the following steps:
establishing a display model, and acquiring monitoring information of a monitoring module in real time, wherein the monitoring information comprises no fault information and fault information, and the fault information comprises information of a corresponding low-voltage apparatus with a fault and a fault problem; when the monitoring information is fault-free information, the operation is not carried out; and when the monitoring information is fault information, identifying corresponding low-voltage apparatus information, and correspondingly marking in the low-voltage apparatus model according to the identified low-voltage apparatus information.
Further, the method for establishing the display model comprises the following steps:
the method comprises the steps of obtaining a low-voltage apparatus information graph, establishing a low-voltage apparatus model according to the obtained low-voltage apparatus information graph, identifying the position relation among the low-voltage apparatuses, fixing the low-voltage apparatuses according to the identified position relation, obtaining the connection relation among the low-voltage apparatuses, connecting the corresponding low-voltage apparatus models according to the obtained connection relation, obtaining a display model, and supplementing information to the display model according to the low-voltage apparatus information graph.
Further, the method for determining the low-voltage apparatus to be detected and the corresponding detection method according to the obtained fault cause analysis data comprises the following steps:
establishing a fault reason library, matching a corresponding low-voltage electric appliance group from the fault reason library according to the obtained fault reason analysis data, and matching the obtained low-voltage electric appliance group with a low-voltage electric appliance in a display model to obtain a low-voltage electric appliance needing to be detected; and matching the low-voltage electrical appliances detected according to the needs with the corresponding detection method from the fault cause library.
Further, the method for establishing the fault reason library comprises the following steps:
acquiring fault reason analysis data of each low-voltage apparatus, performing low-voltage apparatus statistical classification according to the fault reason analysis data, and establishing a statistical classification table according to corresponding statistical classification data; setting a detection method of each low-voltage apparatus under the fault reason analysis data according to the established statistical classification table; and summarizing and establishing a fault reason library according to the set detection method and the statistical classification table.
Furthermore, the analysis module also comprises an influence analysis unit, and the influence analysis unit is used for analyzing the influence of the failed low-voltage apparatus on the current line.
Further, the working method of the influence analysis unit comprises the following steps:
establishing an influence model according to the display model, identifying a single influence value and a weight coefficient corresponding to each low-voltage apparatus model in the influence model in real time, and marking the low-voltage apparatus models in the same influence group as i, wherein i =1, 2, … …, n is a positive integer; marking the obtained single influence value as DYi, marking the weight coefficient as beta i, and obtaining the weight coefficient by formula
Calculating the comprehensive influence value of each influence group, and establishing an influence value coordinate according to the calculated comprehensive influence value; and analyzing the obtained influence value coordinates to obtain the influence of the failed low-voltage apparatus on the current line.
Further, the method for establishing the influence model according to the display model comprises the following steps:
setting an influence group according to the connection relation between low-voltage electric appliance models in the display model, and correspondingly marking in the display model; identifying each low-voltage apparatus in the influence group, marking the low-voltage apparatus as a first node, acquiring a fault type of the first node, setting a fault type combination of each first node based on big data analysis, setting a single influence value and a weight coefficient corresponding to each first node in each fault type combination, and establishing a state statistical table according to the fault type combination, the single influence value and the weight coefficient corresponding to each first node; and setting assignment nodes in the display model according to the established state statistical table, wherein the assignment nodes are used for directly matching corresponding single influence values and weight coefficients according to the states of the low-voltage electric appliance models, carrying out corresponding marking and marking the current display model as an influence model.
Compared with the prior art, the invention has the beneficial effects that: through the mutual matching among the monitoring module, the display module, the analysis module and the detection module, the influence caused by the fault is analyzed in time when the low-voltage electrical appliance has the fault, and corresponding staff can conveniently make corresponding counter measures in time according to the influence; and corresponding fault reasons are analyzed according to the fault problems, which voltage electrical appliances are likely to have the same fault are analyzed, then the pertinence detection is carried out, the faults which are likely to occur to other low-voltage electrical appliances are detected in advance, and then the low-voltage electrical appliances are overhauled or replaced in advance.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1, a fault analysis and detection system for a low-voltage apparatus includes a monitoring module, a display module, an analysis module, a detection module, and a server;
the monitoring module, the display module, the analysis module and the detection module are all in communication connection with the server;
the monitoring module is used for identifying the low-voltage apparatus which correspondingly fails when the low-voltage apparatus fails, acquiring corresponding failure problems and monitoring process data in corresponding time periods, wherein the specific time periods are set by expert groups and are used for subsequent failure reason analysis, and the specific time periods are the current existing failure monitoring module, so that detailed description is omitted.
The display module is used for displaying monitoring information of the low-voltage apparatus in real time, and the specific method comprises the following steps:
acquiring a low-voltage apparatus information graph, namely an information graph comprising the type information, the connection relation, the position and the like of the low-voltage apparatus; establishing a low-voltage apparatus model according to the obtained low-voltage apparatus information graph, wherein the low-voltage apparatus model is established by the existing three-dimensional modeling technology, but only the low-voltage apparatuses with corresponding types can be indicated, the models do not need to be established completely according to corresponding appearances and structures, the position relation among the low-voltage apparatuses is identified, the low-voltage apparatuses are fixed according to the identified position relation, the connection relation among the low-voltage apparatuses is obtained, the corresponding low-voltage apparatus models are connected according to the obtained connection relation, a display model is obtained, the display model is subjected to information supplement according to the low-voltage apparatus information graph, and the supplement marking is carried out on information data such as connection circuits, low-voltage apparatus models and the like;
acquiring monitoring information of a monitoring module in real time, wherein the monitoring information comprises no fault information and fault information, and the fault information comprises information of a corresponding low-voltage electrical appliance with a fault and a fault problem; when the monitoring information is fault-free information, the operation is not carried out; and when the monitoring information is fault information, identifying corresponding low-voltage electrical appliance information, and correspondingly marking in the low-voltage electrical appliance model according to the identified low-voltage electrical appliance information.
The analysis module is used for analyzing the low-voltage electrical appliance with the fault, and comprises a reason analysis unit and an influence analysis unit;
the influence analysis unit is used for analyzing the influence of a low-voltage apparatus with a fault on a current line, and the specific method comprises the following steps:
establishing an influence model according to the display model, identifying a single influence value and a weight coefficient corresponding to each low-voltage apparatus model in the influence model in real time, and marking the low-voltage apparatus models in the same influence group as i, wherein i =1, 2, … …, n is a positive integer; marking the obtained single influence value as DYi, marking the weight coefficient as beta i, and obtaining the weight coefficient by formula
Calculating the comprehensive influence value of each influence group, and establishing an influence value coordinate according to the calculated comprehensive influence value; that is, the comprehensive influence values corresponding to the influence groups are integrated into an influence value coordinate, if the comprehensive influence values corresponding to the influence groups are 6, 14,0 and 0, the influence value coordinate is (6, 14,0,0), the obtained influence value coordinate is analyzed, and the influence of the failed low-voltage apparatus on the current line is obtained.
The method for establishing the influence model according to the display model comprises the following steps:
setting an influence group according to the connection relation between low-voltage electric appliance models in the display model, and correspondingly marking in the display model; the line combination which can generate corresponding influence when a certain or some low-voltage electric appliances have faults is judged in a manual mode according to the corresponding connection relation, and corresponding marking can be carried out in a manual mode, so that detailed description is omitted; identifying each low-voltage apparatus in the influence group, marking as a first node, acquiring fault types possibly possessed by the first node, setting fault type combinations of each first node based on big data analysis, and setting a single influence value and a weight coefficient corresponding to each first node in each fault type combination, wherein the specific single influence value and the weight coefficient are set by discussion of an expert group; establishing a state statistical table according to the fault type combination, the single influence value corresponding to each first node and the weight coefficient; and setting assignment nodes in the display model according to the established state statistical table, wherein the assignment nodes are used for directly matching corresponding single influence values and weight coefficients according to the states of the low-voltage electric appliance models, carrying out corresponding marking and marking the current display model as an influence model.
And setting fault type combinations of the first nodes based on big data analysis, namely setting state combinations which possibly occur in the first nodes in the influence group according to the existing big data analysis, wherein the states comprise no fault, fault and corresponding fault types, and corresponding combination setting can be carried out through the existing data analysis.
The working method of the influence model comprises the following steps:
and acquiring the state of each low-voltage electrical appliance model in real time, namely whether a fault exists or not and what the fault type is, matching a corresponding single influence value and a corresponding weight coefficient from the state statistical table through an assignment node according to the acquired state of the low-voltage electrical appliance model, and correspondingly marking in the influence model.
The method for analyzing the obtained influence value coordinates comprises the following steps: establishing a corresponding influence analysis model based on a CNN network or a DNN network, setting a training set in a manual mode for training, and analyzing the influence value coordinates through the successfully trained influence analysis model to obtain the influence of the failed low-voltage apparatus on the current line.
The reason analysis unit is used for analyzing the low-voltage electrical apparatus with faults, and the specific method comprises the following steps:
acquiring corresponding fault problems and monitoring process data, identifying the types and models of corresponding low-voltage apparatuses, integrating the fault problems, the monitoring process data, the types and the models of the low-voltage apparatuses into reason analysis input data, establishing a reason analysis model, inputting the reason analysis input data into the reason analysis model for analysis, and acquiring fault reason analysis data.
The reason analysis model is established based on a CNN network or a DNN network, a corresponding training set is set in a manual mode for training, and the specific establishing and training process is common knowledge in the field, so that detailed description is omitted.
The detection module is used for carrying out similar detection when a low-voltage apparatus fails, and the specific method comprises the following steps:
acquiring corresponding fault reason analysis data, determining a low-voltage apparatus to be detected and a corresponding detection method according to the acquired fault reason analysis data, marking the low-voltage apparatus to be detected as a detection target, and detecting the corresponding detection target by the acquired detection method to acquire a detection result.
The method for determining the low-voltage apparatus needing to be detected and the corresponding detection method according to the obtained fault reason analysis data comprises the following steps:
establishing a fault reason library, matching corresponding low-voltage electrical appliance sets from the fault reason library according to the obtained fault reason analysis data, namely, all low-voltage electrical appliance sets which can generate the fault reason analysis data, namely, the low-voltage electrical appliance sets, and matching the obtained low-voltage electrical appliance sets with low-voltage electrical appliances in a display model to obtain low-voltage electrical appliances which need to be detected; and matching the low-voltage electrical appliances detected according to the needs with the corresponding detection method from the fault cause library.
The method for establishing the fault reason library comprises the following steps:
acquiring fault reason analysis data which may be possessed by each low-voltage apparatus, and performing low-voltage apparatus statistical classification according to the fault reason analysis data, namely performing statistics on the low-voltage apparatuses belonging to the same fault reason analysis data to classify the low-voltage apparatuses into one class, namely performing statistics on which low-voltage apparatuses can be possessed by each fault reason analysis data, and establishing a statistical classification table according to corresponding statistical classification data; setting a detection method of each low-voltage apparatus under the fault reason analysis data according to the established statistical classification table; the corresponding detection method is set for specific fault reason analysis data and the low-voltage apparatus model in a manual mode, and a fault reason library is built by summarizing according to the set detection method and the statistical classification table.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A fault analysis and detection system of a low-voltage apparatus comprises a monitoring module, wherein the monitoring module is used for identifying the low-voltage apparatus which correspondingly fails when the low-voltage apparatus fails, acquiring a corresponding fault problem and monitoring process data in a corresponding time period, and is characterized by further comprising a display module, an analysis module, a detection module and a server;
the display module is used for establishing a display model and displaying monitoring information of the low-voltage apparatus in real time;
the analysis module is used for analyzing the low-voltage electrical appliance with the fault, and comprises a reason analysis unit;
the reason analysis unit is used for analyzing the low-voltage electrical appliance with the fault, acquiring corresponding fault problems and monitoring process data, identifying the types and models of the corresponding low-voltage electrical appliances, integrating the fault problems, the monitoring process data, the types and the models of the low-voltage electrical appliances into reason analysis input data, establishing a reason analysis model, inputting the reason analysis input data into the reason analysis model for analysis, and acquiring fault reason analysis data;
the detection module is used for carrying out similar detection when the low-voltage apparatus fails to obtain corresponding failure reason analysis data, determining the low-voltage apparatus to be detected and a corresponding detection method according to the obtained failure reason analysis data, marking the low-voltage apparatus to be detected as a detection target, and detecting the corresponding detection target by the obtained detection method to obtain a detection result.
2. The system for analyzing and detecting the faults of the low-voltage apparatus according to claim 1, wherein the working method of the display module comprises the following steps:
establishing a display model, and acquiring monitoring information of a monitoring module in real time, wherein the monitoring information comprises no fault information and fault information, and the fault information comprises information of a low-voltage electrical appliance with a fault and a fault problem; when the monitoring information is fault-free information, the operation is not carried out; and when the monitoring information is fault information, identifying corresponding low-voltage electrical appliance information, and correspondingly marking in the low-voltage electrical appliance model according to the identified low-voltage electrical appliance information.
3. The fault analysis and detection system of the low-voltage apparatus according to claim 2, wherein the method for establishing the display model comprises:
the method comprises the steps of obtaining a low-voltage apparatus information graph, establishing a low-voltage apparatus model according to the obtained low-voltage apparatus information graph, identifying the position relation among the low-voltage apparatuses, fixing the low-voltage apparatuses according to the identified position relation, obtaining the connection relation among the low-voltage apparatuses, connecting the corresponding low-voltage apparatus models according to the obtained connection relation, obtaining a display model, and performing information supplement on the display model according to the low-voltage apparatus information graph.
4. The fault analysis and detection system of the low-voltage apparatus according to claim 1, wherein the method for determining the low-voltage apparatus to be detected and the corresponding detection method according to the obtained fault reason analysis data comprises:
establishing a fault reason library, matching a corresponding low-voltage electric appliance group from the fault reason library according to the obtained fault reason analysis data, and matching the obtained low-voltage electric appliance group with a low-voltage electric appliance in a display model to obtain a low-voltage electric appliance needing to be detected; and matching the low-voltage electrical appliances detected according to the needs with the corresponding detection method from the fault cause library.
5. The fault analysis and detection system for the low-voltage apparatus according to claim 4, wherein the method for establishing the fault cause library comprises:
acquiring fault reason analysis data of each low-voltage apparatus, performing low-voltage apparatus statistical classification according to the fault reason analysis data, and establishing a statistical classification table according to corresponding statistical classification data; setting a detection method of each low-voltage apparatus under the fault reason analysis data according to the established statistical classification table; and summarizing and establishing a fault reason library according to the set detection method and the statistical classification table.
6. The system according to claim 1, wherein the analysis module further comprises an influence analysis unit for analyzing the influence of the failed low-voltage apparatus on the current line.
7. The fault analysis and detection system for the low-voltage apparatus according to claim 6, wherein the working method of the influence analysis unit comprises:
establishing an influence model according to the display model, identifying a single influence value and a weight coefficient corresponding to each low-voltage apparatus model in the influence model in real time, and marking the low-voltage apparatus models in the same influence group as i, wherein i =1, 2, … …, n is a positive integer; marking the obtained single influence value as DYi, marking the weight coefficient as beta i, and according to a formula
Calculating the comprehensive influence value of each influence group, and establishing an influence value coordinate according to the calculated comprehensive influence value; and analyzing the obtained influence value coordinates to obtain the influence of the failed low-voltage apparatus on the current line.
8. The system of claim 7, wherein the method for establishing the impact model according to the display model comprises:
setting an influence group according to the connection relation between low-voltage electric appliance models in the display model, and correspondingly marking in the display model; identifying each low-voltage apparatus in the influence group, marking the low-voltage apparatus as a first node, acquiring a fault type of the first node, setting a fault type combination of each first node based on big data analysis, setting a single influence value and a weight coefficient corresponding to each first node in each fault type combination, and establishing a state statistical table according to the fault type combination, the single influence value and the weight coefficient corresponding to each first node; and setting assignment nodes in the display model according to the established state statistical table, wherein the assignment nodes are used for directly matching corresponding single influence values and weight coefficients according to the states of the low-voltage electric appliance models, carrying out corresponding marking and marking the current display model as an influence model.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118150933A (en) * | 2024-05-09 | 2024-06-07 | 张家港智能电力研究院有限公司 | Electrical fault position confirmation method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118150933A (en) * | 2024-05-09 | 2024-06-07 | 张家港智能电力研究院有限公司 | Electrical fault position confirmation method based on big data |
| CN118150933B (en) * | 2024-05-09 | 2024-08-30 | 张家港智能电力研究院有限公司 | Electrical fault position confirmation method based on big data |
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