CN116466187A - Cable fault prediction visualization system and method - Google Patents

Cable fault prediction visualization system and method Download PDF

Info

Publication number
CN116466187A
CN116466187A CN202310465518.1A CN202310465518A CN116466187A CN 116466187 A CN116466187 A CN 116466187A CN 202310465518 A CN202310465518 A CN 202310465518A CN 116466187 A CN116466187 A CN 116466187A
Authority
CN
China
Prior art keywords
fault
prediction
cable
predicted
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310465518.1A
Other languages
Chinese (zh)
Inventor
黄应敏
王骞能
朱轲
胡超强
邹科敏
陈喜东
邵源鹏
高伟光
杨航
梁志豪
许翠珊
游仿群
杨展鹏
丁明
吴仕良
李梓铧
黄梓维
邓春晖
徐加健
徐秋燕
刘晓明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Panyu Cable Group Co Ltd
Original Assignee
Guangzhou Panyu Cable Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Panyu Cable Group Co Ltd filed Critical Guangzhou Panyu Cable Group Co Ltd
Priority to CN202310465518.1A priority Critical patent/CN116466187A/en
Publication of CN116466187A publication Critical patent/CN116466187A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/083Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Locating Faults (AREA)

Abstract

The embodiment of the invention discloses a cable fault prediction visualization system and a cable fault prediction visualization method, wherein the cable fault prediction visualization method comprises the following steps: acquiring a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position points which are not failed are determined through the cable failure information record to obtain the failure prediction result, and the display positions corresponding to the predicted position points are visually displayed, so that the failure prediction can be reasonably performed, and the visual display can be performed.

Description

Cable fault prediction visualization system and method
Technical Field
The embodiment of the application relates to the technical field of cable monitoring, in particular to a cable fault prediction visualization system and a cable fault prediction visualization method.
Background
In the modern process of accelerating the construction of society in China, the electricity demand of cities is continuously increased. And, the power cable is commonly used as a connection circuit and a transmission tool. It is important that the cable is one of the main power transmission devices whether it can be safely operated. Therefore, the reason and the kind of the power cable faults are clear, so that it is very critical to process the power cable faults by applying the detection method in real time and accurately.
In the prior art, fault detection of an underground cable is generally realized by matching a signal oscillation sounder with a line finder, the line finder can detect sound signals sent by the underground cable, drawing of paths of the underground cable and positioning of fault points can be realized by the strength of the sound signals, but only the position points with faults can be positioned, a reasonable fault prediction method is lacking, and faults cannot be predicted.
Disclosure of Invention
The embodiment of the invention provides a cable fault prediction visualization system and a cable fault prediction visualization method, which solve the problems that in the prior art, only the position points with faults can be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visualized and displayed.
In a first aspect, an embodiment of the present invention provides a cable fault prediction visualization method, including:
acquiring a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
Optionally, the determining, based on the fault location points, a plurality of non-faulty prediction location points that meet a prediction condition includes:
determining a position point with the same cable setting mode as the fault position point as a predicted position point; and/or determining the position point with the same position type as the position set by the fault position point as a predicted position point.
Optionally, the performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result includes:
determining the similarity of fault parameter values in the fault data records and monitoring parameter values in the monitoring data;
and determining a fault prediction result according to the similarity.
Optionally, the determining the similarity between the fault parameter value in the fault data record and the monitoring parameter value in the monitoring data includes:
generating a first curve according to the fault parameter values in the fault data records, and generating a second curve according to the monitoring parameter values in the monitoring data;
and determining the similarity based on the similarity relation between the first curve and the second curve.
Optionally, the determining the fault prediction result according to the similarity includes:
under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is larger than a preset value, determining a fault prediction result as a first prediction result;
determining that the fault prediction result is a second prediction result under the condition that the similarity is larger than the preset similarity value and the average value of the monitoring parameter values in the monitoring data is not larger than the preset value;
and under the condition that the similarity is not greater than the preset similarity value, determining the fault prediction result as a third prediction result.
Optionally, the visually displaying the display position corresponding to the predicted position point according to the fault prediction result includes:
and displaying different predicted results in the fault predicted results in different identification modes.
Optionally, the first prediction result is classified into different fault levels based on the similarity, and different prediction results in the fault prediction results are displayed in different identification modes, including:
and under the condition that the predicted result is the first predicted result, acquiring a preset display mode of the corresponding fault level for display.
In a second aspect, an embodiment of the present invention further provides a cable fault prediction visualization system, including:
the fault information record acquisition module is used for acquiring a cable fault information record, wherein the fault information record comprises a fault position point and an associated fault data record;
a predicted position point determining module, configured to determine a plurality of predicted position points that meet a prediction condition and are not subject to a fault based on the fault position points;
the monitoring data acquisition module is used for acquiring the monitoring data of the predicted position points;
the fault prediction module is used for carrying out fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result;
and the visual display module is used for visually displaying the display position corresponding to the predicted position point according to the fault prediction result in a display interface.
In a third aspect, an embodiment of the present invention further provides a cable fault prediction visualization apparatus, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a cable failure prediction visualization method as described in embodiments of the present invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium storing computer-executable instructions that, when executed by a computer processor, are configured to perform a cable fault prediction visualization method according to embodiments of the present invention.
In the embodiment of the invention, cable fault information records are obtained, wherein the fault information records comprise fault position points and associated fault data records; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
Drawings
FIG. 1 is a flow chart of a cable fault prediction visualization method provided by an embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining a predicted location point according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining a failure prediction result according to an embodiment of the present invention;
FIG. 4 is a flowchart of a visual display method according to an embodiment of the present invention;
fig. 5 is a block diagram of a module structure of a cable fault prediction visualization system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a cable fault prediction visualization device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in further detail below with reference to the drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not limiting of embodiments of the invention. It should be further noted that, for convenience of description, only some, but not all of the structures related to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of a cable fault prediction visualization method provided by an embodiment of the present invention, where, as shown in fig. 1, the method specifically includes:
step S101, obtaining a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records.
Wherein, the fault location point can be the location point of the cable fault; the fault data record may be a record of fault location points and monitoring data of the fault location points, and may include fault location points, fault parameters, and fault parameter values; the fault information record may be a record of the fault occurring to the cable over a period of time and may include a fault location point and an associated fault data record. The system receives the command for acquiring the cable fault information record and acquires the fault information record of the cable in a period of time. In one example, the time period for acquiring the cable fault information record set in the system is 24 hours, the system receives the instruction for acquiring the cable fault information record, and the information record of the fault of the cable in 24 hours is acquired.
And step S102, determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points.
The prediction condition may be a judgment condition set in the system; the predicted location point may be a location point that satisfies the prediction condition and is not faulty but is likely to be faulty. The position of the same cable setting mode as the fault position point can be determined as the predicted position point, because the position point of the same cable setting mode is easy to generate the same fault, and the probability of generating the fault is higher than other positions; alternatively, a location point of the same type as the location set by the fault location point may be determined as a predicted location point, and the occurrence of a fault in the fault location point may sometimes be affected by the environment, and a location of the same type as the location of the fault location point may also possibly be faulty; the position points which are the same as the cable setting mode of the fault position point and have the same position type can be determined as the predicted position points, and the two conditions are combined, so that the determined predicted position points are more rigorous and reasonable. In one example, the system determines the position of the same cable setting mode as the fault location point as a predicted location point, and determines the position of the same cable inflection point as the predicted position if the fault location point in the acquired cable fault information record is the cable inflection point at one place.
And step S103, acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result.
The monitoring data of the predicted position point may be data information obtained by monitoring the predicted position point by the system, and may include monitoring parameters and monitoring parameter values; the failure prediction result may be a result obtained by performing failure prediction on the prediction position point, and may include three prediction results of predicting failure, predicting possible failure and predicting failure. The system acquires the monitoring data of the predicted position point, compares the monitoring parameter value in the monitoring data of the predicted position point with the fault parameter value in the fault data record, determines the similarity of the monitoring parameter value and the fault parameter value, determines a fault prediction result according to the determined similarity, and the higher the similarity is, the higher the possibility of fault occurrence is. In one example, the similarity between the monitoring parameter value in the monitoring data of the predicted location point and the fault parameter value in the fault data record is 90%, and if the similarity is high, the predicted location point is judged to be faulty through fault prediction.
And step S104, in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
The display interface can be a screen interface for displaying data information, and can comprise a computer screen, a mobile phone screen and the like; the visual display may be displaying information in the form of an image. After the system judges the fault prediction results, different identification modes are adopted for displaying different prediction results in the fault prediction results in a display interface, so that the fault prediction results can be displayed more intuitively. In one example, the failure prediction results are classified into three prediction results of predicting failure, predicting possible failure and predicting non-failure, and in the display interface, the prediction results of predicting failure are identified by red, the prediction results of predicting possible failure are identified by yellow, and the prediction results of predicting non-failure are identified by green.
From the above, a cable fault information record is obtained, wherein the fault information record comprises a fault location point and an associated fault data record; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
Fig. 2 is a flowchart of a method for determining a predicted location point according to an embodiment of the present invention, where, as shown in fig. 2, the method specifically includes:
step S201, obtaining a cable fault information record, where the fault information record includes a fault location point and an associated fault data record.
Step S202, determining the position points with the same cable setting mode as the fault position points as predicted position points; and/or determining the position point with the same position type as the position set by the fault position point as a predicted position point.
The cable setting mode can be the position of the cable where the position point is located, and can comprise a cable inflection point, a cable middle point, a cable end point and the like; the location type may be the environment in which the location point is located. The method for determining the predicted position point can be set in the system according to the actual situation, and the first method is to determine the position point with the same cable setting mode as the fault position point as the predicted position point; the second method is to determine a location point of the same location type as the location type set by the fault location point as a predicted location point; the third method is to combine the first and second methods to determine the position point which is the same as the fault position point cable arrangement and has the same position type as the predicted position point. In one example, a position point which is set in the same cable setting mode as the fault position point is set in the system to be a predicted position point, the cable position of the acquired fault position point is a cable inflection point, and the inflection points on other cables are determined to be the predicted position points; in another example, the system determines the location point with the same location type as the location set by the fault location point as a predicted location point, and determines the location point in the machine room with the same volume as the predicted location point if the obtained environment of the fault location point is a machine room.
And step 203, acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result.
And step S204, in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
From the above, a cable fault information record is obtained, wherein the fault information record comprises a fault location point and an associated fault data record; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
Fig. 3 is a flowchart of a method for determining a failure prediction result according to an embodiment of the present invention, where, as shown in fig. 3, the method specifically includes:
step S301, obtaining a cable fault information record, where the fault information record includes a fault location point and an associated fault data record.
And step S302, determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points.
Step S303, determining the similarity between the fault parameter value in the fault data record and the monitoring parameter value in the monitoring data; under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is larger than a preset value, determining a fault prediction result as a first prediction result; determining that the fault prediction result is a second prediction result under the condition that the similarity is larger than the preset similarity value and the average value of the monitoring parameter values in the monitoring data is not larger than the preset value; and under the condition that the similarity is not greater than the preset similarity value, determining the fault prediction result as a third prediction result.
The first prediction result may be a prediction of failure, the second prediction result may be a prediction of possible failure, the third prediction result may be a prediction of no failure, the preset similarity value is a value set in the system, and the value is used as a standard value of the failure prediction result and can be modified manually. The system generates a first curve according to the fault parameter values in the fault data records, generates a second curve according to the monitoring parameter values in the monitoring data, and the abscissa is a period of time and the ordinate is a parameter value. When the time periods are very dense, the time periods can be regarded as points, and the system detects the coincidence degree of the first curve and the second curve to determine the similarity of the fault parameter value in the fault data record and the monitoring parameter value in the monitoring data. Because the similarity can only judge that the change trend of the fault parameter value in the fault data record is close to the change trend of the monitoring parameter value in the monitoring data, the average value of the monitoring parameter value in the monitoring data is also compared with a preset value, so that the fault prediction result can be more accurate, and the method can be divided into the following three conditions: under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is larger than a preset value, determining a fault prediction result as a first prediction result; under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is not larger than the preset value, determining a fault prediction result as a second prediction result; and under the condition that the similarity is not greater than a preset similarity value, determining the fault prediction result as a third prediction result. In one example, where there are one hundred time periods, which can be considered as one hundred points, the number of points where the first curve generated by the system from the fault parameter values in the fault data record coincides with the second curve generated from the monitoring parameter values in the monitoring data is 60, the similarity is 60/100=60%.
And step S304, in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
From the above, a cable fault information record is obtained, wherein the fault information record comprises a fault location point and an associated fault data record; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
Fig. 4 is a flowchart of a visual display method according to an embodiment of the present invention, where as shown in fig. 4, the visual display method specifically includes:
step S401, obtaining a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records.
And step S402, determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points.
And S403, acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result.
And step S404, displaying different predicted results in the fault predicted results in different identification modes, and acquiring and displaying a preset display mode of the corresponding fault level under the condition that the predicted result is the first predicted result.
The identification mode can be used for distinguishing different prediction results in the fault prediction results and can comprise marking content, color, size, shape and the like; the fault ranking may be ranking the first prediction result according to similarity; the preset display mode can be a display mode of setting each fault level in the system. The fault prediction results are divided into a first prediction result, a second prediction result and a third prediction result, the three fault prediction results respectively correspond to different identification modes, and when the fault prediction result is the first prediction result, corresponding fault grades can be obtained according to the similarity, different fault grades correspond to different preset display modes, and the system displays according to the obtained preset display modes of the corresponding fault grades. In one example, the first predictor corresponds to a failure class that is classified into two stages, the similarity is 90% -100% as a first stage failure, the pre-display mode is red, the similarity is 80% -90% as a second stage failure, the pre-display mode is orange red, the second predictor is displayed in yellow, and the third predictor is displayed in green.
From the above, a cable fault information record is obtained, wherein the fault information record comprises a fault location point and an associated fault data record; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
Fig. 5 is a block diagram of a cable fault prediction visualization system according to an embodiment of the present invention, where the smart cable is used to execute a cable fault prediction visualization method according to the foregoing embodiment, and the cable fault prediction visualization system includes a functional module and beneficial effects corresponding to the execution method. As shown in fig. 5, the system specifically includes:
a fault information record obtaining module 101, configured to obtain a cable fault information record, where the fault information record includes a fault location point and an associated fault data record;
a predicted location point determining module 102, configured to determine a plurality of predicted location points that meet a prediction condition and are not subject to a fault based on the fault location points;
a monitoring data obtaining module 103, configured to obtain monitoring data of the predicted location point;
the fault prediction module 104 is configured to perform fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result;
and the visual display module 105 is configured to visually display, in a display interface, a display position corresponding to the predicted position point according to the failure prediction result.
According to the scheme, cable fault information records are obtained, wherein the fault information records comprise fault position points and associated fault data records; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result. According to the scheme, the predicted position point without faults is determined through the cable fault information record, the fault prediction result is obtained according to the fault data record and the monitoring data of the predicted position point, and the display position corresponding to the predicted position point is visually displayed, so that the problems that the position point with faults can only be positioned, a reasonable fault prediction method is lacking, faults cannot be predicted, and the faults can be reasonably predicted and visually displayed in the prior art are solved.
In one possible embodiment, the predicted location point determining module 102 is specifically configured to:
determining a position point with the same cable setting mode as the fault position point as a predicted position point; and/or determining the position point with the same position type as the position set by the fault position point as a predicted position point.
In one possible embodiment, the fault prediction module 104 is specifically configured to:
determining the similarity of fault parameter values in the fault data records and monitoring parameter values in the monitoring data;
and determining a fault prediction result according to the similarity.
In one possible embodiment, the fault prediction module 104 is further configured to:
generating a first curve according to the fault parameter values in the fault data records, and generating a second curve according to the monitoring parameter values in the monitoring data;
and determining the similarity based on the similarity relation between the first curve and the second curve.
In one possible embodiment, the fault prediction module 104 is further configured to:
under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is larger than a preset value, determining a fault prediction result as a first prediction result;
determining that the fault prediction result is a second prediction result under the condition that the similarity is larger than the preset similarity value and the average value of the monitoring parameter values in the monitoring data is not larger than the preset value;
and under the condition that the similarity is not greater than the preset similarity value, determining the fault prediction result as a third prediction result.
In one possible embodiment, the visual display module 105 is specifically configured to:
and displaying different predicted results in the fault predicted results in different identification modes.
In one possible embodiment, the visual display module 105 is further configured to:
and under the condition that the predicted result is the first predicted result, acquiring a preset display mode of the corresponding fault level for display.
Fig. 6 is a schematic structural diagram of a cable fault prediction visualization device according to an embodiment of the present invention, where, as shown in fig. 6, the device includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device may be one or more, one processor 201 being taken as an example in fig. 6; the processor 201, memory 202, input devices 203, and output devices 204 in the apparatus may be connected by a bus or other means, for example in fig. 6. The memory 202 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to a cable fault prediction visualization method in an embodiment of the present invention. The processor 201 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 202, i.e. implements a cable fault prediction visualization method as described above. The input means 203 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a cable fault prediction visualization method, the method comprising:
acquiring a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records; determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points; acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result; and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
It should be noted that, in the embodiment of the cable fault prediction visualization method device, each unit and module included are only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present invention are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A cable fault prediction visualization method, comprising:
acquiring a cable fault information record, wherein the fault information record comprises fault position points and associated fault data records;
determining a plurality of non-failure prediction position points which meet prediction conditions based on the failure position points;
acquiring monitoring data of the predicted position points, and performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result;
and in a display interface, visually displaying the display position corresponding to the predicted position point according to the fault prediction result.
2. The cable fault prediction visualization method of claim 1, wherein the determining a plurality of non-faulty predicted location points that meet a prediction condition based on the faulty location points comprises:
determining a position point with the same cable setting mode as the fault position point as a predicted position point; and/or determining the position point with the same position type as the position set by the fault position point as a predicted position point.
3. The cable fault prediction visualization method according to claim 1, wherein the performing fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result includes:
determining the similarity of fault parameter values in the fault data records and monitoring parameter values in the monitoring data;
and determining a fault prediction result according to the similarity.
4. A cable fault prediction visualization method as recited in claim 3, wherein said determining a similarity of fault parameter values in said fault data records to monitoring parameter values in said monitoring data comprises:
generating a first curve according to the fault parameter values in the fault data records, and generating a second curve according to the monitoring parameter values in the monitoring data;
and determining the similarity based on the similarity relation between the first curve and the second curve.
5. A cable fault prediction visualization method as defined in claim 3, wherein said determining a fault prediction result from said similarity comprises:
under the condition that the similarity is larger than a preset similarity value and the average value of monitoring parameter values in the monitoring data is larger than a preset value, determining a fault prediction result as a first prediction result;
determining that the fault prediction result is a second prediction result under the condition that the similarity is larger than the preset similarity value and the average value of the monitoring parameter values in the monitoring data is not larger than the preset value;
and under the condition that the similarity is not greater than the preset similarity value, determining the fault prediction result as a third prediction result.
6. The cable fault prediction visualization method according to any one of claims 1 to 5, wherein the visually displaying the display position corresponding to the predicted position point according to the fault prediction result includes:
and displaying different predicted results in the fault predicted results in different identification modes.
7. The cable fault prediction visualization method according to claim 6, wherein the first prediction results are classified into different fault levels based on the similarity, and different prediction results in the fault prediction results are displayed in different identification manners, including:
and under the condition that the predicted result is the first predicted result, acquiring a preset display mode of the corresponding fault level for display.
8. A cable fault prediction visualization system, comprising:
the fault information record acquisition module is used for acquiring a cable fault information record, wherein the fault information record comprises a fault position point and an associated fault data record;
a predicted position point determining module, configured to determine a plurality of predicted position points that meet a prediction condition and are not subject to a fault based on the fault position points;
the monitoring data acquisition module is used for acquiring the monitoring data of the predicted position points;
the fault prediction module is used for carrying out fault prediction based on the fault data record and the monitoring data to obtain a fault prediction result;
and the visual display module is used for visually displaying the display position corresponding to the predicted position point according to the fault prediction result in a display interface.
9. A cable fault prediction visualization apparatus, the apparatus comprising: one or more processors; storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement a cable fault prediction visualization method as claimed in any one of claims 1 to 7.
10. A storage medium containing computer executable instructions for performing a cable fault prediction visualization method as claimed in any one of claims 1-7 when executed by a computer processor.
CN202310465518.1A 2023-04-26 2023-04-26 Cable fault prediction visualization system and method Pending CN116466187A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310465518.1A CN116466187A (en) 2023-04-26 2023-04-26 Cable fault prediction visualization system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310465518.1A CN116466187A (en) 2023-04-26 2023-04-26 Cable fault prediction visualization system and method

Publications (1)

Publication Number Publication Date
CN116466187A true CN116466187A (en) 2023-07-21

Family

ID=87178787

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310465518.1A Pending CN116466187A (en) 2023-04-26 2023-04-26 Cable fault prediction visualization system and method

Country Status (1)

Country Link
CN (1) CN116466187A (en)

Similar Documents

Publication Publication Date Title
CN107273280A (en) A kind of log processing method, device, electronic equipment and storage medium
CN116149304B (en) Vehicle diagnosis system, method, equipment and storage medium
CN114076873A (en) Cable fault analysis and prediction method and device
CN113133041B (en) Method and device for testing vehicle-to-vehicle communication function in dynamic interval train control vehicle
CN112202613B (en) Optical cable fault processing method, device, equipment and computer readable storage medium
CN109980789B (en) State detection method, device, equipment and medium of direct current control protection system
CN111861021B (en) Service risk prediction method, device, equipment and computer readable storage medium
CN112052566A (en) Intelligent cable analog simulation method and system
CN114034972B (en) Intelligent cable fault determining method and device based on image data
CN116466187A (en) Cable fault prediction visualization system and method
CN111045876A (en) Splash screen detection method and device, storage medium and electronic equipment
CN108427044B (en) Method, device, equipment and storage medium for testing fault protection function
CN104767995A (en) Method for recording electronic product test data and recording module
CN113096269B (en) Information acquisition method and device, electronic equipment and storage medium
CN115471968A (en) Cable burglar alarm
CN114706371A (en) Complete vehicle network non-dormancy diagnosis method and device, electronic equipment and storage medium
CN114898174A (en) Cable fault recognition system based on different recognition models
CN114448775A (en) Equipment fault information processing method and device, electronic equipment and storage medium
CN111965609A (en) Radar reliability evaluation method and device, electronic equipment and readable storage medium
CN114071123B (en) Video scheduling fault detection method for informationized equipment based on simulation test environment
CN113258671B (en) Spare power automatic switching device monitoring method and device, electronic equipment and storage medium
CN116699275A (en) Cable fault anomaly monitoring system and method
CN114610003B (en) Vehicle diagnosis method, device, equipment and medium
CN118200949B (en) Fault monitoring system and method for communication equipment
CN115695159B (en) Equipment diagnosis method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination