CN114924171A - Cable insulation performance fault early warning device and method - Google Patents
Cable insulation performance fault early warning device and method Download PDFInfo
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- CN114924171A CN114924171A CN202210573854.3A CN202210573854A CN114924171A CN 114924171 A CN114924171 A CN 114924171A CN 202210573854 A CN202210573854 A CN 202210573854A CN 114924171 A CN114924171 A CN 114924171A
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/02—Measuring direction or magnitude of magnetic fields or magnetic flux
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The embodiment of the application discloses a cable insulation performance fault early warning device and method. According to the technical scheme provided by the embodiment of the application, monitoring data of the corresponding segmented line are collected through an electric field sensor and a magnetic field sensor, the monitoring data are compared with a preset monitoring threshold value to generate a first comparison result, and when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result, primary fault early warning information of the current corresponding segmented line is reported; comparing the collected first temperature data with the historical temperature data and the second temperature data of the corresponding segmented lines to generate a second comparison result, reporting secondary fault early warning information of the corresponding segmented lines and the associated early warning information of the associated segmented lines based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information. By adopting the technical means, the insulation performance of the cable can be detected timely and accurately, and the operation and maintenance effect of the cable is optimized.
Description
Technical Field
The embodiment of the application relates to the technical field of intelligent cables, in particular to a cable insulation performance fault early warning device and method.
Background
Electrical cables are a common facility for the transportation of electricity or information. At present, in order to better monitor the running state of the cable in real time and realize better operation and maintenance effects on the cable, the operation and maintenance setting of the cable tends to be more and more intelligent. Since the cable is usually laid in an underground pipeline, the laying environment is dark and humid, and thus the requirement for the insulation performance of the cable is high. The mode that temperature detected usually can be adopted, because cable insulating properties descends the back, the electric current leakage condition can appear in the cable, and leakage current can make the cable insulation layer generate heat. Therefore, whether the local insulation performance of the cable is reduced or not can be found by detecting the temperature, the abnormal operation of the cable can be effectively prevented, and the operation and maintenance effect of the cable is optimized.
However, the insulation performance of the cable tested by adopting the temperature detection mode is easily affected by the ambient temperature, so that the test result is inaccurate, and further the misjudgment is caused. Once the condition that the cable performance descends can not be accurately detected in time, the cable insulation performance can further descend, and then the aggravation current is revealed, and the cable has a ground fault, and the safe operation of the cable is influenced.
Disclosure of Invention
The embodiment of the application provides a cable insulation performance fault early warning device and method, which can timely and accurately detect the insulation performance of a cable, improve the accuracy of cable insulation performance detection, and solve the technical problem of low accuracy of cable insulation performance detection.
In a first aspect, an embodiment of the present application provides a cable insulation performance fault early warning device, including:
the acquisition module is used for acquiring monitoring data corresponding to the segmented lines through the electric field sensor and the magnetic field sensor, and the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable;
the primary early warning module is used for comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding sectional line when the cable insulation performance of the current corresponding sectional line is determined to be in a preset state based on the first comparison result;
the secondary early warning module is used for awakening a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line when the cable insulation performance of the corresponding segmented line is in a preset state, acquiring first temperature data acquired by the first temperature sensor, acquiring second temperature data acquired by the second temperature sensor, comparing the first temperature data with historical temperature data of the corresponding segmented line and the second temperature data to generate a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
Further, the acquisition module is specifically configured to acquire an electric field signal acquired by an electric field sensor and a magnetic field signal acquired by a magnetic field sensor, and convert the electric field signal and the magnetic field signal into the monitoring data after signal amplification and filtering processing is performed on the electric field signal and the magnetic field signal by a signal processor.
Further, still include:
and the prediction module is used for predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result.
Further, the prediction module is specifically configured to input the monitoring data and the historical electromagnetic data into a pre-constructed cable insulation performance prediction model to obtain a corresponding prediction result.
In a second aspect, an embodiment of the present application provides a cable insulation performance fault early warning method, including:
collecting monitoring data of corresponding segmented lines through an electric field sensor and a magnetic field sensor, wherein the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable;
comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding segmented line when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result;
when the cable insulation performance of the corresponding segmented line is in a preset state, a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line are awakened, first temperature data collected by the first temperature sensor are obtained, second temperature data collected by the second temperature sensor are compared with historical temperature data of the corresponding segmented line and the second temperature data, a second comparison result is generated, secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line are reported based on the second comparison result, and the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
Further, the collecting of the monitoring data of the corresponding segment line by the electric field sensor and the magnetic field sensor includes:
and acquiring electric field signals acquired by an electric field sensor and magnetic field signals acquired by a magnetic field sensor, and converting the electric field signals and the magnetic field signals into the monitoring data after signal amplification and filtering processing is carried out on the electric field signals and the magnetic field signals by a signal processor.
Further, the method also comprises the following steps:
and predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result.
Further, the predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result includes:
and inputting the monitoring data and the historical electromagnetic data into a pre-constructed cable insulation performance prediction model to obtain a corresponding prediction result.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the cable insulation performance fault pre-warning method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the cable insulation performance fault pre-warning method according to the first aspect when executed by a computer processor.
According to the embodiment of the application, monitoring data corresponding to the segmented lines are acquired through the electric field sensor and the magnetic field sensor, and the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable; comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding sectional line when the cable insulation performance of the current corresponding sectional line is determined to be in a preset state based on the first comparison result; when the cable insulation performance of the corresponding segmented line is in a preset state, awakening a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line, acquiring first temperature data acquired by the first temperature sensor and second temperature data acquired by the second temperature sensor, comparing the first temperature data with historical temperature data and the second temperature data of the corresponding segmented line, generating a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information. By adopting the technical means, the cable insulation performance can be timely and accurately detected by detecting the electromagnetic monitoring data of the cable, and the accuracy of detecting the cable insulation performance is improved. And fault early warning analysis is carried out by combining with cable temperature detection data, and positioning alarm can be timely carried out on abnormal operation of the cable, so that safe operation of the cable is guaranteed, and the operation and maintenance effects of the cable are optimized.
Drawings
Fig. 1 is a flowchart of a cable insulation performance fault early warning method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a cable fault early warning system in an embodiment of the present application;
fig. 3 is a flow chart of cable fault warning in the first embodiment of the present application;
fig. 4 is a schematic structural diagram of a cable insulation performance fault early warning device provided in the second embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the matters relating to the present application are shown in the drawings. Before discussing exemplary embodiments in greater detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but could have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
The first embodiment is as follows:
fig. 1 shows a flowchart of a cable insulation performance fault early-warning method provided in an embodiment of the present application, where the cable insulation performance fault early-warning method provided in this embodiment may be executed by a cable insulation performance fault early-warning device, the cable insulation performance fault early-warning device may be implemented in a software and/or hardware manner, and the cable insulation performance fault early-warning device may be formed by two or more physical entities or may be formed by one physical entity. Generally, the cable insulation performance fault early warning device may be a cable fault early warning system.
In the following, a cable fault early warning system is taken as an example to describe a main body for executing a cable insulation performance fault early warning method. Referring to fig. 1, the cable insulation performance fault early warning method specifically includes:
and S110, acquiring monitoring data of corresponding segmented lines through an electric field sensor and a magnetic field sensor, wherein the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable.
The cable insulation performance fault early warning method aims at accurately determining the circuit insulation performance of each cable subsection line along the cable through the electric field and the magnetic field of each cable subsection line along the monitoring cable according to the monitoring data of the electric field and the magnetic field, and carries out fault early warning by combining the temperature monitoring result, so that the accuracy of cable insulation performance detection is improved, and the operation and maintenance effect of the cable is optimized.
It can be understood that the laying environment of the cable is generally dark and humid (such as a groove), so that the cable is required to have high insulating performance so as to avoid the situation that the cable is affected by the humid environment to cause current leakage and generate ground fault. And after the insulating properties of the cable insulating layer are reduced, the resistance of the insulating layer is reduced, the electric field of the cable to the ground is enhanced, and the cable generates leakage current to the ground under the action of the electric field. When the cable insulation performance becomes very poor, the local field intensity of the cable can be caused, when the local field intensity is larger than the discharge critical value, the cable can possibly discharge air (namely corona occurs), the frequency of the discharge current is in a determined interval and is different from 50Hz, and therefore the cable section line insulation performance can be accurately judged according to the monitoring data by acquiring the electric field and magnetic field monitoring data of each cable section line.
Specifically, referring to fig. 2, a schematic structural diagram of a cable fault warning system is provided. The monitoring module 11 is arranged on each section line along the cable, the monitoring module 11 comprises an electric field sensor and a magnetic field sensor, the electric field sensor of the monitoring module 11 is used for collecting an electric field signal of the section line of the cable, the magnetic field sensor is used for collecting a magnetic field signal of the section line of the cable, the collected signals are uploaded to the system server 20 of the embodiment of the application, and fault early warning of the section line of the cable is carried out through the system server 20 of the application to determine a fault position. And then sends the location information to the inspection personnel's terminal device 30 to inform the inspection personnel of the corresponding cable segment line that needs to be manually inspected. Therefore, a better cable operation and maintenance effect is realized. In addition, monitoring module 11 still disposes the temperature detection sensor, and this application embodiment is when being in preset state through confirming the cable insulation performance that corresponds the segmentation circuit at present, combines cable segmentation circuit temperature sensor's temperature data to carry out the secondary fault early warning, can further promote the precision of cable insulation performance fault early warning, optimizes the fault detection effect.
The number of each segmented line needs to be carried according to the monitoring data acquired by the segmented line, so that when the cable insulation performance fails, the cable segmented line with the number corresponding to the monitoring data is determined, the cable insulation performance fault early warning is further carried out, and the cable segmented line needing to be overhauled is determined.
And one end of the corresponding monitoring module is used for acquiring an electric field signal acquired by the electric field sensor and a magnetic field signal acquired by the magnetic field sensor, and the electric field signal and the magnetic field signal are converted into monitoring data after being subjected to signal amplification and filtering processing by the signal processor.
For the initial electric field signal collected by the electric field sensor, the electric field signal is processed into an electric signal which can be identified by the system, namely electric field monitoring data, by the electric field signal processor. The electric field signal processor amplifies the electric signal through the signal amplification circuit to obtain an amplified electric signal; performing low-pass filtering processing on the amplified electric signal through a low-pass filtering circuit to obtain a filtered electric signal; and finally, performing AC-DC conversion on the filtered electric signal through an AC-DC conversion circuit to obtain final electric field monitoring data.
Similarly, the initial magnetic field signal collected by the magnetic field sensor is processed by the magnetic field signal processor into a magnetic signal that can be recognized by the system, i.e. magnetic field monitoring data. The magnetic field signal processor amplifies an initial magnetic field signal through the signal amplifying circuit; and then, the magnetic field signal after the amplification treatment is subjected to band-pass filtering through a band-pass filtering circuit, and final magnetic field monitoring data is output.
After the electric field and magnetic field monitoring data are obtained through the analog-to-digital conversion, the part of the monitoring data are reported to the system server 20, and the system server 20 can further perform circuit insulation performance evaluation on the corresponding cable segment line based on the two parts of the monitoring data, so as to perform cable insulation performance fault early warning.
And S120, comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding segmented line when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result.
Further, when the system server evaluates the cable insulation performance of the corresponding cable segment line based on the monitoring data, the system server adopts a real-time comparison mode to accurately determine the insulation performance of the cable.
When real-time comparison is carried out, the corresponding comparison result is obtained by comparing the preset monitoring threshold value with the monitoring data. The preset monitoring threshold includes an electric field monitoring threshold and a magnetic field monitoring threshold. Before that, electric field monitoring data and magnetic field monitoring data when the cable insulation performance is abnormal are obtained through actual tests and are used as corresponding electric field monitoring threshold values and magnetic field monitoring threshold values for subsequently comparing data to determine a first comparison result.
Generally speaking, when the electric field monitoring data exceeds the electric field monitoring threshold, the current cable insulation performance is considered to be abnormal, and fault early warning is required. Similarly, when the magnetic field monitoring data exceeds the magnetic field monitoring threshold, the current cable insulation performance is considered to be abnormal, and fault early warning is required. It can be understood that when the insulation performance of the cable is deteriorated, the two parts of monitoring data are raised, so that the monitoring data exceed the standard and reach the monitoring threshold. Therefore, the two parts of monitoring data are compared to perform subsequent cable insulation performance evaluation according to the comparison result.
Further, based on the first comparison result, it can be determined whether the insulation performance of the current cable segment line is in a predefined state. Before this, the predefined state is set according to the first comparison of the cable segment line. I.e. the predefined state may be configured in correspondence with the first comparison result. The predefined state represents that the insulation performance of the current cable sectional line is abnormal, fault early warning needs to be carried out, and inspection personnel are informed to carry out inspection in time.
For example, when the electric field monitoring data exceeds the electric field monitoring threshold value according to the first comparison result, the cable insulation performance of the current corresponding segmented line is determined to be in a preset state; or when the prediction result of the electric field monitoring data exceeds the electric field monitoring threshold value, the cable insulation performance of the current corresponding segmented line is determined to be in a preset state. And when the electric field detection data and the magnetic field monitoring data exceed the corresponding monitoring threshold values at the same time, determining that the cable insulation performance of the current corresponding segmented line is in a preset state. In the embodiment of the present application, no fixed limitation is imposed on the determination standard of the preset state, which is not described herein again.
Further, when the insulation performance of the cable corresponding to the segmented line at present is determined to be in a predefined state, it is indicated that the insulation performance of the segmented line of the cable is poor, and inspection personnel need to be informed in time to go to inspection and maintenance, so that the conditions that the insulation performance of the cable is further deteriorated, the cable runs abnormally and the like are avoided. Based on this, the embodiment of the application defines a fault early warning information as the first fault early warning information by outputting a fault early warning information, so as to inform operation and maintenance personnel of the fault condition of the insulation performance of the current cable segment line in time through the first fault early warning information, and optimize the operation and maintenance effect.
Optionally, the corresponding segmented line can be marked as a to-be-patrolled state on the pre-constructed three-dimensional cable model so as to perform positioning and prompting of cable patrolling on operation and maintenance personnel. The operation and maintenance personnel can see the state information to be inspected marked on the position of the corresponding segmented line on the three-dimensional model of the cable on the display terminal of the system server, so that the segmented line of the cable is determined to be the position to be inspected, and then the corresponding inspection personnel is arranged to inspect the cable on the corresponding segmented line of the cable. For example, the position information is sent to the terminal device of the inspection personnel to inform the inspection personnel of the corresponding cable segment line which needs to be manually detected. And constructing a three-dimensional model of the intelligent cable according to the pre-acquired three-dimensional point cloud data of the intelligent cable. And subsequently, when the state to be inspected is marked, determining the marked position of the state to be inspected according to the cable line number and the subsection number information corresponding to the monitoring data, and marking corresponding to the position.
Optionally, the embodiment of the application further predicts the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result, so as to perform fault early warning analysis on the cable insulation performance according to the prediction result. When cable insulation performance is predicted, the monitoring data and the historical electromagnetic data are input into a pre-constructed cable insulation performance prediction model, and a corresponding prediction result is obtained.
The cable insulation performance prediction model is constructed through a linear regression mathematical model based on a machine learning algorithm to carry out prediction analysis. The monitoring data comprises real-time electric field monitoring data and magnetic field monitoring data, the historical electromagnetic data comprises historical electric field data and historical magnetic field data, and cable insulation performance prediction models of the electric field monitoring data and the magnetic field monitoring data are respectively constructed to respectively predict the monitoring data, namely prediction results, of the cable section line corresponding to the next monitoring period. And then according to the prediction result, the insulation performance of the next monitoring period of the corresponding cable sectional line can be evaluated.
The cable insulation performance prediction model comprises the following steps:
f(x i )＝w 1 x 1 +w 2 x 2 +...+w n x n
wherein [ w 1 ,w 2 ...,w n ]Influence coefficients of electric field or magnetic field monitoring data collected for different time nodes on the prediction result are constructed according to the rule of historical electromagnetic data, [ x ] 1 ,x 2 ...,x n ]Electric or magnetic field monitoring data, f (x), collected for different time nodes i ) Is a predicted value corresponding to the monitored data.
Specifically, taking prediction of electric field monitoring data as an example, by inputting real-time electric field monitoring data and historical electric field monitoring data into a cable insulation performance prediction model based on the electric field monitoring data, a prediction value corresponding to the electric field monitoring data, that is, a prediction result of the electric field monitoring data, can be obtained. Similarly, the real-time magnetic field monitoring data and the historical magnetic field monitoring data are input into a cable insulation performance prediction model based on the magnetic field monitoring data, and a prediction value corresponding to the magnetic field data, namely a prediction result of the magnetic field monitoring data, is output.
Further, based on the prediction result, fault early warning of the cable insulation performance can be performed by comparing corresponding monitoring threshold values. The manner of comparing the monitoring threshold value based on the prediction result is the same as the manner of comparing the monitoring threshold value based on the monitoring data and performing the insulation performance fault early warning, which is not repeated herein.
S130, when the cable insulation performance of the corresponding segmented line is in a preset state, waking up a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor of the associated segmented line, acquiring first temperature data acquired by the first temperature sensor, comparing the first temperature data with historical temperature data of the corresponding segmented line and the second temperature data acquired by the second temperature sensor, generating a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
Further, according to the embodiment of the application, under the condition that the cable insulation performance of the corresponding segmented line is determined to be in the preset state, fault early warning is further carried out by combining the temperature data of the cable segmented line, and the accuracy of the fault early warning of the cable insulation performance can be improved.
It can be understood that after the insulation performance of the cable is reduced, the cable can generate current leakage, and the leakage current can cause the insulation layer of the cable to generate heat. Therefore, by detecting the temperature data, the condition that the insulation performance of the cable segmental line is reduced at present can be further determined. Adopt the mode that temperature data detected to as this application based on the compensation mechanism of electromagnetic monitoring data aassessment cable insulation performance, realize more accurate, comprehensive cable insulation performance fault early warning.
Based on this, in the embodiment of the application, the temperature sensor of the current cable segment line is used for acquiring temperature data, the temperature sensor of the current cable segment line is defined as a first temperature sensor, and the temperature sensor of the current cable segment line is acquired by the first temperature sensor and is defined as first temperature data. Comparing the first temperature data with historical temperature data to perform secondary fault early warning according to a comparison result. In addition, when the insulation performance fault early warning is generated on the current cable segment line, the adjacent cable segment lines are close to each other in the environment, and the insulation performance fault condition may also occur. Therefore, in the embodiment of the present application, temperature data is further collected by the temperature sensor of the adjacent cable segment line, the adjacent cable segment line is defined as an associated segment line, the temperature sensor of the associated segment line is a second temperature sensor, and the temperature data of the associated segment line is collected by the second temperature sensor, and is defined as second temperature data. And comparing the second temperature data with the first temperature data to perform correlation fault early warning according to a comparison result.
And respectively comparing the historical temperature data with the second temperature data based on the first temperature data, and defining the comparison result as a second comparison result. And if the first temperature data is higher than the set temperature value of the historical temperature data in the second comparison result, the serious abnormity of the temperature of the current cable section line is shown. It may be caused by the deterioration of the insulation performance of the cable and the serious current leakage. Then triggering the secondary fault early warning at the moment and outputting secondary fault early warning information. The historical temperature data may be an average of all temperature monitoring values of the current cable segment line over a period of time. On the other hand, if the difference between the first temperature data and the second temperature data in the second comparison result is smaller than the set difference, it indicates that the insulation performance of the associated segment line is close to that of the current cable line. And the current primary fault early warning triggered by the cable line indicates that the cable insulation performance is abnormal. Similarly, the insulation performance of the associated segment line may be abnormal. Therefore, the insulation performance fault of the associated segmented line is further prompted by outputting the associated early warning information of the associated segmented line.
It should be noted that the secondary fault warning information indicates that the insulation performance of the cable is deteriorated, and the processing priority of the secondary fault warning information should be higher than that of the primary fault warning information. Therefore, operation and maintenance personnel can be ensured to preferentially process the early warning information with serious cable insulation performance faults, and the situation is prevented from further deteriorating to influence the safe operation of the whole cable line.
Optionally, the embodiment of the present application further marks the acquired first temperature data and the acquired second temperature data on corresponding segmented lines of the three-dimensional cable model in real time. By marking the temperature data on the three-dimensional model, the operation and maintenance personnel can conveniently check the temperature data. When the temperature data exceeds the standard, operation and maintenance personnel can be timely informed to process through a fault alarm signal, and the operation and maintenance effect of the cable is further optimized.
In one embodiment, the fault early warning can be performed based on the prediction result of the monitoring data. It can be understood that, the fault early warning will construct an early warning prompt standard in advance, the early warning prompt standard defines an early warning prompt index of the monitoring data prediction result, and the monitoring data prediction result exceeds the corresponding early warning prompt index, which indicates that the operation fault early warning prompt of the corresponding cable segment line needs to be performed.
For example, an upper limit of monitoring data is defined (the upper limit is generally higher than a monitoring threshold value to predict a condition of severe cable insulation performance deterioration), the predicted value is compared with the corresponding upper limit of the monitoring data according to the prediction result obtained by the cable insulation performance prediction model, and if the prediction result is greater than the upper limit of the monitoring data, an early warning prompt corresponding to a cable section line is output based on the prediction result.
Further, in an embodiment, early warning indication indexes of different levels may be set corresponding to the one-class monitoring data prediction result, and subsequently, when early warning indication is performed, early warning indication of a corresponding level is output according to the early warning indication index of the monitoring data prediction result exceeding the limit. For example, A, B and C are set as early warning indicators, corresponding to the first-level early warning, the second-level early warning and the third-level early warning. The higher the early warning level, the more serious the predicted cable insulation performance fault is. Based on the method, when the early warning prompt is determined according to the comparison of the early warning prompt indexes and the predicted values, the corresponding early warning level can be clearly prompted, and operation and maintenance personnel can conveniently know the serious condition of the current operation fault early warning.
As described above, referring to fig. 3, the monitoring data corresponding to the segment lines are collected by the electric field sensor and the magnetic field sensor, and the electric field sensor and the magnetic field sensor are arranged corresponding to each segment line of the cable; comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding sectional line when the cable insulation performance of the current corresponding sectional line is determined to be in a preset state based on the first comparison result; when the cable insulation performance of the corresponding segmented line is in a preset state, awakening a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line, acquiring first temperature data acquired by the first temperature sensor and second temperature data acquired by the second temperature sensor, comparing the first temperature data with historical temperature data and the second temperature data of the corresponding segmented line, generating a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information. By adopting the technical means, the cable insulation performance can be timely and accurately detected by detecting the electromagnetic monitoring data of the cable, and the accuracy of detecting the cable insulation performance is improved. And fault early warning analysis is carried out by combining with cable temperature detection data, and positioning alarm can be timely carried out on abnormal operation of the cable, so that safe operation of the cable is guaranteed, and the operation and maintenance effects of the cable are optimized.
The second embodiment:
on the basis of the foregoing embodiment, fig. 4 is a schematic structural diagram of a cable insulation performance fault early warning device provided in the second embodiment of the present application. Referring to fig. 4, the cable insulation performance fault early warning apparatus provided in this embodiment specifically includes: the system comprises an acquisition module 21, a primary early warning module 22 and a secondary early warning module 23.
The acquisition module 21 is configured to acquire monitoring data corresponding to a segment line through an electric field sensor and a magnetic field sensor, where the electric field sensor and the magnetic field sensor are arranged corresponding to each segment line of a cable;
the primary early warning module 22 is configured to compare the monitoring data with a preset monitoring threshold value, generate a first comparison result, and report primary fault early warning information of the currently corresponding segment line when it is determined that the cable insulation performance of the currently corresponding segment line is in a preset state based on the first comparison result;
the secondary early warning module 23 is configured to, when the cable insulation performance of the corresponding segment line is in a preset state, wake up a first temperature sensor disposed on the corresponding segment line and a second temperature sensor associated with the segment line, acquire first temperature data acquired by the first temperature sensor, compare the first temperature data with historical temperature data of the corresponding segment line and the second temperature data, generate a second comparison result, and report secondary fault early warning information of the corresponding segment line and associated early warning information of the associated segment line based on the second comparison result, where a processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
Further, the acquisition module is specifically configured to acquire an electric field signal acquired by an electric field sensor and a magnetic field signal acquired by a magnetic field sensor, and convert the electric field signal and the magnetic field signal into the monitoring data after signal amplification and filtering processing is performed on the electric field signal and the magnetic field signal by a signal processor.
Further, the method also comprises the following steps:
and the prediction module is used for predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result.
Further, the prediction module is specifically configured to input the monitoring data and the historical electromagnetic data into a pre-constructed cable insulation performance prediction model to obtain a corresponding prediction result.
The monitoring data corresponding to the segmented lines are acquired through the electric field sensor and the magnetic field sensor, and the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable; comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding segmented line when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result; when the cable insulation performance of the corresponding segmented line is in a preset state, awakening a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line, acquiring first temperature data acquired by the first temperature sensor and second temperature data acquired by the second temperature sensor, comparing the first temperature data with historical temperature data and the second temperature data of the corresponding segmented line, generating a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information. By adopting the technical means, the cable insulation performance can be timely and accurately detected by detecting the electromagnetic monitoring data of the cable, and the accuracy of detecting the cable insulation performance is improved. And the fault early warning analysis is carried out by combining the cable temperature detection data, and the positioning alarm can be carried out on the abnormal operation of the cable in time so as to ensure the safe operation of the cable and optimize the operation and maintenance effect of the cable.
The cable insulation performance fault early warning device provided by the second embodiment of the application can be used for executing the cable insulation performance fault early warning method provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 5, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the cable insulation performance fault early warning method according to any embodiment of the present application (for example, the acquisition module, the primary early warning module, and the secondary early warning module in the cable insulation performance fault early warning apparatus). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, so as to implement the cable insulation performance fault early warning method.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic equipment can be used for executing the cable insulation performance fault early warning method provided by the first embodiment, and has corresponding functions and beneficial effects.
Example four:
embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a cable insulation performance fault pre-warning method, including: collecting monitoring data of corresponding segmented lines through an electric field sensor and a magnetic field sensor, wherein the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable; comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding segmented line when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result; when the cable insulation performance of the corresponding segmented line is in a preset state, a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line are awakened, first temperature data collected by the first temperature sensor are obtained, second temperature data collected by the second temperature sensor are compared with historical temperature data of the corresponding segmented line and the second temperature data, a second comparison result is generated, secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line are reported based on the second comparison result, and the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the cable insulation performance fault early warning method described above, and may also perform related operations in the cable insulation performance fault early warning method provided in any embodiment of the present application.
The cable insulation performance fault early warning device, the storage medium, and the electronic device provided in the foregoing embodiments may execute the cable insulation performance fault early warning method provided in any embodiment of the present application, and refer to the cable insulation performance fault early warning method provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative only of the preferred embodiments of the invention and the principles of the technology employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. The utility model provides a cable insulation performance fault early warning device which characterized in that includes:
the acquisition module is used for acquiring monitoring data of corresponding segmented lines through an electric field sensor and a magnetic field sensor, and the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable;
the primary early warning module is used for comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding sectional line when the cable insulation performance of the current corresponding sectional line is determined to be in a preset state based on the first comparison result;
the secondary early warning module is used for awakening a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor of the associated segmented line when the cable insulation performance of the corresponding segmented line is in a preset state, acquiring first temperature data acquired by the first temperature sensor, acquiring second temperature data acquired by the second temperature sensor, comparing the first temperature data with historical temperature data of the corresponding segmented line and the second temperature data to generate a second comparison result, and reporting secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line based on the second comparison result, wherein the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
2. The cable insulation performance fault early warning device according to claim 1, wherein the acquisition module is specifically configured to acquire an electric field signal acquired by an electric field sensor and a magnetic field signal acquired by a magnetic field sensor, and convert the electric field signal and the magnetic field signal into the monitoring data after signal amplification and filtering processing is performed on the electric field signal and the magnetic field signal by a signal processor.
3. The cable insulation performance fault early warning device of claim 1, further comprising:
and the prediction module is used for predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result.
4. The cable insulation performance fault early warning device of claim 3, wherein the prediction module is specifically configured to input the monitoring data and the historical electromagnetic data into a pre-constructed cable insulation performance prediction model to obtain a corresponding prediction result.
5. A cable insulation performance fault early warning method is characterized by comprising the following steps:
collecting monitoring data of corresponding segmented lines through an electric field sensor and a magnetic field sensor, wherein the electric field sensor and the magnetic field sensor are arranged corresponding to each segmented line of the cable;
comparing the monitoring data with a preset monitoring threshold value to generate a first comparison result, and reporting primary fault early warning information of the current corresponding segmented line when the cable insulation performance of the current corresponding segmented line is determined to be in a preset state based on the first comparison result;
when the cable insulation performance of the corresponding segmented line is in a preset state, a first temperature sensor arranged on the corresponding segmented line and a second temperature sensor associated with the segmented line are awakened, first temperature data collected by the first temperature sensor are obtained, second temperature data collected by the second temperature sensor are compared with historical temperature data of the corresponding segmented line and the second temperature data, a second comparison result is generated, secondary fault early warning information of the corresponding segmented line and associated early warning information of the associated segmented line are reported based on the second comparison result, and the processing priority of the secondary fault early warning information is higher than that of the primary fault early warning information.
6. The cable insulation performance fault early warning method of claim 5, wherein the collecting of the monitoring data of the corresponding segmented lines by the electric field sensor and the magnetic field sensor comprises:
the method comprises the steps of acquiring electric field signals acquired by an electric field sensor and magnetic field signals acquired by a magnetic field sensor, and converting the electric field signals and the magnetic field signals into monitoring data after signal amplification and filtering processing is carried out on the electric field signals and the magnetic field signals through a signal processor.
7. The cable insulation performance fault early warning method of claim 5, further comprising:
and predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result.
8. The cable insulation performance fault early warning method of claim 7, wherein the predicting the cable insulation performance of the corresponding segmented line based on the monitoring data and the historical electromagnetic data of the corresponding segmented line to obtain a corresponding prediction result comprises:
and inputting the monitoring data and the historical electromagnetic data into a pre-constructed cable insulation performance prediction model to obtain a corresponding prediction result.
9. An electronic device, comprising:
a memory and one or more processors;
the memory to store one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the cable insulation performance fault pre-warning method of any one of claims 5-8.
10. A storage medium containing computer executable instructions for performing the cable insulation performance fault pre-warning method of any one of claims 5 to 8 when executed by a computer processor.
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