CN117630600A - GIS partial discharge diagnosis system - Google Patents
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Abstract
The application provides a GIS partial discharge diagnosis system, which comprises: an analysis diagnosis center, a mobile terminal and a plurality of sensors; each of the sensors is arranged at a predetermined position of the power equipment; the sensor is used for acquiring a GIS partial discharge signal in the power equipment and transmitting the GIS partial discharge signal to the analysis and diagnosis center; the analysis and diagnosis center is used for analyzing the GIS partial discharge signal to obtain an analysis result and storing the analysis result; and the mobile terminal is used for checking the analysis result stored in the analysis and diagnosis center. According to the system, the sensors are arranged at the preset positions of the power equipment, the GIS partial discharge signals generated in the power equipment are obtained through the sensors, the GIS partial discharge signals are analyzed through the analysis and diagnosis center, analysis results are obtained, and then the analysis results are displayed for a user to check, so that manual participation is reduced, and the GIS partial discharge diagnosis efficiency is improved.
Description
Technical Field
The application relates to the technical field of intelligent diagnosis, in particular to a GIS partial discharge diagnosis system.
Background
GIS (gas insulated switchgear ) partial discharge is a common electrical equipment failure that occurs for a number of reasons, such as insulation degradation, mechanical damage, and the like. GIS partial discharge has an important influence on the operation safety and stability of power equipment, so monitoring and diagnosis of GIS partial discharge are very important. In the current GIS partial discharge diagnosis process, human intervention time is more, diagnosis time is longer, and GIS partial discharge diagnosis efficiency is low.
Disclosure of Invention
The present application aims to solve at least one of the above technical drawbacks, and particularly to diagnose the technical defect of low GIS partial discharge efficiency in the prior art.
In a first aspect, an embodiment of the present application provides a GIS partial discharge diagnosis system, including:
an analysis diagnosis center, a mobile terminal and a plurality of sensors;
each of the sensors is arranged at a predetermined position of the power equipment;
the sensor is used for acquiring a GIS partial discharge signal in the power equipment and transmitting the GIS partial discharge signal to the analysis and diagnosis center;
the analysis and diagnosis center is used for analyzing the GIS partial discharge signal to obtain an analysis result and storing the analysis result;
the mobile terminal is used for checking the analysis results stored in the analysis and diagnosis center;
wherein:
the sensor comprises:
the signal acquisition unit is used for acquiring equipment signals generated inside the power equipment;
the signal processing unit is used for sequentially carrying out filtering processing, amplifying processing, detecting processing and analog-to-digital conversion processing on the equipment signals so as to obtain the GIS partial discharge signals in the equipment signals;
and the verification unit is used for judging whether the working state of the sensor is normal or not according to a preset period.
In one embodiment, the analytical diagnostic center includes:
the monitoring unit is used for monitoring the basic characteristic parameters of the GIS partial discharge signals acquired by the sensor and determining abnormal information corresponding to the GIS partial discharge signals;
the alarm unit is used for alarming the abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit;
the diagnosis unit is used for identifying the discharge type corresponding to the GIS partial discharge signal, determining the occurrence probability of the discharge type by applying a preset formula set, diagnosing the abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit and determining a diagnosis result;
the display unit is used for displaying the map of the GIS partial discharge signal and a plane wiring diagram among the sensors;
and the storage unit is used for storing the abnormality information, the diagnosis result, the map and the plane wiring diagram.
In one embodiment, the basic characteristic parameters include: partial discharge amplitude, discharge quantity average, phase and frequency.
In one embodiment, the alarm unit includes:
the setting unit is used for setting an alarm strategy;
and the classification unit is used for classifying each abnormal condition contained in the abnormal information and uploading the classified abnormal conditions to the storage unit.
In one embodiment, the preset formula set includes: a first formula and a second formula;
wherein:
the first formula is:
wherein R is the output discharge type; lambda is the characteristic quantity of the input GIS partial discharge signal; b is a bias parameter;
the second formula is:
wherein P is the probability of occurrence of the ith discharge type; n is the total number of discharge types; n is the category number of the discharge type; i=1, 2,..n.
In one embodiment, the spectrum of the GIS partial discharge signal includes:
a partial discharge phase distribution pattern and a pulse sequence phase distribution pattern.
In one embodiment, the mobile terminal comprises an application APP;
the application APP is used for accessing the analysis and diagnosis center and checking the analysis results stored in the analysis and diagnosis center.
In one embodiment, the verification unit includes:
and the transmitting unit is used for transmitting the ultrahigh frequency check pulse to each sensor.
In one embodiment, the verification unit includes:
and the report generation unit is used for converting the judgment result of the working state of the sensor by the verification unit into a verification report.
In one embodiment, the method further comprises:
and the wake-up unit is used for waking up the analysis and diagnosis center and each sensor at the same time.
A GIS partial discharge diagnostic system provided in some embodiments of the present application includes: an analysis diagnosis center, a mobile terminal and a plurality of sensors; each of the sensors is arranged at a predetermined position of the power equipment; the sensor is used for acquiring a GIS partial discharge signal in the power equipment and transmitting the GIS partial discharge signal to the analysis and diagnosis center; the analysis and diagnosis center is used for analyzing the GIS partial discharge signal to obtain an analysis result and storing the analysis result; the mobile terminal is used for checking the analysis results stored in the analysis and diagnosis center; wherein: the sensor comprises: the signal acquisition unit is used for acquiring equipment signals generated inside the power equipment; the signal processing unit is used for sequentially carrying out filtering processing, amplifying processing, detecting processing and analog-to-digital conversion processing on the equipment signals so as to obtain the GIS partial discharge signals in the equipment signals; and the verification unit is used for judging whether the working state of the sensor is normal or not according to a preset period. According to the system provided by the embodiment of the application, the sensors are arranged at the preset positions of the power equipment, the GIS partial discharge signals generated in the power equipment are obtained through the sensors, the GIS partial discharge signals are analyzed through the analysis and diagnosis center, analysis results are obtained, and then the analysis results are displayed for a user to check, so that manual participation is reduced, and the GIS partial discharge diagnosis efficiency is improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a GIS partial discharge diagnosis system in an embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In some embodiments, the present application provides a GIS partial discharge diagnosis system for monitoring and diagnosing GIS partial discharge generated in a power device, a structural schematic diagram of which is shown in fig. 1, and fig. 1 is a feasible schematic diagram of the GIS partial discharge diagnosis system provided in the present application, which specifically includes:
an analysis diagnosis center 002, a mobile terminal 301, and a plurality of sensors 001;
each of the sensors 001 is provided at a predetermined position of the power equipment;
the sensor 001 is configured to obtain a GIS partial discharge signal in the electrical device, and transmit the GIS partial discharge signal to the analysis and diagnosis center 002;
the analysis and diagnosis center 002 is configured to analyze the GIS partial discharge signal to obtain an analysis result, and store the analysis result;
the mobile terminal 301 is configured to view the analysis result stored in the analysis and diagnosis center 002;
wherein:
the sensor 001 includes:
a signal acquisition unit 101, configured to acquire an equipment signal generated inside the power equipment;
a signal processing unit 102, configured to sequentially perform filtering processing, amplifying processing, detecting processing, and analog-to-digital conversion processing on the device signal, so as to obtain the GIS partial discharge signal in the device signal;
and a checking unit 103, configured to determine whether the working state of the sensor is normal according to a predetermined period.
In the GIS partial discharge diagnosis system provided in this embodiment of the present application, only one sensor is shown in fig. 1, the connection relationship between the internal components of each sensor, and the connection relationship between each sensor and each component in the analysis and diagnosis center are the same, and those skilled in the art can understand the connection lines of multiple sensors according to the structural presentation of fig. 1.
In the embodiment of the application, the position where the GIS partial discharge of the power equipment possibly occurs is predetermined as a predetermined position, and a sensor is arranged at each predetermined position to collect the GIS partial discharge signal occurring at the predetermined position.
According to the GIS partial discharge diagnosis system, the GIS partial discharge signals in the power equipment are collected and processed through the relatively intelligent sensor and then transmitted to the analysis diagnosis center for further analysis and storage, a user can check analysis results stored in the analysis diagnosis center through the mobile terminal, the generated GIS partial discharge signals are monitored and analyzed through the GIS partial discharge diagnosis system provided by the embodiment of the application, manual participation is reduced, and diagnosis efficiency of GIS partial discharge diagnosis is improved.
In the embodiment of the application, the transmitting unit in the checking unit transmits the ultrahigh frequency checking pulse to each sensor in the process of judging the working state of the sensor.
And the report generation unit is used for converting the judgment result of the working state of the sensor by the verification unit into a verification report.
And the wake-up unit is used for waking up the analysis and diagnosis center and each sensor at the same time.
In this embodiment of the present application, the calibration unit divides the area where each sensor to be calibrated is located into a plurality of calibration areas according to the relative distance between each sensor to be calibrated, each calibration area includes at least one sensor, and the calibration unit performs calibration on each sensor in each calibration area in batches.
In the embodiment of the application, the awakening unit can awaken all the sensors and the analysis and diagnosis center at the same time, so that the accurate time synchronization between the analysis and diagnosis center and the intelligent sensor is ensured.
After each sensor is checked for one round, the checking unit enters a dormant state, and the checking unit continues to check each sensor at the wake-up point of the next period.
In this embodiment of the present application, a verification unit may be set to verify all the sensors, where the verification unit may belong to each sensor, or may set a verification unit for each sensor, and is dedicated to verify each sensor.
In this embodiment, the analysis and diagnosis center 002 includes:
the monitoring unit 201 is configured to monitor the basic characteristic parameter of the GIS partial discharge signal acquired by the sensor 001, and determine abnormal information corresponding to the GIS partial discharge signal;
an alarm unit 202, configured to alarm abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit 201;
the diagnosing unit 203 is configured to identify a discharge type corresponding to the GIS partial discharge signal, determine an occurrence probability of the discharge type by applying a preset formula set, diagnose abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit 201, and determine a diagnosis result;
a display unit 204, configured to display a map of the GIS partial discharge signal and a planar wiring diagram between the sensors 001;
and a storage unit 205 configured to store the abnormality information, the diagnosis result, the map, and the planar wiring diagram.
In this embodiment of the present application, the basic characteristic parameters include: partial discharge amplitude, discharge quantity average, phase and frequency.
In the embodiment of the application, the display unit may display the position and the number of the sensor where the abnormal situation occurs.
In this embodiment of the present application, the alarm unit includes:
the setting unit is used for setting an alarm strategy;
and the classification unit is used for classifying each abnormal condition contained in the abnormal information and uploading the classified abnormal conditions to the storage unit.
In this embodiment of the present application, the preset formula set includes: a first formula and a second formula;
wherein:
the first formula is:
wherein R is the output discharge type; lambda is the characteristic quantity of the input GIS partial discharge signal; b is a bias parameter;
the second formula is:
wherein P is the probability of occurrence of the ith discharge type; n is the total number of discharge types; n is the category number of the discharge type; i=1, 2,..n.
In this embodiment of the present application, the spectrum of the GIS partial discharge signal includes:
a partial discharge phase distribution pattern and a pulse sequence phase distribution pattern.
In this embodiment of the present application, the mobile terminal includes an APP;
the application APP is used for accessing the analysis and diagnosis center and checking the analysis results stored in the analysis and diagnosis center.
Further, the mobile terminal comprises a browser and a mobile phone APP, wherein the browser and the mobile phone APP can both view the partial discharge signal of the intelligent sensor in real time, and the mobile phone APP can view the historical data in the storage unit.
The GIS partial discharge diagnosis system provided by the embodiment of the application has the function of checking the sensor regularly, provides a checking report of the sensor, improves the reliability and the effectiveness of monitoring data, monitors and analyzes the partial discharge signal by the analysis diagnosis center, generates a characteristic map, can observe the data of the partial discharge signal in real time, and is convenient for staff to observe and analyze.
In addition, the system also has the functions of fault type classification and identification and classification of abnormal discharge, and can rapidly distinguish the sensors with alarms and fault reasons when the alarms occur, so that the working intensity of staff is reduced, and the efficiency of fault diagnosis is greatly improved.
In this embodiment of the present application, the mobile terminal may include a browser and an application APP, where both the browser and the application APP can view, in real time, a GIS partial discharge signal acquired by the sensor, and the application APP can view historical data in the storage unit.
In the embodiment of the application, each sensor is provided with an independent signal acquisition unit, when the GIS partial discharge signals are acquired, the phase synchronization acquisition can be realized in an infinite synchronization mode, the synchronization frequency is 50Hz, and the acquired local amplification signals are subjected to filtering, amplification, detection processing and analog-to-digital conversion of the signal processing units, so that the GIS partial discharge signals which are finally needed are obtained.
The filtering processing mainly filters and optimizes the collected initial local amplified signals, removes unnecessary signal components, extracts useful signals and improves the quality and anti-interference capability of the signals; the signal amplification processing mainly improves the strength of signals and the communication capacity of the system; the detection process mainly extracts useful signals from the modulated signals for subsequent processing or analysis; the analog-to-digital conversion process is mainly to convert an analog signal into a digital signal for later transmission and computer analysis.
After the GIS partial discharge signals which can be analyzed are obtained, the GIS partial discharge signals are automatically stored in a storage unit in real time, a user can check the data of the GIS partial discharge signals in real time by using an application APP or a browser, and meanwhile, in order to ensure the stability of GIS equipment, a monitoring unit monitors the amplitude, the discharge quantity average value, the phase and the frequency of partial discharge of the equipment in real time, and an ultrahigh frequency partial discharge phase distribution map and a pulse sequence phase distribution map of each monitoring point are displayed in a display unit in real time.
In the embodiment of the application, the alarm strategy can be set in advance in the monitoring process, the alarm strategy can comprehensively apply a plurality of early warning methods such as threshold value alarm, associated alarm and trend alarm, if partial discharge signal abnormality occurs, a monitoring function fault and communication interruption alarm system can automatically identify the type of alarm information and automatically alarm, the alarm information can be automatically classified and uploaded to a storage unit, because the display unit comprises a schematic diagram and a plane wiring schematic diagram of a sensor, the display unit can automatically display the position and the number of the alarm sensor when in alarm, meanwhile, the diagnosis unit can analyze the reason of the alarm, identify the type of discharge, can identify the typical discharge types such as free metal particle discharge, suspended potential body discharge, creeping discharge, air gap discharge in an insulating part, metal tip and the like in the equipment, and can calculate the probability of the occurrence of the discharge types, and the specific calculation is as follows:
the type of discharge is identified and the probability of occurrence of the type is based on a network neural algorithm, and the main formula is as follows:
wherein R is the partial discharge type of the output; lambda is a characteristic quantity of an input discharge signal; b is a bias parameter; when the discharge type is identified, the characteristic quantity of the partial discharge signal can be used as the input of the neural network, and the partial discharge type can be used as the output of the neural network. Then, the number of layers and the number of neurons of the neural network are set, and the number of neurons of the input layer, the hidden layer and the output layer is determined. The number of neurons of the input layer depends on the number of feature quantities of the partial discharge signal, and the number of neurons of the output layer depends on the number of partial discharge types. The number of neurons of the hidden layer can be adjusted according to actual conditions so as to realize the optimal recognition effect, and the hidden layer can learn the mapping relation from the characteristic quantity of the discharge signal to the partial discharge type and probability. The bias parameter b is introduced into an algorithm formula, and the bias can be regarded as controlling the threshold value of each neuron to influence the activation state of the neuron. When the weighted input is less than-b, the output value is-1, i.e., suppressed; when the weighted input is greater than or equal to-b, the output value is 1, i.e., active. Where the weighted input b=kλ+w, k is the weight of the feature of the discharge signal and w is the duty cycle of the feature, therefore, the bias can help the neuron learn faster and achieve better performance.
Further, the method comprises the steps of,
wherein P is the probability of occurrence of the ith type; n is the total number of types; n is the category number of the type; i=1, 2,..n. The type of discharge is automatically identified, the probability of certain discharge type is calculated, the working intensity of staff is reduced, and the fault diagnosis efficiency is greatly improved.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Herein, "a," "an," "the," and "the" may also include plural forms, unless the context clearly indicates otherwise. Plural means at least two cases such as 2, 3, 5 or 8, etc. "and/or" includes any and all combinations of the associated listed items.
In the present specification, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and may be combined according to needs, and the same similar parts may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A GIS partial discharge diagnostic system, comprising:
an analysis diagnosis center, a mobile terminal and a plurality of sensors;
each of the sensors is arranged at a predetermined position of the power equipment;
the sensor is used for acquiring a GIS partial discharge signal in the power equipment and transmitting the GIS partial discharge signal to the analysis and diagnosis center;
the analysis and diagnosis center is used for analyzing the GIS partial discharge signal to obtain an analysis result and storing the analysis result;
the mobile terminal is used for checking the analysis results stored in the analysis and diagnosis center;
wherein:
the sensor comprises:
the signal acquisition unit is used for acquiring equipment signals generated inside the power equipment;
the signal processing unit is used for sequentially carrying out filtering processing, amplifying processing, detecting processing and analog-to-digital conversion processing on the equipment signals so as to obtain the GIS partial discharge signals in the equipment signals;
and the verification unit is used for judging whether the working state of the sensor is normal or not according to a preset period.
2. The GIS partial discharge diagnostic system of claim 1, wherein the analytic diagnostic center comprises:
the monitoring unit is used for monitoring the basic characteristic parameters of the GIS partial discharge signals acquired by the sensor and determining abnormal information corresponding to the GIS partial discharge signals;
the alarm unit is used for alarming the abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit;
the diagnosis unit is used for identifying the discharge type corresponding to the GIS partial discharge signal, determining the occurrence probability of the discharge type by applying a preset formula set, diagnosing the abnormal information corresponding to the GIS partial discharge signal determined by the monitoring unit and determining a diagnosis result;
the display unit is used for displaying the map of the GIS partial discharge signal and a plane wiring diagram among the sensors;
and the storage unit is used for storing the abnormality information, the diagnosis result, the map and the plane wiring diagram.
3. The partial discharge diagnostic system of claim 2, wherein the basic characteristic parameters include: partial discharge amplitude, discharge quantity average, phase and frequency.
4. The partial discharge diagnostic system according to claim 2, wherein the alarm unit includes:
the setting unit is used for setting an alarm strategy;
and the classification unit is used for classifying each abnormal condition contained in the abnormal information and uploading the classified abnormal conditions to the storage unit.
5. The partial discharge diagnostic system of claim 2, wherein the set of preset formulas comprises: a first formula and a second formula;
wherein:
the first formula is:
wherein R is the output discharge type; lambda is the characteristic quantity of the input GIS partial discharge signal; b is a bias parameter;
the second formula is:
wherein P is the probability of occurrence of the ith discharge type; n is the total number of discharge types; n is the category number of the discharge type; i=1, 2,..n.
6. The partial discharge diagnostic system of claim 2, wherein the map of GIS partial discharge signals comprises:
a partial discharge phase distribution pattern and a pulse sequence phase distribution pattern.
7. The partial discharge diagnostic system of claim 1, wherein the mobile terminal comprises an application APP;
the application APP is used for accessing the analysis and diagnosis center and checking the analysis results stored in the analysis and diagnosis center.
8. The partial discharge diagnostic system of claim 1, wherein the verification unit comprises:
and the transmitting unit is used for transmitting the ultrahigh frequency check pulse to each sensor.
9. The partial discharge diagnostic system of claim 1, wherein the verification unit comprises:
and the report generation unit is used for converting the judgment result of the working state of the sensor by the verification unit into a verification report.
10. The partial discharge diagnostic system of claim 1, further comprising:
and the wake-up unit is used for waking up the analysis and diagnosis center and each sensor at the same time.
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