GIS ultrahigh frequency partial discharge online monitoring equipment pulse recognition rate detection method

Abstract

The invention provides a GIS ultrahigh-frequency partial discharge on-line monitoring equipment pulse recognition rate detection method, which comprises the following steps: acquiring GIS ultrahigh-frequency real partial discharge signals, eliminating interference signals of the GIS ultrahigh-frequency real partial discharge signals, and obtaining effective signals after the interference signals are eliminated; reconstructing the effective signal from which the interference signal is eliminated to obtain an ultrahigh frequency simulation construction signal; the PRPD atlas of the test ultrahigh frequency simulation construction signal is consistent with the PRPD atlas of the GIS ultrahigh frequency real partial discharge signal; building a GIS ultrahigh frequency partial discharge on-line monitoring system, and carrying out the pulse recognition rate detection of the GIS ultrahigh frequency partial discharge on-line monitoring system through employing the ultrahigh frequency simulation construction signal; and determining the pulse recognition rate of the GIS ultrahigh frequency partial discharge online monitoring equipment. The operation is simple and convenient, and the practicability is high.

Description

Technical Field

[0001] The invention relates to the technical field of electrical information measurement, and in particular to a pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment. Background Art

[0002] Gas Insulated Switchgear (GIS) is a key equipment in power system. Frequent GIS insulation discharge failures pose a great threat to the safe operation of power grid.

[0003] Usually, ultra high frequency (UHF) live detection is used to diagnose whether there is partial discharge defect inside the GIS. At present, some manufacturers have produced GIS ultra high frequency partial discharge online monitoring equipment.

[0004] The pulse recognition rate of the UHF partial discharge online monitoring equipment reflects the monitoring system's ability to identify the number of discharge pulses, and is an important parameter of the performance of this type of partial discharge online monitoring equipment. Therefore, the detection of the pulse recognition rate of the UHF partial discharge online monitoring equipment is of great significance in engineering applications. Summary of the invention

[0005] In view of this, the present application provides a pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment, aiming to solve the problem of lack of pulse recognition rate detection method for ultra-high frequency partial discharge online monitoring equipment in the prior art.

[0006] The present application provides a pulse recognition rate detection method for a GIS ultra-high frequency partial discharge online monitoring device, comprising:

[0007] Collect the real partial discharge signal of GIS UHF, eliminate its interference signal, and obtain the effective signal after eliminating the interference signal;

[0008] Reconstruct the effective signal after eliminating the interference signal to obtain a UHF analog construction signal;

[0009] The PRPD spectrum of the UHF simulated signal is consistent with the PRPD spectrum of the GIS UHF real partial discharge signal;

[0010] A GIS ultra-high frequency partial discharge online monitoring system is constructed to use the ultra-high frequency simulation signal to perform a pulse recognition rate test on the GIS ultra-high frequency partial discharge online monitoring device;

[0011] Determine the pulse recognition rate of GIS UHF partial discharge online monitoring equipment.

[0012] Furthermore, the collecting of the GIS UHF real partial discharge signal, eliminating its interference signal, and obtaining the effective signal after eliminating the interference signal includes:

[0013] A plurality of groups of GIS ultra-high frequency partial discharge signals of different defect types are collected on site, and their interference signals are eliminated respectively to obtain effective signals after eliminating the interference signals, wherein the effective signals include a plurality of pulses.

[0014] Furthermore, the collecting of multiple groups of GIS UHF partial discharge signals of different defect types at the GIS site includes:

[0015] Arrange multiple built-in UHF sensors to detect internal discharge signals of GIS;

[0016] Arrange at least one external space UHF sensor to detect discharge signals in the external space of GIS;

[0017] Defect types include any of the following: tip defects, suspension defects, air gap defects, particle defects, and poor contact current type defects.

[0018] Furthermore, the effective signal after eliminating the interference signal is reconstructed to obtain a UHF analog construction signal, including:

[0019] Generate an injection signal for an arbitrary signal generator;

[0020] generating a trigger source signal for a trigger signal output device;

[0021] The injection signal is introduced into an arbitrary signal generator, the trigger source is introduced into a trigger signal output device, the signal output port of the trigger signal output device is connected to the trigger port of the arbitrary signal generator, and the phase of the first group of signals emitted is made the same as the phase of the group of signals collected on site through an industrial frequency phase controller, so that the arbitrary signal generator outputs an ultra-high frequency simulated constructed signal having a PRPD spectrum characteristic similar to that of the ultra-high frequency real partial discharge signal collected on site.

[0022] Further, generating an injection signal for an arbitrary signal generator includes:

[0023] Extract the initial phase of each pulse-shaped UHF real partial discharge signal from the effective signal after eliminating interference, and arrange the initial phases corresponding to the UHF real partial discharge signal in order from small to large;

[0024] Extracting the ultra-high frequency real partial discharge signal with an initial phase of 0-359° in cycles, wherein the same or different numbers of partial discharge signals are extracted in each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0025] The partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle (such as having the same sequence number of the cycle) are sorted in sequence from small to large according to the initial phase to obtain the injection signal.

[0026] Further, the generating of the trigger source signal for the trigger signal output device includes:

[0027] According to the characteristic that each cycle time is 20ms, the time interval between each two adjacent points of any signal generator is calculated, and a trigger source signal is generated according to the time interval; the trigger source signal is used to be introduced into the trigger signal output device.

[0028] Furthermore, the PRPD spectrum of the test UHF simulated signal is consistent with the PRPD spectrum of the GIS UHF real partial discharge signal, including:

[0029] An arbitrary signal generator is used as a signal output source, the constructed ultra-high frequency simulation signal is introduced into the arbitrary signal generator, the initial phase of the first pulse signal is controlled by an industrial frequency phase controller to be consistent with the initial phase of the actual partial discharge signal detected on site, the trigger source signal is introduced into the trigger signal output device, and output to the trigger port of the arbitrary signal generator;

[0030] The output signal of any signal generator is measured with an oscilloscope, and the output signal is exported to generate a PRPD spectrum of the simulated constructed signal.

[0031] Furthermore, the construction of the GIS ultra-high frequency partial discharge online monitoring system to use the ultra-high frequency simulation signal to perform pulse recognition rate inspection on the GIS ultra-high frequency partial discharge online monitoring equipment includes:

[0032] Connect the coaxial cable of the designated channel of the online monitoring device to the output port of any signal generator, and connect the output port of the power frequency phase controller to the trigger port of any signal generator; import the trigger source signal into the trigger signal output device, and output it to the trigger port of any signal generator; control the arbitrary signal generator as a signal output source, and output a reconstructed ultra-high frequency analog constructed signal in the form of a pulse; use the power frequency phase controller to control the initial phase of the first pulse signal to be consistent with the initial phase of the actual partial discharge signal detected on site, so as to further use the program to record the number of pulses displayed on the display interface of the online monitoring device.

[0033] Furthermore, the step of determining the pulse recognition rate of the GIS ultra-high frequency partial discharge online monitoring device includes:

[0034] Use the program to record the number of pulses Y displayed on the display interface of the online monitoring device, and calculate the pulse recognition rate ρ of the online monitoring device according to the following formula:

[0035] ρ=Y / 1000*100%;

[0036] The discharge pulse identification error δ is determined according to the following formula:

[0037] δ=|1-ρ|;

[0038] Among them, the discharge pulse recognition error of the online monitoring equipment is no more than 5%.

[0039] Furthermore, the built-in UHF sensor or the external space UHF sensor is a wideband UHF sensor of 30 MHz to 150 MHz.

[0040] In summary, the pulse recognition rate detection method of the GIS UHF partial discharge online monitoring equipment provided by the present invention is as follows:

[0041] The pulse recognition rate detection method of GIS ultra-high frequency partial discharge online monitoring equipment provided by the present invention comprises the following steps: an arbitrary signal generator outputs a simulated construction signal, a trigger signal output device provides a trigger signal for the arbitrary signal generator, an industrial frequency phase controller controls the initial phase of the output signal, and the online monitoring equipment receives the construction signal sent by the arbitrary signal generator; an ultra-high frequency real partial discharge signal collected on-site is reconstructed into a simulated ultra-high frequency partial discharge signal, and the arbitrary signal generator is used to directly send several groups of simulated partial discharge signals containing different defects to the designated channel of the online monitoring equipment in sequence, and the pulse recognition rate displayed by the online monitoring equipment is recorded.

[0042] The pulse recognition rate detection method of the GIS ultra-high frequency partial discharge online monitoring equipment is easy to implement on site, simple to operate, and highly practical, and can be widely used in the inspection of the pulse recognition rate of ultra-high frequency partial discharge online monitoring equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0044] Figure 1 A schematic flow chart of a pulse recognition rate detection method for a GIS ultra-high frequency partial discharge online monitoring device according to an embodiment of the present application;

[0045] Figure 2 It is a schematic diagram of the on-site arrangement method of UHF sensor signal collection in the pulse recognition rate detection method of the GIS UHF partial discharge online monitoring equipment in the embodiment of the present application;

[0046] Figure 3A It is the PRPD spectrum of the real partial discharge signal of the UHF field in the embodiment of this application;

[0047] Figure 3B The PRPD spectrum of the signal is simulated and constructed in the embodiment of the present application;

[0048] Figure 4 This is a connection diagram of a GIS ultra-high frequency partial discharge online monitoring system according to an embodiment of the present application;

[0049] Figure 5 This is a schematic diagram of the pulse counting interface of a GIS ultra-high frequency partial discharge online monitoring device in an embodiment of the present application. DETAILED DESCRIPTION

[0050] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to be able to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other.

[0051] Partial discharge refers to the discharge phenomenon when the field strength generated by the applied voltage in the power equipment is strong enough to cause the local area of ​​the insulation to break down. Partial discharge indicates that there is a certain defect in the insulation of the power equipment. Different types of partial discharge will have different degrees of impact on the life of the equipment. Some partial discharges have little effect in the short term, but long-term discharge erosion will cause aging of the equipment insulation and then cause insulation failure, such as internal air gap discharge of insulation; some partial discharges may quickly lead to insulation failure after they occur, such as surface flashover caused by foreign matter on the surface of basin insulators.

[0052] The Phase Resolved Partial Discharge (PRPD) spectrum describes the amplitude (Y-axis) and phase angle (X-axis) of each discharge event, and can intuitively illustrate the partial discharge activity for 360 degrees of an AC cycle.

[0053] In view of the current lack of effective pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment, the present invention proposes a pulse recognition rate detection method for ultra-high frequency partial discharge online monitoring equipment based on partial discharge signal reconstruction to test the pulse recognition rate of ultra-high frequency partial discharge online monitoring equipment.

[0054] For UHF partial discharge online monitoring equipment, such as Figure 1 As shown, the pulse recognition rate detection method of the GIS ultra-high frequency partial discharge online monitoring equipment in an embodiment of the present invention is based on partial discharge signal reconstruction and includes the following steps S10 to S50.

[0055] S10: Collecting the real partial discharge signal of the GIS ultra-high frequency, eliminating its interference signal, and obtaining the effective signal after eliminating the interference signal, wherein the effective signal includes a plurality of pulses.

[0056] Specifically, multiple groups of GIS UHF partial discharge signals of different defect types are collected at the GIS site. When collecting GIS UHF real partial discharge signals, the layout diagram of the sensors at the site is as follows: Figure 2 As shown, sensors 1, 2, and 3 are built-in UHF sensors used to detect partial discharge signals inside the GIS, and sensor 4 is an external space UHF sensor used to detect partial discharge signals outside the GIS. Figure 2 It is shown that the external UHF sensor is usually installed at the edge of the pot insulator; if the pot insulator has a metal shield, it is installed at the pouring mouth.

[0057] Specifically, the built-in UHF sensor or the external space UHF sensor is a wideband UHF sensor of 30MHz-150MHz.

[0058] Specifically, when collecting the ultra-high frequency real partial discharge signal of GIS, the ultra-high frequency real partial discharge signal is collected respectively for GIS containing different defects; among which, the defect types of GIS include any of the following: voltage defects such as tip defects, suspension defects, air gap defects, particle defects and current type defects such as poor contact.

[0059] In some embodiments, a GIS UHF real partial discharge signal with 1000 pulses is collected on site.

[0060] Specifically, by comparing the output signals of the built-in sensor channel and the external sensor channel, the interference signal in the GIS UHF partial discharge signal collected on-site can be eliminated, and the effective signal after eliminating the interference signal, or the UHF real signal, can be obtained.

[0061] Furthermore, it also includes: processing the effective signal obtained after eliminating the interference signal to generate a PRPD spectrum of the ultra-high frequency real signal.

[0062] S20: Reconstruct the effective signal after eliminating the interference signal to obtain an ultra-high frequency analog constructed signal.

[0063] Specifically, the UHF real partial discharge signal is reconstructed so that any signal generator outputs an UHF simulated constructed signal having a PRPD spectrum characteristic similar to that of the UHF real partial discharge signal collected on-site.

[0064] Specifically, reconstructing the valid signal after eliminating the interference signal includes:

[0065] Generate an injection signal for an arbitrary signal generator;

[0066] generating a trigger source signal for a trigger signal output device;

[0067] The injection signal is introduced into an arbitrary signal generator, the trigger source is introduced into a trigger signal output device, the signal output port of the trigger signal output device is connected to the trigger port of the arbitrary signal generator, and the phase of the first group of signals emitted is made the same as the phase of the group of signals collected on site through an industrial frequency phase controller, so that the arbitrary signal generator outputs an ultra-high frequency simulated constructed signal having a PRPD spectrum characteristic similar to that of the ultra-high frequency real partial discharge signal collected on site.

[0068] Specifically, generating an injection signal for an arbitrary signal generator includes:

[0069] Extract the initial phase of each pulse-shaped UHF real partial discharge signal from the effective signal after eliminating interference, and arrange the initial phases corresponding to the UHF real partial discharge signal in order from small to large;

[0070] Extracting the ultra-high frequency real partial discharge signal with an initial phase of 0-359° in cycles, wherein the same or different numbers of partial discharge signals are extracted in each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0071] The partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle (such as having the same sequence number of the cycle) are sorted in sequence from small to large according to the initial phase to obtain the injection signal.

[0072] In the above, the UHF PD signals sorted by cycle number and initial phase size are used as injection signals, and the injection signals are sequentially introduced into any signal generator.

[0073] In some embodiments, 50 cycles of ultra-high frequency partial discharge pulse signals are extracted, and the serial numbers of the 50 cycles are recorded as 1 to 50 respectively.

[0074] Specifically, generating a trigger source signal for a trigger signal output device includes:

[0075] According to the characteristic that each cycle time is 20ms (the industrial frequency alternating current of 50Hz corresponds to a cycle time of 20ms), the time interval between each two adjacent points of any signal generator is calculated, and a trigger source signal is generated according to the time interval; the trigger source signal is used to be imported into the trigger signal output device.

[0076] In some embodiments, a trigger sequence is set according to the time difference of each adjacent pulse signal in the ultra-high frequency real partial discharge signal in each pulse form in the effective signal after eliminating interference, and is introduced into the trigger signal output device as a trigger source signal of an arbitrary signal generator. The first group of signals emitted is made to have the same phase as the group of signals collected on-site through an industrial frequency phase controller, so that the arbitrary signal generator emits an ultra-high frequency simulated constructed signal having a PRPD spectrum characteristic similar to that of the ultra-high frequency real partial discharge signal collected on-site.

[0077] As mentioned above, the UHF analog constructed signal output by the arbitrary signal generator has the same amplitude and phase characteristics as the PRPD spectrum of the UHF real partial discharge signal collected on site, so the arbitrary signal generator outputs the constructed UHF analog constructed signal. In this way, the signal reconstruction is completed.

[0078] In this way, the GIS partial discharge signal simulation construction method sorts the ultra-high frequency real partial discharge signal data collected on-site according to the phase characteristics, and places the pulse signals with the same phase in different periods, re-sorts them according to the period in which the signals are located and the initial phases of the signals, imports the re-sorted signals into an arbitrary signal generator, and sets a trigger sequence according to the time difference of each adjacent pulse signal, and imports them into a trigger signal output device as a trigger source of the arbitrary signal generator, and makes the first group of signals emitted have the same phase as the group of signals collected on-site through an industrial frequency phase controller, thereby emitting an ultra-high frequency simulation construction signal having a PRPD spectrum characteristic similar to that of the ultra-high frequency real partial discharge signal collected on-site.

[0079] S30: The PRPD spectrum of the UHF simulated constructed signal is consistent with the PRPD spectrum of the GIS UHF real partial discharge signal.

[0080] Specifically, the PRPD spectrum of the UHF simulated signal constructed by the test has the same amplitude and phase characteristics as the PRPD spectrum of the UHF real signal.

[0081] Specifically, an arbitrary signal generator is used as a signal output source, the constructed ultra-high frequency simulated constructed signal is imported into the arbitrary signal generator, the initial phase of the first pulse signal is controlled by an industrial frequency phase controller to be consistent with the initial phase of the real partial discharge signal detected on site, the trigger source signal is imported into the trigger signal output device, and output to the trigger port of the arbitrary signal generator; the signal output by the arbitrary signal generator is measured by an oscilloscope 300, and the output signal is exported to generate a PRPD spectrum of the simulated constructed signal.

[0082] Compare the PRPD spectrum of the UHF real signal with the PRPD spectrum of the simulated constructed signal to confirm that the PRPD spectrum of the simulated constructed signal meets the same amplitude and phase characteristics as the PRPD spectrum of the UHF real partial discharge signal collected on site.

[0083] Figure 3A and 3B The PRPD spectrum of a typical insulating UHF real signal and the PRPD spectrum of a simulated constructed signal are shown respectively. It can be seen that the two have roughly the same amplitude and phase characteristics.

[0084] S40: constructing a GIS ultra-high frequency partial discharge online monitoring system, and using the ultra-high frequency simulation signal to perform a pulse recognition rate test on the GIS ultra-high frequency partial discharge online monitoring device.

[0085] Specifically, the connection diagram of the GIS ultra-high frequency partial discharge online monitoring system 1000 is as follows: Figure 4 shown.

[0086] Connect the coaxial cable of the designated channel of the online monitoring device 400 to the output port of the arbitrary signal generator 200, and connect the output port of the power frequency phase controller 100 to the trigger port of the arbitrary signal generator; import the trigger source signal into the trigger signal output device 500, and output it to the trigger port of the arbitrary signal generator; control the arbitrary signal generator as a signal output source, and output the ultra-high frequency analog constructed signal in the form of a reconstructed pulse; use the power frequency phase controller 100 to control the initial phase of the first pulse signal to be consistent with the initial phase of the actual partial discharge signal detected on site, so as to further use the program to record the number of pulses Y displayed on the display interface of the online monitoring device. A partial display interface of an online monitoring device is shown in FIG. Figure 5 shown.

[0087] S50: Determine the pulse recognition rate of the GIS UHF partial discharge online monitoring device.

[0088] Specifically, the pulse recognition rate of the GIS ultra-high frequency partial discharge online monitoring equipment is tested by using ultra-high frequency simulated constructed signals in the form of reconstructed pulses containing different defects as injection signals.

[0089] Specifically, the program is used to record the number of pulses Y displayed on the display interface of the online monitoring device, and the pulse recognition rate ρ of the online monitoring device is calculated according to the following formula:

[0090] ρ=Y / 1000*100%;

[0091] The discharge pulse identification error δ is determined according to the following formula:

[0092] δ=|1-ρ|;

[0093] According to technical specifications, the discharge pulse recognition error of the online monitoring equipment should satisfy the following formula: δ<5%.

[0094] Specifically, by using simulated partial discharge signals containing different defects to test the pulse recognition rate of designated channels of the UHF partial discharge online monitoring equipment in turn, the equipment performance of the pulse recognition rate of the UHF partial discharge online monitoring equipment can be more comprehensively tested and inspected.

[0095] The present invention provides a pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment based on reconstruction of real partial discharge signals. The method is easy to implement on site, simple to operate, and highly practical, and can be widely used in the detection of the pulse recognition rate of ultra-high frequency partial discharge online monitoring equipment, which is equipment performance.

[0096] The pulse recognition rate test of a certain type of partial discharge online monitoring equipment was carried out using the above method. The real UHF signal collected on site was reconstructed and output through an arbitrary signal generator, and three types of pulse discharge signals, such as insulation discharge, suspension discharge, and tip discharge, were output respectively; each type of signal contained 100 pulses in each test, each of which was sent once, and the pulse recognition rate of the online monitoring equipment for the three types of discharges was recorded, which can more comprehensively test the performance of the pulse recognition rate of the UHF partial discharge online monitoring equipment.

[0097] In summary, the pulse recognition rate detection method for the GIS ultra-high frequency partial discharge online monitoring equipment provided by the present invention is used above, wherein an arbitrary signal generator outputs a simulated constructed signal, a trigger signal output device provides a trigger signal for the arbitrary signal generator, an industrial frequency phase controller controls the initial phase of the output signal, and the online monitoring equipment receives the constructed signal emitted by the arbitrary signal generator; the ultra-high frequency real partial discharge signal collected on-site is reconstructed into a simulated ultra-high frequency partial discharge signal, and an arbitrary signal generator is used to directly send several groups of simulated partial discharge signals containing different defects to the designated channel of the online monitoring equipment in sequence, and recording the pulse recognition rate displayed by the online monitoring equipment is simple to operate and has strong practicality.

[0098] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these adjustments and modifications of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these changes and modifications.

Claims

1. A pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment, characterized in that: include: Collect the real partial discharge signal of GIS UHF, eliminate its interference signal, and obtain the effective signal after eliminating the interference signal; Reconstruct the effective signal after eliminating the interference signal to obtain a UHF analog construction signal; The PRPD spectrum of the UHF simulated signal is consistent with the PRPD spectrum of the GIS UHF real partial discharge signal; A GIS ultra-high frequency partial discharge online monitoring system is constructed to use the ultra-high frequency simulation signal to perform a pulse recognition rate test on the GIS ultra-high frequency partial discharge online monitoring device; Determine the pulse recognition rate of GIS UHF partial discharge online monitoring equipment.

2. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 1 is characterized in that: The collecting of the GIS UHF real partial discharge signal, eliminating the interference signal thereof, and obtaining the effective signal after eliminating the interference signal comprises: A plurality of groups of GIS ultra-high frequency partial discharge signals of different defect types are collected on site, and their interference signals are eliminated respectively to obtain effective signals after eliminating the interference signals, wherein the effective signals include a plurality of pulses.

3. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 2 is characterized in that: The method of collecting multiple groups of GIS UHF partial discharge signals of different defect types at the GIS site includes: Arrange multiple built-in UHF sensors to detect internal discharge signals of GIS; Arrange at least one external space UHF sensor to detect discharge signals in the external space of GIS; Defect types include any of the following: tip defects, suspension defects, air gap defects, particle defects, and poor contact current type defects.

4. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 1 is characterized in that: The reconstructing the effective signal after eliminating the interference signal to obtain the ultra-high frequency analog construction signal includes: Generate an injection signal for an arbitrary signal generator; generating a trigger source signal for a trigger signal output device; The injection signal is introduced into an arbitrary signal generator, the trigger source is introduced into a trigger signal output device, the signal output port of the trigger signal output device is connected to the trigger port of the arbitrary signal generator, and the phase of the first group of signals emitted is made the same as the phase of the group of signals collected on site through an industrial frequency phase controller, so that the arbitrary signal generator outputs an ultra-high frequency simulated constructed signal having a PRPD spectrum characteristic similar to that of the ultra-high frequency real partial discharge signal collected on site.

5. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 4 is characterized in that: The generating of an injection signal for an arbitrary signal generator comprises: Extract the initial phase of each pulse-shaped UHF real partial discharge signal from the effective signal after eliminating interference, and arrange the initial phases corresponding to the UHF real partial discharge signal in order from small to large; Extracting the ultra-high frequency real partial discharge signal with an initial phase of 0-359° in cycles, wherein the same or different numbers of partial discharge signals are extracted in each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded; The partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle (such as having the same sequence number of the cycle) are sorted in sequence from small to large according to the initial phase to obtain the injection signal.

6. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 5 is characterized in that: The generating of a trigger source signal for a trigger signal output device comprises: According to the characteristic that each cycle time is 20ms, the time interval between each two adjacent points of any signal generator is calculated, and a trigger source signal is generated according to the time interval; the trigger source signal is used to be introduced into the trigger signal output device.

7. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 6 is characterized in that: The PRPD spectrum of the test UHF simulated signal is consistent with the PRPD spectrum of the GIS UHF real partial discharge signal, including: An arbitrary signal generator is used as a signal output source, the constructed ultra-high frequency simulation signal is introduced into the arbitrary signal generator, the initial phase of the first pulse signal is controlled by an industrial frequency phase controller to be consistent with the initial phase of the actual partial discharge signal detected on site, the trigger source signal is introduced into the trigger signal output device, and output to the trigger port of the arbitrary signal generator; The output signal of any signal generator is measured with an oscilloscope, and the output signal is exported to generate a PRPD spectrum of the simulated constructed signal.

8. The method according to claim 7, characterized in that The construction of the GIS ultra-high frequency partial discharge online monitoring system, using the ultra-high frequency simulation signal to perform pulse recognition rate inspection on the GIS ultra-high frequency partial discharge online monitoring device, includes: Connect the coaxial cable of the designated channel of the online monitoring device to the output port of any signal generator, and connect the output port of the power frequency phase controller to the trigger port of any signal generator; import the trigger source signal into the trigger signal output device, and output it to the trigger port of any signal generator; control the arbitrary signal generator as a signal output source, and output a reconstructed ultra-high frequency analog constructed signal in the form of a pulse; use the power frequency phase controller to control the initial phase of the first pulse signal to be consistent with the initial phase of the actual partial discharge signal detected on site, so as to further use the program to record the number of pulses displayed on the display interface of the online monitoring device.

9. The pulse recognition rate detection method for GIS ultra-high frequency partial discharge online monitoring equipment according to claim 1, characterized in that: Determining the pulse recognition rate of the GIS ultra-high frequency partial discharge online monitoring device includes: Use the program to record the number of pulses Y displayed on the display interface of the online monitoring device, and calculate the pulse recognition rate ρ of the online monitoring device according to the following formula: ρ=Y / 1000*100%; The discharge pulse identification error δ is determined according to the following formula: δ=|1-ρ|; Among them, the discharge pulse recognition error of the online monitoring equipment is no more than 5%.

10. The pulse recognition rate detection method of GIS ultra-high frequency partial discharge online monitoring equipment according to claim 3, characterized in that: The built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 30 MHz to 150 MHz.

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