GIS bus contact abnormal heating pre-warning method and device

Abstract

The invention provides a GIS bus contact abnormal heating pre-warning method and device, and the method comprises the steps: obtaining the gas flow rate data of a plurality of preset height positions above a GIS bus contact through a plurality of pairs of ultrasonic receiving and transmitting transducers, and enabling the ultrasonic signals transmitted by the plurality of pairs of ultrasonic receiving and transmitting transducers to be in a pulse type waveform, the features of the two continuous pulse waveforms are different; generating a contact temperature rise estimated value through a neural network algorithm based on the gas flow rate data of the plurality of preset height positions; and if the contact temperature rise estimation value exceeds a preset threshold value, generating an alarm signal. According to the invention, the temperature rise of the contact is reversely pushed by measuring the gas flow rate, and real-time online monitoring and abnormal early warning are realized.

Description

Technical Field

[0001] The present application relates to the field of GIS busbar contact monitoring, and in particular to a method and device for pre-alarming abnormal heating of GIS busbar contacts. Background Art

[0002] When the GIS busbar contacts are abnormally hot, Joule heat causes local temperature rise in the contacts, which can cause severe contact melting and damage, affecting the safe production of the power grid.

[0003] However, there is currently a lack of methods and measures to provide early warning of abnormal contact heating. Summary of the Invention

[0004] The purpose of this application is to overcome the defects in the above-mentioned prior art and provide a GIS busbar contact abnormal heating pre-alarm method and device.

[0005] The present application provides a GIS busbar contact abnormal heating pre-alarm method, comprising:

[0006] Acquiring gas flow velocity data at multiple preset height positions above the GIS busbar contact using multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the multiple pairs of ultrasonic transceiver transducers are pulse waveforms, and the characteristics of two consecutive pulse waveforms are different;

[0007] Based on the gas flow rate data at the plurality of preset height positions, generating a contact temperature rise estimation value through a neural network algorithm;

[0008] If the estimated value of the contact temperature rise exceeds a preset threshold, an alarm signal is generated.

[0009] Optionally, among the multiple pairs of ultrasonic transceiver transducers, at least one pair of the ultrasonic transceiver transducers is arranged directly above the GIS busbar contact.

[0010] Optionally, the number of the multiple pairs of ultrasonic transceiver transducers is 6 pairs;

[0011] Each pair of ultrasonic transceiver transducers is arranged to penetrate the outer wall of the GIS busbar cylinder, and the angle between the sound wave propagation path between each pair of ultrasonic transceiver transducers and the airflow direction of the busbar cylinder axis is 0° to 90°.

[0012] Optionally, the neural network algorithm includes:

[0013] According to the decreasing trend of the gas flow rate data with increasing altitude, an estimated value of the contact temperature rise is generated.

[0014] Optionally, the operating frequencies of the multiple pairs of ultrasonic transceiver transducers are 50 kHz to 10 MHz, and the frequency range avoids the frequency interval of electromagnetic waves inside the GIS.

[0015] The present application also provides a GIS busbar contact abnormal heating warning device, comprising:

[0016] a data module for acquiring gas flow velocity data at multiple preset height positions above the GIS busbar contact through multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the multiple pairs of ultrasonic transceiver transducers are pulse waveforms, and the characteristics of two consecutive pulse waveforms are different;

[0017] a calculation module, generating a contact temperature rise estimation value through a neural network algorithm based on the gas flow rate data at the plurality of preset height positions;

[0018] The alarm module generates an alarm signal if the estimated value of the contact temperature rise exceeds a preset threshold.

[0019] Optionally, among the multiple pairs of ultrasonic transceiver transducers, at least one pair of the ultrasonic transceiver transducers is arranged directly above the GIS busbar contact.

[0020] Optionally, the number of the multiple pairs of ultrasonic transceiver transducers is 6 pairs;

[0021] Each pair of ultrasonic transceiver transducers is arranged to penetrate the outer wall of the GIS busbar cylinder, and the angle between the sound wave propagation path between each pair of ultrasonic transceiver transducers and the airflow direction of the busbar cylinder axis is 0° to 90°.

[0022] Optionally, the neural network algorithm includes:

[0023] According to the decreasing trend of the gas flow rate data with increasing altitude, an estimated value of the contact temperature rise is generated.

[0024] Optionally, the operating frequencies of the multiple pairs of ultrasonic transceiver transducers are 50 kHz to 10 MHz, and the frequency range avoids the frequency interval of electromagnetic waves inside the GIS.

[0025] The beneficial effects of this application are:

[0026] This application provides a method for providing a warning of abnormal heating of GIS busbar contacts, comprising: obtaining gas flow velocity data at multiple preset heights above the GIS busbar contacts using multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the multiple pairs of ultrasonic transceiver transducers are pulsed waveforms, and the characteristics of two consecutive pulsed waveforms are different; generating an estimated contact temperature rise value based on the gas flow velocity data at the multiple preset heights using a neural network algorithm; and generating an alarm signal if the estimated contact temperature rise value exceeds a preset threshold. This application achieves real-time online monitoring and abnormality warning by inferring the contact temperature rise through measuring gas flow velocity. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1This is a schematic diagram of the principle of measuring gas flow rate using ultrasonic time difference method;

[0028] Figure 2 is the intended position of the ultrasonic transceiver transducer;

[0029] Figure 3 This is a schematic diagram of the principle of measuring gas flow velocity using the ultrasonic time difference method. DETAILED DESCRIPTION

[0030] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the accompanying drawings illustrate exemplary embodiments of the present disclosure, it should be understood that the present disclosure may be implemented in a variety of forms and should not be limited to the embodiments described herein. Rather, the embodiments are provided to facilitate a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0031] The present application provides a GIS busbar contact abnormal heating pre-alarm method, which is implemented based on a central processing unit and industrial software.

[0032] The central processing unit consists of two parts: the process control unit and the software human-computer interaction unit.

[0033] The process control unit is composed of a power conversion circuit, a signal preprocessing circuit, a sound control circuit, etc.

[0034] The central processing unit simultaneously amplifies, filters and reduces noise on the sound wave signals collected by the transducers; according to the established sound wave transmission and reception relationship between each pair of transducers, it controls all transducers to transmit ultrasonic signals in real time, and simultaneously collects and processes the sound wave signals sent by the transducers in real time and accurately.

[0035] To ensure accurate transit time measurements, the ultrasonic signal emitted here uses a pulsed waveform rather than a conventional sine waveform. The waveforms of two consecutive pulses are also distinct, allowing the contralateral transducer to accurately receive and identify them, thereby accurately measuring the transit time corresponding to each pulse. This method can reduce transit time measurement errors to the millisecond level. The same principle applies to transit time measurements of other ultrasonic beams. The process control unit is responsible for collecting all transit time data and uploading it to the software human-computer interface unit for subsequent data processing and calculations.

[0036] The main functions of the industrial software are flow rate display, temperature display, human-computer interaction and abnormal temperature rise warning, which can realize the display, storage and playback of flow rate monitoring results and corresponding temperature rise calculation results.

[0037] The system sets high temperature warning and alarm thresholds. Once the temperature at any monitored point exceeds the preset threshold, the warning or alarm mechanism will be triggered immediately to remind operation and maintenance personnel to pay timely attention and take corresponding measures.

[0038] In addition, the system can also predict temperature changes in the next 8 hours based on historical temperature change data in the same area, the same point or the same space. Once an abnormal warming trend is detected, an early warning message will be issued.

[0039] like Figure 1 As shown, a GIS busbar contact abnormal heating warning method includes:

[0040] S101, obtaining gas flow velocity data at multiple preset height positions above the GIS busbar contact using multiple pairs of ultrasonic transceiver transducers;

[0041] The ultrasonic signals transmitted by the multiple pairs of ultrasonic transceiver transducers are pulse waveforms, and the characteristics of two consecutive pulse waveforms are different;

[0042] The outer diameter of the GIS busbar cylinder is 400-600mm, the cylinder material is 6 series aluminum alloy, and the thickness is 7mm.

[0043] like Figure 2 As shown, an ultrasonic transmitting and receiving transducer (abbreviated as transmitting and receiving transducer) is arranged through the shell.

[0044] The transducer can both transmit and receive ultrasonic signals of a specific frequency. The preamplifier converts the acoustic signal into an electrical signal for transmission to the central processing unit. To reduce interference from strong electromagnetic fields, the transducer operates within a frequency range of 50kHz to 10MHz, avoiding the electromagnetic wave frequency range present within the GIS.

[0045] If the operating frequency of the transducer is close to or overlaps with the frequency of the electromagnetic waves inside the GIS, the signal emitted by the transducer may interfere with the electromagnetic waves inside the GIS, resulting in signal distortion, malfunction and other problems.

[0046] By avoiding the electromagnetic wave frequency range within the GIS, the transducer can more accurately detect the target signal, improving detection accuracy and reliability. At the same time, avoiding resonance between the transducer and the electromagnetic waves within the GIS can prevent damage to the equipment due to resonance and extend its service life.

[0047] The distance between each pair of transducers and the angle between the sound wave and the heat flow can be accurately measured and obtained in advance.

[0048] A pair of transducers can only generate two ultrasonic beams. Too few transducers can reduce the accuracy of gas flow rate monitoring results and lack the necessary comparison and verification methods, which may lead to misjudgment. The number of transducers used in this application is 6 pairs of 12, which can generate 12 ultrasonic signals. The corresponding sound velocity is calculated by the transit time of each ultrasonic signal, and the gas flow rate is then calculated through an algorithm. The flow rate information obtained by multiple pairs of transducers can be compared and verified with each other to ensure the accuracy of the final information and reduce the occurrence of errors and misjudgments.

[0049] S102, generating a contact temperature rise estimation value using a neural network algorithm based on the gas flow rate data at the plurality of preset height positions;

[0050] The transit time of each ultrasonic beam sent up is received in real time, and the flow rate of the gas is calculated in real time.

[0051] When GIS contacts overheat abnormally, heat is transferred to the surrounding area through convection within the sulfur hexafluoride gas. The density of the gas heated by the high temperature of the contacts decreases, and due to the thermal buoyancy effect, the hot gas flows continuously toward the top of the cavity. At this point, convection is strong and rapid directly above the contacts, while convection is weak or absent elsewhere, with almost no gas flow. In other words, when the contacts experience an abnormal temperature rise, the gas flow rate directly above the contacts is greater than that below them, whereas this does not occur when the contact temperature is normal. This characteristic can be used to infer the contact temperature rise by measuring the gas flow rate.

[0052] The propagation speed of ultrasound in gas is related to the gas temperature and flow rate. At the same temperature, if the propagation direction of ultrasound is consistent with the gas flow direction or the angle between them is acute, the propagation speed of ultrasound will increase under the superposition of flow rates, otherwise the propagation speed of ultrasound will decrease.

[0053] The details are as follows:

[0054] like Figure 3 As shown in the figure, two ultrasonic transceiver transducers are installed at different positions in the gas flow pipeline, and can transmit and receive ultrasonic signals with a speed of c to each other. When the gas flow rate in the pipeline is 0, the transit time tAB of the sound wave transmitted from A to B is the same as the transit time tBA of the sound wave transmitted from B to A.

[0055] When the gas in the pipe flows at a speed v in the direction shown in the figure, vAB will increase to:

[0056] v AB =c+v·cosθ=L / t AB

[0057] v BA will be reduced to:

[0058] vBA =cv·cosθ=L / t BA

[0059] Where θ is the angle between the airflow direction and L is the distance between a pair of transducers, both of which are known quantities; t AB With t BA It can be obtained through measurement and is also a known quantity.

[0060] By solving the above quadratic equations, we can obtain the gas velocity v and the sound wave velocity c respectively. Finally, we can measure t AB With t BA Time to obtain gas flow rate and direction.

[0061] By deploying six pairs of transducers, gas flow velocity data was acquired at six different locations and directions. A neural network algorithm was then used to couple these velocity data and calculate the functional relationship between flow velocity and temperature rise.

[0062] The neural network model includes: an input layer, a hidden layer and an output layer.

[0063] Input layer: receives real-time flow velocity data from 6 pairs of transducers.

[0064] Hidden layer: A two-layer long short-term memory network is used to capture the spatiotemporal variation characteristics of flow velocity.

[0065] Output layer: The regression layer outputs the estimated value of contact temperature rise.

[0066] The training data includes: the corresponding flow velocity distribution recorded by heating the contact to different temperatures, and the flow velocity-temperature correspondence under normal and fault conditions.

[0067] The temperature rise measured by the infrared thermometer is compared with the output of the neural network, and the error is controlled within the preset threshold.

[0068] The gas flow velocity distribution law is analyzed using the decreasing trend of flow velocity, and the contact temperature rise is calculated using this model to further confirm whether the contact is heating up.

[0069] If the flow rate exceeds the preset threshold, indicating a possible abnormal increase in contact temperature, the system triggers an early warning mechanism. If the flow rate further exceeds the warning limit, the software activates audible and visual alarms, ensuring that maintenance personnel can quickly detect and take action.

[0070] S103: If the estimated value of the contact temperature rise exceeds a preset threshold, generate an alarm signal.

[0071] The GIS busbar contact abnormal heating warning process, the entire system is fully automatic, real-time online monitoring and display, without the need for manual sampling or calculation.

[0072] The present application also provides a GIS busbar contact abnormal heating warning device, comprising:

[0073] a data module for acquiring gas flow velocity data at multiple preset height positions above the GIS busbar contact through multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the multiple pairs of ultrasonic transceiver transducers are pulse waveforms, and the characteristics of two consecutive pulse waveforms are different;

[0074] a calculation module, generating a contact temperature rise estimation value through a neural network algorithm based on the gas flow rate data at the plurality of preset height positions;

[0075] The alarm module generates an alarm signal if the estimated value of the contact temperature rise exceeds a preset threshold.

[0076] Optionally, among the multiple pairs of ultrasonic transceiver transducers, at least one pair of the ultrasonic transceiver transducers is arranged directly above the GIS busbar contact.

[0077] Optionally, the number of the multiple pairs of ultrasonic transceiver transducers is 6 pairs;

[0078] Each pair of ultrasonic transceiver transducers is arranged to penetrate the outer wall of the GIS busbar cylinder, and the angle between the sound wave propagation path between each pair of ultrasonic transceiver transducers and the airflow direction of the busbar cylinder axis is 0° to 90°.

[0079] Optionally, the neural network algorithm includes:

[0080] According to the decreasing trend of the gas flow rate data with increasing altitude, an estimated value of the contact temperature rise is generated.

[0081] Optionally, the operating frequencies of the multiple pairs of ultrasonic transceiver transducers are 50 kHz to 10 MHz, and the frequency range avoids the frequency interval of electromagnetic waves inside the GIS.

[0082] The above description of the embodiments is intended to facilitate understanding and application of the present invention by those skilled in the art. It will be readily apparent to those skilled in the art that various modifications to the above embodiments can be made, and the general principles described herein can be applied to other embodiments without requiring inventive effort. Therefore, the present invention is not limited to the above embodiments, and improvements and modifications made by those skilled in the art based on the present disclosure are intended to fall within the scope of protection of the present invention.

Claims

1. A GIS busbar contact abnormal heating warning method, characterized in that: include: Acquiring gas flow velocity data at multiple preset height positions above the GIS busbar contact using multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the ultrasonic transceiver transducers are pulsed waveforms, and the characteristics of two consecutive pulsed waveforms are different; Based on the gas flow rate data at the plurality of preset height positions, generating a contact temperature rise estimation value through a neural network algorithm; If the estimated value of the contact temperature rise exceeds a preset threshold, an alarm signal is generated.

2. A GIS busbar contact abnormal heating pre-alarm method according to claim 1, characterized in that: Among the multiple pairs of ultrasonic transceiver transducers, at least one pair of the ultrasonic transceiver transducers is arranged directly above the GIS busbar contact.

3. A GIS busbar contact abnormal heating pre-alarm method according to claim 1, characterized in that: The number of the ultrasonic transceiver transducers is 6 pairs; Each pair of ultrasonic transceiver transducers is arranged to penetrate the outer wall of the GIS busbar cylinder, and the angle between the sound wave propagation path between each pair of ultrasonic transceiver transducers and the airflow direction of the busbar cylinder axis is 0° to 90°.

4. A GIS busbar contact abnormal heating pre-alarm method according to claim 1, characterized in that: The neural network algorithm includes: According to the decreasing trend of the gas flow rate data with increasing altitude, an estimated value of the contact temperature rise is generated.

5. The GIS busbar contact abnormal heating pre-alarm method according to claim 1 is characterized in that: The operating frequency of the ultrasonic transceiver is 50 kHz to 10 MHz, and the frequency range avoids the frequency range of electromagnetic waves inside the GIS.

6. A GIS busbar contact abnormal heating warning device, characterized in that: include: a data module for acquiring gas flow velocity data at multiple preset height positions above the GIS busbar contact through multiple pairs of ultrasonic transceiver transducers, wherein the ultrasonic signals emitted by the multiple pairs of ultrasonic transceiver transducers are pulse waveforms, and the characteristics of two consecutive pulse waveforms are different; a calculation module, generating a contact temperature rise estimation value through a neural network algorithm based on the gas flow rate data at the plurality of preset height positions; The alarm module generates an alarm signal if the estimated value of the contact temperature rise exceeds a preset threshold.

7. The GIS busbar contact abnormal heating warning device according to claim 6 is characterized in that: Among the multiple pairs of ultrasonic transceiver transducers, at least one pair of the ultrasonic transceiver transducers is arranged directly above the GIS busbar contact.

8. The GIS busbar contact abnormal heating warning device according to claim 6 is characterized in that: The number of the multiple pairs of ultrasonic transceiver transducers is 6 pairs; Each pair of ultrasonic transceiver transducers is arranged to penetrate the outer wall of the GIS busbar cylinder, and the angle between the sound wave propagation path between each pair of ultrasonic transceiver transducers and the airflow direction of the busbar cylinder axis is 0° to 90°.

9. The GIS busbar contact abnormal heating warning device according to claim 6 is characterized in that: The neural network algorithm includes: According to the decreasing trend of the gas flow rate data with increasing altitude, an estimated value of the contact temperature rise is generated.

10. The GIS busbar contact abnormal heating warning device according to claim 6, characterized in that: The operating frequencies of the multiple pairs of ultrasonic transceiver transducers are 50 kHz to 10 MHz, and the frequency range avoids the frequency range of electromagnetic waves inside the GIS.

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