Method and system for monitoring state of GIS equipment based on multi-parameter analysis

Abstract

The embodiment of the invention provides a method and system for monitoring the state of GIS equipment based on multi-parameter analysis, and belongs to the technical field of GIS opening and closing monitoring. The method comprises the following steps: acquiring historical data of GIS equipment in each state; constructing a GIS equipment state prediction model; according to the method, the historical data of the GIS equipment in the opening and closing state is acquired and is adopted to train the GIS equipment state prediction model, so that the model for predicting the opening and closing state of the GIS equipment can be obtained; specifically, real-time data of the current GIS equipment is obtained and input into a trained GIS equipment state prediction model, and then the opening and closing states of a disconnecting link and a grounding knife in the current GIS equipment can be predicted. By adopting the method for predicting the opening and closing states in the GIS equipment, the GIS equipment does not need to be improved, so that the prediction is more convenient; prediction can be carried out according to real-time data, and the timeliness and efficiency of prediction are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of GIS opening and closing monitoring, and in particular to a method and system for monitoring the status of GIS equipment based on multi-parameter analysis of field information. Background Art

[0002] At present, GIS (Gas Insulated Switchgear) combination electrical appliances are widely used in UHV AC stations due to their compact structure, small footprint, high operating reliability, no influence from the external environment, and convenient maintenance. However, compared with traditional open equipment, GIS is not intuitive and cannot be directly observed to determine whether the GIS knife switch contacts are in place. Once the contacts are not in place, accidents will occur. In addition, when an accident occurs in the combination electrical appliance, it is difficult to handle, the power supply is slow to restore, and the cost of accident handling is high, which brings hidden dangers to the use of combination electrical appliances.

[0003] In the prior art, there are two main methods for diagnosing the position of the switch in GIS: one is to install a video or distance measuring device inside the GIS equipment to confirm the opening and closing status, but this method requires changing the equipment structure and has certain operational risks; the other is to confirm the opening and closing position through X-ray detection. The result is accurate, but it takes a long time, which seriously affects the progress of knife switch operation.

[0004] The inventors of the present application discovered during the process of realizing the present invention that the above-mentioned solution of the prior art has the defects of great difficulty in diagnosing the opening and closing positions and low operating efficiency. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method and system for monitoring the status of GIS equipment based on multi-parameter analysis. The method and system for monitoring the status of GIS equipment based on multi-parameter analysis have the functions of low difficulty in diagnosis of opening and closing of the switch and high operating efficiency.

[0006] In order to achieve the above object, an embodiment of the present invention provides a method for monitoring the status of GIS equipment based on multi-parameter analysis, comprising:

[0007] Obtain historical data of GIS equipment in various states;

[0008] Construct a GIS equipment status prediction model;

[0009] Using historical data of the GIS device in various states to train the GIS device state prediction model;

[0010] Obtaining real-time data of the current GIS device;

[0011] The real-time data is input into the GIS equipment status prediction model to obtain the current operating status of the GIS equipment.

[0012] Optionally, obtaining historical data of the GIS device in various states includes:

[0013] Obtaining the opening and closing status of the knife switch and the ground knife in the GIS equipment and the coupling capacitor current;

[0014] A vibration signal of the GIS device is obtained.

[0015] Optionally, the various states include opening and closing.

[0016] Optionally, using the historical data of the GIS device in various states to train the GIS device state prediction model includes:

[0017] Preprocessing the historical data;

[0018] Divide the preprocessed data into training set and validation set;

[0019] Using a training set to train the GIS equipment status prediction model;

[0020] The validation set is used to perform model validation on the GIS equipment status prediction model.

[0021] Optionally, preprocessing the historical data includes:

[0022] According to formula (1), the coupling capacitance current change rate of the knife switch or ground knife in the GIS equipment is obtained:

[0023] ΔI di =(I di·t1 -I di·t2 ) / I di·t1 , (1)

[0024] Among them, ΔI di is the coupling capacitance current change rate of the switch or ground switch in the GIS equipment, i = 1, 2, when i = 1, ΔI di is the coupling capacitance current change rate of the switch in the GIS device. When i=2, ΔI di is the coupling capacitance current change rate of the grounding knife in the GIS equipment, I di·t1 is the coupling capacitance current value of the knife switch or ground switch in the GIS equipment at time t1, I di·t2 is the coupling capacitance current value of the knife switch or earth switch in the GIS device at time t2, t1 is the time before the opening and closing action of the knife switch or earth switch in the GIS device, and t2 is the time after the opening and closing action of the knife switch or earth switch in the GIS device;

[0025] Obtaining the coupling capacitor current change rate in different time periods when the knife switch or ground switch in the GIS device is opened or closed;

[0026] According to formula (2), the effective value of the coupling capacitor current change rate of the knife switch or ground switch in the GIS device in the open or closed state is obtained:

[0027]

[0028] in, is the effective value of the coupling capacitor current change rate when the knife switch or ground switch in the GIS device is in the open or closed state, n is the number of time periods for collecting the coupling capacitor current when the knife switch or ground switch in the GIS device is in the open or closed state, ΔI di·j It is the coupling capacitance current change rate of the knife switch or earth switch in the GIS equipment in the jth time period when the knife switch or earth switch is opened or closed, and j is an integer number.

[0029] Optionally, preprocessing the historical data further includes:

[0030] Obtaining the output voltage average of the vibration sensor on the GIS device when the knife switch or the ground switch is in the open or closed state;

[0031] According to formula (3), the effective value of the vibration signal of the GIS equipment is obtained:

[0032]

[0033] Wherein, V0 is the effective value of the vibration signal of the GIS equipment, It is the average output voltage of the vibration sensor on the GIS device when the knife switch or the ground switch is in the open or closed state respectively, and U0 is the voltage diagnosis threshold of the vibration sensor on the GIS device.

[0034] Optionally, preprocessing the historical data further includes:

[0035] According to formula (4), the effective transformation value of the knife switch or ground switch in the GIS device in the open or closed state is obtained.

[0036]

[0037] Among them, T i is the effective transformation value of the knife switch or earth switch in the GIS device in the open or closed state respectively;

[0038] The effective transformation value and the opening and closing status of the knife switch or the ground switch in the GIS device are used as a data set.

[0039] Optionally, the real-time data of the GIS device includes: the coupling capacitor current of the knife switch and the ground knife in the GIS device and the output voltage of the vibration sensor on the GIS device.

[0040] On the other hand, the present invention also provides a system for monitoring the status of GIS equipment based on multi-parameter analysis, comprising:

[0041] GIS equipment, wherein the GIS equipment is provided with a vibration sensor;

[0042] A current detector is arranged on the circuit of the knife switch and the earth knife in the GIS equipment, and is used to monitor the coupling capacitor current of the knife switch and the earth knife in real time;

[0043] A background server is connected to the vibration sensor and the current detector, and is used to execute any of the above methods.

[0044] Through the above technical scheme, the method and system for monitoring the status of GIS equipment based on multi-parameter analysis provided by the present invention obtains historical data of GIS equipment in the open and closed states, and uses it to train the GIS equipment status prediction model, so as to obtain a model for predicting the open and closed states of GIS equipment; specifically, the real-time data of the current GIS equipment is obtained, and it is input into the trained GIS equipment status prediction model, so as to predict the open and closed states of the knife switch and the earth switch in the current GIS equipment; by adopting this method of predicting the open and closed states in the GIS equipment, on the one hand, there is no need to improve the GIS equipment itself, and the prediction is more convenient; on the other hand, it can make predictions based on real-time data, which effectively improves the timeliness and efficiency of the prediction.

[0045] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0047] Figure 1 is a flow chart of a method for monitoring GIS equipment status based on multi-parameter analysis according to one embodiment of the present invention;

[0048] Figure 2 It is a flowchart of training a GIS equipment status prediction model in a method for monitoring GIS equipment status based on multi-parameter analysis according to one embodiment of the present invention;

[0049] Figure 3It is a flowchart of preprocessing historical data in a method for monitoring GIS equipment status based on multi-parameter analysis according to one embodiment of the present invention;

[0050] Figure 4 It is a diagram of the switch fracture structure in a method for monitoring the status of GIS equipment based on multi-parameter analysis according to an embodiment of the present invention;

[0051] Figure 5 The invention discloses a capacitance and current model of knife switches and ground switches in a method for monitoring the status of GIS equipment based on multi-parameter analysis according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0053] Figure 1 FIG. 1 is a flow chart of a method for monitoring GIS equipment status based on multi-parameter analysis according to an embodiment of the present invention. Figure 1 In, the method may include:

[0054] In step S10, historical data of the GIS device in various states are obtained. Among them, each state refers to the open or closed state of the knife switch and the ground knife in the GIS device. A more detailed division may include hot standby state, cold standby state and maintenance state. Specifically, when the line is in a power outage maintenance state, the knife switch is in an open state, and the ground knife is in a closed state. At this time, the ground knife can be opened to turn the line into a cold standby state. Next, close the knife switch again, and the line will turn into a hot standby state. On the contrary, when the line changes from an operating state to a power outage state, the knife switch will be closed and the ground knife will be opened, so that the line is in a hot standby state. Then, the knife switch can be opened to turn the line into a cold standby state. Finally, close the ground knife again to put the line in a maintenance state. The historical data may include the opening and closing states of the knife switch and the ground knife in the GIS device, the coupling capacitor current, and the vibration signal of the GIS device. Specifically, there are adjacent live lines in high-voltage line stations, line corridors, and opposite-side plants. The live lines carry a certain voltage, forming a strong electric field around them. The adjacent parallel lines are in this strong electric field, which will generate an induced voltage and generate an electric coupling capacitor current through the grounding plate when the grounding knife is in the closed state, while there is no line coupling capacitor current in the grounding plate when the grounding knife is in the open state.

[0055] In step S11, a GIS equipment state prediction model is constructed. The GIS equipment state prediction model may include a neural network model known to those skilled in the art, such as CNN, particle swarm algorithm, etc. Specifically, the neural network model may include an input layer, a convolution layer, a pooling layer, a fully connected layer, and an output layer, etc.

[0056] In step S12, the historical data of the GIS device in various states are used to train the GIS device state prediction model.

[0057] In step S13, the real-time data of the current GIS equipment is obtained, wherein the real-time data may include the coupling capacitor current of the knife switch and the ground knife in the GIS equipment and the output voltage of the vibration sensor on the GIS equipment.

[0058] In step S14, the real-time data is input into the GIS equipment state prediction model to obtain the current operating state of the GIS equipment. The coupling capacitor current of the knife switch and the ground knife in the GIS equipment and the output voltage of the vibration sensor on the GIS equipment are input into the GIS equipment state prediction model to obtain the current opening and closing state of the GIS equipment. Specifically, it can be determined whether the opening and closing operation of the knife switch or the ground knife in the GIS equipment is in place, thereby effectively improving the safety and reliability of the GIS equipment operation.

[0059] In step S10 to step S14, the historical data of the GIS equipment in various states are first obtained, and then the GIS equipment state prediction model is constructed, and the GIS equipment state prediction model is trained using the historical data. Then the real-time data of the current GIS equipment is obtained, and the real-time data is input into the trained GIS equipment state prediction model to determine the current opening and closing state of the GIS equipment and the completion of the opening and closing operation, so as to improve the safety and reliability of the GIS equipment operation.

[0060] There are two main ways to diagnose the position of the switch in the traditional GIS: one is to install a video or distance measuring device inside the GIS equipment to confirm the state of the switch, but this method requires changing the equipment structure and has certain operational risks; the other is to confirm the position of the switch through X-ray detection, the result is accurate, but it takes a long time, which seriously affects the progress of the knife switch operation. In this embodiment of the present invention, the method of training the GIS equipment status prediction model is adopted. On the one hand, there is no need to improve the GIS equipment itself, and the prediction is more convenient; on the other hand, it can be predicted based on real-time data, which effectively improves the timeliness and efficiency of the prediction.

[0061] In this embodiment of the invention, Figure 4As shown in the figure, the voltage-equalizing covers on both sides of the knife switch break can be regarded as the two plates of the capacitor. This structure makes the break equivalent to a fixed capacitor. When the knife switch is in different positions, one end of the break will be connected to the high voltage, and the other end will be grounded. Therefore, coupling capacitance current will inevitably be generated through the break and flow into the ground grid through the grounding plate of the grounding knife.

[0062] In the actual on-site switching operation, the capacitance current of the knife switch and the ground knife exists in three situations. The equivalent circuit diagram can be as follows: Figure 5 As shown in a, b, and c.

[0063] The first is to connect the knife switch break in series with the ground knife break, such as Figure 5 As shown in a, the corresponding coupling capacitor current is calculated as shown in formula (6):

[0064]

[0065] Among them, I c is the coupling capacitor current, j is the imaginary unit, f is the system voltage frequency, C g is the knife switch capacitance, C j is the grounding knife break capacitance, and U is the rated phase voltage of the system.

[0066] The second is that the knife switch is in the open state and the ground switch is in the closed state, such as Figure 5 As shown in b, the corresponding coupling capacitor current is calculated as shown in formula (7):

[0067] I c =j2πfC g U, (7)

[0068] The third type is that the ground switch is in the disconnected state and the knife switch is in the closed state, such as Figure 5 As shown in c, the corresponding coupling capacitor current is calculated as shown in formula (8),

[0069] I c =j2πfC j U, (8)

[0070] In GIS equipment, the knife switch and the earth switch are pure capacitive structures, and their fractures will not generate resistive current, so we can regard the total leakage current as the coupling capacitor current. By detecting the characteristic changes of the coupling capacitor current of the knife switch and the earth switch during the switching operation, we can accurately judge the opening and closing conditions of the knife switch and the earth switch.

[0071] When the knife switch and the grounding knife are opened and closed, the coupling capacitor current will change significantly due to the existence of voltage. On the contrary, when the knife switch and the grounding knife are closed, the circuit is fully connected and the coupling capacitor current approaches zero. Therefore, by monitoring the change law of the coupling capacitor current, we can accurately judge the opening and closing of the knife switch and the grounding knife, and make corresponding processing and decisions in time.

[0072] In this embodiment of the present invention, after obtaining the historical data of the knife switch and the ground switch in the GIS device in different states such as open and closed, the GIS device state prediction model can be trained. The specific training steps can be as follows: Figure 2 Specifically, Figure 2 As shown, the method may also include:

[0073] In step S120, the historical data is preprocessed. The preprocessing of the historical data may include, in addition to the denoising and interpolation methods known to those skilled in the art, preliminary feature extraction and fusion of multiple parameters. The specific steps may be as follows: Figure 3 Specifically, Figure 3 In, the method may also include:

[0074] In step S1200, the coupling capacitance current change rate of the switch or ground switch in the GIS device is obtained according to formula (1):

[0075] ΔI di =(I di·t1 -I di·t2 ) / I di·t1 , (1)

[0076] Among them, ΔI di is the current change rate of the coupling capacitance of the switch or ground switch in the GIS equipment, i = 1, 2, when i = 1, ΔI di is the coupling capacitance current change rate of the switch in the GIS equipment. When i=2, ΔI di is the current change rate of the coupling capacitance of the grounding knife in the GIS equipment, I di·t1 is the coupling capacitance current value of the knife switch or ground switch in the GIS equipment at time t1, I di·t2 is the coupling capacitance current value of the knife switch or earth switch in the GIS device at time t2, t1 is the moment before the opening and closing action of the knife switch or earth switch in the GIS device, and t2 is the moment after the opening and closing action of the knife switch or earth switch in the GIS device. Specifically, t1 and t2 can be preset moments, that is, a moment before the opening and closing action and a moment after the opening and closing action. The value of the coupling capacitance change rate can be positive or negative, that is, corresponding to the opening and closing states respectively. In addition, in order to avoid the coupling capacitance of the knife switch or earth switch being 0 before the GIS device is closed, the calculation of the coupling capacitance current change rate can also include the calculation shown in formula (5),

[0077] ΔI di =(I di·t1 -I di·t2 ) / (I di·t1 +δ), (5)

[0078] Wherein, δ is a variation correction value, and the specific value of the variation correction value can be determined according to the peak value of the coupling capacitor current. Specifically, the variation correction value δ = [0.5I di·max , I di·max ], so that the value of the coupling capacitor current change rate is between (0, 1), which helps to speed up the subsequent model convergence speed, I di·max is the peak value of the coupling capacitor current.

[0079] In step S1201, the coupling capacitor current change rate of the switch or ground switch in the GIS device in different time periods when the switch is opened or closed is obtained. The different time periods refer to the selection of the time before and after the opening and closing of the switch and the length of the time period. However, no matter how the time period is selected, the start time and end time of the time period should be before the start and after the end of the opening and closing of the switch.

[0080] In step S1202, the effective value of the coupling capacitor current change rate when the knife switch or ground switch in the GIS device is in the open or closed state is obtained according to formula (2):

[0081]

[0082] in, is the effective value of the coupling capacitor current change rate when the knife switch or earth switch in the GIS equipment is in the open or closed state, n is the number of time periods for collecting the coupling capacitor current when the knife switch or earth switch in the GIS equipment is in the open or closed state, ΔI di·j is the coupling capacitor current change rate in the jth time period when the knife switch or ground switch in the GIS equipment is opened or closed, and j is an integer number. Specifically, the method of calculating the effective value of the coupling capacitor current change rate by the mean value can effectively reduce the error of the coupling capacitor current change rate, thereby improving the accuracy of subsequent model training.

[0083] In step S1203, the output voltage average of the vibration sensor on the GIS equipment when the knife switch or ground knife is in the open or closed state is obtained. The vibration sensor may include an acceleration-type vibration sensor. Specifically, the acceleration sensor utilizes the characteristic of crystal deformation caused by acceleration inside the sensor. Since this deformation will generate voltage, as long as the relationship between the generated voltage and the applied acceleration is calculated, the acceleration can be converted into a voltage output, thereby reflecting the vibration information. The output voltage average is the voltage average detected by the vibration sensor from the beginning of vibration to the end of vibration.

[0084] In step S1204, the effective value of the vibration signal of the GIS equipment is obtained according to formula (3):

[0085]

[0086] Among them, V0 is the effective value of the vibration signal of the GIS equipment, is the average output voltage of the vibration sensor on the GIS equipment when the knife switch or ground switch is in the open or closed state, and U0 is the voltage diagnosis threshold of the vibration sensor on the GIS equipment. Specifically, the binary classification of vibration signals can convert continuous signals into discrete values, eliminate the dimension, and facilitate subsequent model training.

[0087] In step S1205, the effective transformation value of the knife switch or ground switch in the GIS device in the open or closed state is obtained according to formula (4).

[0088]

[0089] Among them, T i It is the effective transformation value of the knife switch or ground switch in the GIS equipment in the open or closed state. Specifically, the effective transformation value is the preliminary feature fusion of the effective value of the coupling capacitor current change rate and the effective value of the vibration signal. Of course, the data set can also be formed according to the effective value of the coupling capacitor current change rate and the effective value of the vibration signal for training. Here, the preliminary features of the two are fused into an effective transformation value. On the one hand, it does not require a large amount of data and can be used for training in scenarios with less data. On the other hand, it can also improve the convergence speed of subsequent model training.

[0090] In step S1206, the effective transformation value and the on / off state of the knife switch or earth switch in the GIS device are used as a data set. The label of the on / off state of the knife switch or earth switch in the GIS device is obtained, and it is combined with the corresponding effective change value to form a data set.

[0091] In step S1200 to step S1206, by obtaining the coupling capacitor current change rate of the knife switch or ground switch in the GIS device during the opening or closing process, and obtaining the effective value of the coupling capacitor current change rate of the knife switch or ground switch in the GIS device during the opening or closing process, the characteristics of the coupling capacitor current can be extracted. At the same time, according to the vibration signal in the opening and closing process of the GIS device, the corresponding effective value of the vibration signal is obtained, and the characteristics of the vibration signal can be extracted. Finally, the effective value of the coupling capacitor current and the effective value of the vibration signal are preliminarily fused to effectively improve the convergence speed of subsequent model training.

[0092] In step S121, the preprocessed data is divided into a training set and a validation set. The preprocessed data can also be divided into a training set, a validation set and a test set, which can be divided according to the actual model training situation. Each data set includes the corresponding

[0093] In step S122, the GIS equipment status prediction model is trained using the training set.

[0094] In step S123, the GIS equipment status prediction model is verified using a verification set.

[0095] In step S120 to step S123, the historical data is preprocessed first, and then the preprocessed data is divided into a training set and a validation set. The training set can be used to train the GIS equipment state prediction model, and the validation set can be used to adjust the hyperparameters of the GIS equipment state prediction model and avoid overfitting.

[0096] On the other hand, the present invention also provides a system for monitoring the status of GIS equipment based on multi-parameter analysis. Specifically, the system may include GIS equipment, a current detector and a background server. Specifically, the current detector may include a Hall current sensor, the GIS equipment may include a vibration sensor, and the vibration sensor may include an acceleration vibration sensor.

[0097] The GIS equipment is provided with a vibration sensor, and the current detector is provided on the circuit of the knife switch and the ground knife in the GIS equipment, for real-time monitoring of the coupling capacitor current of the knife switch and the ground knife. The background server is connected with the vibration sensor and the current detector to execute the above method.

[0098] The system for collecting coupling capacitor current and vibration signals of the present invention comprises a data collection and processing unit, a LoRa wireless communication network and a monitoring center computer system. Specifically, the LoRa wireless communication network transmits the data collected and processed by the data collection unit or transmits the control command of the computer to the data collection and processing unit through the LoRa wireless network.

[0099] Through the above technical scheme, the method and system for monitoring the status of GIS equipment based on multi-parameter analysis provided by the present invention obtains historical data of GIS equipment in the open and closed states, and uses it to train the GIS equipment status prediction model, so as to obtain a model for predicting the open and closed states of GIS equipment; specifically, the real-time data of the current GIS equipment is obtained, and it is input into the trained GIS equipment status prediction model, so as to predict the open and closed states of the knife switch and the earth switch in the current GIS equipment; by adopting this method of predicting the open and closed states in the GIS equipment, on the one hand, there is no need to improve the GIS equipment itself, and the prediction is more convenient; on the other hand, it can make predictions based on real-time data, which effectively improves the timeliness and efficiency of the prediction.

[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0106] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0107] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0108] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for monitoring GIS equipment status based on multi-parameter analysis, characterized in that: include: Obtain historical data of GIS equipment in various states; Construct a GIS equipment status prediction model; Using historical data of the GIS device in various states to train the GIS device state prediction model; Obtaining real-time data of the current GIS device; The real-time data is input into the GIS equipment status prediction model to obtain the current operating status of the GIS equipment.

2. The method according to claim 1, characterized in that Obtaining historical data of GIS equipment in various states includes: Obtaining the opening and closing status of the knife switch and the ground knife in the GIS equipment and the coupling capacitor current; A vibration signal of the GIS device is obtained.

3. The method according to claim 2, characterized in that The various states include opening and closing.

4. The method according to claim 3, characterized in that Using the historical data of the GIS device in various states to train the GIS device state prediction model includes: Preprocessing the historical data; Divide the preprocessed data into training set and validation set; Using a training set to train the GIS equipment status prediction model; The validation set is used to perform model validation on the GIS equipment status prediction model.

5. The method according to claim 4, characterized in that Preprocessing the historical data includes: According to formula (1), the coupling capacitance current change rate of the knife switch or ground knife in the GIS equipment is obtained: ΔI di =(I di·t1 -I di·t2 ) / I di·t1 , (1) Among them, ΔI di is the current change rate of the coupling capacitance of the switch or ground switch in the GIS equipment, i = 1, 2, when i = 1, ΔI di is the coupling capacitance current change rate of the switch in the GIS device. When i=2, ΔI di is the coupling capacitance current change rate of the grounding knife in the GIS equipment, I di·t1 is the coupling capacitance current value of the knife switch or ground switch in the GIS equipment at time t1, I di·t2 is the coupling capacitance current value of the knife switch or earth switch in the GIS device at time t2, t1 is the time before the opening and closing action of the knife switch or earth switch in the GIS device, and t2 is the time after the opening and closing action of the knife switch or earth switch in the GIS device; Obtaining the coupling capacitor current change rate in different time periods when the knife switch or ground switch in the GIS device is opened or closed; According to formula (2), the effective value of the coupling capacitor current change rate of the knife switch or ground switch in the GIS device in the open or closed state is obtained: in, is the effective value of the coupling capacitor current change rate when the knife switch or ground switch in the GIS device is in the open or closed state, n is the number of time periods for collecting the coupling capacitor current when the knife switch or ground switch in the GIS device is in the open or closed state, ΔI di·j It is the coupling capacitance current change rate of the knife switch or earth switch in the GIS equipment in the jth time period when the knife switch or earth switch is opened or closed, and j is an integer number.

6. The method according to claim 5, characterized in that Preprocessing the historical data further includes: Obtaining the average output voltage of the vibration sensor on the GIS device when the knife switch or the ground switch is in the open or closed state; According to formula (3), the effective value of the vibration signal of the GIS equipment is obtained: Wherein, V0 is the effective value of the vibration signal of the GIS equipment, It is the average output voltage of the vibration sensor on the GIS device when the knife switch or the ground switch is in the open or closed state respectively, and U0 is the voltage diagnosis threshold of the vibration sensor on the GIS device.

7. The method according to claim 6, characterized in that Preprocessing the historical data further includes: According to formula (4), the effective transformation value of the knife switch or ground switch in the GIS device in the open or closed state is obtained. Among them, T i is the effective transformation value of the knife switch or earth switch in the GIS device in the open or closed state respectively; The effective transformation value and the opening and closing status of the knife switch or the ground switch in the GIS device are used as a data set.

8. The method according to claim 6, characterized in that The real-time data of the GIS equipment includes: the coupling capacitor current of the knife switch and the ground knife in the GIS equipment and the output voltage of the vibration sensor on the GIS equipment.

9. A system for monitoring GIS equipment status based on multi-parameter analysis, characterized in that: include: GIS equipment, wherein the GIS equipment is provided with a vibration sensor; A current detector is arranged on the circuit of the knife switch and the earth knife in the GIS equipment, and is used to monitor the coupling capacitor current of the knife switch and the earth knife in real time; A background server is connected to the vibration sensor and the current detector, and is used to execute the method according to any one of claims 1 to 8.

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