Vibration monitoring method, system and equipment for porcelain bushing equipment of transformer substation

Abstract

The embodiment of the invention discloses a vibration monitoring method, system and equipment for porcelain bushing equipment of a transformer substation, the vibration condition of the equipment in a three-dimensional space can be accurately captured by collecting three-axis acceleration data of the equipment, then the vibration condition is converted into displacement information, whether the equipment vibrates or not is judged according to the displacement information, vibration characteristics do not need to be collected, and the vibration monitoring efficiency is improved. Therefore, the vibration judgment process is simplified, and the system implementation difficulty is reduced.

Description

[Technical field]

[0001] The present invention relates to the technical field of vibration monitoring of electric power equipment, and in particular to a vibration monitoring method, system and equipment for porcelain bushing equipment of a transformer substation. [Background technology]

[0002] In the field of modern Internet of Things and smart devices, real-time monitoring of the status and performance of equipment is crucial to improving equipment maintenance efficiency and continuous operation stability. In the existing technology, the use of three-axis acceleration sensors to monitor equipment vibration has become a common method. By capturing basic information about equipment vibration through three-axis acceleration data, the abnormal operation status of the equipment can be effectively identified, thereby providing data support for subsequent fault diagnosis and predictive maintenance.

[0003] However, the current technology of obtaining vibration characteristics based on three-axis acceleration data to determine whether the equipment is vibrating still has certain limitations and challenges. It is relatively complicated to directly extract effective features from the three-axis acceleration raw data and make vibration judgments. It is necessary to consider data preprocessing, feature extraction and other steps, which increases the difficulty of system implementation. [Summary of the invention]

[0004] In view of this, the present invention provides a vibration monitoring method, system and device for porcelain bushing equipment of a substation.

[0005] The specific technical scheme of the first embodiment of the present invention is: a vibration monitoring method for porcelain sleeve equipment of a substation, the method comprising: obtaining three-axis acceleration data of the equipment to be monitored in the substation at different times; the equipment to be monitored is a flange and a support plate; segmenting the three-axis acceleration data at different times in chronological order to obtain acceleration information of each time period; solving the acceleration information of each time period to obtain displacement information of each time period; summing the displacement information of all time periods to obtain the total displacement information of the equipment to be monitored; judging whether the equipment to be monitored is vibrating according to the total displacement information and a preset displacement threshold.

[0006] Preferably, after obtaining the three-axis acceleration data of the monitored equipment of the substation at different times, it also includes: performing median filtering on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data; then segmenting the three-axis acceleration data at different times in time order to obtain acceleration information for each time period, including: segmenting the optimized three-axis acceleration data in time order to obtain acceleration information for each time period.

[0007] Preferably, performing median filtering on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data includes: obtaining median data of each acceleration data in the three-axis acceleration data at a target time; the three-axis acceleration data at the target time is the three-axis acceleration data at any one of the three-axis acceleration data at different times; judging whether the median data is noise; if the median data is noise, eliminating the acceleration corresponding to the noise in the three-axis acceleration data at the target time to obtain optimized three-axis acceleration data.

[0008] Preferably, the median data is obtained according to the size of the sliding window, the acceleration data with the middle sequence number after all the acceleration data of the current sliding window are arranged one by one in numerical order, and the current acceleration data of the input window.

[0009] Preferably, the determination of whether the median data is noise includes: obtaining the maximum acceleration value and the minimum acceleration value in the three-axis acceleration data at the target moment; if the median data is between the maximum acceleration value and the minimum acceleration value, the median data is not noise, otherwise the median data is noise.

[0010] Preferably, a differential operational amplifier is used to perform differential amplification operation on the three-axis acceleration data at different times to obtain amplified three-axis acceleration data; then the three-axis acceleration data at different times are segmented in time order to obtain acceleration information of each time period, including: segmenting the amplified three-axis acceleration data in time order to obtain acceleration information of each time period.

[0011] Preferably, the use of a differential operational amplifier to perform differential amplification operation on the three-axis acceleration data at different times to obtain acceleration information for each time period includes: using the three-axis acceleration data at different times as two input signals of the differential operational amplifier; connecting the two input signals to the positive input terminal and the negative input terminal of the differential operational amplifier respectively; and the differential operational amplifier obtaining the amplified three-axis acceleration value according to the difference of the input signals and a preset proportional coefficient.

[0012] Preferably, the preset proportional coefficient is obtained by the following method: setting quality grades corresponding to different quality sizes; setting structural rigidity grades corresponding to different structural rigidity sizes; obtaining the target quality grade according to the quality of the equipment to be monitored, and obtaining the target structural rigidity grade according to the structural rigidity of the equipment to be monitored; summing the target quality grade and the target structural rigidity grade to obtain the total grade of the equipment to be monitored; obtaining the preset proportional coefficient according to a preset grade-proportional coefficient comparison table and the total grade; wherein the preset grade-proportional coefficient comparison table includes different preset proportional coefficients corresponding to different grade totals; wherein, the higher the grade total, the larger the preset proportional coefficient.

[0013] The specific technical scheme of the second embodiment of the present invention is: a vibration monitoring system for porcelain sleeve equipment of a substation, the system comprising: a data acquisition module, a segmentation module, a first displacement acquisition module, a second displacement acquisition module and a vibration judgment module; the data acquisition module is used to obtain the three-axis acceleration data of the equipment to be monitored in the substation at different times; the equipment to be monitored is a flange and a support plate; the segmentation module is used to segment the three-axis acceleration data at different times in chronological order to obtain the acceleration information of each time period; the first displacement acquisition module is used to solve the acceleration information of each time period to obtain the displacement information of each time period; the second displacement acquisition module is used to sum the displacement information of all time periods to obtain the total displacement information of the equipment to be monitored; the vibration judgment module is used to judge whether the equipment to be monitored is vibrating according to the total displacement information and a preset displacement threshold.

[0014] The specific technical solution of the third embodiment of the present invention is: a vibration monitoring device for a porcelain bushing equipment of a substation, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application.

[0015] Implementing the embodiments of the present invention will have the following beneficial effects:

[0016] The present invention can accurately capture the vibration of the device in three-dimensional space by collecting the three-axis acceleration data of the device, and then convert it into displacement information. It can judge whether the device has vibrated based on the displacement information without collecting vibration characteristics, thereby simplifying the vibration judgment process and reducing the difficulty of system implementation.

Brief Description of the Drawings

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of the steps of a vibration monitoring method for a porcelain bushing equipment of a substation;

[0019] Figure 2 This is a schematic diagram of the structure of the vibration monitoring system for the porcelain bushing equipment of the substation;

[0020] Among them, 201 is a data acquisition module; 202 is a segmentation module; 203 is a first displacement acquisition module; 204 is a second displacement acquisition module; 205 is a vibration judgment module. [Specific implementation method]

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules that are inherent to these processes, methods, products or devices.

[0023] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0024] Earthquakes, as a natural disaster, pose a serious threat to the safe operation of key infrastructure such as substations. As an important electrical insulation component, the porcelain bushing equipment in the substation is more vulnerable to earthquakes. Once damaged, it will directly affect the normal operation of the substation and power supply. Therefore, it is particularly important to monitor and analyze porcelain bushing equipment under earthquake conditions.

[0025] See also Figure 1 , is a flowchart of the steps of a vibration monitoring method for a porcelain bushing device of a substation in the first embodiment of the present application, which simplifies the vibration judgment process. The method includes:

[0026] Step 101, obtaining triaxial acceleration data of a device to be monitored of a substation at different times; the device to be monitored is a flange and a support plate;

[0027] Step 102: segment the three-axis acceleration data at different times in chronological order to obtain acceleration information of each time period;

[0028] Step 103, solving the acceleration information of each time period to obtain the displacement information of each time period;

[0029] Step 104: sum the displacement information of all time periods to obtain the total displacement information of the device to be monitored;

[0030] Step 105: Determine whether the device to be monitored is vibrating according to the total displacement information and a preset displacement threshold.

[0031] Specifically, the entire movement of the porcelain sleeve equipment under the earthquake state is evenly divided into n small segments for analysis. When n is very large, each small segment of movement can be approximated as uniform linear motion and uniform accelerated motion. According to the uniform accelerated motion formula: v(t)-v(0)=a·t, that is: v(t)=a·t+v(0), The displacement of each segment can be expressed by its acceleration and time. The displacement formula of the first segment (initial velocity is zero) is: The second displacement formula is: The displacement formula for the nth segment is: In order to make this formula easy to program in the microprocessor STM32F407, this embodiment makes the following modifications to the formula: Right now: Where t is the sampling interval, a i is the acceleration value obtained by sampling at the i-th time, S n It is the displacement measured after the nth sampling.

[0032] The method in this embodiment can accurately capture the vibration of the device in three-dimensional space by collecting the three-axis acceleration data of the device, and then convert it into displacement information. It can judge whether the device is vibrating based on the displacement information without collecting vibration characteristics, thereby simplifying the vibration judgment process and reducing the difficulty of system implementation.

[0033] In a specific embodiment, after obtaining the three-axis acceleration data of the monitored equipment of the substation at different times, it also includes: performing median filtering on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data; then segmenting the three-axis acceleration data at different times in time order to obtain acceleration information for each time period, including: segmenting the optimized three-axis acceleration data in time order to obtain acceleration information for each time period.

[0034] Specifically, the vibration data of porcelain sleeve equipment is mainly collected based on three-axis accelerometers. During the measurement process, noise will inevitably appear due to mechanical vibration and the influence of the installation environment. The purpose of error analysis is to calibrate it using some statistical laws. The random error of the three-axis accelerometer is mainly reflected in the occasional pulse noise in the collected data when the acceleration is collected under high dynamic conditions. The appearance of this noise is caused by the uncertainty of data changes caused by the gravity field introducing motion acceleration when the accelerometer moves dynamically, and is also related to the manufacturing process of the accelerometer. In this case, an adaptive median filter is used for data smoothing.

[0035] In a specific embodiment, the median filtering is performed on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data, including: obtaining the median data of each acceleration data in the three-axis acceleration data at a target time; the three-axis acceleration data at the target time is the three-axis acceleration data at any one of the three-axis acceleration data at different times; judging whether the median data is noise; if the median data is noise, eliminating the acceleration corresponding to the noise in the three-axis acceleration data at the target time to obtain optimized three-axis acceleration data.

[0036] Specifically, the filtering method of the traditional median filter is to slide a window across the signal and replace the value at the center of the window with the median, so that the value of this point is closer to the trend value of the signal, thereby eliminating isolated noise points and achieving the purpose of eliminating impulse noise. The smaller the filter window in the median filter, the better the retention of details in the protected data set, but the ability to filter out noise is limited; on the contrary, increasing the filter window can improve the ability to suppress noise, but some non-noise points will be filtered out. Since the filter window size used by the conventional median filter is fixed, the above contradiction cannot be resolved. The filtering method of the adaptive median filter can solve this problem. First, a threshold is set for the adaptive median filter in advance. When the data point in the center of the window is judged as noise, the median value in the current window is replaced by the output of the filter, otherwise its value is retained. The adaptive median filter can have a good suppression effect on the impulse noise that often appears in the acceleration data, and the details are also well preserved. The basic process of the median filter is as follows:

[0037]

[0038] Among them, n is the size of the sliding window, a k To arrange the data in the current sliding window in numerical order, the sequence number is the middle number, a i is the input window acceleration data.

[0039] In a specific embodiment, the median data is obtained according to the size of the sliding window, the acceleration data with the middle sequence number after all the acceleration data of the current sliding window are arranged one by one in numerical order, and the current acceleration data of the input window.

[0040] In a specific embodiment, determining whether the median data is noise includes: obtaining the maximum acceleration value and the minimum acceleration value in the three-axis acceleration data at the target moment; if the median data is between the maximum acceleration value and the minimum acceleration value, the median data is not noise, otherwise the median data is noise.

[0041] Specifically, define Z min is the acceleration data a i The minimum value of Z max is the acceleration data a i The maximum value, Z med is the signal median, S max is the maximum allowed window size. In this way, the adaptive median filter can be summarized into two processing steps: determining the median Z in the current window med Is it noise and judge the acceleration a k Is it noise? If Z min <Z med <Zmax The median Z med It will not be judged as noise, and the acceleration data at the center of the current window will continue to be checked to determine a k Is it noise? If Z min <a k <Z max The relationship between a k It is not noise. In this case, the filter will k The output is the acceleration at the current moment; if the above conditions are not met, it can be determined that a k is noise, then the output median Z med as the acceleration at the current moment.

[0042] In a specific embodiment, a differential operational amplifier is used to perform differential amplification operation on the three-axis acceleration data at different times to obtain amplified three-axis acceleration data; then the three-axis acceleration data at different times are segmented in time order to obtain acceleration information of each time period, including: segmenting the amplified three-axis acceleration data in time order to obtain acceleration information of each time period.

[0043] Specifically, the differential operational amplifier can effectively suppress the common-mode interference in the input signal. In the process of measuring and transmitting acceleration data, it is often affected by various environmental noises and interferences, and these interference signals usually exist in the form of common-mode signals. The differential amplifier only amplifies the differential signal between the two input ports and suppresses the common-mode signal, thereby significantly improving the signal-to-noise ratio and stability of the signal. The differential amplifier has a strong suppression ability for interference signals from the environment. Since the input end of the differential amplifier adopts a differential input method, its sensitivity to external interference signals is greatly reduced. This feature enables the differential operational amplifier to maintain stable performance in a noisy and cluttered environment, thereby ensuring the accuracy and reliability of the acceleration data. The differential amplifier can improve the overall gain and linearity. In the process of amplifying the acceleration data, the differential amplifier can provide a stable amplification factor and maintain a good linear relationship. This allows the acceleration data to maintain its original characteristics and accuracy after amplification, thereby meeting the requirements of subsequent processing and analysis.

[0044] In a specific embodiment, the differential operational amplifier is used to perform differential amplification operation on the three-axis acceleration data at different times to obtain acceleration information for each time period, including: using the three-axis acceleration data at different times as two input signals of the differential operational amplifier; connecting the two input signals to the positive input terminal and the negative input terminal of the differential operational amplifier respectively; and the differential operational amplifier obtains the amplified three-axis acceleration value according to the difference of the input signals and a preset proportional coefficient.

[0045] Specifically, the differential operational amplifier can convert the differential signal into a single-ended signal output, which is convenient for subsequent circuit processing. In the process of measuring and transmitting acceleration data, it is often necessary to convert the differential signal into a single-ended signal so as to connect and process it with the subsequent circuit. The differential operational amplifier can easily realize the conversion process through its internal differential amplification mechanism.

[0046] In a specific embodiment, the preset proportional coefficient is obtained by the following method: setting the quality grade corresponding to different quality sizes; setting the structural rigidity grade corresponding to different structural rigidity sizes; obtaining the target quality grade according to the quality of the equipment to be monitored, and obtaining the target structural rigidity grade according to the structural rigidity of the equipment to be monitored; summing the target quality grade and the target structural rigidity grade to obtain the total grade of the equipment to be monitored; obtaining the preset proportional coefficient according to a preset grade-proportional coefficient comparison table and the total grade; wherein the preset grade-proportional coefficient comparison table includes different preset proportional coefficients corresponding to different grade totals; wherein, the higher the grade total, the larger the preset proportional coefficient.

[0047] Specifically, mass is a measure of the inertia of an object and has a direct impact on the dynamic response of the structure. By setting the acceleration magnification factor related to mass, the dynamic behavior of the structure under different mass distributions can be simulated and predicted more accurately. Structural rigidity determines the ability of the structure to resist deformation. By setting the acceleration magnification factor related to structural rigidity, the vibration characteristics and response modes of the structure under different stiffness conditions can be reflected.

[0048] In the specific embodiments, see Figure 2, is a structural schematic diagram of a vibration monitoring system for a porcelain sleeve device of a substation in the second embodiment of the present application, the system comprising: a data acquisition module 201, a segmentation module 202, a first displacement acquisition module 203, a second displacement acquisition module 204 and a vibration judgment module 205; the data acquisition module 201 is used to obtain the three-axis acceleration data of the equipment to be monitored in the substation at different times; the equipment to be monitored is a flange and a support plate; the segmentation module 202 is used to segment the three-axis acceleration data at different times in time sequence to obtain the acceleration information of each time period; the first displacement acquisition module 203 is used to solve the acceleration information of each time period to obtain the displacement information of each time period; the second displacement acquisition module 204 is used to sum the displacement information of all time periods to obtain the total displacement information of the equipment to be monitored; the vibration judgment module 205 is used to judge whether the equipment to be monitored is vibrating according to the total displacement information and a preset displacement threshold. The system in this embodiment can accurately capture the vibration of the device in three-dimensional space by collecting the three-axis acceleration data of the device, and then convert it into displacement information. It can judge whether the device is vibrating based on the displacement information without collecting vibration characteristics, thereby simplifying the vibration judgment process and reducing the difficulty of system implementation.

[0049] Specifically, the vibration judgment module is a microprocessor. In order to improve the working efficiency of the microprocessor, this embodiment proposes a method for simultaneous data acquisition and processing. Two two-dimensional floating-point arrays array_data and array data2 are set in the interrupt handler of STM32 to temporarily store 24 acceleration values ​​of three axes. When the interrupt response occurs, the two arrays store data in turn. When one array is full, another array is replaced. At the same time, the signal constant array_fullflag is marked as 1. When the main function detects that array_full flag is 1, the acceleration data processing function is executed, and the other array is also constantly collecting data.

[0050] When an array is full, the function acceleration length(int axis) for calculating the distance is entered. A new array array data is set in the function acceleration length(int axis). The first 6 data are taken from another array (note that the other array has not been assigned values ​​when data is collected for the first time, and the first 6 data are all 0 at this time), and the last 24 data are taken from this array. This can effectively connect the two arrays and smooth the data.

[0051] Due to the presence of noise, the acceleration sensor data cannot be stable during measurement, and there is also a ±2 drift in the 4g, 250Hz mode, so there will be deviations in the measurement under static conditions. In order to eliminate this situation, the data must be filtered first.

[0052] In a specific embodiment, the third embodiment of the present application provides a vibration monitoring device for a porcelain bushing device of a substation, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application. The device in this embodiment can accurately capture the vibration of the device in three-dimensional space by collecting the three-axis acceleration data of the device, and then convert it into displacement information, and judge whether the device has vibrated according to the displacement information, without collecting vibration characteristics, thereby simplifying the vibration judgment process and reducing the difficulty of system implementation.

[0053] Specifically, the vibration monitoring equipment of the porcelain sleeve equipment of the substation includes a vibration acceleration and attitude monitoring device, a background data center, a cloud database, and a remote monitoring platform; the vibration acceleration and attitude monitoring device is used for ground vibration data collection and porcelain sleeve equipment data collection, and the collected data is processed and sent to the background data center; the ground vibration data collection mainly collects ground vibration acceleration, and the porcelain sleeve equipment data collection mainly collects the three-dimensional acceleration data signal of the epicenter of the porcelain sleeve equipment; the vibration acceleration and attitude monitoring device filters and performs attitude solution processing on the collected ground vibration data and porcelain sleeve equipment data, and sends the processed data to the background data center; the background data center is used to receive the data sent by the vibration acceleration and attitude monitoring device, and after filtering the data, stores the data in the cloud database according to the rules; the database is a computer software system that stores and manages data according to the data structure, and the cloud database is a database deployed and virtualized in the cloud computing environment. After receiving the data, the background data center filters the data according to the preset program, and stores the filtered data in the cloud database according to the rules; the remote monitoring platform is used to operate the background data center and read the cloud database data. The remote monitoring platform sends instructions to the backend data center, reads the cloud database data, and returns the read data to the backend data center. The backend data center parses the data according to the rules and sends it to the remote monitoring platform. The remote monitoring platform displays the received data to the monitoring personnel.

[0054] Specifically, the vibration acceleration and posture monitoring device includes: a ground vibration acquisition module, a porcelain sleeve equipment data acquisition module, a data processing module, a communication module, and a power supply module; in this embodiment, the ground vibration acquisition module is composed of a ground vibration acceleration sampling circuit, a signal acquisition conditioning, a voltage conversion module, a real-time clock, an AD conversion and interface, and an MCU main control circuit; the ground vibration acquisition module is used to collect ground vibration acceleration data, and transmit the collected data to the data processing module after filtering; the ground vibration acquisition module is placed at a preset ground acquisition point to collect ground vibration acceleration data, and the collected data is filtered and pre-processed before being transmitted. to the data processing module; the ground vibration acquisition module is composed of the equipment bracket vibration acceleration sampling circuit, signal acquisition conditioning, voltage conversion module, real-time clock, AD conversion and interface, and MCU main control circuit; the porcelain sleeve equipment data acquisition module is used to collect the acceleration and posture data of porcelain sleeve equipment, and transmit the collected data to the data processing module after calculation; after the earthquake, there are 5 main typical porcelain sleeve equipment in the substation: circuit breaker, disconnector, lightning arrester, current transformer (CT), voltage transformer (PT), and the porcelain sleeve equipment data acquisition module is set in the typical porcelain sleeve equipment to collect the acceleration and posture data of the porcelain sleeve equipment, and the collected data is transmitted to the data processing module. After calculation, it is transmitted to the data processing module; the data processing module is used to receive the data collected by the ground vibration acquisition module and the porcelain sleeve equipment data acquisition module, and by fusing the data collected by the ground vibration module with the data collected by the porcelain sleeve equipment data acquisition module, the ground vibration acceleration, epicenter equipment acceleration, and tilt characteristic parameter acquisition and attitude solution are completed using the attitude algorithm, and the fused and calculated data is transmitted to the communication module; after receiving the collected data, the data processing module inputs the data into the preset software for fusion, and solves the porcelain sleeve equipment vibration data through the attitude algorithm to obtain the attitude data characteristic parameters of the porcelain sleeve equipment, and the fused solution is completed. The data after the earthquake is sent to the communication module; the communication module is used to receive the data transmitted by the data processing module and send the data to the background data processing center; the communication module adopts a wireless communication module, which supports GPRS and short message dual-channel data transmission, and supports multi-center data communication. Under the extreme environmental conditions of earthquakes, the transmission data is relatively less affected, and the data transmission is kept stable; the power supply module is used to provide power for the vibration acceleration and attitude monitoring device; the power supply module has an isolation effect, strong anti-interference ability, self-protection function, and is easy to integrate. It can stably provide power to the vibration acceleration and attitude monitoring device during an earthquake, and generally has energy storage and power supply functions.

[0055] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

[0056] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A vibration monitoring method for a porcelain bushing equipment of a substation, characterized in that: The method comprises: Acquire the triaxial acceleration data of the equipment to be monitored of the substation at different times; the equipment to be monitored is a flange and a support plate; Segmenting the triaxial acceleration data at different times in chronological order to obtain acceleration information for each time period; Solve the acceleration information of each time period to obtain the displacement information of each time period; Sum the displacement information of all time periods to obtain the total displacement information of the device to be monitored; Whether the device to be monitored vibrates is determined according to the total displacement information and a preset displacement threshold.

2. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 1, characterized in that: After obtaining the triaxial acceleration data of the equipment to be monitored in the substation at different times, the method further includes: Performing median filtering on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data; Then the three-axis acceleration data at different times are segmented in chronological order to obtain acceleration information of each time period, including: The optimized three-axis acceleration data is segmented in time order to obtain acceleration information of each time period.

3. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 2, characterized in that: The performing median filtering on the three-axis acceleration data at different times to obtain optimized three-axis acceleration data includes: Acquire the median data of each acceleration data in the three-axis acceleration data at the target time; the three-axis acceleration data at the target time is the three-axis acceleration data at any one time in the three-axis acceleration data at different times; Determining whether the median data is noise; If the median data is noise, the acceleration corresponding to the noise is removed from the three-axis acceleration data at the target time to obtain optimized three-axis acceleration data.

4. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 3, characterized in that: The median data is obtained according to the size of the sliding window, the acceleration data with the middle sequence number after all the acceleration data of the current sliding window are arranged one by one in numerical order, and the current acceleration data of the input window.

5. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 3, characterized in that: The determining whether the median data is noise includes: Obtaining the maximum acceleration value and the minimum acceleration value in the three-axis acceleration data at the target moment; If the median data is between the maximum acceleration value and the minimum acceleration value, the median data is not noise; otherwise, the median data is noise.

6. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 1, characterized in that: The method further comprises: Using a differential operational amplifier to perform differential amplification operation on the three-axis acceleration data at different times to obtain amplified three-axis acceleration data; Then the three-axis acceleration data at different times are segmented in chronological order to obtain acceleration information of each time period, including: The amplified three-axis acceleration data is segmented in time order to obtain acceleration information of each time period.

7. The vibration monitoring method for the porcelain bushing equipment of the substation according to claim 6, characterized in that: The step of using a differential operational amplifier to perform differential amplification operation on the three-axis acceleration data at different times to obtain acceleration information for each time period includes: Using the three-axis acceleration data at different times as two input signals of a differential operational amplifier; Connecting the two input signals to the positive input terminal and the negative input terminal of the differential operational amplifier respectively; The differential operational amplifier obtains the amplified three-axis acceleration value according to the difference of the input signal and a preset proportionality coefficient.

8. The vibration monitoring method for porcelain bushing equipment of a substation according to claim 7, characterized in that: The preset proportionality coefficient is obtained by the following method: Set the quality level corresponding to different quality sizes; Set the structural rigidity level corresponding to different structural rigidity levels; Obtaining a target quality grade according to the quality of the equipment to be monitored, and obtaining a target structural rigidity grade according to the structural rigidity of the equipment to be monitored; The target quality grade and the target structural rigidity grade are summed to obtain the grade sum of the equipment to be monitored; The preset proportional coefficient is obtained according to a preset level-proportional coefficient comparison table and the level sum; wherein the preset level-proportional coefficient comparison table includes different preset proportional coefficients corresponding to different level sums; wherein, the higher the level sum, the larger the preset proportional coefficient.

9. A vibration monitoring system for porcelain bushing equipment of a substation, characterized in that: The system comprises: a data acquisition module, a segmentation module, a first displacement acquisition module, a second displacement acquisition module and a vibration judgment module; The data acquisition module is used to acquire the triaxial acceleration data of the equipment to be monitored in the substation at different times; the equipment to be monitored is a flange and a support plate; The segmentation module is used to segment the three-axis acceleration data at different times in time sequence to obtain acceleration information of each time period; The first displacement acquisition module is used to solve the acceleration information of each time period to obtain the displacement information of each time period; The second displacement acquisition module is used to sum the displacement information of all time periods to obtain the total displacement information of the device to be monitored; The vibration determination module is used to determine whether the device to be monitored is vibrating according to the total displacement information and a preset displacement threshold.

10. A vibration monitoring device for a porcelain bushing device of a substation, comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 8.

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