Optical three-phase integrated combined voltage transformer and intelligent monitoring system
Through the combination of the U-shaped support frame and the intelligent monitoring system, the installation stability and intelligent monitoring of the false alarm rate of the three-phase integrated voltage transformer are solved, and the accuracy of the voltage signal and maintenance efficiency are improved.
Patent Information
- Application Number
- CN202510947315.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-10
- Publication Date
- 2025-08-12
- Estimated Expiration
- 2045-07-10
AI Technical Summary
The existing three-phase integrated voltage transformer has poor stability during installation, easy to loosen or displace, affecting the accuracy of voltage signals and equipment safety, low maintenance efficiency, high false alarm rate during intelligent monitoring, and cannot accurately adjust and dynamically adjust the threshold.
The matching structure of the U-shaped support frame, the L-shaped fixing sheet and the partition is adopted, and the positioning cylinder, the fixing screw, and the arc-shaped positioning ring is combined to achieve multi-angle positioning and fixing; combined with the acquisition module, analysis module and execution module of the intelligent monitoring system, data analysis and abnormal judgment are carried out, and the threshold is dynamically adjusted.
It improves the accuracy of voltage signals and the operating reliability of the equipment, reduces maintenance time and redundant spare parts transportation, reduces false alarm rates, and improves maintenance efficiency and equipment stability.
Smart Images

Figure CN120468481A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to an optical three-phase integrated voltage transformer and an intelligent monitoring system. Background Art
[0002] In modern power systems, three-phase integrated voltage transformers, as key equipment for power conversion, metering, and protection, are widely used in substations, distribution rooms, and other places. They can proportionally convert high voltage to low voltage, providing accurate voltage signals for the power system's metering instruments and relay protection devices. This is of great significance for ensuring the stable operation of the power system and improving the accuracy of electric energy measurement. With the advancement of smart grid construction, higher requirements are being placed on the installation convenience, operational stability, and intelligent monitoring level of voltage transformers. However, the existing three-phase integrated voltage transformer has poor installation structure stability during use. As a result, the transformer is easily loosened or even displaced during long-term operation due to factors such as environmental vibration and wind. This not only affects the accuracy of the voltage signal but also poses a safety hazard. In addition, the positioning method lacks precise adjustment function, which cannot ensure the accurate installation of the voltage transformer, affecting the electrical performance and operational stability of the equipment. When a transformer malfunctions, maintenance personnel must troubleshoot possible faults one by one. This can take a long time, and prolonged troubleshooting can result in prolonged equipment maintenance, increasing the risk of electric shock. During maintenance, the type of fault may not be clear, requiring the transportation of multiple spare parts. This can also lead to rework due to insufficient spare parts, impacting work efficiency. During intelligent monitoring, equipment vibration and temperature naturally rise during peak grid loads, and fixed thresholds can easily misinterpret normal fluctuations as abnormalities. Initial equipment aging manifests as only minor parameter changes, and fixed thresholds, without dynamic adjustment, fail to trigger alarms, missing the optimal maintenance opportunity. Therefore, the above technical problems need to be solved. Summary of the Invention
[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an optical three-phase integrated voltage transformer and an intelligent monitoring system.
[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an optical three-phase integrated combined voltage transformer and intelligent monitoring system, comprising a U-shaped support frame flush on both sides of the ground, with a base placed horizontally on the upper end of the U-shaped support frame on both sides, the base and the U-shaped support frame are fixedly connected by bolts, and three positioning mechanisms are equidistantly installed on the upper end of the base, a fixing seat is installed in the positioning mechanism, and a junction box is equidistantly installed between the base at the lower end of the positioning mechanism and the U-shaped support frame, and fixing mechanisms are installed at both ends of the junction box.
[0005] Preferably, a bottom plate is fixedly connected horizontally below the U-shaped support frames, and a partition plate is inserted between three junction boxes equidistantly installed on the upper end of the bottom plate.
[0006] Preferably, the fixing mechanism includes a limit plate installed horizontally at both ends of the junction box, and L-shaped fixing plates are installed above and below both ends of the limit plate. The L-shaped fixing plate is fixedly connected to the U-shaped support frame and the partition by bolts, and the L-shaped fixing plate and the limit plate are fixed by glue.
[0007] Preferably, the positioning mechanism includes three positioning cylinders equidistantly fixed to the upper end of the base, four fixed blocks equidistantly fixed to the upper end of the positioning cylinders, a fixing screw is horizontally provided at the middle level of the fixing block, and the other end of the fixing screw is rotatably clamped with an arc-shaped positioning ring.
[0008] Preferably, a fixing seat is installed vertically inside the positioning cylinder, and the fixing seat is fixedly connected to the base by bolts.
[0009] Preferably, a voltage divider is fixed to the upper end of the fixing seat, and a current sensor is installed on the upper end of the voltage divider.
[0010] Preferably, the intelligent monitoring system includes a collection module, an analysis module and an execution module; The acquisition module collects vibration data, inclination data, equipment temperature data and environmental data, and transmits the collected data to the analysis module; The analysis module analyzes the vibration data, inclination data, and equipment temperature data transmitted by the acquisition module, establishes a fluctuation range to filter out abnormal values, and compares the mean of the remaining data of the corresponding item with the threshold of the corresponding item to determine whether an abnormality has occurred; if it is determined that an abnormality has occurred, an abnormality warning signal is generated according to the corresponding item, and the abnormality warning signal of the corresponding item is transmitted to the execution module; if it is determined that no abnormality has occurred, the growth rate of the corresponding item is calculated. If it is determined that the corresponding item will exceed the threshold of the corresponding item within the preset reaction time, an abnormality warning signal is generated according to the corresponding item, and the abnormality warning signal of the corresponding item is transmitted to the execution module; the environmental data transmitted by the acquisition module is analyzed to obtain the dynamic threshold of the corresponding item corresponding to the environmental change; After receiving the abnormal warning signal of the corresponding item, the execution module performs the corresponding operation; After receiving the vibration abnormality warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the red light in the three-color indicator light will light up. After the warning time reaches the set time, a text message will be sent to the operation and maintenance personnel. The text message content includes the abnormality type, abnormal location and recommended operations; After receiving the tilt abnormality warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the yellow light in the three-color indicator light will light up. When the warning time reaches the set time, a text message will be sent to the operation and maintenance personnel, and the text message content includes the tilt angle and tilt position; After receiving the early warning signal of the corresponding item, a signal is sent to the operation and maintenance personnel to remind them to go and perform maintenance operations in advance during the regular maintenance period.
[0011] Preferably, the analysis module performs the following analysis steps for abnormality judgment: S1: Sort the data received from the acquisition module according to the acquisition time, and segment it according to the set time period, and average the various detection data in two adjacent time periods. and standard deviation The calculated mean and standard deviation Detection data fluctuation range Settings, is a positive integer; S2: Mark the corresponding item detection data that is not within the fluctuation range as the abnormal value of the corresponding item, and count the number of abnormal values. Perform statistics, if the total number of corresponding test data in the corresponding time period , then the logarithmic value Perform the addition operation and then re-count the number of outliers until the number of outliers meets , numerical value The maximum value does not exceed the value The default value of is the serial number of the corresponding item, is the preset proportional coefficient; S3: Analyze the historical data of the corresponding items and analyze the data for each time period The corresponding values analyzed Record in the data set If the corresponding value In the data set If the number of occurrences in exceeds the preset ratio, the value is determined The default value is ; If there is no value that appears more than the preset ratio , then for the data set The data in the mean Calculation of the mean value As a numerical value The default value of S4: After removing outliers, average the remaining test data Calculation of the mean value Record as the mean of the detection data of the corresponding time period; Compare with the preset threshold data of the corresponding item. If the mean of the corresponding item If the value is greater than or equal to the preset threshold value of the corresponding item, it is determined that the corresponding item is abnormal, an abnormal warning signal is generated according to the corresponding item, and the abnormal warning signal of the corresponding item is transmitted to the execution module; S5: If the mean of the corresponding items If the data is less than the preset threshold value of the corresponding item, the data closest to the current time period will be retrieved. The mean value of the detection data in each time period And arrange the detection data means in chronological order, and then perform adjacent data differences in the sorted order The growth rate is calculated based on the difference , and They are the difference data of the corresponding moment and the next moment; S6: Determine the mean value of the detection data of the corresponding item at the current moment based on the growth rate How long will it take to reach the preset threshold data of the corresponding item? After that, the threshold is reached, and , then generate a warning signal according to the corresponding item, and pass the warning signal of the corresponding item to the execution module, is the preset scale factor, The preset reaction time.
[0012] Preferably, the analysis module performs the following steps to analyze the dynamic threshold: K1: Get the ambient temperature data near the inductor transformer , humidity data and wind speed data Calculate the mean and standard deviation of the acquired data, subtract the mean data from the detection data at the corresponding time point and divide it by the standard deviation data to obtain the standardized detection data, and record the standardized detection data as the standard detection data ; K2: Dynamic threshold of the corresponding item , is the original threshold value under the standard environment, is the sensitivity coefficient of the corresponding item, It is the real-time detection data of the corresponding item.
[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The cooperation between the U-shaped support frame, L-shaped fixing plate and partition can prevent the junction box from shaking or shifting due to external force, thereby improving the reliability and safety of the electrical connection of the equipment, thereby achieving the function of improving the accuracy of the voltage signal and preventing safety hazards. The cooperation between the positioning cylinder, fixing screw and arc-shaped positioning ring facilitates multi-angle and all-round positioning and fixing of the fixing seat, thereby improving the reliability of the transformer operation and realizing the precise installation of the voltage transformer, and ultimately solving the problems of easy loosening and lack of precise adjustment function. 2. Through data analysis by the analysis module, a preliminary judgment of the abnormality type is made, narrowing the scope of troubleshooting from "checking all components one by one" to "precise maintenance of target components." Maintenance personnel can carry targeted tools, reduce the transportation of redundant spare parts and the secondary rework rate, thereby improving maintenance efficiency; dynamic thresholds automatically compensate for the impact of environmental and load fluctuations, reducing false alarm rates. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 This is a schematic diagram of the overall three-dimensional structure proposed by the present invention; Figure 2 This is a schematic diagram of the overall three-dimensional structure of the other side proposed by the present invention; Figure 3 This is a schematic diagram of the overall three-dimensional structure proposed by the present invention when viewed from above; Figure 4 This is a schematic diagram of the partial and overall three-dimensional structure proposed by the present invention; Figure 5 This is a schematic diagram of the front structure of the present invention; Figure 6 This is a flow chart of the system proposed in the present invention.
[0015] Serial numbers in the figure: 1. U-shaped support frame; 2. Base; 3. Partition; 4. L-shaped fixing plate; 5. Junction box; 6. Positioning cylinder; 7. Fixing block; 8. Fixing screw; 9. Arc-shaped positioning ring; 10. Fixing seat; 11. Current sensor; 12. Voltage divider; 13. Limiting plate; 14. Bottom plate. DETAILED DESCRIPTION
[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.
[0017] Example: See Figure 1-6The optical three-phase combined voltage transformer and intelligent monitoring system of the present invention include a U-shaped support frame 1 flush with the ground on both sides, a base 2 is placed horizontally on the upper ends of the U-shaped support frames 1 on both sides, the base 2 and the U-shaped support frame 1 are fixedly connected by bolts, and three positioning mechanisms are equidistantly installed on the upper ends of the base 2, a fixing seat 10 is installed in the positioning mechanism, and a junction box 5 is equidistantly installed between the base 2 at the lower end of the positioning mechanism and the U-shaped support frame 1, and fixing mechanisms are installed at both ends of the junction box 5, so as to facilitate the construction of a stable basic support structure through the U-shaped support frame 1 and the base 2; a bottom plate 14 is fixedly connected horizontally between the U-shaped support frames 1, and a partition 3 is inserted between the three junction boxes 5 equidistantly installed on the upper ends of the bottom plate 14, so as to facilitate the separation of line wiring, avoid wiring confusion, and the wiring A voltage sensor is installed in the box 5, and the voltage sensor is an optical voltage sensor. The voltage measurement error range can be controlled within ±0.2%, which is about 60% higher than the ±0.5% error of the traditional three-phase voltage transformer. The fixing mechanism includes a limit plate 13 installed horizontally at both ends of the junction box 5, and L-shaped fixing plates 4 are installed above and below both ends of the limit plate 13. The L-shaped fixing plate 4 is fixedly connected to the U-shaped support frame 1 and the partition 3 by bolts, and the L-shaped fixing plate 4 and the limit plate 13 are glued and fixed. The L-shaped fixing plate 4 and the limit plate 13 are conveniently prevented from shaking or shifting due to external force, thereby ensuring the reliability and safety of the electrical connection. After simulated long-term operation tests, the voltage transformer has a continuous and stable operation time of more than 10,000 hours, and a failure rate of less than 1%.
[0018] In the present invention, the positioning mechanism includes three positioning cylinders 6 equidistantly fixed to the upper end of the base 2, four fixing blocks 7 are equidistantly fixed to the upper end of the positioning cylinder 6, a fixing screw 8 is provided at a horizontal level in the middle of the fixing block 7, and an arc-shaped positioning ring 9 is rotatably clamped at the other end of the fixing screw 8. Through the fixing screw 8 and the arc-shaped positioning ring 9, it is convenient to position and fix the fixing seat 10 at multiple angles and in all directions; a fixing seat 10 is installed vertically on the inner side of the positioning cylinder 6, and the fixing seat 10 is fixedly connected to the base 2 by bolts. Through the positioning cylinder 6 and the fixing seat 10, it is convenient to ensure that the fixing seat 10 remains stable during operation to avoid vibration Factors such as displacement cause displacement, thereby ensuring the reliability of the voltage transformer operation; a voltage divider 12 is fixed to the upper end of the fixing seat 10, and a current sensor 11 is installed on the upper end of the voltage divider 12. Through the voltage divider 12 and the current sensor 11, it is convenient to monitor the current in the circuit in real time, and convert the current signal into an electrical signal output, and convert the input high voltage into a low voltage signal in proportion, which is convenient for subsequent measurement, protection and control equipment use, and the current sensor 11 is an optical current sensor, and the current measurement error range is controlled within ±0.3%. Compared with the ±0.7% error of traditional products, the accuracy is improved by about 57%.
[0019] The intelligent monitoring system includes acquisition module, analysis module and execution module; The acquisition module collects vibration data, inclination data, equipment temperature data and environmental data, and transmits the collected data to the analysis module; The analysis module analyzes the vibration data, inclination data, and equipment temperature data transmitted by the acquisition module, establishes a fluctuation range to filter out abnormal values, and compares the mean of the remaining data of the corresponding item with the threshold value of the corresponding item to determine whether an abnormality has occurred. If an abnormality is determined to have occurred, an abnormality warning signal is generated based on the corresponding item and the abnormality warning signal of the corresponding item is transmitted to the execution module. If no abnormality is determined to have occurred, the growth rate of the corresponding item is calculated. If it is determined that the corresponding item will exceed the threshold value of the corresponding item within the preset reaction time, an abnormality warning signal is generated based on the corresponding item and the abnormality warning signal of the corresponding item is transmitted to the execution module. MEMS triaxial acceleration sensors are installed on the outside of the fixing seat and the positioning mechanism housing to monitor the vibration data of the structure. MEMS high-precision inclinometers are installed horizontally at the central symmetrical position of the transformer base to monitor the tilt angle data of the transformer. Fiber optic temperature sensors are installed on the inner wall of the junction box and the surface of the voltage divider winding to monitor the temperature data of the structure. The data received from the acquisition module is sorted according to the acquisition time and segmented according to the set time period, and the average of each test data in two adjacent time periods is calculated. and standard deviation The calculated mean and standard deviation Detection data fluctuation range Settings, is a positive integer; the corresponding test data that is not within the fluctuation range is marked as the abnormal value of the corresponding item, and the number of abnormal values is Perform statistics, if the total number of corresponding test data in the corresponding time period , then the logarithmic value Perform the addition operation and then re-count the number of outliers until the number of outliers meets , numerical value The maximum value does not exceed the value The default value of is the serial number of the corresponding item, is the preset proportional coefficient; By calculating the mean of the data in adjacent time periods and standard deviation , set the fluctuation range ,in is a positive integer. This method is based on the normal distribution assumption. When , 99.7% of normal data can be covered; if the number of outliers Exceeding the total data volume 10% ( ), indicating that the fluctuation range is set too strictly and needs to be increased value until the condition is met; Taking vibration data as an example, when an external instantaneous impact (such as a vehicle passing by) causes the data to jump, the initial May misjudge anomalies; increase through iteration To 3, this type of interference can be eliminated; the measured data of a substation shows that after 3 iterations, the accuracy of vibration anomaly recognition increased from 65% to 92%; the standard deviation Reflects the degree of data dispersion. For transformers with stable operation, the vibration data Usually less than 0.1g; when the bolt is loose, It will increase to above 0.3g, at which point the fluctuation range is expanded to more accurately identify anomalies; Analyze the historical data of the corresponding items and The corresponding values analyzed Record in the data set If the corresponding value In the data set If the number of occurrences in exceeds the preset ratio, the value is determined The default value is ; If there is no value that appears more than the preset ratio , then for the data set The data in the mean Calculation of the mean value As a numerical value The default value of After removing outliers, the remaining test data are averaged Calculation of the mean value Record as the mean of the detection data of the corresponding time period; Compare with the preset threshold data of the corresponding item. If the mean of the corresponding item If the value is greater than or equal to the preset threshold value of the corresponding item, it is determined that the corresponding item is abnormal, an abnormal warning signal is generated according to the corresponding item, and the abnormal warning signal of the corresponding item is transmitted to the execution module; After receiving the abnormal warning signal of the corresponding item, the execution module performs the corresponding operation; After receiving the vibration anomaly warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the red light in the three-color indicator light will light up. After the warning time reaches the set duration, a text message will be sent to the operation and maintenance personnel. The text message content includes the anomaly type, abnormal location, and recommended actions. After the vibration anomaly triggers the red light to light up, the system waits for 10 minutes (set length) before sending the text message to filter out instantaneous interference. For example, if the vibration suddenly changes due to a bird's brief stay, the alarm will be canceled if the data returns to normal within 10 minutes. After receiving the tilt abnormality warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the yellow light in the three-color indicator light will light up. When the warning time reaches the set time, a text message will be sent to the operation and maintenance personnel, and the text message content includes the tilt angle and tilt position; Upon receiving a warning signal indicating abnormal equipment temperature, the system controls the buzzer module within the intelligent control component to sound a warning and illuminate the green light in the three-color indicator light. After the warning reaches the set duration, a high-temperature warning is sent to the operation and maintenance personnel, along with a temperature field cloud map generated by an infrared thermal imager. If the temperature is predicted to reach the threshold within 30 days, the system automatically adds the equipment to the next week's maintenance plan and simultaneously pushes a spare parts list (e.g., 4 bolts, 1 thermal grease) to the warehouse management system, increasing spare parts preparation efficiency by 60%. If the mean of the corresponding items If the data is less than the preset threshold value of the corresponding item, the data closest to the current time period will be retrieved. The mean value of the detection data in each time period And arrange the detection data means in chronological order, and then perform adjacent data differences in the sorted order The growth rate is calculated based on the difference , and The difference data between the corresponding moment and the next moment respectively; the mean value of the detection data of the corresponding item at the current moment is determined according to the growth rate How long will it take to reach the preset threshold data of the corresponding item? After that, the threshold is reached, and , then generate a warning signal according to the corresponding item, and pass the warning signal of the corresponding item to the execution module, is the preset scale factor, The preset reaction time; After receiving the warning signal of the corresponding item, the execution module sends a signal to the operation and maintenance personnel to remind them to go and perform maintenance operations in advance during the regular maintenance period; If the detected abnormalities are amplitude abnormalities and temperature abnormalities, it is determined that the cause is the loosening of the bolts used for fixing the connection at the fixing seat or positioning mechanism; if the detected abnormalities are vibration frequency abnormalities and amplitude abnormalities, and the duration of the amplitude abnormality reaches the set time, it is determined that the cause is the resonance caused by the simultaneous vibration of multiple structures; if the detected abnormalities are amplitude abnormalities and inclination angle abnormalities, it is determined that the tilt of the base causes the center of gravity of the equipment to shift, causing the vibration response to intensify.
[0020] Obtain environmental data near the inductor transformer, including ambient temperature data , humidity data and wind speed data Calculate the mean and standard deviation of the acquired data, subtract the mean data from the detection data at the corresponding time point and divide it by the standard deviation data to obtain the standardized detection data, and record the standardized detection data as the standard detection data ; Dynamic threshold of the corresponding item , is the original threshold value under the standard environment, is the sensitivity coefficient of the corresponding item, Real-time detection data of the corresponding items; Environmental data (such as temperature ) is standardized to ( is the mean, For example, the ambient temperature (0-50°C) and humidity (0-100%RH) are converted into dimensionless values in the range of [-3,3] after standardization, which is convenient for comparison with real-time data. Compare; Taking the temperature threshold as an example, , , when the ambient temperature When the standardized value (Assume\( 2, ), if the real-time temperature , then the dynamic threshold This calculation enables the threshold to be adaptively adjusted according to the environment, avoiding false alarms in hot weather. Obtained by fitting historical data For example, the regression analysis of 100 sets of high temperature working condition data shows that the slope of the linear relationship between the temperature threshold and the ambient temperature is 0.5, which means that This coefficient can match the threshold adjustment with the actual temperature rise characteristics of the equipment and improve monitoring accuracy. The data is collected covering at least one full year (including seasonal environmental changes), including corresponding data of normal and abnormal working conditions. After removing abnormal values, the corresponding data is divided into several intervals. The reasonable threshold range of the monitoring items in different intervals is statistically calculated, and the corresponding environmental factors are used as independent variables. , the reasonable threshold of monitoring items is the dependent variable , fit the linear relationship by the least squares method: ,get The specific value of .
[0021] Working principle: When the present invention is used, first, the U-shaped support frame 1 and the base 2 are used to form a basic support structure, and the bottom plate 14 further enhances the stability of the equipment, while providing an installation foundation for components such as the junction box 5. Then, the limiting plate 13 is used to fix the junction box 5 on the bottom plate 14, and the L-shaped fixing piece 4 is used to fix the junction box. The partition 3 between the junction boxes 5 not only plays a separating role, but also avoids wiring confusion. Then, the positioning cylinder 6 is used to determine the installation position of the fixing seat 10, and then the fixing seat 10 is fixed by bolts. Carry out precise installation, and then rotate the fixing screw 8 to make the arc-shaped positioning ring 9 fit tightly against the fixing base 10, so as to position and fix the fixing base 10 at multiple angles and in all directions, ensuring that the fixing base 10 remains stable during operation, avoiding displacement due to factors such as vibration, and ensuring the reliability of the voltage transformer operation. Then, through the voltage divider 12 and the current sensor 11, it is convenient to monitor the current size in the circuit in real time, convert the current signal into an electrical signal output, and convert the input high voltage into a low voltage signal in proportion, which is convenient for subsequent measurement, protection and control equipment use.
[0022] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.
Claims
1. An optical three-phase integrated voltage transformer, comprising a U-shaped support frame (1) flush with the ground on both sides, characterized in that: A base (2) is horizontally placed on the upper ends of the U-shaped support frames (1) on both sides, the base (2) and the U-shaped support frame (1) are fixedly connected by bolts, and three positioning mechanisms are equidistantly installed on the upper ends of the base (2), a fixing seat (10) is installed in the positioning mechanism, and a junction box (5) is equidistantly installed between the base (2) at the lower end of the positioning mechanism and the U-shaped support frame (1), and fixing mechanisms are installed at both ends of the junction box (5).
2. The optical three-phase integrated voltage transformer according to claim 1, characterized in that: A bottom plate (14) is fixedly connected horizontally below the U-shaped support frames (1), and a partition plate (3) is inserted between three junction boxes (5) equidistantly installed on the upper end of the bottom plate (14).
3. The optical three-phase integrated voltage transformer according to claim 2, characterized in that: The fixing mechanism comprises a limit plate (13) mounted horizontally at both ends of the junction box (5), and L-shaped fixing plates (4) are mounted above and below both ends of the limit plate (13). The L-shaped fixing plates (4) are fixedly connected to the U-shaped support frame (1) and the partition plate (3) by bolts, and the L-shaped fixing plates (4) and the limit plate (13) are fixed by glue.
4. The optical three-phase integrated voltage transformer according to claim 1, characterized in that: The positioning mechanism comprises three positioning cylinders (6) fixedly connected to the upper end of the base (2) at equal distances, four fixed blocks (7) fixedly connected to the upper end of the positioning cylinder (6) at equal distances, a fixed screw (8) is provided at the horizontal level in the middle of the fixed block (7), and the other end of the fixed screw (8) is rotatably clamped with an arc-shaped positioning ring (9).
5. The optical three-phase integrated voltage transformer according to claim 4, characterized in that: A fixing seat (10) is installed vertically inside the positioning cylinder (6), and the fixing seat (10) is fixedly connected to the base (2) via bolts.
6. The optical three-phase integrated voltage transformer according to claim 5, characterized in that: A voltage divider (12) is fixedly connected to the upper end of the fixing seat (10), and a current sensor (11) is installed on the upper end of the voltage divider (12).
7. An intelligent monitoring system for an optical three-phase combined voltage transformer according to any one of claims 1 to 6, characterized in that: The intelligent monitoring system includes acquisition module, analysis module and execution module; The acquisition module collects vibration data, inclination data, equipment temperature data and environmental data, and transmits the collected data to the analysis module; The analysis module analyzes the vibration data, inclination data, and equipment temperature data transmitted by the acquisition module, establishes a fluctuation range to filter out abnormal values, and compares the mean of the remaining data of the corresponding items with the threshold of the corresponding items to determine whether an abnormality has occurred; If it is determined that an abnormality has occurred, an abnormality warning signal is generated according to the corresponding item and the abnormality warning signal of the corresponding item is transmitted to the execution module; if it is determined that no abnormality has occurred, the growth rate of the corresponding item is calculated. If it is determined that the corresponding item will exceed the threshold of the corresponding item within the preset reaction time, an abnormality warning signal is generated according to the corresponding item and the abnormality warning signal of the corresponding item is transmitted to the execution module; the environmental data transmitted by the acquisition module is analyzed to obtain the dynamic threshold of the corresponding item corresponding to the environmental change; After receiving the abnormal warning signal of the corresponding item, the execution module performs the corresponding operation; After receiving the vibration abnormality warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the red light in the three-color indicator light will light up. After the warning time reaches the set time, a text message will be sent to the operation and maintenance personnel. The text message content includes the abnormality type, abnormal location and recommended operations; After receiving the tilt abnormality warning signal, the buzzer module in the intelligent control component will sound a buzzer warning, and the yellow light in the three-color indicator light will light up. When the warning time reaches the set time, a text message will be sent to the operation and maintenance personnel, and the text message content includes the tilt angle and tilt position; After receiving the early warning signal of the corresponding item, a signal is sent to the operation and maintenance personnel to remind them to go and perform maintenance operations in advance during the regular maintenance period.
8. The intelligent monitoring system for an optical three-phase combined voltage transformer according to claim 7, characterized in that: The analysis module performs the following steps to determine abnormalities: S1: Sort the data received from the acquisition module according to the acquisition time, and segment it according to the set time period, and average the various detection data in two adjacent time periods. and standard deviation The calculated mean and standard deviation Detect data fluctuation range Settings, is a positive integer; S2: Mark the corresponding item detection data that is not within the fluctuation range as the abnormal value of the corresponding item, and count the number of abnormal values. Perform statistics, if the total number of corresponding test data in the corresponding time period , then the logarithmic value Perform the addition operation and then re-count the number of outliers until the number of outliers meets , numerical value The maximum value does not exceed the value The default value of is the serial number of the corresponding item, is the preset proportional coefficient; S3: Analyze the historical data of the corresponding items and analyze the data for each time period The corresponding values analyzed Record in the data set If the corresponding value In the data set If the number of occurrences in exceeds the preset ratio, the value is determined The default value is ; If there is no value that appears more than the preset ratio , then for the data set The data in the mean Calculation of the mean value As a numerical value The default value of S4: After removing outliers, average the remaining test data Calculation of the mean value Record as the mean of the detection data of the corresponding time period; Compare with the preset threshold data of the corresponding item. If the mean of the corresponding item If the value is greater than or equal to the preset threshold value of the corresponding item, it is determined that the corresponding item is abnormal, an abnormal warning signal is generated according to the corresponding item, and the abnormal warning signal of the corresponding item is transmitted to the execution module; S5: If the mean of the corresponding items If the data is less than the preset threshold value of the corresponding item, the data closest to the current time period will be retrieved. The mean value of the detection data in each time period And arrange the detection data means in chronological order, and then perform adjacent data differences in the sorted order The growth rate is calculated based on the difference , and They are the difference data of the corresponding moment and the next moment; S6: Determine the mean value of the detection data of the corresponding item at the current moment based on the growth rate How long will it take to reach the preset threshold data of the corresponding item? After that, the threshold is reached, and , then generate a warning signal according to the corresponding item, and pass the warning signal of the corresponding item to the execution module, is the preset scale factor, The preset reaction time.
9. The intelligent monitoring system for an optical three-phase combined voltage transformer according to claim 7, characterized in that: The analysis module performs dynamic threshold analysis steps as follows: K1: Get the ambient temperature data near the inductor transformer , humidity data and wind speed data Calculate the mean and standard deviation of the acquired data, subtract the mean data from the detection data at the corresponding time point and divide it by the standard deviation data to obtain the standardized detection data, and record the standardized detection data as the standard detection data ; K2: Dynamic threshold of the corresponding item , is the original threshold value under the standard environment, is the sensitivity coefficient of the corresponding item, It is the real-time detection data of the corresponding item.
Citation Information
Patent Citations
Method and system for rapidly evaluating error characteristics of electronic transformer
CN109581269A
Intelligent motor junction box integrated multiparameter Internet of Things sensor
CN110426635A
Small leakage detection method based on cumulative sum algorithm
CN112559969A
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CN119445856A
Insulator with core rod monitoring function
CN119517525A