Optical three-phase integrated voltage transformer and intelligent monitoring system

Abstract

This invention discloses an optical three-phase integrated voltage transformer and intelligent monitoring system, belonging to the field of intelligent monitoring technology, including a U-shaped support frame. The invention prevents the junction box from shaking or shifting due to external forces through the cooperation of the U-shaped support frame, L-shaped fixing plate, and partition. Furthermore, the positioning cylinder, fixing screw, and arc-shaped positioning ring work together to position and fix the fixing seat from multiple angles and in all directions, achieving precise installation of the voltage transformer and solving the problems of loosening and lack of precise adjustment function. Through data analysis by the analysis module, preliminary judgment of the anomaly type is made, narrowing the fault diagnosis scope from "checking all components one by one" to "precise repair of the target component." Maintenance personnel can carry targeted tools, reducing the transportation of redundant spare parts and the rate of rework, thus improving maintenance efficiency. Dynamic thresholds automatically compensate for the effects of environmental and load fluctuations, reducing the false alarm rate.

Description

Technical Field

[0001] This 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 Technology

[0002] In modern power systems, three-phase integrated voltage transformers, as key equipment for power transformation, metering, and protection, are widely used in substations, distribution rooms, and other locations. They proportionally convert high voltage to low voltage, providing accurate voltage signals for power system metering instruments and relay protection devices, which is crucial for ensuring stable power system operation and improving the accuracy of energy metering. With the advancement of smart grid construction, higher requirements are being placed on the ease of installation, operational stability, and intelligent monitoring capabilities of voltage transformers.

[0003] The existing three-phase integrated voltage transformers have poor installation structure stability during use. As a result, the transformers are prone to loosening or even displacement due to environmental vibration, wind and other factors during long-term operation. This not only affects the accuracy of the voltage signal but also poses safety hazards. 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.

[0004] When a transformer malfunctions, maintenance personnel need to troubleshoot potential faults one by one. Each troubleshooting session is time-consuming, and prolonged troubleshooting may lead to extended periods of energized maintenance, increasing the risk of electric shock. During maintenance, due to unclear fault types, multiple spare parts may need to be carried to the site, increasing transportation burden and potentially leading to rework due to insufficient spare parts, impacting work efficiency. During intelligent monitoring, equipment vibration and temperature naturally rise during peak grid load periods, and fixed thresholds may misinterpret normal fluctuations as abnormalities. In the early stages of equipment aging, only minor parameter changes are observed; fixed thresholds, lacking dynamic adjustment, may fail to trigger alarms, causing the optimal maintenance window to be missed.

[0005] Therefore, the above-mentioned technical problems need to be addressed. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology by proposing an optical three-phase integrated voltage transformer and an intelligent monitoring system.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: an optical three-phase integrated voltage transformer and intelligent monitoring system, comprising a U-shaped support frame flush with both sides of the ground, a base horizontally placed on the upper end of the U-shaped support frame on both sides, the base and the U-shaped support frame being fixedly connected by bolts, and three positioning mechanisms equidistantly installed on the upper end of the base, each positioning mechanism having a fixing seat installed therein, and junction boxes equidistantly installed between the base and the U-shaped support frame at the lower end of the positioning mechanism, with fixing mechanisms installed at both ends of the junction boxes.

[0008] Preferably, a base plate is horizontally fixed to the lower part of the U-shaped support frame, and a partition is inserted between the three junction boxes equidistantly installed at the upper end of the base plate.

[0009] Preferably, the fixing mechanism includes a limiting plate horizontally installed at both ends of the junction box. L-shaped fixing pieces are installed on the upper and lower ends of both ends of the limiting plate. The L-shaped fixing pieces are fixedly connected to the U-shaped support frame and the partition by bolts, and the L-shaped fixing pieces are glued to the limiting plate.

[0010] Preferably, the positioning mechanism includes three positioning cylinders that are equidistantly fixed to the upper end of the base. Each positioning cylinder has four fixing blocks that are equidistantly fixed to its upper end. Each fixing block has a fixing screw horizontally positioned in the middle. The other end of the fixing screw is rotatably engaged with an arc-shaped positioning ring.

[0011] Preferably, a fixing seat is installed vertically on the inner side of the positioning cylinder, and the fixing seat is fixedly connected to the base by bolts.

[0012] Preferably, a voltage divider is fixedly connected to the upper end of the fixed base, and a current sensor is installed on the upper end of the voltage divider.

[0013] Preferably, the intelligent monitoring system includes a data acquisition module, an analysis module, and an execution module;

[0014] The data acquisition module collects vibration data, tilt angle data, equipment temperature data, and environmental data, and then transmits the collected data to the analysis module.

[0015] The analysis module analyzes the vibration data, tilt angle data, and equipment temperature data transmitted from the acquisition module, establishes a fluctuation range to filter out outliers, and compares the average of the remaining data for each item with the corresponding threshold to determine if an anomaly has occurred. If an anomaly is detected, an anomaly warning signal is generated for the corresponding item and transmitted to the execution module. If no anomaly is detected, the growth rate of the corresponding item is calculated. If it is determined that the corresponding item will exceed its threshold within a preset reaction time, an anomaly warning signal is generated for the corresponding item and transmitted to the execution module. The module also analyzes the environmental data transmitted from the acquisition module to obtain the dynamic threshold for the corresponding item in response to environmental changes.

[0016] After receiving the corresponding abnormal warning signal, the execution module performs the corresponding operation;

[0017] After receiving a vibration abnormality warning signal, the buzzer module in the control 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 includes the abnormality type, abnormality location and suggested operation.

[0018] After receiving the tilt angle abnormality warning signal, the buzzer module in the control intelligent control component will sound a buzzer warning and the yellow 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 includes the tilt angle and tilt position.

[0019] After receiving the warning signal for the corresponding item, a signal is sent to the maintenance personnel to remind them to go there in advance to perform maintenance operations during the scheduled maintenance period.

[0020] Preferably, the analysis steps for anomaly detection by the analysis module are as follows:

[0021] S1: Sort the data received from the acquisition module according to the acquisition time, divide it into segments according to the set time periods, and average the detection data in two adjacent time periods. and standard deviation The calculation, and the mean obtained from the calculation. and standard deviation Test data fluctuation range The setting, It is a positive integer;

[0022] S2: Mark the corresponding item's detection data that is outside the fluctuation range as outliers for that item, and count the number of outliers. Statistical analysis is performed to determine the total number of corresponding items detected within the corresponding time period. Then the numerical value Increment the count by one, then recount the outlier count until the required number of outliers is reached. numerical values The maximum value does not exceed the numerical value. The default value, This is the sequence number of the corresponding item. is the preset proportional coefficient;

[0023] S3: Analyze the historical data for the corresponding items, and analyze the data for each time period. The corresponding values ​​analyzed Record, record in the data set In the middle, if the corresponding value In the data set If the number of times it appears exceeds a preset proportion, then the value is determined. The default value is If no value appears more than the preset proportion; For the data set Average the data in the data. The calculation, using the calculated mean As a numerical value The default value;

[0024] S4: After removing outliers, calculate the mean of the remaining test data. The calculation, using the calculated mean This is recorded as the mean of the detection data for the corresponding time period; the mean of the corresponding item is... Compare with the preset threshold data for the corresponding item; if the mean of the corresponding item... If the data is greater than or equal to the preset threshold of the corresponding item, it is determined that the corresponding item is abnormal. An abnormal warning signal is generated based on the corresponding item and transmitted to the execution module.

[0025] S5: If the mean of the corresponding terms If the data is less than the preset threshold for the corresponding item, then the data closest to the current time period will be retrieved. Average of detection data over a time period The mean of the test data was arranged in chronological order, and then the difference between adjacent data points was calculated according to the sorting order. The calculation uses the difference to calculate the growth rate. , and These are the difference data between the corresponding time and the next time;

[0026] S6: Determine the mean of the detection data for the corresponding item at the current moment based on the growth rate. How long will it take to reach the preset threshold data for the corresponding item? It will then reach the threshold, and Then, a warning signal is generated based on the corresponding item, and the warning signal for the corresponding item is transmitted to the execution module. This is a preset proportional coefficient. This is the preset reaction time.

[0027] Preferably, the analysis module performs the dynamic threshold analysis steps as follows:

[0028] K1: Obtain ambient temperature data near the inductor transformer Humidity data Wind speed data The acquired data is processed by calculating the mean and standard deviation. The mean data is subtracted from the data at the corresponding time point, and then divided by the standard deviation to obtain the standardized test data. This standardized test data is recorded as the standard test data. ;

[0029] K2: Dynamic threshold of the corresponding term , The original threshold under standard conditions. The sensitivity coefficient for the corresponding term. This is the real-time detection data for the corresponding item.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] 1. The U-shaped support frame, L-shaped fixing plate and partition work together to prevent the junction box from shaking or shifting due to external forces, which improves the reliability and safety of the electrical connection of the equipment. This improves the accuracy of the voltage signal and prevents potential safety hazards. The positioning cylinder, fixing screw and arc positioning ring work together to facilitate multi-angle and all-round positioning and fixing of the fixing seat, which improves the reliability of the transformer operation and achieves precise installation of the voltage transformer. This solves the problems of easy loosening and lack of precise adjustment function.

[0032] 2. Through data analysis by the analysis module, a preliminary judgment of the anomaly type is made, narrowing the scope of fault investigation from "checking all components one by one" to "precise repair of the target component". Maintenance personnel can carry tools in a targeted manner, reducing the transportation of redundant spare parts and the rate of secondary rework, thereby improving maintenance efficiency; dynamic thresholds automatically compensate for the impact of environmental and load fluctuations, reducing the false alarm rate. Attached Figure Description

[0033] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0034] Figure 1 This is a schematic diagram of the overall three-dimensional structure proposed in this invention;

[0035] Figure 2 This is a schematic diagram of the overall three-dimensional structure of the other side proposed in this invention;

[0036] Figure 3 This is a schematic diagram of the overall three-dimensional structure proposed in this invention from a bottom-view perspective;

[0037] Figure 4 This is a schematic diagram of the partial overall three-dimensional structure proposed in this invention;

[0038] Figure 5 This is a schematic diagram of the front view structure proposed in this invention;

[0039] Figure 6 This is a flowchart of the system proposed in this invention.

[0040] The following items are listed in the diagram: 1. U-shaped support frame; 2. Base; 3. Partition plate; 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. Base plate. Detailed Implementation

[0041] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0042] Example: See Figure 1-6 The optical three-phase integrated voltage transformer and intelligent monitoring system of this invention includes U-shaped support frames 1 flush with both sides of the ground. A base 2 is horizontally placed on the upper end of the U-shaped support frames 1 on both sides. The base 2 and the U-shaped support frames 1 are fixedly connected by bolts. Three positioning mechanisms are equidistantly installed on the upper end of the base 2, each with a fixing seat 10. Junction boxes 5 are equidistantly installed between the base 2 and the U-shaped support frames 1 at the lower end of the positioning mechanisms. Fixing mechanisms are installed at both ends of the junction boxes 5. The U-shaped support frames 1 and the base 2 facilitate the construction of a stable foundation support structure. A base plate 14 is horizontally fixed slightly below the U-shaped support frames 1. A partition 3 is inserted between the three junction boxes 5 equidistantly installed on the upper end of the base plate 14. The junction boxes 5 and the partition 3 facilitate the separation of wiring, avoiding wiring confusion, and ensuring proper wiring... A voltage sensor is installed in junction box 5. The voltage sensor is an optical voltage sensor, and the voltage measurement error range can be controlled within ±0.2%. Compared with the ±0.5% error of traditional three-phase voltage transformers, the accuracy is improved by about 60%. The fixing mechanism includes limit plates 13 horizontally installed at both ends of junction box 5. L-shaped fixing pieces 4 are installed on the upper and lower ends of both ends of limit plates 13. The L-shaped fixing pieces 4 are fixedly connected to the U-shaped support frame 1 and the partition plate 3 by bolts. The L-shaped fixing pieces 4 and limit plates 13 are glued together. The L-shaped fixing pieces 4 and limit plates 13 are used to prevent shaking or displacement due to external forces, ensuring the reliability and safety of electrical connections. After long-term simulated operation tests, the voltage transformer can operate continuously and stably for more than 10,000 hours with a failure rate of less than 1%.

[0043] In this invention, the positioning mechanism includes three positioning cylinders 6 equidistantly fixed to the upper end of the base 2. Each positioning cylinder 6 has four fixing blocks 7 equidistantly fixed to its upper end. A fixing screw 8 is horizontally positioned in the middle of each fixing block 7, and an arc-shaped positioning ring 9 is rotatably engaged at the other end of the fixing screw 8. The fixing screw 8 and the arc-shaped positioning ring 9 facilitate multi-angle and omnidirectional positioning and fixing of the fixing seat 10. A fixing seat 10 is vertically installed inside the positioning cylinder 6 and is fixedly connected to the base 2 by bolts. The positioning cylinders 6 and the fixing seat 10 ensure the stability of the fixing seat 10 during operation, preventing vibration. Displacement caused by factors such as voltage divider 12 is fixedly connected to the upper end of the fixed base 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. It also converts the input high voltage into a low voltage signal proportionally, which is convenient for subsequent measurement, protection and control equipment. The current sensor 11 is an optical current sensor, and the current measurement error range is controlled within ±0.3%, which is about 57% more accurate than the ±0.7% error of traditional products.

[0044] The intelligent monitoring system includes a data acquisition module, an analysis module, and an execution module;

[0045] The data acquisition module collects vibration data, tilt angle data, equipment temperature data, and environmental data, and then transmits the collected data to the analysis module.

[0046] The analysis module analyzes the vibration data, tilt angle data, and equipment temperature data transmitted from the acquisition module, establishes a fluctuation range to filter out outliers, and compares the average of the remaining data for the corresponding item with the threshold of the corresponding item to determine whether an anomaly has occurred. If an anomaly is determined, an anomaly warning signal is generated for the corresponding item and transmitted to the execution module. If no anomaly is determined, 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 a preset reaction time, an anomaly warning signal is generated for the corresponding item and transmitted to the execution module.

[0047] MEMS triaxial accelerometers are installed on the outside of the fixed base and the housing of the positioning mechanism to monitor the vibration data of the structure. MEMS high-precision inclinometers are installed horizontally at the symmetrical position of the center 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.

[0048] The data received from the acquisition module is sorted according to the acquisition time and divided into segments according to a set time period. The average value of each detection data in two adjacent time periods is calculated. and standard deviation The calculation, and the mean obtained from the calculation. and standard deviation Test data fluctuation range The setting, The value is a positive integer; data points outside the fluctuation range are marked as outliers for the corresponding item, and the number of outliers is recorded. Statistical analysis is performed to determine the total number of corresponding items detected within the corresponding time period. Then the numerical value Increment the count by one, then recount the outlier count until the required number of outliers is reached. numerical values The maximum value does not exceed the numerical value. The default value, This is the sequence number of the corresponding item. is the preset proportional coefficient;

[0049] By calculating the mean of data in adjacent time periods and standard deviation Set the fluctuation range ,in For positive integers, this method is based on the normal distribution assumption, when At that time, it can cover 99.7% of normal data; if the number of outliers is... Exceeding the total data volume 10% This indicates that the fluctuation range is set too strictly and needs to be increased. The value continues until the condition is met;

[0050] Taking vibration data as an example, when an external instantaneous impact (such as a vehicle passing by) causes a jump in the data, the initial... Possible misjudgment of anomalies; increase through iteration. Up to level 3, this type of interference can be eliminated; actual measurement data from a substation shows that after 3 iterations, the accuracy of vibration anomaly identification increased from 65% to 92%; standard deviation Reflecting the degree of data dispersion, for a stable current transformer, vibration data... Normally <0.1g; when the bolt is loose, It will increase to over 0.3g, at which point the fluctuation range expands, allowing for more accurate identification of anomalies;

[0051] Analyze the historical data for the corresponding items, and analyze the data for each time period. The corresponding values ​​analyzed Record, record in the data set In the middle, if the corresponding value In the data set If the number of times it appears exceeds a preset proportion, then the value is determined. The default value is If no value appears more than the preset proportion; For the data set Average the data in the data. The calculation, using the calculated mean As a numerical value The default value;

[0052] After removing outliers, the mean of the remaining test data is calculated. The calculation, using the calculated mean This is recorded as the mean of the detection data for the corresponding time period; the mean of the corresponding item is... Compare with the preset threshold data for the corresponding item; if the mean of the corresponding item... If the data is greater than or equal to the preset threshold of the corresponding item, it is determined that the corresponding item is abnormal. An abnormal warning signal is generated based on the corresponding item and transmitted to the execution module.

[0053] After receiving the corresponding abnormal warning signal, the execution module performs the corresponding operation;

[0054] Upon receiving a vibration anomaly warning signal, the buzzer module within the control intelligent component emits a buzzer alarm, and the red light in the three-color indicator light illuminates. After the warning time reaches the set duration, an SMS message is sent to the maintenance personnel, including the anomaly type, anomaly location, and suggested actions. After the vibration anomaly triggers the red light to illuminate, the system waits 10 minutes (the set duration) before sending the SMS message to filter out momentary interference. For example, if a sudden vibration change is caused by a bird's brief stay, and the data returns to normal within 10 minutes, the alarm is canceled.

[0055] After receiving the tilt angle abnormality warning signal, the buzzer module in the control intelligent control component will sound a buzzer warning and the yellow 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 includes the tilt angle and tilt position.

[0056] Upon receiving an abnormal equipment temperature warning signal, the buzzer module within the intelligent control component emits a buzzer alarm, and the green light in the three-color indicator illuminates. After the warning time reaches the set duration, a high-temperature warning is sent to maintenance personnel, along with a temperature field cloud map generated by an infrared thermal imager. When the predicted temperature will reach the threshold within 30 days, the system automatically includes the equipment in the next week's maintenance plan and simultaneously pushes a spare parts list (such as 4 bolts and 1 piece of thermal grease) to the warehouse management system, improving spare parts preparation efficiency by 60%.

[0057] If the mean of the corresponding terms If the data is less than the preset threshold for the corresponding item, then the data closest to the current time period will be retrieved. Average of detection data over a time period The mean of the test data was arranged in chronological order, and then the difference between adjacent data points was calculated according to the sorting order. The calculation uses the difference to calculate the growth rate. , and These are the differences between the corresponding time point and the next time point; the mean of the detection data for the corresponding item at the current time point is determined based on the growth rate. How long will it take to reach the preset threshold data for the corresponding item? It will then reach the threshold, and Then, a warning signal is generated based on the corresponding item, and the warning signal for the corresponding item is transmitted to the execution module. This is a preset proportional coefficient. The preset reaction time;

[0058] After receiving the warning signal for 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 scheduled maintenance period.

[0059] If the detected anomalies are amplitude and temperature abnormalities, it is determined that the bolts used for fixing the connection at the fixed seat or positioning mechanism are loose; if the detected anomalies are vibration frequency and amplitude abnormalities, and the duration of the amplitude abnormality reaches the set time, it is determined that the resonance is caused by the simultaneous vibration of multiple structures; if the detected anomalies are amplitude and tilt angle abnormalities, it is determined that the tilt of the base causes the center of gravity of the equipment to shift, resulting in an aggravated vibration response.

[0060] Acquire environmental data near the inductor, including ambient temperature data. Humidity data Wind speed data The acquired data is processed by calculating the mean and standard deviation. The mean data is subtracted from the data at the corresponding time point, and then divided by the standard deviation to obtain the standardized test data. This standardized test data is recorded as the standard test data. ; Dynamic threshold of the corresponding item , The original threshold under standard conditions. The sensitivity coefficient for the corresponding term. This refers to the real-time detection data for the corresponding item;

[0061] Environmental data (such as temperature) Standardized to ( The mean, Standardization (using the standard deviation) can eliminate the influence of dimensions and unify the data scale. For example, ambient temperature (0-50℃) and humidity (0-100%RH), after standardization, are both converted into dimensionless values ​​in the range [-3,3], which facilitates integration with real-time data. Compare;

[0062] Taking temperature threshold as an example, , When the ambient temperature Standardized value (Assuming) 2, If the real-time temperature Then the dynamic threshold This calculation enables the threshold to adapt to the environment, avoiding false alarms in hot weather.

[0063] Obtained by fitting historical data For example, regression analysis of 100 sets of high-temperature operating condition data showed a linear relationship between the temperature threshold and the ambient temperature with a slope of 0.5, thus determining... This coefficient allows threshold adjustments to match the actual temperature rise characteristics of the equipment, improving monitoring accuracy. Data should be collected covering at least one full year (including seasonal environmental changes), encompassing both normal and abnormal operating conditions. After removing outliers, the corresponding data should be divided into several intervals. The reasonable threshold ranges for monitoring items within different intervals should be statistically analyzed, using the corresponding environmental factors as independent variables. Reasonable thresholds for monitoring items are the dependent variables. A linear relationship is fitted using the least squares method: ,get The specific value.

[0064] Working Principle: In the use of this invention, the U-shaped support frame 1 and the base 2 first facilitate the construction of a basic support structure, and the base plate 14 further enhances the stability of the equipment, while providing an installation base for components such as the junction box 5. Then, the limiting plate 13 facilitates the fixing of the junction box 5 to the base plate 14, and the L-shaped fixing piece 4 secures the junction box. The partition 3 between the junction boxes 5 not only serves as a separator but also prevents wiring confusion. Then, the positioning cylinder 6 facilitates the determination of the installation position of the fixing seat 10, and finally, the fixing seat 10 is secured with bolts. Precise installation is performed, and then the arc-shaped positioning ring 9 is tightly fitted to the fixing seat 10 by rotating the fixing screw 8, thereby positioning and fixing the fixing seat 10 from multiple angles and in all directions. This ensures that the fixing seat 10 remains stable during operation and avoids displacement due to vibration and other factors, thus ensuring the reliability of the voltage transformer operation. Then, through the voltage divider 12 and the current sensor 11, the current in the circuit can be monitored in real time, and the current signal is converted into an electrical signal output. The high voltage input is proportionally converted into a low voltage signal, which is convenient for subsequent measurement, protection and control equipment.

[0065] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent monitoring system for an optical three-phase integrated voltage transformer, characterized in that: The intelligent monitoring system includes a data acquisition module, an analysis module, and an execution module; The data acquisition module collects vibration data, tilt angle data, equipment temperature data, and environmental data, and then transmits the collected data to the analysis module. The analysis module analyzes the vibration data, tilt data, and equipment temperature data transmitted from the acquisition module, establishes a fluctuation range to filter out outliers, and determines whether an anomaly has occurred by comparing the mean of the remaining data for the corresponding item with the threshold for the corresponding item. The analysis steps for anomaly detection in the analysis module are as follows: S1: Sort the data received from the acquisition module according to the acquisition time, divide it into segments according to the set time periods, and average the detection data in two adjacent time periods. and standard deviation The calculation, and the mean obtained from the calculation. and standard deviation Test data fluctuation range The setting, It is a positive integer; S2: Mark the corresponding item's detection data that is outside the fluctuation range as outliers for that item, and count the number of outliers. Statistical analysis is performed to determine the total number of corresponding items detected within the corresponding time period. Then the numerical value Increment the count by one, then recount the outlier count until the required number of outliers is reached. numerical values The maximum value does not exceed the numerical value. The default value, This is the sequence number of the corresponding item. is the preset proportional coefficient; S3: Analyze the historical data for the corresponding items, and analyze the data for each time period. The corresponding values ​​analyzed Record, record in the data set In the middle, if the corresponding value In the data set If the number of times it appears exceeds a preset proportion, then the value is determined. The default value is If no value appears more than the preset proportion; For the data set Average the data in the data. The calculation, using the calculated mean As a numerical value The default value; S4: After removing outliers, calculate the mean of the remaining test data. The calculation, using the calculated mean This is recorded as the mean of the detection data for the corresponding time period; the mean of the corresponding item is... Compare with the preset threshold data for the corresponding item; if the mean of the corresponding item... If the data is greater than or equal to the preset threshold of the corresponding item, it is determined that the corresponding item is abnormal. An abnormal warning signal is generated based on the corresponding item and transmitted to the execution module. S5: If the mean of the corresponding terms If the data is less than the preset threshold for the corresponding item, then the data closest to the current time period will be retrieved. Average of detection data over a time period The mean of the test data was arranged in chronological order, and then the difference between adjacent data points was calculated according to the sorting order. The calculation uses the difference to calculate the growth rate. , and These are the difference data between the corresponding time and the next time; S6: Determine the mean of the detection data for the corresponding item at the current moment based on the growth rate. How long will it take to reach the preset threshold data for the corresponding item? It will then reach the threshold, and Then, a warning signal is generated based on the corresponding item, and the warning signal for the corresponding item is transmitted to the execution module. This is a preset proportional coefficient. The preset reaction time; After receiving the corresponding abnormal warning signal, the execution module performs the corresponding operation.

2. The intelligent monitoring system for the optical three-phase integrated voltage transformer according to claim 1, characterized in that: The execution steps of the execution module are as follows: P1: After receiving the vibration abnormality warning signal, the buzzer module in the control intelligent 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 includes the abnormality type, abnormality location and suggested operation. P2: After receiving the tilt angle abnormality warning signal, the buzzer module in the control intelligent component will sound a buzzer warning and the yellow 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 includes the tilt angle and tilt position. P3: After receiving the warning signal for the corresponding item, send a signal to the maintenance personnel to remind them to go and perform maintenance operations in advance during the scheduled maintenance period.

3. An optical three-phase integrated voltage transformer as described in claim 1, characterized in that: It includes a U-shaped support frame (1) that is flush with both sides of the ground. A base (2) is placed horizontally on the upper end of the U-shaped support frame (1) on both sides. The base (2) and the U-shaped support frame (1) are fixedly connected by bolts. Three positioning mechanisms are installed at equal intervals on the upper end of the base (2). A fixing seat (10) is installed in the positioning mechanism. A junction box (5) is installed at equal intervals between the base (2) and the U-shaped support frame (1) at the lower end of the positioning mechanism. A fixing mechanism is installed at both ends of the junction box (5).

4. The optical three-phase integrated voltage transformer according to claim 3, characterized in that: A base plate (14) is fixed horizontally to the lower part of the U-shaped support frame (1), and a partition plate (3) is inserted between the three junction boxes (5) installed at equal intervals on the upper end of the base plate (14).

5. The optical three-phase integrated voltage transformer according to claim 3, characterized in that: The fixing mechanism includes a limiting plate (13) horizontally installed at both ends of the junction box (5). L-shaped fixing pieces (4) are installed on the upper and lower ends of both ends of the limiting plate (13). The L-shaped fixing pieces (4) are fixedly connected to the U-shaped support frame (1) and the partition plate (3) by bolts, and the L-shaped fixing pieces (4) are glued to the limiting plate (13).

6. The optical three-phase integrated voltage transformer according to claim 3, characterized in that: The positioning mechanism includes three positioning cylinders (6) that are equidistantly fixed to the upper end of the base (2). Each positioning cylinder (6) has four fixing blocks (7) equidistantly fixed to its upper end. Each fixing block (7) has a fixing screw (8) horizontally arranged in the middle. The other end of the fixing screw (8) is rotatably engaged with an arc-shaped positioning ring (9).

7. The optical three-phase integrated voltage transformer according to claim 6, characterized in that: 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.

8. The optical three-phase integrated voltage transformer according to claim 7, characterized in that: A voltage divider (12) is fixedly connected to the upper end of the fixed base (10), and a current sensor (11) is installed on the upper end of the voltage divider (12).

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