Method and system for intelligently inspecting transformer

Abstract

The invention discloses an intelligent transformer inspection method and system, and the method comprises the steps: S1, collecting the operation parameters of a transformer, the operation parameters of the transformer comprise the node temperature of a transformer busbar, the transformer oil temperature, the transformer oil level, and the smoke concentration of a transformer room; s2, transmitting the transformer operation parameters to a transformer monitoring cloud platform, and enabling the transformer monitoring cloud platform to carry out the judgment according to a preset condition, obtaining the abnormal data, and giving an alarm. Through the automatic data collection and cloud platform technology, the space-time limitation of the conventional manual inspection is broken through, and the full-life-cycle management of the state of equipment is realized; and high-reliability power supply guarantee is provided for the float glass production line.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer monitoring, and in particular to a method and system for intelligently inspecting transformers. Background Art

[0002] Transformers are the core power supply equipment in float glass production lines. Their operational safety and stability directly determine the line's continuous operation capacity and annual output. Currently, float glass plants generally use a distributed, independent deployment of oil-immersed transformers. This installation model makes centralized monitoring of equipment operating status difficult, making transformer operation and maintenance a critical constraint on production reliability.

[0003] The existing operation and maintenance method mainly relies on manual on-site inspections, which regularly conduct discrete tests on parameters such as smoke concentration in the transformer room, transformer oil temperature, oil level, and busbar temperature. This model has significant defects: (1) Lack of timeliness: Status blind spots within the inspection interval lead to the inability to capture hidden dangers such as abnormal temperature rise and oil level drop in equipment, and fault warnings are delayed. (2) Data chain breakage: Manual records cannot achieve continuous storage of operating parameters, and the lack of historical data hinders trend analysis and fault tracing. (3) Insufficient decision support: Discrete data makes it difficult to generate dynamic reports, managers lack visual decision-making basis, and there is no basis for fault prevention and energy efficiency optimization.

[0004] To address the above pain points, there is an urgent need to develop an oil-immersed transformer monitoring and intelligent operation and maintenance system. Through automated data collection, edge computing and cloud platform technologies, it can break through the time and space limitations of traditional manual inspections, realize the full life cycle management of equipment status, and provide high-reliability power supply guarantee for float glass production lines. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for intelligent transformer inspection to solve the problems of lack of timeliness, broken data links, and insufficient decision support in manual on-site inspections in the prior art, and to achieve full life cycle management of transformer equipment status.

[0006] In a first aspect, the present invention provides a method for intelligently inspecting a transformer, comprising the following steps: Collecting transformer operating parameters, including transformer busbar node temperature, transformer oil temperature, transformer oil level, and transformer room smoke concentration; The transformer operating parameters are transmitted to the transformer monitoring cloud platform, and the transformer monitoring cloud platform makes judgments according to preset conditions, obtains abnormal data and issues an alarm.

[0007] Preferably, the method for collecting transformer operating parameters includes: Install busbar wireless temperature sensors at the junctions of the three-phase output terminals of the transformer and the low-voltage busbar, and use the busbar wireless temperature sensors to collect the node temperatures of the transformer busbars; Replace the probe temperature sensor in the transformer's crude oil tank with an oil temperature detector, and use the oil temperature detector to collect transformer oil temperature data; An oil level gauge is installed on the oil pillow of the transformer, and the oil level data of the transformer is collected by using the oil level gauge; A smoke sensor is installed on the wall of the transformer room, and the smoke concentration data of the transformer room is collected by using the smoke sensor.

[0008] Preferably, the transformer operating parameters are transmitted to the transformer monitoring cloud platform through an intelligent gateway; the transmission modes between the transformer and the transformer monitoring cloud platform include: 485 bus, optical fiber, 4G and Ethernet.

[0009] Preferably, the preset conditions include: an alarm threshold of transformer room smoke concentration, an alarm threshold of transformer busbar node temperature, an alarm threshold of transformer oil level, and an alarm threshold of transformer oil temperature.

[0010] Furthermore, the alarm threshold of the transformer room smoke concentration ranges from 1.184% / m3 to 2.016% / m3. When the transformer room smoke concentration reaches or exceeds the alarm threshold, a transformer room smoke concentration excessive alarm is triggered.

[0011] Furthermore, the alarm threshold of the transformer busbar node temperature is 60° C. When the transformer busbar node temperature is ≥60° C., an alarm for excessively high transformer busbar node temperature is triggered.

[0012] Furthermore, the alarm threshold of the transformer oil level is 0. When the transformer oil level is ≤0 pointer, a transformer oil level low alarm is triggered.

[0013] Furthermore, the alarm threshold of the transformer oil temperature is 65°C. When the transformer oil temperature is ≥65°C, a transformer oil temperature over-high alarm is triggered.

[0014] In a second aspect, the present invention provides a system for intelligently inspecting transformers, the system comprising: A data acquisition unit is configured to collect operating parameters of the transformer; the operating parameters of the transformer include node temperature of the transformer busbar, transformer oil temperature, transformer oil level and smoke concentration in the transformer chamber; The transformer monitoring cloud platform is configured to receive the transformer operating parameters, make judgments according to preset conditions, obtain abnormal data and issue an alarm.

[0015] Preferably, the preset conditions include: an alarm threshold of transformer room smoke concentration, an alarm threshold of transformer busbar node temperature, an alarm threshold of transformer oil level, and an alarm threshold of transformer oil temperature.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention breaks through the time and space limitations of traditional manual inspections through automated data collection and cloud platform technology, realizes full lifecycle management of equipment status, and provides high-reliability power supply guarantee for float glass production lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of a method for intelligent transformer inspection; Figure 2 Collect point layout diagrams for each transformer; Figure 3 Network diagram for each transformer; Figure 4 This is the global network diagram of the transformer; Figure 5 It is the operation interface of the transformer monitoring cloud platform; Figure 6 Display interface diagram for alarm events; Figure 7 Display detailed interface diagram for alarm events; Figure 8 This is the interface diagram of the unprocessed alarm information; Figure 9 This is the processed alarm information interface diagram; Figure 10 This is the schematic diagram of the cooling fan start and stop; Figure 11 This is the cooling fan start and stop flow chart.

[0018] In the attached figure, the devices represented by each reference numeral are as follows: 1. Smoke sensor; 2. On-site data acquisition box; 3. Oil temperature detector with RS485 communication interface; 4. Cooling fan; 5. Busbar wireless temperature sensor; 6. Oil level gauge. DETAILED DESCRIPTION

[0019] The present invention will be further described in detail below with reference to specific embodiments. However, this should not be construed as limiting the scope of the present invention to the following embodiments, as all technologies implemented based on the present invention fall within the scope of the present invention.

[0020] Unless otherwise specified, in the description of the specific embodiments of the present invention, the terms indicating the orientation or positional relationship, such as "upper", "lower", "left", "right", "center", "inside", and "outside", are based on the expressions of the orientation or positional relationship shown in the accompanying drawings, or are the orientation or positional relationship in which the invented product / device / apparatus is placed when it is conventionally used. These terms of orientation or positional relationship are merely for the purpose of facilitating the description of the scheme of the present invention or simplifying the description of the specific embodiments to facilitate the rapid understanding of the scheme by technicians, and do not indicate or imply that a specific device / component / element must have a specific orientation, or be constructed and operated in a specific positional relationship, and therefore should not be understood as limiting the present invention.

[0021] In addition, if the terms "horizontal", "vertical", "overhanging", "parallel" and the like appear, it does not mean that the corresponding devices / components / elements are required to be absolutely horizontal or vertical or overhanging or parallel, but may be slightly tilted or have deviations. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but may be slightly tilted. Alternatively, it can be simply understood that the corresponding devices / components / elements are set in directions such as "horizontal", "vertical", "overhanging", and "parallel", and can have an error / deviation of ±10% relative to the corresponding direction setting, more preferably an error / deviation within ±8%, more preferably an error / deviation within ±6%, more preferably an error / deviation within ±5%, and more preferably an error / deviation within ±4%. As long as the corresponding device / component / element is within the error / deviation range, it can still achieve its role in the solution of the present invention.

[0022] In addition, the expressions “first”, “second”, “third”, etc. in the terms are merely used to distinguish the description of the same or similar components, and should not be understood as emphasizing or implying the relative importance of specific components.

[0023] In addition, in the description of the embodiments of the present invention, "several," "plurality," and "a number" represent at least two. It can also be any number such as two, three, four, five, six, seven, eight, nine, or even more than nine.

[0024] Furthermore, in the description of the technical solution of the present invention, unless otherwise expressly specified, defined, or limited, the terms "disposed," "installed," "connected," "connected," "provided with," "laid," and "arranged" should be understood broadly. For example, they may refer to fixed connections, detachable connections, or integral connections. They may be welded, riveted, bolted, threaded, or other commonly used connection methods in the art. Such connections may be mechanical, electrical, or communicative; they may be direct, indirect via an intermediate medium, or internally connected between two components.

[0025] Example 1 Attachment Figure 1 This is a flow chart of a method for intelligent transformer inspection provided by the present invention, and the specific steps include the contents described in the following steps S1 to S2.

[0026] S1: Collecting transformer operating parameters, including transformer busbar node temperature, transformer oil temperature, transformer oil level, and transformer room smoke concentration; S2: The transformer operating parameters are transmitted to the transformer monitoring cloud platform, and the transformer monitoring cloud platform makes judgments according to preset conditions, obtains abnormal data and issues an alarm.

[0027] Optionally, the collected transformer operating parameters include (for each transformer): the temperatures of three nodes of the transformer busbar, one transformer oil temperature monitoring point, one transformer oil level monitoring point, and one transformer room smoke detection point, for a total of six points.

[0028] Attachment Figure 2 A layout diagram of data collection points was prepared for each transformer. Each transformer adopted the same data collection method, and the data collection device models were: busbar wireless temperature detector JOE300NC (with matching busbar wireless temperature sensor), transformer oil temperature detector model BWY-803AG (with matching digital display meter XST-1210), oil level gauge YZF2-140TH, and smoke sensor model RS-YG-N01 / R01.

[0029] Specifically, it includes: installing a busbar wireless temperature sensor directly above the connection point between the low-voltage busbar and the three-phase output terminals of the transformer A, B, and C, using the busbar wireless temperature sensor to collect the node temperature of the transformer busbar, and transmitting the collected data to the busbar wireless temperature detector; if additional collection and detection points need to be added, they can be installed at the connection point of the low-voltage or high-voltage busbar.

[0030] Replace the probe temperature sensor (PT100) in the transformer crude oil tank with an oil temperature detector, and use the oil temperature detector to collect transformer oil temperature data; add a cooling fan, when the transformer oil temperature detection data When the oil temperature is less than 60℃, the on-site cooling fan will automatically start to cool the transformer. When the transformer oil temperature is ≤55℃, the cooling fan will automatically stop running.

[0031] An oil level gauge is installed on the left oil pillow of the transformer, and the oil level data of the transformer is collected using the oil level gauge. If additional collection and detection points are required, an oil level gauge can be installed on the right oil pillow of the transformer.

[0032] A smoke sensor is installed on the wall of the transformer room. The smoke sensor is used to collect smoke concentration data in the transformer room to determine whether a fire has occurred in the transformer room. If additional collection and detection points are needed, smoke sensors can be installed at different locations in the transformer room.

[0033] The above data will be collected in the on-site data collection box, which connects to various sensors through its built-in interface and converts the analog or digital signals output by the sensors into digital data that can be processed by the computer.

[0034] Attachment Figure 3 The network diagram of each transformer is attached. Figure 4 This is a global transformer networking diagram (there is no data exchange between transformer rooms, and each transformer room only communicates data with the main control room; the equipment in each transformer room is identified by a unique communication address, and the address is used to distinguish the equipment). The transmission methods of the collected data include: For transformers within 1 km of the smart gateway, four independent RS485 buses are used to transmit transformer busbar temperature, transformer oil temperature, transformer oil level, and transformer smoke data to the intelligent communication gateway iSmartGate 2. The intelligent gateway forwards the data to the transformer monitoring cloud platform via 4G or Ethernet. (Because the maximum transmission distance of the RS485 bus is affected by many factors, the theoretical limit is about 1200 meters, but in practice it is usually much lower than this value. The RS485 bus used in this invention supports two baud rates: 4800bps and 9600bps, and can transmit normally within 1 km.) For transformers located more than 1 km away from the smart gateway, a serial-to-fiber converter is used to convert sensor data into optical signals. After being transmitted to the main control room via optical fiber, the data is converted back into Ethernet electrical signals and connected to the intelligent communication gateway iSmartGate 2. The intelligent gateway forwards the data to the transformer monitoring cloud platform via 4G or Ethernet.

[0035] Specifically, three busbar wireless temperature detectors and a temperature display host are installed in each transformer room. The detectors use LoRa wireless transmission to establish point-to-point communication with the host, exchanging data. The host then transmits this data to the iSmartGate 2 intelligent gateway via RS485. A smoke sensor is installed in each transformer room to monitor fire hazards. When smoke concentration exceeds the normal value, an alarm signal is generated, which is then transmitted to the iSmartGate 2 intelligent gateway via RS485. An oil temperature detector is also installed in each transformer room to monitor oil temperature, and oil temperature data is transmitted to the iSmartGate 2 intelligent gateway via RS485. An oil level gauge is also installed in each transformer room. If the oil level is too low, an alarm signal is generated and output via dry contacts to the iSmartGate 2 intelligent gateway. The intelligent gateway collects all signals and forwards them to the transformer monitoring cloud platform via 4G or Ethernet.

[0036] Attachment Figure 5 This is the operating interface of the transformer monitoring cloud platform, which performs the following functions: Monitor transformer operating parameters and store historical data; Provide historical data query, equipment trend curve analysis and alarm information management; Set the upper or lower threshold of each parameter. When the detection value exceeds the upper threshold or falls below the lower threshold, an alarm signal is generated and pushed to relevant personnel through the network; Export the alarm event log table to a local storage device.

[0037] The alarm event display interface is shown in the attached figure Figure 6 、 7 As shown in the figure, the alarm information includes alarm time, device name, event type and alarm level, as shown in the attached Figure 8 、 9 shown.

[0038] The alarm signal push is set to: when the smoke concentration data is higher than the set value, the smoke concentration alarm is triggered; when the busbar temperature is higher than the set value, the busbar temperature alarm is triggered; when the transformer oil level is lower than the set value, the transformer oil level alarm is triggered; when the transformer oil temperature is higher than the set value, the transformer oil temperature alarm is triggered.

[0039] Specifically, when the smoke concentration in the transformer room reaches or exceeds 1.184% / m~2.016% / m (i.e., the reference value is 1.6% / m, with an allowable deviation of ±26%Ft), the transformer room smoke concentration alarm is triggered to determine whether a fire has occurred in the transformer room (1.6% / m is the smoke alarm action sensitivity value, and ±26%Ft is the set allowable sensitivity fluctuation range, i.e., the sensitivity reference value fluctuates within the range of 1.184% / m~2.016% / m. The action sensitivity reference value here is the technical indicator for smoke alarm selection, which can also be determined based on the transformer room). Select different types of smoke alarms for actual environments); when the transformer busbar node temperature is ≥60°C, the transformer busbar node temperature alarm is triggered (60°C is the maximum busbar temperature warning threshold set based on the transformer operating temperature requirements and the actual environmental conditions of the transformer room); when the transformer oil level is ≤0, the transformer oil level low alarm is triggered ("0" is the minimum oil level warning threshold determined by the installation position of the oil level gauge); when the transformer oil temperature is ≥65°C, the transformer oil temperature high alarm is generated (65°C is the maximum oil temperature warning threshold required by the transformer's technical indicators).

[0040] The method for processing excessive transformer oil temperature includes: When the transformer oil temperature is ≥60℃, the on-site cooling fan will be automatically started; When the transformer oil temperature is ≥65℃, the maintenance personnel's on-site handling process is triggered.

[0041] Specifically, when the transformer oil temperature is ≥60℃, the cooling fan will automatically start to cool down (60℃ is the fan start threshold set based on the transformer use technical indicators and the actual environmental conditions of the transformer room); when the transformer oil temperature is ≤55℃, the fan will automatically stop running (55℃ is the optimal oil temperature threshold based on the transformer technical indicators) (see the attached diagram for the cooling fan start and stop principle). Figure 10 , see the attached startup flow chart Figure 11 If the transformer oil temperature is ≥65°C, the system will issue an alarm, requiring maintenance personnel to intervene. The cooling fan has two control modes: automatic and manual. In automatic mode, the digital temperature controller automatically controls the contactor according to the set temperature, starting and stopping the cooling fan (starting when the transformer oil temperature is ≥60°C and stopping when it is ≤55°C). In manual mode, the operator can start the cooling fan with button SB1 and stop it with button SB2.

[0042] Based on the same inventive concept, an embodiment of the present invention further provides a system for intelligently inspecting transformers, comprising: A data acquisition unit is configured to collect operating parameters of the transformer in real time; the operating parameters of the transformer include node temperature of the transformer busbar, transformer oil temperature, transformer oil level and smoke concentration in the transformer chamber; The transformer monitoring cloud platform is configured to receive the transformer operating parameters, make judgments according to preset conditions, obtain abnormal data and issue an alarm.

[0043] The preset conditions include: an alarm threshold for transformer room smoke concentration, an alarm threshold for transformer busbar node temperature, an alarm threshold for transformer oil level, and an alarm threshold for transformer oil temperature.

[0044] The data acquisition unit supports dynamic expansion, and can add similar monitoring points and sensor types without changing the system architecture. It can also add other types of monitoring points and sensor types by partially adjusting the system architecture.

[0045] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent inspection of transformers, characterized in that the steps include: Collecting transformer operating parameters, including transformer busbar node temperature, transformer oil temperature, transformer oil level, and transformer room smoke concentration; The transformer operating parameters are transmitted to the transformer monitoring cloud platform, and the transformer monitoring cloud platform makes judgments according to preset conditions, obtains abnormal data and issues an alarm.

2. The method for intelligent transformer inspection according to claim 1, characterized in that: The method for collecting transformer operating parameters includes: Install busbar wireless temperature sensors at the junctions of the three-phase output terminals of the transformer and the low-voltage busbar, and use the busbar wireless temperature sensors to collect the node temperatures of the transformer busbars; Replace the probe temperature sensor in the transformer's crude oil tank with an oil temperature detector, and use the oil temperature detector to collect transformer oil temperature data; An oil level gauge is installed on the oil pillow of the transformer, and the oil level data of the transformer is collected by using the oil level gauge; A smoke sensor is installed on the wall of the transformer room, and the smoke concentration data of the transformer room is collected by using the smoke sensor.

3. The method for intelligent transformer inspection according to claim 1, characterized in that: The transformer operating parameters are transmitted to the transformer monitoring cloud platform through the intelligent gateway; the transmission methods between the transformer and the transformer monitoring cloud platform include: 485 bus, optical fiber, 4G and Ethernet.

4. The method for intelligent transformer inspection according to claim 1, characterized in that: The preset conditions include: an alarm threshold for transformer room smoke concentration, an alarm threshold for transformer busbar node temperature, an alarm threshold for transformer oil level, and an alarm threshold for transformer oil temperature.

5. The method for intelligent transformer inspection according to claim 4, characterized in that: The alarm threshold of the transformer room smoke concentration ranges from 1.184% / m3 to 2.016% / m3. When the transformer room smoke concentration reaches or exceeds the alarm threshold, a transformer room smoke concentration excessive alarm is triggered.

6. The method for intelligent transformer inspection according to claim 4, characterized in that: The alarm threshold of the transformer busbar node temperature is 60°C. When the transformer busbar node temperature is ≥60°C, the transformer busbar node overtemperature alarm is triggered.

7. The method for intelligent transformer inspection according to claim 4, characterized in that: The transformer oil level alarm threshold is 0. When the transformer oil level is less than or equal to the 0 pointer, the transformer oil level low alarm is triggered.

8. The method for intelligent transformer inspection according to claim 4, characterized in that: The transformer oil temperature alarm threshold is 65°C. When the transformer oil temperature is ≥65°C, the transformer oil temperature alarm is triggered.

9. An intelligent transformer inspection system, characterized in that: For implementing the method according to any one of claims 1 to 8, the system comprises: A data acquisition unit is configured to collect operating parameters of the transformer; the operating parameters of the transformer include node temperature of the transformer busbar, transformer oil temperature, transformer oil level and smoke concentration in the transformer chamber; The transformer monitoring cloud platform is configured to receive the transformer operating parameters, make judgments according to preset conditions, obtain abnormal data and issue an alarm.

10. The intelligent transformer inspection system according to claim 9, characterized in that: The preset conditions include: an alarm threshold for transformer room smoke concentration, an alarm threshold for transformer busbar node temperature, an alarm threshold for transformer oil level, and an alarm threshold for transformer oil temperature.

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