Epoxy resin insulation dry-type transformer and noise detection method thereof
The automated noise detection system has solved the problem of excessive noise from dry-type power transformers affecting power operation, enabling intelligent noise management and timely handling, and ensuring the normal operation of the transformers and the efficiency of environmental management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN SHENTEBIAN ELECTRICAL EQUIP CO LTD
- Filing Date
- 2024-02-29
- Publication Date
- 2026-07-10
AI Technical Summary
Existing dry-type power transformers are too noisy and affect power operation during maintenance. Current management relies on manual inspection, which causes delays in power usage.
It employs a noise acquisition module, an information processing module, an adjustment and distribution module, a decibel statistics module, and an after-sales maintenance module to achieve automated noise detection and processing, and uses intelligent sensors to detect and automatically handle anomalies.
The system enables automated noise detection and processing of dry-type transformers, ensuring normal transformer operation, improving environmental management efficiency, and avoiding wasted electricity usage time.
Smart Images
Figure CN118098793B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of dry-type transformer control technology, and more specifically, relates to an epoxy resin insulated dry-type transformer and its noise detection method. Background Technology
[0002] Existing dry-type power transformers are high-strength, high-mechanical-strength, and high-heat-resistant transformers, making them excellent products for urban power grid upgrades. They are particularly suitable for important locations requiring fire prevention, explosion prevention, and moisture protection, such as high-rise buildings, airports, power plants, and commercial centers. However, they often experience excessive noise, which, if not repaired promptly, can affect the surrounding environment. Furthermore, repairs can disrupt related power operations. Timely prevention, detection, and control of problems would greatly benefit power output and the surrounding environment. Currently, the management of dry-type transformers relies on manual problem detection, power outages for inspection, and repairs, which disrupts normal transformer operation and delays power supply. Summary of the Invention
[0003] To address the shortcomings of existing technologies, the present invention aims to provide an epoxy resin insulated dry-type transformer and its noise detection method. By setting up a noise acquisition module, an information processing module, an adjustment and distribution module, a decibel statistics module, and an after-sales maintenance module, the transformer can automatically calculate noise levels and determine whether they exceed the standard, automatically detect and handle abnormal noise, achieve automated detection and processing, avoid disrupting residents' electricity usage time, ensure transformer operation, improve environmental management efficiency, and realize intelligent network control.
[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0005] A noise detection method for epoxy resin insulated dry-type transformers is applied to a noise detection and control system for epoxy resin insulated dry-type transformers. The system includes a noise acquisition module, an information processing module, an adjustment and distribution module, a decibel statistics module, an after-sales maintenance module, a wireless communication module, an alarm, a memory, a processing center, and a smartphone. The noise acquisition module, information processing module, adjustment and distribution module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory are all connected to the processing center. The smartphone automatically forms a wireless network with the wireless communication module within the range of the Internet of Things (IoT) or the Internet.
[0006] If the total noise level obtained by the alarm is higher than the standard decibel threshold for the transformer's operation stored in the memory, it indicates that the transformer noise is abnormal and will automatically issue an audible alarm while notifying the after-sales maintenance module for handling.
[0007] The wireless communication module is equipped with an Internet of Things (IoT) unit, which can automatically form a network within the range of IoT or Internet and connect to the wireless network of a smartphone to be responsible for sending and receiving wireless network signals.
[0008] The memory is responsible for storing information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and the standard decibel threshold for transformer operation noise.
[0009] The processing center is responsible for transmitting information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory. It is the system hub. It compares the total noise decibel value obtained with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing.
[0010] The noise acquisition module acquires noise information of the dry-type transformer by installing a noise meter on the transformer, and then processes the information.
[0011] The information processing module combines the first sample noise decibel value and the second sample noise decibel value obtained from the same type of standard transformer in the same time period into several noise data groups, and transmits them to the adjustment and allocation module.
[0012] The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first decibel value and the second decibel value, respectively, and allocates them to several noise data groups to form new data groups, and then transmits them to the decibel statistics module.
[0013] The decibel statistics module includes an area calculation unit, a sound source calculation unit, an attenuation coefficient unit, an attenuation calculation unit, and a noise calculation unit. It aggregates and processes new data groups using a noise processing algorithm and obtains the total decibel value of the noise at the detection location using the noise calculation formula: “C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total sound source noise, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the attenuation due to air absorption, Ag is the attenuation due to ground absorption, Ab is the attenuation due to sound barriers, Am is the attenuation due to meteorological conditions, and S is the total surface area of the transformer”. This value is then transmitted to the processing center.
[0014] The after-sales maintenance module includes a short-circuit abnormality unit, a load abnormality unit, a cable tray abnormality unit, and a component abnormality unit. By using intelligent sensors installed in relevant parts of the dry-type transformer, it can check or handle noise abnormalities of the dry-type transformer one by one to ensure the normal operation of the dry-type transformer.
[0015] This invention provides a noise detection method for epoxy resin insulated dry-type transformers, comprising the following steps:
[0016] S10. When noise occurs, the noise acquisition module controls the noise information acquisition module to acquire the noise information of the dry-type transformer through the noise meter installed on the transformer, and then processes the information.
[0017] S20. The information processing module combines the first sample noise decibel value and the second sample noise decibel value of the same type of standard transformer obtained in the same time period into several noise data groups. This allows for effective comparison with the noise decibel value of the actual tested transformer and transmits it to the adjustment and allocation module.
[0018] S30. The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first decibel value and the second decibel value, respectively, and allocates them to several noise data groups to form new data groups, and then passes them to the decibel statistics module.
[0019] The S40 decibel statistics module collects and processes the new data group data through a noise processing algorithm and uses the noise calculation formula at the detection location, "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total noise level of the sound source, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the sound wave attenuation due to air absorption, Ag is the sound wave attenuation due to ground absorption, Ab is the sound barrier attenuation, Am is the sound wave attenuation due to meteorological conditions, and S is the total surface area of the transformer", to obtain the total decibel value of the noise and transmits it to the processing center.
[0020] S50. The processing center compares the obtained total noise decibel value with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing.
[0021] The S60 after-sales maintenance module uses intelligent sensors installed in relevant parts of the dry-type transformer to check or handle abnormal noise of the dry-type transformer one by one, so as to ensure the normal operation of the dry-type transformer.
[0022] Furthermore, step S40 includes the following steps:
[0023] S41. The area calculation unit obtains the total surface area S of the transformer according to the formula for calculating the total surface area of the transformer: "S=2(a*b+a*h+b*h), where S is the total surface area of the transformer, a is the length of the transformer, b is the width of the transformer, and h is the height of the transformer", and transmits it to the sound source calculation unit.
[0024] S42. The sound source calculation unit obtains the total sound source noise C at the center of the transformer according to the total sound source calculation formula "C=Co*S+3n, C is the total sound source noise, Co is the transformer limit noise, S is the total surface area of the transformer, and n is the reflective surface around the transformer", and transmits it to the attenuation coefficient unit.
[0025] S43. The attenuation coefficient unit obtains the attenuation coefficient K in the air according to the attenuation coefficient calculation formula "K=10*log(10,4π)+20*log(10,r), K is the attenuation coefficient of sound wave in air, π is pi, and r is the distance between the transformer and the measurement point", and transmits it to the attenuation calculation unit.
[0026] S44. The attenuation calculation unit obtains the total attenuation of sound wave propagation A according to the formula for calculating the total attenuation of sound wave propagation: "A=Ad+Aa+Ag+Ab+Am, where A is the total attenuation of sound wave propagation, Ad is the attenuation of sound wave divergence with distance, Aa is the attenuation of sound wave absorbed by air, Ag is the attenuation of sound wave absorbed by the ground, Ab is the attenuation of sound barrier, and Am is the attenuation of sound wave under meteorological conditions", and transmits it to the noise calculation unit.
[0027] S45. The noise calculation unit obtains the total noise level in decibels by substituting the calculated total noise level C, attenuation coefficient K, total transformer surface area S, and total sound wave propagation attenuation A into “C1=[C-(C*K+A)] / 6S”.
[0028] Furthermore, step S60 includes the following steps:
[0029] S61. If the short circuit anomaly unit detects abnormalities in the transformer's winding temperature, oil temperature, current, and voltage through intelligent sensors, and emits abnormal "gurgling" or "crackling" sounds or strong and uniform noises, it indicates an inter-turn short circuit, a remote short circuit, or a ground short circuit, and immediately and automatically cuts off the power. Otherwise, it transmits the information to the load anomaly unit.
[0030] S62. If the load abnormality unit detects abnormal transformer casing temperature and power through intelligent sensors and emits a "clucking" noise, it indicates that the transformer is overloaded. The unit will immediately reduce the overload or notify after-sales staff to install a harmonic reduction device. Otherwise, the information will be transmitted to the cable tray abnormality unit.
[0031] S63. If the cable tray abnormality unit detects a large current flowing through the parallel busbars and noise exceeding 15dB through the intelligent sensor, it indicates that the transformer busbar cable tray is resonating. The unit will then notify after-sales staff to loosen the hanger bolts and take other measures. Otherwise, the abnormality will be transmitted to the component abnormality unit.
[0032] S64. If the circuit information of the transformer obtained by the intelligent sensor is normal, the resonance is caused by the loosening of components such as the coil and iron core of the transformer. The after-sales staff should be notified to tighten the screws or add anti-vibration pads. Otherwise, if it is due to aging, the power should be cut off immediately and the transformer should be scrapped and replaced to ensure the normal operation of the transformer.
[0033] The present invention provides a noise detection and control system for an epoxy resin insulated dry-type transformer, which further includes a computer device and a computer-readable storage medium; the computer device includes a memory and various functional modules, the memory stores a computer program, and when the functional modules execute the computer program, they implement the steps of any of the above-described epoxy resin insulated dry-type transformer noise detection methods; the computer-readable storage medium stores a computer program, and when the computer program is executed by the functional modules, it implements the steps of any of the above-described epoxy resin insulated dry-type transformer noise detection methods.
[0034] The present invention also provides an epoxy resin insulated dry-type transformer, which is implemented by the above-described method for noise detection of an epoxy resin insulated dry-type transformer.
[0035] The beneficial effects of this invention compared to the prior art are as follows:
[0036] By setting up noise acquisition, information processing, adjustment and distribution, decibel statistics, and after-sales maintenance modules, the system can automatically calculate noise levels and determine if they exceed standards, automatically detect and handle noise anomalies, achieve automated detection and processing, ensure uninterrupted electricity use for residents, guarantee transformer operation, improve environmental management efficiency, and realize intelligent network control. Attached Figure Description
[0037] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or exemplary technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0038] Figure 1 This is a schematic diagram of the system modules of the present invention;
[0039] Figure 2 This is a schematic diagram of the decibel counting module of the present invention;
[0040] Figure 3 This is a schematic diagram of the after-sales maintenance module of the present invention;
[0041] Figure 4 This is a schematic diagram of the method flow of the present invention;
[0042] Figure 5 This is a schematic diagram of step 40 in the method flow of the present invention;
[0043] Figure 6 This is a schematic diagram of step 60 in the method of the present invention. Detailed Implementation
[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0045] The specific implementation of the present invention will be described in detail below with reference to specific embodiments:
[0046] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.
[0047] It should be noted that when a module is said to be "set on" another module, it can be directly on that other module or indirectly on that other module. When a module is said to be "connected to" another module, it can be directly connected to that other module or indirectly connected to that other module.
[0048] In the description of this application, "multiple" means two or more, unless otherwise expressly and specifically defined. "Several" means one or more, unless otherwise expressly and specifically defined.
[0049] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two elements or the interaction between two elements. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances. The terms "comprising," "including," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.
[0050] Please see Figure 1 This invention provides a noise detection method for epoxy resin insulated dry-type transformers, applied to a noise detection and control system for epoxy resin insulated dry-type transformers. The system includes a noise acquisition module, an information processing module, an adjustment and distribution module, a decibel statistics module, an after-sales maintenance module, a wireless communication module, an alarm, a memory, a processing center, and a smartphone. The noise acquisition module, information processing module, adjustment and distribution module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory are all connected to the processing center. The smartphone automatically forms a wireless network with the wireless communication module within the range of the Internet of Things (IoT) or the Internet.
[0051] If the total noise level exceeds the standard decibel threshold for transformer operation stored in the memory, the alarm will detect abnormal transformer noise and automatically issue an audible alarm while simultaneously notifying the after-sales maintenance module for processing.
[0052] The wireless communication module is equipped with an Internet of Things (IoT) unit, which can automatically form a network within the range of the IoT or the Internet and connect to the wireless network of a smartphone to be responsible for sending and receiving wireless network signals.
[0053] The memory is responsible for storing information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and the standard decibel threshold for transformer operation noise.
[0054] Furthermore, the noise standards for the dry-type transformers include: for transformers with a power rating of 630kVA or less, the noise standard value should not exceed 50dB(A) when the rated voltage is 1kV or less, and should not exceed 55dB(A) when the rated voltage is above 1kV or below 6kV; for transformers with a power rating of 630kVA or more, the noise standard value should not exceed 55dB(A) when the rated voltage is 1kV or less, and should not exceed 60dB(A) when the rated voltage is above 1kV or below 6kV.
[0055] The processing center is responsible for transmitting information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory. It is the system hub. It compares the obtained total noise decibel value with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing.
[0056] The noise acquisition module acquires noise information from the dry-type transformer by installing a noise meter on the transformer, and then processes the information.
[0057] The information processing module combines the first sample noise decibel value and the second sample noise decibel value obtained from the same type of standard transformer in the same time period into several noise data groups. This allows for effective comparison with the noise decibel value of the actual tested transformer and transmission to the adjustment and allocation module.
[0058] The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first and second decibel values, respectively, and assigns them to several noise data groups to form new data groups, which are then passed to the decibel statistics module.
[0059] Please see Figure 5 As shown, the decibel statistics module includes an area calculation unit, a sound source calculation unit, an attenuation coefficient unit, an attenuation calculation unit, and a noise calculation unit. It aggregates and processes new data groups using a noise processing algorithm and obtains the total decibel value of the noise at the detection location using the noise calculation formula: "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total sound source noise, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the air absorption attenuation, Ag is the ground absorption attenuation, Ab is the sound barrier attenuation, Am is the meteorological condition attenuation, and S is the total surface area of the transformer". This value is then transmitted to the processing center.
[0060] Furthermore, the area calculation unit obtains the total surface area S of the transformer according to the formula for calculating the total surface area of the transformer: "S=2(a*b+a*h+b*h), where S is the total surface area of the transformer, a is the length of the transformer, b is the width of the transformer, and h is the height of the transformer", and transmits it to the sound source calculation unit.
[0061] Furthermore, the sound source calculation unit obtains the total sound source noise C at the center of the transformer according to the total sound source calculation formula "C=Co*S+3n, where C is the total sound source noise, Co is the transformer's limit noise, S is the transformer's total surface area, and n is the transformer's surrounding reflective surface", and then transmits it to the attenuation coefficient unit.
[0062] Furthermore, the attenuation coefficient unit obtains the attenuation coefficient K in the air according to the attenuation coefficient calculation formula "K=10log(10,4π)+20log(10,r), K is the attenuation coefficient in the air, π is pi, and r is the distance between the transformer and the measurement point", and transmits it to the attenuation calculation unit.
[0063] Furthermore, the attenuation calculation unit obtains the total attenuation of sound wave propagation A according to the formula for calculating the total attenuation of sound wave propagation: "A=Ad+Aa+Ag+Ab+Am, where A is the total attenuation of sound wave propagation, Ad is the attenuation of sound wave diverging with distance, Aa is the attenuation of sound wave absorbed by air, Ag is the attenuation of sound wave absorbed by the ground, Ab is the attenuation of sound barrier, and Am is the attenuation of sound wave under meteorological conditions", and transmits it to the noise calculation unit.
[0064] Furthermore, the noise calculation unit substitutes the calculated total sound source noise C, attenuation coefficient K, total transformer surface area S, and total sound wave propagation attenuation A into “C1=[C-(C*K+A)] / 6S” to obtain the total noise decibel value.
[0065] Please see Figure 3 As shown, the after-sales maintenance module includes a short-circuit abnormality unit, a load abnormality unit, a cable tray abnormality unit, and a component abnormality unit. By using intelligent sensors installed in relevant parts of the dry-type transformer, it can check or handle noise abnormalities of the dry-type transformer one by one to ensure the normal operation of the dry-type transformer.
[0066] Furthermore, if the short-circuit anomaly unit detects abnormalities in the transformer's coil temperature, oil temperature, current, and voltage through intelligent sensors, and these abnormalities are accompanied by "gurgling" or "crackling" sounds or strong and uniform noises, it indicates an inter-turn short circuit, a remote short circuit, or a ground short circuit. In such cases, the unit will immediately and automatically cut off the power. Otherwise, the abnormality will be transmitted to the load anomaly unit.
[0067] Furthermore, if the load anomaly unit detects abnormal transformer casing temperature and power through intelligent sensors and emits a "clucking" noise, it indicates that the transformer is overloaded and immediately reduces the overload or notifies after-sales personnel to install a harmonic reduction device; otherwise, it transmits the information to the cable tray anomaly unit.
[0068] Furthermore, if the cable tray abnormality unit detects a large current flowing through the parallel busbars and noise exceeding 15dB via intelligent sensors, it indicates that the transformer busbar cable tray is resonating, and the after-sales staff are notified to loosen the hanger bolts and perform other necessary actions. Otherwise, the abnormality is transmitted to the component abnormality unit.
[0069] Furthermore, if the abnormal component unit obtains normal circuit information from the transformer through the intelligent sensor, then the transformer's coils, core, or other components are loose, causing resonance. The unit will then notify after-sales personnel to tighten the screws or add anti-vibration pads. Otherwise, if the transformer is aging, the power will be immediately cut off and the transformer will be scrapped and replaced to ensure its normal operation.
[0070] System working principle:
[0071] When noise occurs, the noise acquisition module obtains the noise information of the dry-type transformer through a noise meter installed on the transformer, and then the information processing module combines the first sample noise decibel value with the second sample noise decibel value obtained from a standard transformer of the same type during the same time period to form several noise data groups. This allows for effective comparison with the actual noise decibel value of the transformer being tested, and the data is then transmitted to the adjustment and allocation module. The control adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first and second decibel values, respectively, and assigns them to several noise data groups to form new data groups, which are then transmitted to the decibel statistics module.
[0072] Then, the decibel statistics module collects and processes the new data group data using a noise processing algorithm and uses the noise calculation formula at the detection location: "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total noise level from the sound source, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the attenuation due to air absorption, Ag is the attenuation due to ground absorption, and Ab is the attenuation due to the sound barrier." The total noise level in decibels is obtained by setting Am to the attenuation factor due to meteorological conditions and S to the total surface area of the transformer. This value is then transmitted to the processing center. This process includes: The area calculation unit calculates the total surface area S of the transformer using the formula "S = 2(a*b + a*h + b*h), where S is the total surface area of the transformer, a is the transformer length, b is the transformer width, and h is the transformer height," and transmits this value to the sound source calculation unit; the control sound source calculation unit calculates the total sound source noise using the formula "C = Co*S + 3n," where C is the total sound source noise level, Co is the transformer's maximum noise level, and S is... The total surface area of the transformer, n being the reflective surface around the transformer, is used to obtain the total noise level C at the center of the transformer, which is then transmitted to the attenuation coefficient unit. The attenuation coefficient unit calculates the attenuation coefficient K in the air using the formula "K = 10 * log(10, 4π) + 20 * log(10, r), where K is the attenuation coefficient of the sound wave in air, π is pi, and r is the distance between the transformer and the measurement point," and transmits this to the attenuation calculation unit. Then, the attenuation calculation unit calculates the total attenuation of the sound wave using the formula "A = Ad + Aa + Ag + ... Ab+Am, where A is the total attenuation of sound wave propagation, Ad is the attenuation of sound wave divergence with distance, Aa is the attenuation of sound wave absorbed by air, Ag is the attenuation of sound wave absorbed by the ground, Ab is the attenuation of sound barrier, and Am is the attenuation of sound wave under meteorological conditions. The total attenuation A of sound wave propagation is obtained and transmitted to the noise calculation unit. The noise calculation unit substitutes the calculated total noise level C, attenuation coefficient K, total surface area S of the transformer, and total attenuation A of sound wave propagation into "C1=[C-(C*K+A)] / 6S" to obtain the total noise decibel value.
[0073] The processing center compares the obtained total noise decibel value with the standard decibel threshold for transformer operation stored in the memory. If it is lower than the threshold, the transformer noise is considered normal; if it is higher than the threshold, the transformer noise is considered abnormal, and the alarm is triggered to notify the after-sales maintenance module. The after-sales maintenance module then uses intelligent sensors installed in relevant parts of the dry-type transformer to check and address noise anomalies one by one to ensure the normal operation of the dry-type transformer. This includes: the short-circuit anomaly control unit detects abnormalities in the transformer's winding temperature, oil temperature, current, and voltage through intelligent sensors, and if these abnormalities are accompanied by a "gurgling or crackling" sound or a strong, uniform noise, it indicates an inter-turn short circuit, a remote short circuit, or a ground short circuit, and immediately and automatically cuts off the power. Otherwise, the issue is transmitted to the load anomaly control unit. Then the load... If the abnormality unit detects abnormal transformer casing temperature and power through intelligent sensors, and emits a "clunking" noise, it indicates that the transformer is overloaded. The unit should immediately reduce the overload or notify after-sales personnel to install a harmonic reduction device. Otherwise, the issue should be relayed to the cable tray abnormality unit. If the cable tray abnormality unit detects a large current flowing through the parallel busbars and noise exceeding 15dB through intelligent sensors, it indicates transformer busbar cable tray resonance. The unit should notify after-sales personnel to loosen the hanger bolts, etc., or otherwise relay the issue to the component abnormality unit. If the component abnormality unit detects that the transformer's circuit information is normal through intelligent sensors, the resonance is caused by loose coils, cores, or other components. The unit should notify after-sales personnel to tighten the bolts or add anti-vibration pads. Otherwise, it indicates aging and should be immediately disconnected from power and replaced to ensure the normal operation of the transformer.
[0074] When transformer monitors are located locally or remotely, they can automatically form a network using their smartphones within the scope of the Internet of Things (IoT) or the Internet, and connect to the wireless communication module via the IoT or the Internet to control or monitor the noise monitoring of the transformer, thereby achieving intelligent and networked control of transformer noise monitoring.
[0075] Please see Figure 4 As shown, the present invention provides a noise detection method for epoxy resin insulated dry-type transformers, comprising the following steps:
[0076] S10. When noise occurs, the noise acquisition module controls the noise information acquisition module to acquire the noise information of the dry-type transformer through the noise meter installed on the transformer, and then processes the information.
[0077] Furthermore, the noise meter is positioned at different distances from the front and left and right sides of the dry-type transformer to comprehensively assess the range of noise impact.
[0078] S20. The information processing module combines the first sample noise decibel value and the second sample noise decibel value of the same type of standard transformer obtained in the same time period into several noise data groups. This allows for effective comparison with the noise decibel value of the actual tested transformer and transmits it to the adjustment and allocation module.
[0079] To further clarify, the second sample noise decibel value is obtained in two ways: when the detection system is installed on a dry-type transformer and operates simultaneously with the transformer, the second sample noise decibel value is obtained by testing similar transformers under similar or simulated environments before installation; when the detection system is installed on the dry-type transformer in a timely manner after the transformer is found to be producing excessive noise, and the noise is then tested, the second sample noise decibel value is obtained from normal historical data of previous tests of similar transformers under similar environments.
[0080] S30. The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first decibel value and the second decibel value, respectively, and allocates them to several noise data groups to form new data groups, and then passes them to the decibel statistics module.
[0081] The S40 decibel statistics module collects and processes the new data group data through a noise processing algorithm and uses the noise calculation formula at the detection location, "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total noise level of the sound source, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the attenuation due to air absorption, Ag is the attenuation due to ground absorption, Ab is the attenuation due to sound barriers, Am is the attenuation due to meteorological conditions, and S is the total surface area of the transformer", to obtain the total decibel value of the noise and transmits it to the processing center.
[0082] S50. The processing center compares the obtained total noise decibel value with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing.
[0083] Furthermore, the abnormal transformer noise refers to the clear and regular sound emitted by the silicon steel sheets of the transformer core due to the vibration caused by the alternating magnetic flux during transformer operation. When the transformer load changes significantly or the operating state becomes abnormal, intermittent noise or a rough sound will be emitted.
[0084] The S60 after-sales maintenance module uses intelligent sensors installed in relevant parts of the dry-type transformer to check or handle abnormal noise of the dry-type transformer one by one, so as to ensure the normal operation of the dry-type transformer.
[0085] Please see Figure 5 As shown, step S40 includes the following steps:
[0086] S41. The area calculation unit obtains the total surface area S of the transformer according to the formula for calculating the total surface area of the transformer: "S=2(a*b+a*h+b*h), where S is the total surface area of the transformer, a is the length of the transformer, b is the width of the transformer, and h is the height of the transformer", and transmits it to the sound source calculation unit.
[0087] S42. The sound source calculation unit obtains the total sound source noise C at the center of the transformer according to the total sound source calculation formula "C=Co*S+3n, C is the total sound source noise, Co is the transformer limit noise, S is the total surface area of the transformer, and n is the reflective surface around the transformer", and transmits it to the attenuation coefficient unit.
[0088] To further explain, the total noise source is set with the transformer as the center point. The center point is set to a perfect sphere, and there are reflective surfaces near the sound source, except for the ground. This adds one reflective surface, which increases the noise by 3dB.
[0089] S43. The attenuation coefficient unit obtains the attenuation coefficient K in the air according to the attenuation coefficient calculation formula "K=10*log(10,4π)+20*log(10,r), K is the attenuation coefficient of sound wave in air, π is pi, and r is the distance between the transformer and the measurement point", and transmits it to the attenuation calculation unit.
[0090] S44. The attenuation calculation unit obtains the total attenuation of sound wave propagation A according to the formula for calculating the total attenuation of sound wave propagation: "A=Ad+Aa+Ag+Ab+Am, where A is the total attenuation of sound wave propagation, Ad is the attenuation of sound wave divergence with distance, Aa is the attenuation of sound wave absorbed by air, Ag is the attenuation of sound wave absorbed by the ground, Ab is the attenuation of sound barrier, and Am is the attenuation of sound wave under meteorological conditions", and transmits it to the noise calculation unit.
[0091] Furthermore, the sound wave attenuation with distance is Ad = 20log(r2 / r1), where r1 and r2 are the distances from the point sound source to the receiving points 1 and 2, respectively. Sound energy is radiated symmetrically in all directions around the sound source. The sound barrier attenuation Ab is closely related to the position of the sound source and receiving point relative to the barrier, the height and structure of the barrier, and the frequency of the sound wave. The ground absorption attenuation Ag includes the sound energy attenuation after passing through thick grass, shrubs, or forests. When the ground is a non-rigid surface, the attenuation of sound energy over short distances is negligible, but not negligible above 70 meters. When propagating through thick grass or shrubs, the sound energy attenuation Ag = (0.18logf - 0.31)d, which is approximately 23dB / 100m at a frequency of 1000Hz. In forest areas, at a frequency of 1000Hz, the average excess attenuation is Ag = 0.01(f). 1 / 3 r, the excess attenuation is approximately 2.3–3 dB / 100 m.
[0092] Furthermore, the air absorption attenuation refers to the sound wave propagating in the atmosphere, which includes sound attenuation caused by spherical wave divergence and losses due to sound wave reflection, diffraction, and scattering, as well as sound absorption in the atmosphere. Sound absorption in the atmosphere is related to temperature, humidity, pressure, and frequency. When the relative humidity is not too low, the following approximate equation can be used: For H[1.8t+32]≥4000, the sound absorption equation is: ai0=fi / 500(dB / 305m); For H[1.8t+32]≤4000, the sound absorption equation is: ai0=fi / 750[5.50-H×(1.8t+32) / 1000], where ai0 is the sound attenuation (B / 305m) when the product of temperature and humidity is greater than or equal to 4000 in the i-th 1 / 3 octave band; ai is the sound attenuation (dB / 305m) when the product of temperature and humidity is equal to or equal to 4000 in the i-th 1 / 3 octave band; fi is the center frequency (Hz) of the i-th 1 / 3 octave band; H is the relative humidity (%); and t is the temperature (°C).
[0093] Furthermore, the meteorological attenuation Am refers to the attenuation of noise due to weather factors. Rain, snow, and fog attenuate sound waves by less than 0.5 dB / 100m, and therefore can be ignored. Temperature gradients have a significant impact on sound wave propagation, with an attenuation of At = 20.05√T = 331.45 + 0.61t. Temperature, humidity, and wind are conducive to sound propagation, and their combined effect causes negligible attenuation. The presence of airflow in the atmosphere affects the direction of sound rays. If the airflow is horizontal and its speed remains constant, the wind field has little effect. If the wind speed increases with altitude, the sound rays bend towards the ground. If the sound wave has a velocity component opposite to the wind direction, the sound ray travels upwards and does not return to the ground. Therefore, sound wave propagation is more favorable in the downwind direction than in the upwind direction.
[0094] S45. The noise calculation unit obtains the total noise level in decibels by substituting the calculated total noise level C, attenuation coefficient K, total transformer surface area S, and total sound wave propagation attenuation A into “C1=[C-(C*K+A)] / 6S”.
[0095] Please see Figure 6 As shown, step S60 includes the following steps:
[0096] S61. If the short circuit anomaly unit detects abnormalities in the transformer's winding temperature, oil temperature, current, and voltage through intelligent sensors, and emits abnormal "gurgling" or "crackling" sounds or strong and uniform noises, it indicates an inter-turn short circuit, a remote short circuit, or a ground short circuit, and immediately and automatically cuts off the power. Otherwise, it transmits the information to the load anomaly unit.
[0097] S62. If the load abnormality unit detects abnormal transformer casing temperature and power through intelligent sensors and emits a "clucking" noise, it indicates that the transformer is overloaded. The unit will immediately reduce the overload or notify after-sales staff to install a harmonic reduction device. Otherwise, the information will be transmitted to the cable tray abnormality unit.
[0098] S63. If the cable tray abnormality unit detects a large current flowing through the parallel busbars and noise exceeding 15dB through the intelligent sensor, it indicates that the transformer busbar cable tray is resonating. The unit will then notify after-sales staff to loosen the hanger bolts and take other measures. Otherwise, the abnormality will be transmitted to the component abnormality unit.
[0099] S64. If the circuit information of the transformer obtained by the intelligent sensor is normal, the resonance is caused by the loosening of components such as the coil and iron core of the transformer. The after-sales staff should be notified to tighten the screws or add anti-vibration pads. Otherwise, if it is due to aging, the power should be cut off immediately and the transformer should be scrapped and replaced to ensure the normal operation of the transformer.
[0100] The present invention provides a noise detection and control system for an epoxy resin insulated dry-type transformer, which further includes a computer device and a computer-readable storage medium; the computer device includes a memory and various functional modules, the memory stores a computer program, and when the functional modules execute the computer program, they implement the steps of any of the above-described epoxy resin insulated dry-type transformer noise detection methods; the computer-readable storage medium stores a computer program, and when the computer program is executed by the functional modules, it implements the steps of any of the above-described epoxy resin insulated dry-type transformer noise detection methods.
[0101] To further explain, this invention is described based on the software program of a noise detection and control system for epoxy resin insulated dry-type transformers. Each noise detection method for epoxy resin insulated dry-type transformers is divided into several modules or units to implement the software program instructions generated at each step. These software program instructions include the aforementioned noise detection method for epoxy resin insulated dry-type transformers. Most of the above program is automated; only a small portion, such as sales maintenance or major noise problems, requires manual assistance.
[0102] To further clarify, whether the detection system is installed on the dry-type transformer and operates simultaneously with the transformer, or whether it is installed and tested only when the dry-type transformer is found to be producing excessive noise, depends on the user's requirements.
[0103] To further clarify, the above descriptions of this invention are all based on the content implemented by the software copyrights applied for by our company, such as "Dry-type Transformer Fault Detection System (Version No.: V1.0, Registration Date: April 28, 2019)" and "Transformer Anomaly Test System (Version No.: V1.0, Registration Date: October 9, 2015)".
[0104] The present invention also provides an epoxy resin insulated dry-type transformer, which is implemented by the above-described method for noise detection of an epoxy resin insulated dry-type transformer.
[0105] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be regarded as exemplary and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within this application.
[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit it. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of this application, and all such modifications or substitutions should be included within the protection scope of this application.
Claims
1. A method for noise detection in an epoxy resin insulated dry-type transformer, characterized in that: A noise detection and control system for an epoxy resin insulated dry-type transformer includes a noise acquisition module, an information processing module, an adjustment and distribution module, a decibel statistics module, an after-sales maintenance module, a wireless communication module, an alarm, a memory, a processing center, and a smartphone. The noise acquisition module, information processing module, adjustment and distribution module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory are all connected to the processing center. The smartphone automatically forms a wireless network with the wireless communication module within the range of the Internet of Things (IoT) or the Internet. If the total noise level obtained by the alarm is higher than the standard decibel threshold for the transformer's operation stored in the memory, it indicates that the transformer noise is abnormal and will automatically issue an audible alarm while notifying the after-sales maintenance module for handling. The wireless communication module is equipped with an Internet of Things (IoT) unit, which automatically forms a network within the IoT or Internet range and connects to the smartphone wireless network to send and receive wireless network signals. The memory is responsible for storing information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and the standard decibel threshold for transformer operation noise. The processing center is responsible for transmitting information from the noise acquisition module, information processing module, adjustment and allocation module, decibel statistics module, after-sales maintenance module, wireless communication module, alarm, and memory. It is the system hub. It compares the total noise decibel value obtained with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing. The noise acquisition module acquires noise information of the dry-type transformer by installing a noise meter on the transformer, and then processes the information. The information processing module combines the first sample noise decibel value and the second sample noise decibel value obtained from the same type of standard transformer in the same time period into several noise data groups, and transmits them to the adjustment and allocation module. The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first decibel value and the second decibel value, respectively, and allocates them to several noise data groups to form new data groups, and then transmits them to the decibel statistics module. The decibel statistics module includes an area calculation unit, a sound source calculation unit, an attenuation coefficient unit, an attenuation calculation unit, and a noise calculation unit. It aggregates and processes new data groups using a noise processing algorithm and obtains the total decibel value of the noise at the detection location using the noise calculation formula: "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total sound source noise, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the attenuation due to air absorption, Ag is the attenuation due to ground absorption, Ab is the attenuation due to sound barriers, Am is the attenuation due to meteorological conditions, and S is the total surface area of the transformer". This value is then transmitted to the processing center. The after-sales maintenance module includes a short-circuit abnormality unit, a load abnormality unit, a cable tray abnormality unit, and a component abnormality unit. By using intelligent sensors installed in relevant parts of the dry-type transformer, it can check or handle noise abnormalities of the dry-type transformer one by one to ensure the normal operation of the dry-type transformer.
2. The noise detection method for an epoxy resin insulated dry-type transformer according to claim 1, characterized in that: Includes the following steps: S10. When noise occurs, the noise acquisition module controls the noise information acquisition module to acquire the noise information of the dry-type transformer through the noise meter installed on the transformer, and then processes the information. S20. The information processing module combines the first sample noise decibel value and the second sample noise decibel value of the same type of standard transformer obtained in the same time period into several noise data groups, effectively compares them with the noise decibel value of the actual tested transformer, and transmits them to the adjustment and allocation module. S30. The adjustment and allocation module selects the minimum and maximum values from the second sample noise decibel values as the first decibel value and the second decibel value, respectively, and allocates them to several noise data groups to form new data groups, and then passes them to the decibel statistics module. The S40 decibel statistics module collects and processes the new data group data through a noise processing algorithm and uses the noise calculation formula at the detection location "C1=〖C-(C*[10*log(10,4π)+20*log(10,r)]+Ad+Aa+Ag+Ab+Am)〗 / 6S, where C1 is the noise at the detection location, C is the total noise level of the sound source, r is the distance between the transformer and the measurement point, Ad is the sound wave attenuation due to distance, Aa is the sound wave attenuation due to air absorption, Ag is the sound wave attenuation due to ground absorption, Ab is the sound barrier attenuation, Am is the sound wave attenuation due to meteorological conditions, and S is the total surface area of the transformer" to obtain the total decibel value of the noise and transmits it to the processing center. S50. The processing center compares the obtained total noise decibel value with the standard decibel threshold for the transformer's operation stored in the memory: if it is lower than the threshold, it proves that the transformer noise is normal; if it is higher than the threshold, it proves that the transformer noise is abnormal, and transmits the information to the alarm to notify the after-sales maintenance module for processing. The S60 after-sales maintenance module uses intelligent sensors installed in relevant parts of the dry-type transformer to check or handle abnormal noise of the dry-type transformer one by one, so as to ensure the normal operation of the dry-type transformer.
3. The noise detection method for an epoxy resin insulated dry-type transformer according to claim 2, characterized in that: Step S40 includes the following steps: S41. The area calculation unit obtains the total surface area S of the transformer according to the formula "S=2(a*b+a*h+b*h), where S is the total surface area of the transformer, a is the length of the transformer, b is the width of the transformer, and h is the height of the transformer" and transmits it to the sound source calculation unit. S42. The sound source calculation unit obtains the total sound source noise C at the center of the transformer according to the total sound source calculation formula "C=Co*S+3n, where C is the total sound source noise, Co is the transformer's limit noise, S is the transformer's total surface area, and n is the transformer's surrounding reflective surface", and transmits it to the attenuation coefficient unit. S43. The attenuation coefficient unit obtains the attenuation coefficient K in the air according to the attenuation coefficient calculation formula "K=10*log(10,4π)+20*log(10,r), where K is the attenuation coefficient of the sound wave in the air, π is pi, and r is the distance between the transformer and the measurement point", and transmits it to the attenuation calculation unit. S44. The attenuation calculation unit obtains the total attenuation of sound wave propagation A according to the formula "A=Ad+Aa+Ag+Ab+Am, where A is the total attenuation of sound wave propagation, Ad is the attenuation of sound wave divergence with distance, Aa is the attenuation of sound wave absorbed by air, Ag is the attenuation of sound wave absorbed by the ground, Ab is the attenuation of sound barrier, and Am is the attenuation of sound wave under meteorological conditions", and transmits it to the noise calculation unit. S45. The noise calculation unit obtains the total noise level in decibels by substituting the calculated total noise level C, attenuation coefficient K, total transformer surface area S, and total sound wave propagation attenuation A into "C1=[C-(C*K+A)] / 6S".
4. The noise detection method for an epoxy resin insulated dry-type transformer according to claim 2, characterized in that: Step S60 includes the following steps: S61. If the short circuit anomaly unit detects abnormalities in the transformer's winding temperature, oil temperature, current, and voltage through intelligent sensors, and emits abnormal "gurgling" or "crackling" sounds or strong and uniform noises, it indicates an inter-turn short circuit, a remote short circuit, or a ground short circuit, and immediately and automatically cuts off the power. Otherwise, it transmits the information to the load anomaly unit. S62. If the load abnormality unit detects abnormal transformer casing temperature and power through intelligent sensors and emits a "clucking" noise, it indicates that the transformer is overloaded. The unit will immediately reduce the overload or notify after-sales staff to install a harmonic reduction device. Otherwise, the information will be transmitted to the cable tray abnormality unit. S63. If the cable tray abnormality unit detects a large current flowing through the parallel busbars and noise exceeding 15dB through the intelligent sensor, it indicates that the transformer busbar cable tray is resonating. The unit will then notify after-sales staff to loosen the hanger bolts and take other measures. Otherwise, the abnormality will be transmitted to the component abnormality unit. S64. If the circuit information of the transformer obtained by the intelligent sensor is normal, the resonance is caused by the loosening of components such as the coil and iron core of the transformer. The after-sales staff should be notified to tighten the screws or add anti-vibration pads. Otherwise, if it is due to aging, the power should be cut off immediately and the transformer should be scrapped and replaced to ensure the normal operation of the transformer.
5. The noise detection method for an epoxy resin insulated dry-type transformer according to claim 1, characterized in that: The epoxy resin insulated dry-type transformer noise detection and control system further includes a computer device and a computer-readable storage medium; the computer device includes a memory and various functional modules, the memory stores a computer program, and when the functional modules execute the computer program, they implement the steps of any one of the epoxy resin insulated dry-type transformer noise detection methods according to claims 2 to 4; the computer-readable storage medium stores a computer program, and when the computer program is executed by the functional modules, it implements the steps of any one of the epoxy resin insulated dry-type transformer noise detection methods according to claims 2 to 4.
6. An epoxy resin insulated dry-type transformer, characterized in that: This is achieved by the noise detection method for an epoxy resin insulated dry-type transformer as described in claims 1 to 5.