An integrated transformer monitoring device based on Internet of Things multi-sensor technology

Abstract

The present invention relates to the field of mutual inductor monitoring technology, and specifically to an integrated mutual inductor monitoring device based on the Internet of Things multi-sensor technology, by matching monitoring data exceeding a predetermined value with a characteristic relationship, matching a characteristic relationship containing the type of monitoring data in the characteristic relationship, the controller controls the monitoring module in the standby state corresponding to the type of monitoring data in the matched characteristic relationship to switch to the working state based on the matched characteristic relationship, and obtains the monitoring data of the monitoring module switched to the working state; the early warning module outputs an early warning result based on the real-time monitoring data, the monitoring data of other types of monitoring data in the matched characteristic relationship, and the early warning information. The present invention realizes the output of early warning results through the relationship between the obtained monitoring data, thereby improving the comprehensiveness of data evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of mutual inductor monitoring, and in particular to an integrated mutual inductor monitoring device based on Internet of Things multi-sensor technology. Background Art

[0002] Instrument transformers are essential components for the normal operation, monitoring, metering, protection, and control of power grids. Their existence enables the application of high-voltage and high-current information. The operational quality of instrument transformers directly impacts the accuracy of power system measurements and metering, as well as the reliability of relay protection and automatic devices, significantly impacting the safe operation of power systems.

[0003] At present, current transformers are widely used. In order to improve the reliability of current transformers during use, current transformers are usually inspected. Patent application number 202311479403.4 discloses a current transformer monitoring, evaluation and maintenance platform, including a multimodal sensor module, a monitoring module, a pre-training module, a state evaluation module, a maintenance decision correction module and a historical state database; the monitoring module is used to remotely receive data collected by the multimodal sensor module, and store and output the data; the historical state database stores the historical operating parameters of the current transformer and the corresponding state evaluation results; the pre-training module trains a support vector machine model according to the data in the historical state database to obtain a classifier; the state evaluation module evaluates the state of the current transformer based on the collected data; the maintenance decision correction module corrects the maintenance strategy based on the state evaluation results.

[0004] The inventors found that the above-mentioned monitoring, evaluation and maintenance platform has some shortcomings, such as the monitored data is only compared with historical data, the data evaluation method is not comprehensive enough, a lot of data is monitored at the same time, and the amount of data that needs to be processed is large. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to propose an integrated transformer monitoring device based on Internet of Things multi-sensor technology to solve the problem that the current monitoring data is only compared with historical data and the data evaluation method is not comprehensive enough.

[0006] Based on the above objectives, the present invention provides an integrated transformer monitoring device based on Internet of Things multi-sensor technology, including: a temperature monitoring module, a noise monitoring module, a vibration monitoring module, a secondary current monitoring module, an induced current monitoring module, a data rule definition module, a controller, a data processing module and an early warning module, wherein:

[0007] The temperature monitoring module includes a first temperature monitoring unit for monitoring the operating temperature of the transformer and a second temperature monitoring unit for monitoring the ambient temperature of the transformer;

[0008] The noise monitoring module is used to monitor the sound information generated when the mutual inductor is working;

[0009] The vibration monitoring module is used to monitor the vibration information of the mutual inductor when it is working;

[0010] The secondary current monitoring module is used to monitor the magnitude of the secondary current;

[0011] The induced current monitoring module includes an induction core arranged on one side of the CT core in the transformer, and an induced current monitoring loop is wound around the induction core;

[0012] The data rule definition module is used to establish characteristic relationships between the data types monitored by the monitoring module and early warning information based on the characteristic relationships;

[0013] The first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module are in a real-time monitoring state, and the controller is used to control the second temperature monitoring unit, the vibration monitoring module, and the induced current monitoring module to switch from a standby state to a working state;

[0014] The data processing module is used to process the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module in real time. When the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module exceeds the corresponding predetermined value, the monitoring data exceeding the predetermined value is matched with the characteristic relationship. A characteristic relationship containing the type of monitoring data in the matched characteristic relationship is matched. Based on the matched characteristic relationship, the controller controls the monitoring module in the standby state corresponding to the type of monitoring data in the matched characteristic relationship to switch to the working state, and obtains the monitoring data of the monitoring module switched to the working state;

[0015] The early warning module outputs an early warning result based on the real-time monitoring data, the monitoring data of the monitoring module switched to the working state and the early warning information.

[0016] Optionally, the characteristic relationship includes:

[0017] The relationship between the operating temperature, ambient temperature and secondary current of the transformer;

[0018] The relationship between the sound information, vibration information and induced current;

[0019] The relationship between the secondary current and the induced current.

[0020] Optionally, the warning information includes:

[0021] When the operating temperature and the ambient temperature of the transformer exceed the corresponding predetermined values, and the secondary current does not exceed the corresponding predetermined value, the warning information is a heat dissipation fault;

[0022] When the operating temperature and secondary current of the transformer exceed corresponding preset values, and the ambient temperature does not exceed the corresponding preset values, the warning information is an overload fault.

[0023] Optionally, the warning information includes:

[0024] When the sound information and the vibration information exceed the corresponding predetermined values, and the induced current does not exceed the corresponding predetermined value, the warning information is a mechanical failure;

[0025] When the sound information and the induced current exceed corresponding predetermined values, and the vibration information does not exceed the corresponding predetermined value, the warning information is a discharge fault.

[0026] Optionally, the monitoring device further includes a variable resistor connected in series with the mutual inductor, the variable resistor is connected in parallel with an energy storage module and a backup heat dissipation module, a voltage stabilizer and a first automatic control switch are connected in series between the energy storage module, the backup heat dissipation module and the variable resistor, and the energy storage module and the backup heat dissipation module are respectively connected in series with a second automatic control switch and a third automatic control switch;

[0027] When the warning information is a discharge fault, the controller controls the resistance of the variable resistor to increase to a predetermined value, and controls the first automatic control switch and the second automatic control switch to be closed, and the third automatic control switch to be closed and opened;

[0028] When the early warning information includes both a discharge fault and a heat dissipation fault, the first automatic control switch and the third automatic control switch are controlled to be closed, and the second automatic control switch is controlled to be open.

[0029] Optionally, the warning information includes:

[0030] When the secondary current is not within the corresponding predetermined range and the induced current exceeds the corresponding predetermined value, the warning information is an overload fault;

[0031] When the secondary current is not within the corresponding predetermined range and the induced current does not exceed the corresponding predetermined value, the warning information indicates that the monitoring instrument is faulty.

[0032] Optionally, the warning result includes:

[0033] When only a single monitoring data exceeds the corresponding predetermined value, and the range of the excess is within the predetermined range, the warning result is low risk;

[0034] When only a single monitoring data exceeds the corresponding predetermined value, and the range of the excess exceeds the predetermined range, the warning result is high risk;

[0035] When multiple monitoring data exceed corresponding predetermined values ​​and meet one of the characteristic relationships, the warning result is high risk.

[0036] Optionally, the warning result further includes treatment measures for different risks, and the treatment measures include low-risk treatment measures and high-risk treatment measures;

[0037] The low-risk handling measures include outputting a low-risk handling process for the fault type in the early warning information;

[0038] The high-risk handling measures include outputting a high-risk handling flow for the fault type in the early warning information.

[0039] When the monitoring device is working, under normal circumstances, only the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module are in the real-time monitoring state, and the second temperature monitoring unit, the vibration monitoring module, and the induced current monitoring module are in the standby state. Therefore, the data detection and processing volume can be reduced, and at the same time, a predetermined value can be set based on historical data. When the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module exceeds the corresponding predetermined value, the monitoring data exceeding the predetermined value is matched with the feature relationship, and the feature relationship containing the monitoring data type in the feature relationship is matched. At this time, other data types in the feature relationship can be obtained. Based on the matched feature relationship, the controller controls the monitoring module in the standby state corresponding to the monitoring data type in the matched feature relationship to start working, obtains monitoring data of other monitoring data types in the matched feature relationship, and then outputs the warning result based on the real-time monitoring data, monitoring data of other monitoring data types in the matched feature relationship, and warning information.

[0040] From the above, it can be seen that in addition to setting predetermined values ​​based on historical data and making judgments based on predetermined values, this device also outputs early warning results through the relationship between the obtained monitoring data, thereby improving the comprehensiveness of data evaluation. At the same time, by implementing a monitoring and standby design, the monitoring module in the standby state will only work when it is matched, thereby reducing the amount of data detection and processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 This is a structural block diagram of a monitoring device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0044] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0045] like Figure 1 As shown, an integrated transformer monitoring device based on IoT multi-sensor technology includes: a temperature monitoring module, a noise monitoring module, a vibration monitoring module, a secondary current monitoring module, an induced current monitoring module, a data rule definition module, a controller, a data processing module and an early warning module, wherein:

[0046] The temperature monitoring module includes a first temperature monitoring unit for monitoring the operating temperature of the transformer and a second temperature monitoring unit for monitoring the ambient temperature of the transformer;

[0047] The noise monitoring module is used to monitor the sound information generated when the mutual inductor is working;

[0048] The vibration monitoring module is used to monitor the vibration information of the mutual inductor when it is working;

[0049] The secondary current monitoring module is used to monitor the magnitude of the secondary current;

[0050] The induced current monitoring module includes an induction core arranged on one side of the CT core in the transformer, and an induced current monitoring loop is wound around the induction core;

[0051] The data rule definition module is used to establish characteristic relationships between the data types monitored by the monitoring module and early warning information based on the characteristic relationships;

[0052] The first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module are in a real-time monitoring state, and the controller is used to control the second temperature monitoring unit, the vibration monitoring module, and the induced current monitoring module to switch from a standby state to a working state;

[0053] The data processing module is used to process the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module in real time. When the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module exceeds the corresponding predetermined value, the monitoring data exceeding the predetermined value is matched with the characteristic relationship. A characteristic relationship containing the type of monitoring data in the matched characteristic relationship is matched. Based on the matched characteristic relationship, the controller controls the monitoring module in the standby state corresponding to the type of monitoring data in the matched characteristic relationship to switch to the working state, and obtains the monitoring data of the monitoring module switched to the working state;

[0054] The early warning module outputs an early warning result based on the real-time monitoring data, the monitoring data of the monitoring module switched to the working state and the early warning information.

[0055] When the monitoring device is working, under normal circumstances, only the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module are in the real-time monitoring state at the beginning, and the second temperature monitoring unit, the vibration monitoring module, and the induced current monitoring module are in the standby state. Therefore, the data detection and processing amount can be reduced, and the predetermined value can be set based on the historical data. When the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module exceeds the corresponding predetermined value, the monitoring data exceeding the predetermined value is matched with the feature relationship, and the feature relationship containing the monitoring data type is matched. At this time, other data types in the feature relationship can be obtained. Based on the matched feature relationship, the controller controls the monitoring module in the standby state corresponding to the monitoring data type in the matched feature relationship to start working, obtains monitoring data of other monitoring data types in the matched feature relationship, and then outputs the warning result based on the real-time monitoring data, monitoring data of other monitoring data types in the matched feature relationship, and warning information.

[0056] From the above, it can be seen that in addition to setting predetermined values ​​based on historical data and making judgments based on predetermined values, this device also outputs early warning results through the relationship between the obtained monitoring data, thereby improving the comprehensiveness of data evaluation. At the same time, by implementing a monitoring and standby design, the monitoring module in the standby state will only work when it is matched, thereby reducing the amount of data detection and processing.

[0057] In some embodiments, the characteristic relationships include:

[0058] The relationship between the operating temperature, ambient temperature and secondary current of the transformer;

[0059] The relationship between the sound information, vibration information and induced current;

[0060] The relationship between the secondary current and the induced current.

[0061] Through the above relationship, when the operating temperature of the transformer exceeds the predetermined value, the second temperature monitoring unit which is in standby state starts to work; when the sound information exceeds the predetermined value, for example, when the sound decibel exceeds the predetermined value, the vibration monitoring module and the induced current monitoring module which are in standby state start to work; when the secondary current exceeds the predetermined value, the induced current monitoring module which is in standby state starts to work.

[0062] Optionally, the warning information includes:

[0063] When the operating temperature and ambient temperature of the transformer exceed corresponding preset values, and the secondary current does not exceed the corresponding preset value, the warning information is a heat dissipation failure, indicating that the operating temperature of the transformer may have risen due to a problem with the heat dissipation component;

[0064] When the operating temperature and secondary current of the transformer exceed corresponding preset values, and the ambient temperature does not exceed the corresponding preset values, the warning information is an overload fault, indicating that the operating temperature of the transformer has risen due to overload.

[0065] Optionally, the warning information includes:

[0066] When the sound information and vibration information exceed the corresponding predetermined values, and the induced current does not exceed the corresponding predetermined value, the warning information is a mechanical failure, indicating that the cause may be a mechanical failure, such as looseness in some parts causing the sound of the transformer to increase during operation;

[0067] When the sound information and the induced current exceed the corresponding predetermined values, and the vibration information does not exceed the corresponding predetermined value, the warning information is a discharge fault, indicating that the crackling sound generated during power generation may cause the sound of the transformer to increase during operation.

[0068] In some embodiments, the monitoring device further includes a variable resistor connected in series with the mutual inductor, the variable resistor is connected in parallel with an energy storage module and a backup heat dissipation module, a voltage stabilizer and a first automatic control switch are connected in series between the energy storage module and the backup heat dissipation module and the variable resistor, and the energy storage module and the backup heat dissipation module are respectively connected in series with a second automatic control switch and a third automatic control switch;

[0069] When the warning information is a discharge fault, the controller controls the resistance of the variable resistor to increase to a predetermined value, and controls the first automatic control switch and the second automatic control switch to be closed, and the third automatic control switch to be closed and opened;

[0070] When the early warning information includes both a discharge fault and a heat dissipation fault, the first automatic control switch and the third automatic control switch are controlled to be closed, and the second automatic control switch is controlled to be open.

[0071] In some cases where environmental factors and weather factors are relatively severe, the probability of equipment failure will increase. The above method can be used to temporarily deal with discharge failures and heat dissipation failures. For example, during discharge, the resistance of the variable resistor is increased to a predetermined value to divide the voltage, thereby reducing the voltage in the transformer to alleviate the discharge of the transformer. At the same time, the divided voltage can be used for energy storage. When discharge failures and heat dissipation failures occur at the same time, the divided voltage can be directly used for heat dissipation in the spare heat dissipation module. In this way, the discharge failures and heat dissipation failures can be temporarily solved while waiting for the arrival of staff. At this time, not passing through the energy storage module can reduce the number of charge and discharge times of the energy storage module and extend the service life of the energy storage module.

[0072] In some embodiments, the warning information includes:

[0073] When the secondary current is not within the corresponding predetermined range and the induced current exceeds the corresponding predetermined value, the warning information is an overload fault, indicating that the secondary current is not within the corresponding predetermined range due to the possible cause of the overload fault;

[0074] When the secondary current is not within the corresponding predetermined range and the induced current does not exceed the corresponding predetermined value, the warning information is a monitoring instrument failure, indicating that the secondary current is not within the corresponding predetermined range due to a possible monitoring instrument failure.

[0075] In some embodiments, the warning result includes:

[0076] When only a single monitoring data exceeds the corresponding predetermined value, and the exceeding range is within the predetermined range, the warning result is low risk. For example, the operating sound of the current transformer increases, but is still within the acceptable range.

[0077] The temperature has risen slightly but has not reached the overheating standard, so the risk is low at this time.

[0078] When only a single monitoring data exceeds the corresponding predetermined value, and the range of the excess exceeds the predetermined range, the warning result is high risk;

[0079] When multiple monitoring data exceed the corresponding predetermined values ​​and meet one of the characteristic relationships, the warning result is high risk. When multiple monitoring data exceed the corresponding predetermined values, the risk is higher than when a single monitoring data exceeds the corresponding predetermined value, and it is high risk.

[0080] In some embodiments, the warning results also include treatment measures for different risks, including low-risk treatment measures and high-risk treatment measures. By sending low-risk treatment measures and high-risk treatment measures, managers can be guaranteed to think of relevant treatment methods in a timely manner and perform correct treatment according to the steps.

[0081] Optionally, the low-risk handling measures include outputting a low-risk handling process for the fault type in the warning information. The high-risk handling measures include outputting a high-risk handling process for the fault type in the warning information.

[0082] It should be understood by those skilled in the art that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Within the scope of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the above aspects of the present invention, which are not provided in detail for the sake of simplicity.

[0083] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An integrated transformer monitoring device based on Internet of Things multi-sensor technology, characterized in that: include: Temperature monitoring module, noise monitoring module, vibration monitoring module, secondary current monitoring module, induction current monitoring module, data rule definition module, controller, data processing module and early warning module, wherein: The temperature monitoring module includes a first temperature monitoring unit for monitoring the operating temperature of the transformer and a second temperature monitoring unit for monitoring the ambient temperature of the transformer; The noise monitoring module is used to monitor the sound information generated when the mutual inductor is working; The vibration monitoring module is used to monitor the vibration information of the mutual inductor when it is working; The secondary current monitoring module is used to monitor the magnitude of the secondary current; The induction current monitoring module comprises an induction core arranged on one side of the CT core in the transformer, and an induction current monitoring loop is wound around the induction core; The data rule definition module is used to establish characteristic relationships between the data types monitored by the monitoring module and early warning information based on the characteristic relationships; The first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module are in a real-time monitoring state, and the controller is used to control the second temperature monitoring unit, the vibration monitoring module, and the induced current monitoring module to switch from a standby state to a working state; The data processing module is used to process the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module in real time. When the data monitored by the first temperature monitoring unit, the noise monitoring module, and the secondary current monitoring module exceed the corresponding predetermined values, the monitoring data exceeding the predetermined values ​​are matched with the characteristic relationship, and the characteristic relationship containing the type of the monitoring data in the characteristic relationship is matched. Based on the matched characteristic relationship, the controller controls the monitoring module in the standby state corresponding to the type of monitoring data in the matched characteristic relationship to switch to the working state, and obtains the monitoring data of the monitoring module switched to the working state; The early warning module outputs an early warning result based on the real-time monitoring data, the monitoring data of the monitoring module switched to the working state and the early warning information; The characteristic relationships include: The relationship between the operating temperature, ambient temperature and secondary current of the transformer; The relationship between the sound information, vibration information and induced current; The relationship between the secondary current and the induced current.

2. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 1 is characterized in that: The warning information includes: When the operating temperature and the ambient temperature of the transformer exceed the corresponding preset values, and the secondary current does not exceed the corresponding preset value, the warning information is a heat dissipation failure; When the operating temperature and secondary current of the transformer exceed corresponding preset values, and the ambient temperature does not exceed corresponding preset values, the warning information is an overload fault.

3. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 2 is characterized in that: The warning information includes: When the sound information and the vibration information exceed the corresponding preset values, and the induced current does not exceed the corresponding preset value, the warning information is a mechanical failure; When the sound information and the induced current exceed the corresponding preset values, and the vibration information does not exceed the corresponding preset value, the warning information is a discharge fault.

4. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 3 is characterized in that: The monitoring device also includes a variable resistor connected in series with the mutual inductor, the variable resistor is connected in parallel with an energy storage module and a spare heat dissipation module, a voltage stabilizer and a first automatic control switch are connected in series between the energy storage module and the spare heat dissipation module and the variable resistor, and the energy storage module and the spare heat dissipation module are respectively connected in series with a second automatic control switch and a third automatic control switch; When the warning information is a discharge fault, the controller controls the resistance of the variable resistor to increase to a predetermined value, and controls the first automatic control switch and the second automatic control switch to close, and the third automatic control switch to close and open; When the early warning information includes both a discharge fault and a heat dissipation fault, the first automatic control switch and the third automatic control switch are controlled to be closed, and the second automatic control switch is controlled to be opened.

5. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 1 is characterized in that: The warning information includes: When the secondary current is not within the corresponding predetermined range, and the induced current exceeds the corresponding predetermined value, the warning information is an overload fault; When the secondary current is not within the corresponding preset range and the induced current does not exceed the corresponding preset value, the warning information is a monitoring instrument failure.

6. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 1 is characterized in that: The warning results include: When only a single monitoring data exceeds the corresponding preset value, and the range of the exceeding value is within the preset range, the warning result is low risk; When only a single monitoring data exceeds the corresponding preset value, and the range of the exceeding exceeds the preset range, the warning result is high risk; When multiple monitoring data exceed corresponding preset values ​​and meet one of the characteristic relationships, the warning result is high risk.

7. The integrated transformer monitoring device based on Internet of Things multi-sensor technology according to claim 6 is characterized in that: The warning result also includes treatment measures for different risks, including low-risk treatment measures and high-risk treatment measures; The low-risk processing measures include outputting a processing flow for the low-risk fault type according to the fault type in the early warning information; The high-risk processing measures include outputting a processing flow for a high-risk fault type according to the fault type in the early warning information.

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