High-voltage electrical equipment temperature on-line monitoring system and method

Abstract

The invention discloses a high-voltage electrical equipment temperature on-line monitoring system and method. The high-voltage electrical equipment temperature on-line monitoring system comprises a cloud server, an Internet of Things gateway and multiple groups of temperature sensing equipment. The online temperature monitoring method for the high-voltage electrical equipment comprises the following steps: S1, selecting a plurality of temperature measuring points in the high-voltage electrical equipment, and arranging a group of temperature sensing equipment at each temperature measuring point; s2, temperature data of different temperature measuring points in the high-voltage electrical equipment are collected through multiple sets of temperature sensing equipment; s3, wirelessly uploading the collected temperature data to a cloud server through an Internet of Things gateway; s4, processing and analyzing the acquired temperature data and the working parameters of the temperature control equipment in the cloud server so as to automatically generate a control instruction; and S5, the control instruction is wirelessly transmitted to the corresponding equipment through the Internet of Things gateway.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature sensors, and in particular to a system and method for online temperature monitoring of high-voltage electrical equipment. Background Art

[0002] For high-voltage electrical equipment, in order to avoid serious accidents such as equipment aging, equipment burnout, power outage, primary equipment fire and explosion due to over-temperature, it is often necessary to conduct long-term temperature monitoring of each electrical node to avoid personal injury and economic loss to users due to serious faults.

[0003] At present, traditional temperature sensors for temperature monitoring of high-voltage electrical equipment mostly use wired connections, which are not only complicated to install, but also difficult to adapt to complex use environments. With the rapid development of Internet of Things technology, various types of intelligent sensors have been widely used in automatic control and monitoring systems. In recent years, the introduction of wireless sensor network technology has enabled temperature monitoring systems to complete remote transmission of temperature data without wiring. However, the existing Internet of Things temperature sensor system still has certain deficiencies in terms of wireless communication stability, energy efficiency, sensor accuracy, etc., and needs to be further improved.

[0004] Therefore, developing an efficient, stable, and low-power online temperature monitoring system and method for high-voltage electrical equipment has become an urgent need for the development of the industry. Summary of the invention

[0005] In order to solve the problems raised in the above background technology, the technical solution adopted by the present invention is:

[0006] A method for online temperature monitoring of high-voltage electrical equipment comprises the following steps:

[0007] S1. Select multiple temperature measuring points in the high-voltage electrical equipment and set a set of temperature sensing equipment at each temperature measuring point;

[0008] S2, collecting temperature data of different temperature measuring points inside the high-voltage electrical equipment through multiple groups of temperature sensing devices;

[0009] S3, wirelessly upload the collected temperature data to the cloud server through the IoT gateway;

[0010] S4, in the cloud server, processing and analyzing the collected temperature data and the working parameters of the temperature control device to automatically generate control instructions;

[0011] S5. The control command is wirelessly transmitted to the corresponding device through the IoT gateway.

[0012] In some embodiments, in step S1, the selected temperature measurement points include several contacts and joints in the high-voltage electrical equipment, and the measuring end of each temperature sensing device is placed in close contact with the corresponding temperature measurement point.

[0013] In some embodiments, each set of temperature sensing devices includes a housing and a power module, a microcontroller module, a temperature sensor module, and a wireless module installed in the housing;

[0014] The power module is used to supply power to the temperature sensing device;

[0015] The microcontroller module is electrically connected to the power module, the temperature sensor module and the wireless module respectively, so as to realize the intelligent control of the temperature sensing device;

[0016] The temperature sensor module is used to collect current temperature data;

[0017] The wireless module is used to wirelessly connect to the Internet of Things gateway, and then wirelessly connect to the cloud server through the Internet of Things gateway.

[0018] In some embodiments, in step S2, for any group of temperature sensing devices, initially according to a preset temperature collection frequency, the microcontroller module is automatically awakened after a period of time, the temperature sensor module is controlled to be powered on and collect current temperature data, and then the temperature sensor module is powered off, the wireless module is powered on and the temperature data is wirelessly uploaded to the cloud server through the Internet of Things gateway, and then the temperature sensing device enters a standby state and waits for the next temperature collection.

[0019] In some embodiments, in step S4, the temperature change rate is calculated based on the collected temperature data, thereby generating a control instruction for the temperature sensing device;

[0020] In step S5, the control instruction is transmitted to the corresponding temperature sensing device to adjust its temperature acquisition frequency, and the higher the temperature change rate, the higher the temperature acquisition frequency.

[0021] In some embodiments, in step S4, when calculating the temperature change rate, the following steps are included:

[0022] S41, suppose there are n groups of temperature sensing devices, with T ij represents the temperature data collected by the temperature sensing device of the i-th group in the j-th round, t ij Indicates the time when the i-th group of temperature sensing devices performs the j-th round of collection, 1≤i≤n, j≥1;

[0023] S42, calculate the temperature change rate corresponding to each round of each group of temperature sensing devices:

[0024]

[0025] y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices;

[0026] S43, calculate the corrected temperature change rate by the following formula:

[0027]

[0028] Y ij represents the temperature change rate of the i-th group of temperature sensing devices after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get;

[0029] S44, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij Generate control instructions for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices after the j-th round of collection.

[0030] In some embodiments, in step S4, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then, in step S5, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center via the wireless Internet of Things to issue an abnormality warning.

[0031] On the other hand, the present invention provides a high-voltage electrical equipment temperature online monitoring system, including a cloud server, an Internet of Things gateway and multiple groups of temperature sensing devices, and adopts the above-mentioned high-voltage electrical equipment temperature online monitoring method to realize the high-voltage electrical equipment temperature online monitoring.

[0032] In some embodiments, the power module includes a CT coil and a power management circuit;

[0033] The CT coil is used to supply power to the power management circuit through magnetic induction;

[0034] The power management circuit adopts the SPV1050 chip, which is used to output an adaptive voltage for each power consumption module.

[0035] In some embodiments, the microcontroller module uses an MCU of model Stm32U585QIT;

[0036] The temperature sensor module adopts a temperature sensor of model LM35CZ;

[0037] The wireless module adopts a wireless LORA module with model number E280-2G4T12S and is configured with an antenna extending outside the housing, and the Internet of Things gateway is a LORA Internet of Things gateway.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The system and method for online temperature monitoring of high-voltage electrical equipment provided by the present invention realize wireless remote temperature monitoring, avoid the installation complexity of traditional wired methods, improve the accuracy and stability of temperature sensors, adapt to complex environmental changes, and extend the service life of sensor equipment and reduce operation and maintenance costs through low-power design. Combined with a special algorithm, the temperature acquisition frequency is intelligently adjusted, and the reliability of the temperature sensor system is further improved. While minimizing energy consumption, timely response to temperature changes is guaranteed, further improving detection reliability and the safety of use of high-voltage electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of a flow chart of a method for online temperature monitoring of high-voltage electrical equipment provided by the present invention;

[0041] Figure 2 This is a schematic diagram of the online temperature monitoring system for high-voltage electrical equipment provided by the present invention. DETAILED DESCRIPTION

[0042] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the following further describes how the present invention is implemented in conjunction with the accompanying drawings and specific implementation methods.

[0043] Reference Figure 1 As shown, the present invention provides a method for online temperature monitoring of high-voltage electrical equipment, comprising the following steps:

[0044] S1, select multiple temperature measuring points in the high-voltage electrical equipment, and set a set of temperature sensing devices 10 at each temperature measuring point;

[0045] S2, collecting temperature data of different temperature measuring points inside the high-voltage electrical equipment through multiple groups of temperature sensing devices 10;

[0046] S3, wirelessly uploading the collected temperature data to the cloud server 20 via the IoT gateway 30;

[0047] S4, in the cloud server 20, processing and analyzing the collected temperature data and the working parameters of the temperature control device to automatically generate control instructions;

[0048] S5. The control instruction is wirelessly transmitted to the corresponding device through the Internet of Things gateway 30.

[0049] Furthermore, in step S1, the selected temperature measurement points include several contacts and joints in the high-voltage electrical equipment, and the measuring end of each temperature sensing device 10 is placed in close contact with the corresponding temperature measurement point.

[0050] For example, for high-voltage circuit breaker equipment, the circuit breaker contact connection parts heat up due to contact oxidation, dirt, equipment aging, and poor contact between the moving and static contacts. If not discovered and handled in time, it is easy to cause the equipment to burn; therefore, the temperature measurement point can be set at the moving and static contacts of the high-voltage circuit breaker. For high-voltage busbars and cable joints, the contact resistance increases due to aging, looseness, etc. When a large current passes through, heat will be generated, which can easily cause equipment to burn or sudden power outages; therefore, the temperature measurement point can be set at the busbar and cable joints. For transformer equipment, factors such as loose transformer nuts or small gasket area may cause the contact resistance of the wiring port to be too large, causing the temperature of the transformer inlet and outlet to be too high, thereby causing serious accidents; therefore, the temperature measurement point can be set at the transformer inlet and outlet.

[0051] Further references Figure 2 As shown, in step S1, each group of temperature sensing devices 10 includes a shell and a power module, a microcontroller module 1, a temperature sensor module 2 and a wireless module 3 installed in the shell; the power module is used to supply power to the temperature sensing device 10; the microcontroller module 1 is electrically connected to the power module, the temperature sensor module 2 and the wireless module 3 respectively, so as to realize intelligent control of the temperature sensing device 10; the temperature sensor module 2 is used to collect current temperature data; the wireless module 3 is used to wirelessly connect to the Internet of Things gateway 30, and then wirelessly connect to the cloud server 20 through the Internet of Things gateway 30.

[0052] Furthermore, in step S2, for any group of temperature sensing devices 10, initially according to the preset temperature collection frequency, the microcontroller module 1 is automatically awakened after a period of time (such as 5 minutes), the temperature sensor module 2 is controlled to be powered on and collect the current temperature data, and then the temperature sensor module 2 is powered off, the wireless module 3 is powered on and the temperature data is wirelessly uploaded to the cloud server 20 through the Internet of Things gateway 30, and then the temperature sensing device 10 enters a standby state and waits for the next temperature collection.

[0053] Furthermore, in step S4, the temperature change rate is calculated based on the collected temperature data, and then a control instruction for the temperature sensing device 10 is generated; in step S5, the control instruction is transmitted to the corresponding temperature sensing device 10 to adjust its temperature collection frequency, so that the higher the temperature change rate, the higher the temperature collection frequency.

[0054] In step S4, when calculating the temperature change rate, the following steps are included:

[0055] S41, suppose there are n groups of temperature sensing devices 10, with T ij represents the temperature data collected by the temperature sensing device 10 of the i-th group in the j-th round, t ij represents the time when the i-th group of temperature sensing devices 10 performs the j-th round of collection, 1≤i≤n, j≥1;

[0056] S42, calculating the temperature change rate corresponding to each round of each group of temperature sensing devices 10:

[0057]

[0058] y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices 10;

[0059] S43, calculate the corrected temperature change rate by the following formula:

[0060]

[0061] Y ij represents the temperature change rate of the i-th group of temperature sensing devices 10 after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices 10 a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get;

[0062] S44, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij A control instruction is generated for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices 10 after the j-th round of collection.

[0063] For example, in step S43, a=9 can be taken, that is, the temperature change rate of the previous 9 rounds and the current round, a total of 10 rounds, is comprehensively considered to calculate the corrected temperature change rate, avoiding the problem of large errors caused by the temperature change rate calculated by only considering the results of two acquisitions, and further improving the working stability of the wireless temperature sensor system. In this embodiment, temperature data is collected every 5 minutes in the initial state. As the temperature change rate increases, the collection period can be shortened to once every 30 seconds at the shortest.

[0064] In addition, in step S4, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then, in step S5, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center through the wireless Internet of Things to issue an abnormality warning.

[0065] Different warning methods can also be determined according to the degree of deviation between the temperature data and the preset temperature threshold. For example, when the degree of deviation between the temperature data and the preset temperature threshold reaches the first threshold but does not reach the second threshold, only a warning is issued to prompt the staff to conduct troubleshooting; and when the degree of deviation between the temperature data and the preset temperature threshold reaches the second threshold, not only a warning is issued, but also compulsory measures are automatically taken, such as forcibly cutting off the power supply to the corresponding electrical equipment.

[0066] On the other hand, the present invention provides a high-voltage electrical equipment temperature online monitoring system, including a cloud server 20, an Internet of Things gateway 30 and multiple groups of temperature sensing devices 10, and adopts the above-mentioned high-voltage electrical equipment temperature online monitoring method to realize the high-voltage electrical equipment temperature online monitoring.

[0067] In a specific embodiment, the power module includes a CT coil 4 and a power management circuit 5; the CT coil 4 is used to supply power to the power management circuit 5 through magnetic induction; the power management circuit 5 can use an SPV1050 chip to output an adaptive voltage for each power consumption module, and has the characteristics of ultra-low power consumption and high conversion efficiency.

[0068] The microcontroller module 1 may use an MCU of model Stm32U585QIT, which has the characteristics of ultra-low power consumption and is responsible for data acquisition and transmission control.

[0069] The temperature sensor module 2 may use a temperature sensor of model LM35CZ, which has the characteristics of low power consumption, fast response and high precision.

[0070] The wireless module 3 can adopt a wireless LORA module of model E280-2G4T12S, which has the characteristics of long-distance transmission and high transmission rate, and is responsible for data acquisition and transmission control; and is equipped with an antenna 6 extending outside the shell; the Internet of Things gateway 30 is correspondingly a LORA Internet of Things gateway.

[0071] In addition, the shell can be made of ABS material that is resistant to high temperature and aging. The entire circuit adopts an ultra-low power consumption design, and the current in the standby state is below 1uA.

[0072] In summary, the online temperature monitoring system and method for high-voltage electrical equipment provided by the present invention realize wireless remote temperature monitoring, avoid the installation complexity of traditional wired methods, improve the accuracy and stability of temperature sensors, adapt to complex environmental changes, and extend the service life of sensor equipment and reduce operation and maintenance costs through low-power design; combined with special algorithms, the temperature acquisition frequency is intelligently adjusted, and the reliability of the temperature sensor system is further improved, ensuring timely response to temperature changes while minimizing energy consumption, further improving detection reliability and the safety of use of high-voltage electrical equipment.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A method for online temperature monitoring of high-voltage electrical equipment, characterized in that: The steps include: S1. Select multiple temperature measuring points in the high-voltage electrical equipment, and set a set of temperature sensing devices (10) at each temperature measuring point; S2, collecting temperature data of different temperature measuring points inside the high-voltage electrical equipment through multiple groups of temperature sensing devices (10); S3, wirelessly uploading the collected temperature data to the cloud server (20) via the Internet of Things gateway (30); S4, processing and analyzing the collected temperature data and the working parameters of the temperature control device on the cloud server (20) to automatically generate control instructions; S5. The control instruction is wirelessly transmitted to the corresponding device via the Internet of Things gateway (30).

2. The management method of the high-voltage electrical equipment temperature online monitoring system according to claim 1 is characterized in that: In step S1, the selected temperature measurement points include a plurality of contacts and joints in the high-voltage electrical equipment, and the measuring end of each temperature sensing device (10) is placed in close contact with the corresponding temperature measurement point.

3. The method for online temperature monitoring of high-voltage electrical equipment according to claim 2, characterized in that: In step S1, each set of temperature sensing devices (10) comprises a housing and a power module, a microcontroller module (1), a temperature sensor module (2) and a wireless module (3) installed in the housing; The power module is used to supply power to the temperature sensing device (10); The microcontrol module (1) is electrically connected to the power module, the temperature sensor module (2) and the wireless module (3) respectively, and is used to realize intelligent control of the temperature sensing device (10); The temperature sensor module (2) is used to collect current temperature data; The wireless module (3) is used to wirelessly connect to an Internet of Things gateway (30), and further to wirelessly connect to a cloud server (20) via the Internet of Things gateway (30).

4. The management method of the high-voltage electrical equipment temperature online monitoring system according to claim 3 is characterized in that: In step S2, for any group of temperature sensing devices (10), initially according to a preset temperature acquisition frequency, the microcontroller module (1) is automatically awakened after a certain period of time, and the temperature sensor module (2) is controlled to be powered on and acquire current temperature data. Then, the temperature sensor module (2) is powered off, and the wireless module (3) is powered on and the temperature data is wirelessly uploaded to the cloud server (20) via the Internet of Things gateway (30). Then, the temperature sensing device (10) enters a standby state and waits for the next temperature acquisition.

5. The management method of the high-voltage electrical equipment temperature online monitoring system according to claim 3 is characterized in that: In step S4, the temperature change rate is calculated based on the collected temperature data, and a control instruction for the temperature sensing device (10) is generated; In step S5, a control instruction is transmitted to the corresponding temperature sensing device (10) to adjust its temperature acquisition frequency, so that the higher the temperature change rate, the higher the temperature acquisition frequency.

6. The management method of the high-voltage electrical equipment temperature online monitoring system according to claim 5, characterized in that: In step S4, when calculating the temperature change rate, the following steps are included: S41. Assume there are n groups of temperature sensing devices (10), and use T ij represents the temperature data collected by the i-th group of temperature sensing devices (10) in the j-th round, t ij represents the time when the i-th group of temperature sensing devices (10) performs the j-th round of collection, 1≤i≤n, j≥1; S42, calculating the temperature change rate corresponding to each round of each group of temperature sensing devices (10): y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices (10); S43, calculate the corrected temperature change rate by the following formula: Y ij represents the temperature change rate of the i-th group of temperature sensing devices (10) after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices (10) a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get; S44, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij A control instruction is generated for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices (10) after the j-th round of collection.

7. The management method of the high-voltage electrical equipment temperature online monitoring system according to claim 3 is characterized in that: In step S4, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then in step S5, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center through the wireless Internet of Things to issue an abnormality warning.

8. A high-voltage electrical equipment temperature online monitoring system, characterized in that: It comprises a cloud server (20), an Internet of Things gateway (30) and multiple groups of temperature sensing devices (10), and adopts the high-voltage electrical equipment temperature online monitoring method described in any one of claims 3 to 7 to realize the high-voltage electrical equipment temperature online monitoring.

9. The high-voltage electrical equipment temperature online monitoring system according to claim 8, characterized in that: The power module comprises a CT coil (4) and a power management circuit (5); The CT coil (4) is used to supply power to the power management circuit (5) by taking power through magnetic induction; The power management circuit (5) adopts an SPV1050 chip and is used to output an adaptive voltage for each power consumption module.

10. The high-voltage electrical equipment temperature online monitoring system according to claim 8, characterized in that: The microcontroller module (1) adopts an MCU of model Stm32U585QIT; The temperature sensor module (2) adopts a temperature sensor of model LM35CZ; The wireless module (3) adopts a wireless LORA module of model E280-2G4T12S and is provided with an antenna (6) extending outside the housing; the Internet of Things gateway (30) is a LORA Internet of Things gateway.

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