Secondary electric box automatic temperature monitoring and fan cooling treatment system

Abstract

The invention relates to the technical field of power equipment, in particular to an automatic temperature monitoring and fan cooling treatment system for a secondary electric box. The method comprises the steps that a temperature monitoring unit monitors temperature changes of all areas in a secondary electric box in real time and transmits temperature data of the electric box to a data processing unit; the data processing unit is used for analyzing electric box temperature data of the temperature sensor; the fan cooling unit is used for controlling a fan switch according to the temperature of the electric box and dynamically adjusting an electric box temperature threshold value and a fan starting strategy through a fan strategy optimization algorithm; and the alarm and recording unit is used for triggering sound-light alarm and automatically recording temperature data of the electric box and a system processing process under the condition that the temperature of the electric box is continuously abnormal. According to the secondary electric box automatic temperature monitoring and fan cooling processing system, a fan strategy optimization algorithm is utilized, the starting time and the rotating speed of the fan are dynamically adjusted according to the actual temperature change, and efficient and energy-saving secondary electric box cooling under different loads is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of electric power equipment, and in particular to a secondary electric box automatic temperature monitoring and fan cooling processing system. Background Art

[0002] When the secondary electric box is running for a long time or under high load, the internal temperature is likely to rise, which may cause equipment damage or trigger a safety accident. The secondary electric box automatically monitors the temperature and performs fan cooling processing. The system is designed to monitor the temperature changes inside the electric box in real time and intelligently control the cooling strategy of the fan. Through the fan strategy optimization algorithm, the temperature threshold and fan speed are dynamically adjusted, and the start-up time and speed of the fan are controlled to achieve efficient cooling, energy saving and extend the service life of the equipment.

[0003] The existing electric box automatic temperature monitoring and fan cooling processing system is usually difficult to achieve accurate fan start time and speed control according to the actual temperature changes. In addition, due to the complex temperature change trend and unstable environmental conditions, it will cause the fan to start and stop frequently, consume too much energy and have a delayed response. Therefore, a secondary electric box automatic temperature monitoring and fan cooling processing system is designed. Summary of the invention

[0004] The purpose of the present invention is to provide a secondary electrical box that automatically monitors temperature and performs fan cooling processing system to solve the problems raised in the above background technology that the fan frequently starts and stops, consumes too much energy and has a delayed response due to complex temperature change trends and unstable environmental conditions.

[0005] To achieve the above object, the present invention aims to provide a secondary electric box automatic temperature monitoring and fan cooling processing system, comprising:

[0006] A temperature monitoring unit, which uses a temperature sensor to monitor the temperature changes of various areas inside the secondary electric box in real time, and transmits the temperature data of the electric box to the data processing unit in real time through the communication module;

[0007] It also includes a data processing unit, which is used to analyze the temperature data of the electric box of the temperature sensor;

[0008] It also includes a fan cooling unit, which is used to control the fan switch according to the temperature of the electric box, and dynamically adjust the temperature threshold of the electric box and the fan start-up strategy through a fan strategy optimization algorithm;

[0009] It also includes an alarm and recording unit, which is used to trigger an audible and visual alarm and automatically record the temperature data of the electric box and the system processing process when the temperature of the electric box continues to be abnormal.

[0010] As a further improvement of the technical solution, the temperature monitoring unit includes a temperature acquisition module and a communication module;

[0011] The temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of each area in the secondary electric box in real time;

[0012] The communication module is responsible for transmitting the real-time temperature data of the electric box to the data processing unit in real time through the industrial field bus and the low-power Zigbee wireless mode.

[0013] As a further improvement of the technical solution, the data processing unit includes a data analysis module and a self-learning control module;

[0014] Wherein, the data analysis module is used to process and analyze the temperature data of the electric box, identify anomalies and calculate the temperature change parameters of the electric box;

[0015] The self-learning control module uses a fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy.

[0016] As a further improvement of the technical solution, the temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of the electric box in each area of ​​the secondary electric box in real time. The specific method is as follows:

[0017] S2.1.1. In different areas of the secondary electric box, according to N temperature sensors, calculate the electric box temperature data function collected by each temperature sensor as T i (t);

[0018] Among them, T i (t) is the temperature data function of the electric box over time t for the i-th temperature sensor;

[0019] According to the formula and temperature data function T i (t) Calculate the temperature change rate of the i-th temperature sensor;

[0020]

[0021] in, is the temperature change rate of the i-th temperature sensor over time t;

[0022] S2.1.2. Calculate the instantaneous rate of change of the average temperature of N temperature sensors

[0023] As a further improvement of the technical solution, in S2.1.2, the temperature change function of the average temperature of N temperature sensors is calculated, and the specific method is as follows:

[0024] Calculate the average temperature of N temperature sensors

[0025]

[0026] Average temperature To perform the derivation:

[0027]

[0028] Simplified:

[0029]

[0030] Where N is the total number of temperature sensors; is the instantaneous rate of change of the average temperature of all sensors.

[0031] As a further improvement of the technical solution, the self-learning control module uses a fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy. The specific steps are as follows:

[0032] S2.2.1. Instantaneous rate of change of the average temperature used Dynamically adjust the temperature threshold T of the electric box thres hold ;

[0033] S2.2.2. Record the temperature change of the electric box at different fan speeds and different start-up times, and analyze the relationship between the fan speed and running time and the change in the average value of the electric box temperature.

[0034] As a further improvement of the technical solution, in S2.2.1, the instantaneous rate of change of the average temperature is used Dynamically adjust the temperature threshold T of the electric box thres hold , the specific method is as follows:

[0035]

[0036] Among them, T base is the initial temperature threshold; α is the adjustment coefficient;

[0037] In S2.2.2, the temperature change of the electric box at different fan speeds and different start-up times is recorded, and the relationship between the fan speed and running time and the change in the average value of the electric box temperature is analyzed. The specific method is as follows:

[0038] The relationship between the fan speed and running time and the change in the average value of the box temperature is analyzed according to the following formula:

[0039]

[0040] in, is the decrease in the average temperature of the electric box after time t; R fanis the speed of the fan; t on is the fan running time; β1 is the influence coefficient of speed and time on temperature change; β2 is the reference value of the electric box temperature change.

[0041] As a further improvement of the technical solution, the fan cooling unit includes a fan switch control module and a fan speed adjustment module;

[0042] Wherein, the fan switch control module determines whether the fan needs to be turned on through the data processing unit;

[0043] When the current electric box temperature T current Exceeds the preset temperature threshold T thres hold When the fan is turned on;

[0044] When the current electric box temperature T current Does not exceed the preset temperature threshold T thres hold The fan remains off;

[0045] The fan adjustment module monitors the instantaneous rate of change of the average temperature. Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm;

[0046] As a further improvement of the technical solution, the fan adjustment module monitors the instantaneous rate of change of the average temperature. Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm, as follows:

[0047] S3.1, by monitoring the instantaneous rate of change of the average temperature Optimize the fan operation strategy;

[0048] According to the formula By adjusting R fan The size of R is used to control the rate of temperature drop; when the temperature rises faster, increase R fan Reduce the temperature faster; when the temperature changes slowly, R fan .

[0049] S3.2, Instantaneous rate of change of the average temperature Combine the fan strategy optimization algorithm to optimize the fan startup time strategy and fan speed strategy;

[0050] Fan startup time policy:

[0051] when When the temperature is too high, the system determines that the temperature is rising quickly and the fan starts in advance. When it is smaller, the fan starts with a delay;

[0052] Fan speed policy:

[0053] According to the formula combined with the current electric box temperature T current and the target temperature T of the electric box target , adjust the fan speed:

[0054] R fan =R base +γ·(T current -T target );

[0055] Among them, R base is the current speed of the fan; γ is the fan speed adjustment coefficient.

[0056] As a further improvement of the technical solution, the alarm and recording unit includes an alarm function module and a recording function module;

[0057] The alarm function module is used to alarm when the internal temperature of the electric box exceeds the safety threshold T thres hold If the device fails to return to normal within a certain period of time, the alarm function will be triggered. The specific steps are as follows:

[0058] S4.1. The temperature monitoring unit will continuously monitor the internal temperature of the electrical box. When the temperature exceeds the preset safety threshold T thres hold , the system will start timing. When the temperature does not fall back to the normal range within the set time, the alarm function module will trigger an alarm signal; a high-decibel warning sound will be emitted through the sound and light alarm device, and a warning light will be lit at the same time;

[0059] The recording function module is used to automatically record the temperature data of the electric box, the system status when the alarm is triggered, the operation of the fan cooling unit and the system processing flow. The specific steps are as follows:

[0060] S4.2. When the temperature of the electric box is abnormal, the system records the temperature data of the temperature sensor, including the temperature change before and after exceeding the threshold, and the instantaneous change rate of the average temperature. Records the system's handling process during temperature anomalies, including the timing of fan startup and speed adjustment, and fan speed.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] 1. The secondary electrical box automatically monitors the temperature and performs fan cooling processing in the system. The temperature threshold and fan start-up strategy are dynamically adjusted based on the fan strategy optimization algorithm. The fan start-up time and speed can be accurately controlled according to the temperature change trend in the electrical box to avoid problems such as excessive temperature fluctuations or excessive energy consumption.

[0063] 2. The secondary electrical box automatically monitors the temperature and performs fan cooling processing in the system. By monitoring the instantaneous rate of change of the average temperature and combining it with the fan speed adjustment module, efficient cooling and energy-saving optimization are achieved, so that the fan can reasonably adjust the speed under different temperature conditions, ensuring stable operation of the system and extending the life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flowchart of the overall process of the present invention.

[0065] The meaning of each number in the figure is:

[0066] 1. Temperature monitoring unit; 2. Data processing unit; 3. Fan cooling unit; 4. Alarm and recording unit. DETAILED DESCRIPTION

[0067] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] Example

[0069] See also Figure 1 As shown, a secondary electric box is provided with an automatic temperature monitoring and fan cooling system, including

[0070] The temperature monitoring unit 1 uses a temperature sensor to monitor the temperature changes of various areas inside the secondary electric box in real time, and transmits the temperature data of the electric box to the data processing unit 2 in real time through the communication module;

[0071] In this embodiment, the temperature monitoring unit 1 includes a temperature acquisition module and a communication module;

[0072] The temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of each area in the secondary electric box in real time;

[0073] The communication module is responsible for transmitting the real-time temperature data of the electric box to the data processing unit 2 in real time via the industrial field bus and the low-power Zigbee wireless mode.

[0074] It also includes a data processing unit 2, which is used to analyze the temperature data of the electric box of the temperature sensor;

[0075] In this embodiment, the data processing unit 2 includes a data analysis module and a self-learning control module;

[0076] Wherein, the data analysis module is used to process and analyze the temperature data of the electric box, identify anomalies and calculate the temperature change parameters of the electric box;

[0077] The self-learning control module uses a fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy.

[0078] In this embodiment, the temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of each area in the secondary electric box in real time. The specific method is as follows:

[0079] S2.1.1. In different areas of the secondary electric box, according to N temperature sensors, calculate the electric box temperature data function collected by each temperature sensor as Ti ( t);

[0080] Among them, T i (t) is the temperature data function of the electric box over time t for the i-th temperature sensor;

[0081] According to the formula and temperature data function T i (t) Calculate the temperature change rate of the i-th temperature sensor;

[0082]

[0083] in, is the temperature change rate of the i-th temperature sensor over time t;

[0084] S2.1.2. Calculate the instantaneous rate of change of the average temperature of N temperature sensors

[0085] In this embodiment, in S2.1.2, the temperature variation function of the average temperature of N temperature sensors is calculated, and the specific method is as follows:

[0086] Calculate the average temperature of N temperature sensors

[0087]

[0088] Average temperature To perform the derivation:

[0089]

[0090] Simplified:

[0091]

[0092] Where N is the total number of temperature sensors; is the instantaneous rate of change of the average temperature of all sensors.

[0093] In this embodiment, the self-learning control module uses the fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy. The specific steps are as follows:

[0094] S2.2.1. Instantaneous rate of change of the average temperature used Dynamically adjust the temperature threshold T of the electric box thres hold ;

[0095] S2.2.2. Record the temperature change of the electric box at different fan speeds and different start-up times, and analyze the relationship between the fan speed and running time and the change in the average value of the electric box temperature.

[0096] In this embodiment, in S2.2.1, the instantaneous rate of change of the average temperature is used. Dynamically adjust the temperature threshold T of the electric box thres hold , the specific method is as follows:

[0097]

[0098] Among them, T base is the initial temperature threshold; α is the adjustment coefficient;

[0099] when When it is larger, it indicates that the temperature inside the electric box rises rapidly, and the system will lower the threshold to start the fan earlier;

[0100] when When it is smaller, the system will increase the threshold, delay the fan start-up, and save energy;

[0101] α is used to adjust the temperature change rate to the threshold T thres hold The coefficient of influence. It determines the rate of temperature change The correction amount for the temperature threshold. A larger α means that the system is sensitive to temperature changes and the fan will start earlier; a smaller α means that the system is relatively conservative and the fan will start relatively late;

[0102] α is obtained through system debugging or based on historical data analysis.

[0103] In S2.2.2, the temperature change of the electric box at different fan speeds and different start-up times is recorded, and the relationship between the fan speed and running time and the change in the average value of the electric box temperature is analyzed. The specific method is as follows:

[0104] The relationship between the fan speed and running time and the change in the average value of the box temperature is analyzed according to the following formula:

[0105]

[0106] in, is the decrease in the average temperature of the electric box after time t; R fan is the speed of the fan; t on is the fan running time; β1 is the influence coefficient of speed and time on temperature change; β2 is the reference value of the electric box temperature change.

[0107] The specific value of β1 is determined by parameters such as the system's heat dissipation efficiency, fan power, and heat capacity of the electrical box, and is obtained through experiments or historical data fitting. β2 represents the temperature when there is no fan running or the fan running is not significant. Due to other external factors, the specific value of β2 is estimated through experimental data or according to actual usage conditions.

[0108] It also includes a fan cooling unit 3, which is used to control the fan switch according to the temperature of the electric box, and dynamically adjust the temperature threshold of the electric box and the fan start-up strategy through a fan strategy optimization algorithm;

[0109] The fan cooling unit 3 includes a fan switch control module and a fan speed adjustment module;

[0110] Wherein, the fan switch control module determines whether the fan needs to be turned on through the data processing unit 2;

[0111] When the current electric box temperature T current Exceeds the preset temperature threshold T thres hold When the fan is turned on;

[0112] When the current electric box temperature T current Does not exceed the preset temperature threshold T thres hold The fan remains off;

[0113] The fan adjustment module monitors the instantaneous rate of change of the average temperature. Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm;

[0114] In this embodiment, the fan adjustment module monitors the instantaneous rate of change of the average temperature. Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm, as follows:

[0115] S3.1, by monitoring the instantaneous rate of change of the average temperature Optimize the fan operation strategy;

[0116] According to the formula By adjusting R fan The size of R is used to control the rate of temperature drop; when the temperature rises faster, increase R fan Reduce the temperature faster; when the temperature changes slowly, Rfan .

[0117] S3.2, Instantaneous rate of change of the average temperature Combine the fan strategy optimization algorithm to optimize the fan startup time strategy and fan speed strategy;

[0118] Fan startup time policy:

[0119] when When the temperature is too high, the system determines that the temperature is rising quickly and the fan starts in advance. When it is smaller, the fan starts with a delay;

[0120] Fan speed policy:

[0121] According to the formula combined with the current electric box temperature T current and the target temperature T of the electric box target , adjust the fan speed:

[0122] R fan =R base +γ·(T current -T target );

[0123] Among them, R base is the current speed of the fan; γ is the fan speed adjustment coefficient.

[0124] The initial value of γ is determined through experiments.

[0125] It also includes an alarm and recording unit 4, which is used to trigger an audible and visual alarm and automatically record the temperature data of the electric box and the system processing process when the temperature of the electric box continues to be abnormal;

[0126] In this embodiment, the alarm and recording unit 4 includes an alarm function module and a recording function module;

[0127] The alarm function module is used to alarm when the internal temperature of the electric box exceeds the safety threshold T thres hold If the device fails to return to normal within a certain period of time, the alarm function will be triggered. The specific steps are as follows:

[0128] S4.1, the temperature monitoring unit 1 will continuously monitor the internal temperature of the electric box. When the temperature exceeds the preset safety threshold T thres hold , the system will start timing. When the temperature does not fall back to the normal range within the set time, the alarm function module will trigger an alarm signal; a high-decibel warning sound will be emitted through the sound and light alarm device, and a warning light will be lit at the same time;

[0129] The recording function module is used to automatically record the temperature data of the electric box, the system status when the alarm is triggered, the operation of the fan cooling unit and the system processing flow. The specific steps are as follows:

[0130] S4.2. When the temperature of the electric box is abnormal, the system records the temperature data of the temperature sensor, including the temperature change before and after exceeding the threshold, and the instantaneous change rate of the average temperature. Records the system's handling process during temperature anomalies, including the timing of fan startup and speed adjustment, and fan speed.

[0131] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. The secondary electric box automatically monitors the temperature and performs fan cooling treatment system, which is characterized by: include: A temperature monitoring unit (1), wherein the temperature monitoring unit (1) uses a temperature sensor to monitor the temperature changes of various areas inside the secondary electrical box in real time, and transmits the electrical box temperature data to the data processing unit (2) in real time through a communication module; A data processing unit (2), the data processing unit (2) being used to analyze the electrical box temperature data of the temperature sensor; A fan cooling unit (3), the fan cooling unit (3) is used to control the fan switch according to the temperature of the electric box, and dynamically adjust the temperature threshold of the electric box and the fan start-up strategy through a fan strategy optimization algorithm; An alarm and recording unit (4) is used to trigger an audible and visual alarm and automatically record the temperature data of the electric box and the system processing process when the temperature of the electric box continues to be abnormal.

2. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 1 is characterized in that: The temperature monitoring unit (1) comprises a temperature acquisition module and a communication module; The temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of each area in the secondary electric box in real time; The communication module is responsible for transmitting the real-time temperature data of the electric box to the data processing unit (2) in real time via the industrial field bus and the low-power consumption Zigbee wireless mode.

3. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 1 is characterized in that: The data processing unit (2) comprises a data analysis module and a self-learning control module; Wherein, the data analysis module is used to process and analyze the temperature data of the electric box, identify anomalies and calculate the temperature change parameters of the electric box; The self-learning control module uses a fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy.

4. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 3 is characterized by: The temperature acquisition module is equipped with distributed temperature sensors to capture the temperature data of each area in the secondary electric box in real time. The specific method is as follows: S2.1.

1. In different areas of the secondary electric box, according to N temperature sensors, calculate the electric box temperature data function collected by each temperature sensor as T i (t); Among them, T i (t) is the temperature data function of the electric box over time t for the i-th temperature sensor; According to the formula and temperature data function T i (t) Calculate the temperature change rate of the i-th temperature sensor; in, is the temperature change rate of the i-th temperature sensor over time t; S2.1.

2. Calculate the instantaneous rate of change of the average temperature of N temperature sensors 5. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 4 is characterized in that: In S2.1.2, the temperature variation function of the average temperature of N temperature sensors is calculated, and the specific method is as follows: Calculate the average temperature of N temperature sensors Average temperature Take the derivative: Simplified: Where N is the total number of temperature sensors; is the instantaneous rate of change of the average temperature of all sensors.

6. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 3 is characterized by: The self-learning control module uses the fan strategy optimization algorithm to dynamically adjust the temperature threshold of the electric box and the fan startup strategy. The specific steps are as follows: S2.2.

1. Instantaneous rate of change of the average temperature used Dynamically adjust the temperature threshold T of the electric box threshold ; S2.2.

2. Record the temperature change of the electric box at different fan speeds and different start-up times, and analyze the relationship between the fan speed and running time and the change in the average value of the electric box temperature.

7. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 6 is characterized in that: In S2.2.1, the instantaneous rate of change of the average temperature is used Dynamically adjust the temperature threshold T of the electric box thershold , the specific method is as follows: Among them, T base is the initial temperature threshold; α is the adjustment coefficient; In S2.2.2, the temperature change of the electric box at different fan speeds and different start-up times is recorded, and the relationship between the fan speed and running time and the change in the average value of the electric box temperature is analyzed. The specific method is as follows: The relationship between the fan speed and running time and the change in the average value of the box temperature is analyzed according to the following formula: in, is the decrease in the average temperature of the electric box after time t; R fan is the speed of the fan; t on is the fan running time; β1 is the influence coefficient of speed and time on temperature change; β2 is the reference value of the electric box temperature change.

8. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 1 is characterized in that: The fan cooling unit (3) comprises a fan switch control module and a fan speed adjustment module; The fan switch control module determines whether the fan needs to be turned on through the data processing unit (2); When the current electric box temperature T current Exceeds the preset temperature threshold T threshold When the fan is turned on; When the current electric box temperature T current Does not exceed the preset temperature threshold T threshold The fan remains off; The fan adjustment module monitors the instantaneous rate of change of the average temperature. Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm.

9. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 8 is characterized in that: The fan regulation module monitors the instantaneous rate of change of the average temperature Optimize the fan operation strategy, and optimize the fan startup time strategy and fan speed strategy in combination with the fan strategy optimization algorithm, as follows: S3.1, by monitoring the instantaneous rate of change of the average temperature Optimize the fan operation strategy; According to the formula By adjusting R fan The size of R is used to control the rate of temperature drop; when the temperature rises faster, increase R fan Reduce the temperature faster; when the temperature changes slowly, R fan . S3.2, Instantaneous rate of change of the average temperature Combine the fan strategy optimization algorithm to optimize the fan startup time strategy and fan speed strategy; Fan start time policy: when When the temperature is too high, the system determines that the temperature is rising quickly and the fan starts in advance. When it is smaller, the fan starts with a delay; Fan speed policy: According to the formula combined with the current electric box temperature T current and the target temperature T of the electric box target , adjust the fan speed: R fan =R base +γ·(T current -T target ); Among them, R base is the current speed of the fan; γ is the fan speed adjustment coefficient.

10. The secondary electric box automatic temperature monitoring and fan cooling processing system according to claim 1 is characterized in that: The alarm and recording unit (4) comprises an alarm function module and a recording function module; The alarm function module is used to alarm when the internal temperature of the electric box exceeds the safety threshold T threshold If the device fails to return to normal within a certain period of time, the alarm function will be triggered. The specific steps are as follows: S4.

1. The temperature monitoring unit (1) continuously monitors the internal temperature of the electrical box. When the temperature exceeds the preset safety threshold T threshold , the system will start timing. When the temperature does not fall back to the normal range within the set time, the alarm function module will trigger an alarm signal; a high-decibel warning sound will be emitted through the sound and light alarm device, and a warning light will be lit at the same time; The recording function module is used to automatically record the temperature data of the electric box, the system status when the alarm is triggered, the operation of the fan cooling unit and the system processing flow. The specific steps are as follows: S4.

2. When the temperature of the electric box is abnormal, the system records the temperature data of the temperature sensor, including the temperature change before and after exceeding the threshold, and the instantaneous change rate of the average temperature. Records the system's handling process during temperature anomalies, including the timing of fan startup and speed adjustment, and fan speed.

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