A high-voltage frequency converter heat dissipation air duct abnormality detection method based on air pressure in the air duct

Abstract

The present application relates to a kind of high-voltage frequency converter heat dissipation air duct abnormality detection methods based on air pressure in air duct, belong to power electronics technical field.The method includes the following steps: S1, sampling obtains ambient temperature, air pressure in air duct and ambient air pressure;S2, using ideal wind pressure function and reasonable deviation function to calculate ideal air pressure in air duct and reasonable deviation;S3, compare air pressure in air duct with ideal air pressure in air duct and reasonable deviation, judge the state of heat dissipation air duct.The present application compares wind pressure in air duct with ideal wind pressure in real time, judges the abnormal state of heat dissipation air duct in time effectively, sends out alarm when air duct appears abnormal, prompts to overhaul maintenance, reduces unnecessary downtime loss.

Description

Technical Field

[0001] This invention belongs to the field of power electronics technology and relates to a method for detecting abnormalities in the heat dissipation air duct of a high-voltage frequency converter based on the air pressure inside the duct. Background Technology

[0002] In large power electronic equipment, the failure rate increases with increasing temperature. Therefore, the heat dissipation of power devices in high-voltage frequency converters directly affects the reliability and stability of the equipment. High-voltage frequency converters often require extremely high reliability; statistics show that over 50% of electronic thermal failures are caused by temperatures exceeding rated values. High-voltage frequency converters have high power, typically in the MW range, and generate a large amount of heat during normal operation. To ensure the normal operation of the equipment, dissipating this large amount of heat and achieving efficient heat dissipation is essential for improving equipment reliability. While excellent heat dissipation design is important for achieving efficient heat dissipation, methods for detecting abnormal airflow are also indispensable. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method for detecting abnormalities in the cooling air duct of a high-voltage frequency converter based on the air pressure inside the duct, so as to timely and effectively determine the abnormal state of the cooling air duct and reduce downtime losses.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A method for detecting abnormalities in the cooling air duct of a high-voltage frequency converter based on the air pressure inside the duct, specifically including the following steps:

[0006] S1. The ambient temperature T0, the air pressure P inside the air duct, and the ambient air pressure P0 were obtained by sampling.

[0007] S2, Using a preset ideal wind pressure function P i =f1(T,P) and reasonable deviation function X i =f2(T,P) calculates the ideal air pressure P1=f1(T0,P0) and the reasonable deviation X1=f2(T0,P0) in the air duct;

[0008] S3. Compare the air pressure P inside the air duct with the ideal air pressure P1 inside the air duct and the reasonable deviation X1 to determine the state of the heat dissipation air duct.

[0009] Furthermore, step S3 specifically includes the following steps:

[0010] S31. Compare whether the air pressure P in the air duct satisfies P1-X1<P<P1+X1. If it satisfies, it is determined that there is no abnormality in the heat dissipation air duct and the process returns to step S1. If it does not satisfy, proceed to step S32.

[0011] S32. Compare whether the air pressure P in the air duct satisfies P < P1 - X1. If it does, determine that the air intake of the heat dissipation air duct is abnormal and return to step S1. If it does not satisfy, and P > P1 + X1, determine that the air outlet of the heat dissipation air duct is abnormal and return to step S1.

[0012] Furthermore, the ideal wind pressure function is obtained by fitting the air pressure inside the duct, the ambient air pressure, and the ambient temperature using the least squares method.

[0013] Furthermore, the reasonable deviation function is specifically obtained by first subtracting the ideal air pressure P1 in the duct from the actual air pressure P in the duct, taking the absolute value of the difference, and then using the least squares method to fit the absolute value, ambient temperature, and ambient air pressure.

[0014] The beneficial effects of this invention are as follows: by comparing the air pressure inside the air duct with its ideal air pressure in real time, this invention can promptly and effectively determine the abnormal state of the heat dissipation air duct, and issue an alarm when the air duct is in an abnormal state, reminding staff to carry out timely inspection and maintenance, thereby reducing unnecessary downtime losses.

[0015] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0016] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein:

[0017] Figure 1 This is a flowchart of the heat dissipation airflow duct abnormality detection method of the present invention. Detailed Implementation

[0018] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0019] Please see Figure 1 The specific steps of the high-voltage inverter cooling duct anomaly detection method based on air pressure inside the duct include:

[0020] 1. The air pressure P inside the air duct, the ambient air pressure P0, and the ambient temperature T0 are detected by two air pressure sensors and one temperature sensor, and then transmitted to the processor after being converted by AD.

[0021] 2. The processor calculates the ideal wind pressure function P based on the preset parameters. i =f1(T,P) and reasonable deviation function X i =f2(T,P) calculates the ideal duct air pressure P1=f1(T0,P0) and the reasonable deviation X1=f2(T0,P0);

[0022] The ideal wind pressure function is specifically obtained by fitting a binary function to the air pressure inside the duct, the ambient air pressure, and the ambient temperature using the least squares method, based on experimental data and the operating data of the heat dissipation duct.

[0023] The reasonable deviation function is obtained by first subtracting the ideal air pressure P1 in the duct from the actual air pressure P in the duct, taking the absolute value of the difference, and then using the least squares method to fit a bivariate function to the absolute value, ambient temperature, and ambient air pressure.

[0024] 3. Compare whether the air pressure P inside the air duct satisfies P1-X1<P<P1+X1;

[0025] 4. If the condition is met, then there is no abnormality in the heat dissipation airflow. Return to step 1 and repeat steps 1 to 3.

[0026] 5. If not satisfied, compare whether the air pressure P in the air duct satisfies P < P1 - X1;

[0027] 6. If the condition is met, the air intake of the heat dissipation duct is abnormal. Return to step 1 and repeat steps 1 to 5.

[0028] 7. If the condition is not met and P > P1 + X1, then the airflow from the heat dissipation duct is abnormal. Return to step 1 and repeat steps 1 to 6.

[0029] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for detecting abnormalities in the cooling duct of a high-voltage frequency converter based on air pressure within the duct, characterized in that: Includes the following steps: S1. The ambient temperature T0, the air pressure P inside the air duct, and the ambient air pressure P0 were obtained by sampling. S2. Calculate the ideal air pressure P1 and reasonable deviation X1 within the duct; where the ideal air pressure is calculated using a preset ideal air pressure function P. i =f1(T,P) is calculated, and the reasonable deviation is obtained through the preset reasonable deviation function X. i = f2(T,P) is calculated; The ideal wind pressure function and the reasonable deviation function are mathematical models obtained by multivariate fitting using the least squares method. S3. Compare the air pressure P inside the air duct with the ideal air pressure P1 inside the air duct and the reasonable deviation X1 to determine the state of the heat dissipation air duct, including: S31. Compare whether the air pressure P inside the air duct satisfies P1-X1<P<P1+X1. If it satisfies, it is determined that there is no abnormality in the heat dissipation air duct and the process returns to step S1; if it does not satisfy, proceed to step S32. S32. Compare whether the air pressure P in the air duct satisfies P < P1 - X1. If it does, determine that the air intake of the heat dissipation air duct is abnormal and return to step S1. If it does not satisfy, and P > P1 + X1, determine that the air outlet of the heat dissipation air duct is abnormal and return to step S1.

2. The method for detecting abnormalities in the heat dissipation duct of a high-voltage frequency converter based on air pressure within the duct, as described in claim 1, is characterized in that: The ideal wind pressure function is specifically obtained by fitting the air pressure inside the duct, the ambient air pressure, and the ambient temperature using the least squares method.

3. The method for detecting abnormalities in the heat dissipation duct of a high-voltage frequency converter based on air pressure within the duct, as described in claim 1, is characterized in that: The reasonable deviation function is specifically obtained by first subtracting the ideal air pressure P1 in the duct from the actual air pressure P in the duct, taking the absolute value of the difference, and then fitting the absolute value, ambient temperature, and ambient air pressure together.

Images