CN-120948896-B - Microwave leakage detection method, device and system

CN120948896BCN 120948896 BCN120948896 BCN 120948896BCN-120948896-B

Abstract

The invention provides a microwave leakage detection method, a device, electronic equipment and a storage medium, which belong to the technical field of intelligent detection and comprise the steps of obtaining leakage detection positions of a plurality of leakage detection points of an object to be detected and microwave detection data of microwave leakage detection amounts detected at each leakage detection point, determining a microwave leakage source position according to the microwave detection data, and determining the microwave leakage intensity of the object to be detected according to the microwave leakage detection amounts detected at each leakage detection point and the leakage amount weight of each leakage detection point. According to the invention, the specific position of the microwave leakage source is objectively determined by utilizing the data related to the microwave leakage obtained from the plurality of leakage detection points, the leakage amount weight is generated according to the distance relation between the position of the microwave leakage source and each leakage detection point, and then the microwave leakage intensity of the object to be detected is determined in a weighted summation mode, so that the rapid and accurate positioning of the microwave leakage source can be effectively realized, and the automation level, efficiency and accuracy of the microwave leakage detection are improved.

Inventors

YANG HU
XU PENG
SU MING
XU PENG
GUAN RAN

Assignees

广东美的制冷设备有限公司
美的集团股份有限公司

Dates

Publication Date: 20260505
Application Date: 20250801

Claims (12)

1. A microwave leak detection method, comprising: Acquiring microwave detection data, wherein the microwave detection data comprises a leakage detection position of each leakage detection point of an object to be detected and microwave leakage detection amounts detected at each leakage detection point, and the number of the leakage detection points is multiple; Determining the position of a microwave leakage source according to the microwave detection data; Determining the microwave leakage intensity of the object to be detected according to the detected microwave leakage amount at each leakage detection point and the leakage amount weight of each leakage detection point; the leak quantity weight of each leak detection point is related to the distance between the leak detection point and the microwave leak source position; the determining the microwave leakage intensity of the object to be detected according to the detected microwave leakage amount at each leakage detection point and the leakage amount weight of each leakage detection point comprises the following steps: determining a distance between the leak detection position and the microwave leak source position of each leak detection point and a propagation loss index; determining the initial weight of the leakage quantity of each leakage measuring point according to the distance and the propagation loss index; Normalizing the initial leakage amount weights of all the leakage detection points to obtain the leakage amount weight of each leakage detection point; and carrying out weighted summation on the microwave leakage detection quantity detected at each leakage detection point by using the leakage quantity weight of each leakage detection point to obtain the microwave leakage intensity of the object to be detected.
2. The method of claim 1, wherein determining a microwave leakage source location based on the microwave detection data comprises: Constructing a correlation model between the microwave leakage detection quantity and the microwave detection distance of each leakage detection point, wherein the microwave detection distance is the distance between the leakage detection position of the leakage detection point and the microwave leakage source position to be predicted; mapping the microwave detection distance into a predicted microwave leakage detection amount by using the correlation model; constructing an error function, wherein the error function is the sum of squares of errors between the predicted microwave leakage detection amounts and the microwave leakage detection amounts of all the leak detection points; and iteratively updating the microwave leakage source position to be predicted based on a gradient descent method with the aim of minimizing the error function until the optimal microwave leakage source position is determined.
3. The microwave leakage detection method according to claim 2, wherein iteratively updating the microwave leakage source location to be predicted with the objective of minimizing the error function based on a gradient descent method until the optimal microwave leakage source location is determined, comprises: for the kth iteration, determining an initial position of the microwave leakage source position to be predicted; calculating the microwave detection distance between each leakage detection point and the initial position; Calculating predicted microwave leakage detection quantity corresponding to the microwave detection distance based on the correlation model; inputting the predicted microwave leakage detection amount to the error function, and determining error loss; Determining a gradient of the error loss to the microwave leakage source location; updating the initial position of the microwave leakage source position to be predicted according to the gradient and the learning rate; and (3) repeatedly executing an iteration process until the error loss converges or reaches a preset maximum iteration number so as to determine the optimal microwave leakage source position.
4. The method of claim 1, wherein determining a microwave leakage source location based on the microwave detection data comprises: inputting the microwave leakage detection amount and the leakage detection position of each leakage detection point into a leakage source position prediction model to obtain the microwave leakage source position output by the leakage source position prediction model; The leakage source position prediction model is obtained after training an initial network model by utilizing training data of a plurality of historical leakage detection data samples, wherein the historical leakage detection data samples comprise leakage detection position samples and microwave leakage detection amount samples of each leakage detection point, and a microwave leakage source position label.
5. The microwave leak detection method according to claim 1, wherein the leak detection point on the object to be detected is determined based on the steps of: acquiring three-dimensional geometric model data of the object to be detected, wherein the three-dimensional geometric model data comprises space information of a shell structure and internal key components; Generating a leakage detection point candidate set according to the three-dimensional geometric model data, wherein candidate leakage detection points in the leakage detection point candidate set cover a microwave leakage sensitive area and a microwave uniform distribution area of the object to be detected; Based on a microwave propagation simulation method, simulating propagation paths and electromagnetic field distribution of microwaves around the object to be detected, and calculating signal receiving quality and coverage contribution of each candidate leakage point; constructing a comprehensive evaluation function, wherein the comprehensive evaluation function is used for evaluating the detection effectiveness of each candidate leakage detection point based on the shielding degree, the signal-to-noise ratio and the sensitivity of each candidate leakage detection point; Constructing an optimization objective function with the aim of maximizing the total detection effectiveness and the leakage detection point distribution uniformity based on the comprehensive evaluation function and the leakage detection point spatial distribution uniformity, wherein the maximized total detection effectiveness is determined based on the detection effectiveness of each candidate leakage detection point, and the leakage detection point distribution uniformity is determined according to the distance between two adjacent candidate leakage detection points; And selecting a leakage detection point subset meeting constraint conditions from the leakage detection point candidate set based on a heuristic optimization algorithm, wherein the constraint conditions comprise the upper limit of the number of the leakage detection points and the positioning accuracy requirement, and the leakage detection point subset comprises all the leakage detection points.
6. The method according to claim 5, wherein the object to be measured is a microwave oven, and the leak detection points are distributed in at least one of a dock seal, a periphery of a housing, and a bottom center region of the object to be measured.
7. The microwave leakage detection method according to claim 1, further comprising, after determining the microwave leakage intensity of the object to be measured: judging whether the phenomenon of exceeding the standard of microwave leakage occurs or not according to the comparison result of the microwave leakage intensity and the leakage intensity threshold value; If the alarm occurs, the alarm device is controlled to output an alarm prompt.
8. The microwave leakage detection method according to claim 1, further comprising, after determining the microwave leakage intensity of the object to be measured: And displaying the microwave leakage source position and the microwave leakage intensity in a virtual model of the object to be tested.
9.A microwave leak detection apparatus, comprising: The data receiving unit is used for acquiring microwave detection data, wherein the microwave detection data comprises a leakage detection position of each leakage detection point of an object to be detected and a plurality of microwave leakage detection amounts detected at each leakage detection point; the leakage source positioning unit is used for determining the position of the microwave leakage source according to the microwave detection data; an intensity determining unit, configured to determine a microwave leakage intensity of the object to be detected according to the detected microwave leakage amount at each leak detection point and a leakage amount weight of each leak detection point; the leak quantity weight of each leak detection point is related to the distance between the leak detection point and the microwave leak source position; the determining the microwave leakage intensity of the object to be detected according to the detected microwave leakage amount at each leakage detection point and the leakage amount weight of each leakage detection point comprises the following steps: determining a distance between the leak detection position and the microwave leak source position of each leak detection point and a propagation loss index; determining the initial weight of the leakage quantity of each leakage measuring point according to the distance and the propagation loss index; Normalizing the initial leakage amount weights of all the leakage detection points to obtain the leakage amount weight of each leakage detection point; and carrying out weighted summation on the microwave leakage detection quantity detected at each leakage detection point by using the leakage quantity weight of each leakage detection point to obtain the microwave leakage intensity of the object to be detected.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the microwave leak detection method according to any one of claims 1 to 8 when the computer program is executed by the processor.
11. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the microwave leak detection method according to any of claims 1 to 8.
12. A computer program product comprising a computer program which, when executed by a processor, implements a microwave leak detection method as claimed in any one of claims 1 to 8.

Description

Microwave leakage detection method, device and system Technical Field The present invention relates to the field of intelligent detection technologies, and in particular, to a method and apparatus for detecting microwave leakage, an electronic device, and a storage medium. Background At present, traditional microwave leakage detection mainly relies on a handheld detection instrument of a detection person to detect each preset detection position of equipment on a production line one by one, and then the leakage source position is roughly judged according to the detection result of each position according to the personal experience of the detection person. However, the manual detection mode has the defects that on one hand, the manual detection speed is low, the detection result is greatly influenced by the operation proficiency and fatigue degree of detection personnel, and the detection efficiency and accuracy are difficult to ensure. On the other hand, because the personal experience of the detection personnel is difficult to accurately position the leakage source position, the subsequent troubleshooting is time-consuming and labor-consuming, and the problems of missing detection, false detection and the like easily occur in actual production. Disclosure of Invention The invention provides a microwave leakage detection method, a device, electronic equipment and a storage medium, which are used for solving the defects that the detection speed is low, the accuracy is easily influenced by human factors and the position of a leakage source is difficult to accurately position due to the fact that manual detection is relied on in the prior art. The invention provides a microwave leakage detection method, which comprises the following steps: Acquiring microwave detection data, wherein the microwave detection data comprises a leakage detection position of each leakage detection point of an object to be detected and microwave leakage detection amounts detected at each leakage detection point, and the number of the leakage detection points is multiple; Determining the position of a microwave leakage source according to the microwave detection data; Determining the microwave leakage intensity of the object to be detected according to the detected microwave leakage amount at each leakage detection point and the leakage amount weight of each leakage detection point; The leak quantity weight of each leak detection point is related to a distance between the leak detection point and the microwave leak source location. According to the microwave leakage detection method provided by the invention, the method for determining the position of the microwave leakage source according to the microwave detection data comprises the following steps: Constructing a correlation model between the microwave leakage detection quantity and the microwave detection distance of each leakage detection point, wherein the microwave detection distance is the distance between the leakage detection position of the leakage detection point and the microwave leakage source position to be predicted; mapping the microwave detection distance into a predicted microwave leakage detection amount by using the correlation model; constructing an error function, wherein the error function is the sum of squares of errors between the predicted microwave leakage detection amounts and the microwave leakage detection amounts of all the leak detection points; and iteratively updating the microwave leakage source position to be predicted based on a gradient descent method with the aim of minimizing the error function until the optimal microwave leakage source position is determined. According to the microwave leakage detection method provided by the invention, the gradient descent method is used for iteratively updating the microwave leakage source position to be predicted with the aim of minimizing the error function until the optimal microwave leakage source position is determined, and the method comprises the following steps: for the kth iteration, determining an initial position of the microwave leakage source position to be predicted; calculating the microwave detection distance between each leakage detection point and the initial position; Calculating predicted microwave leakage detection quantity corresponding to the microwave detection distance based on the correlation model; inputting the predicted microwave leakage detection amount to the error function, and determining error loss; Determining a gradient of the error loss to the microwave leakage source location; updating the initial position of the microwave leakage source position to be predicted according to the gradient and the learning rate; and (3) repeatedly executing an iteration process until the error loss converges or reaches a preset maximum iteration number so as to determine the optimal microwave leakage source position. According to the microwave leakage detection method provided by the invent