CN-121452205-B - Automatic testing method and system for electric parameters of fan

CN121452205BCN 121452205 BCN121452205 BCN 121452205BCN-121452205-B

Abstract

The application discloses a fan electrical parameter automatic test method and system, relating to fan electrical parameter test technology, the disclosed fan electrical parameter automatic test method and system automatically acquire identification information, dynamically construct performance parameter mapping model and execute self-adaptive test cycle, the technical problems of low efficiency, incomplete data coverage, obvious human error and poor model adaptability in the traditional test are effectively solved, the efficiency and accuracy of automatic test of the electric parameters of the fan can be improved, the data comprehensiveness is enhanced, and the model adaptability is improved.

Inventors

Hu Rongtao

Assignees

四川华鲲振宇智能科技有限责任公司

Dates

Publication Date: 20260508
Application Date: 20251230

Claims (8)

1. A method for automatically testing electrical parameters of a fan, said method comprising: acquiring identification information data of a tested fan; Inquiring a fan performance database based on the identification information data to obtain historical test data or a performance parameter prediction model associated with the identification information data; Determining initial test environment parameters and key parameter anchor points to be tested according to the historical test data or the performance parameter prediction model; Executing the test of the key parameter anchor point to be tested under the initial test environment parameters to obtain an initial actual measurement data set, and constructing an initial performance parameter mapping model according to the initial actual measurement data set; performing an adaptive test cycle based on the initial performance parameter mapping model and the initial measured data set, generating a final measured data set and a final performance parameter mapping model; integrating the final measured data set and the final performance parameter mapping model to generate a fan electrical parameter test report; The step of determining the initial test environment parameters and the key parameter anchor points to be tested according to the historical test data or the performance parameter prediction model comprises the following steps: extracting temperature range data and wind resistance range data from the historical test data; Setting the central value of the temperature range data as an initial temperature parameter, and setting the minimum value of the windage range data as an initial windage parameter to jointly form the initial test environment parameter; selecting starting voltage and locked-rotor current as anchor points of the key parameters to be tested; performing an adaptive test cycle based on the initial performance parameter mapping model and the initial measured data set, the step of generating a final measured data set and a final performance parameter mapping model comprising: Calculating an electrical parameter predicted value of an unmeasured environmental parameter point based on the current performance parameter mapping model and the current measured data set, and generating predicted confidence coefficient data through deviation analysis; according to a predefined test strategy and the prediction confidence data, deciding a target environment parameter and a target electrical parameter of a next test point; the control environment control module sets the target environment parameters; Testing the target electrical parameters under the target environmental parameters to obtain newly-added measured data; Combining the newly added measured data to a current measured data set, and updating the newly added measured data to an updated measured data set; Retraining the performance parameter mapping model based on the updated measured data set to obtain an updated performance parameter mapping model; And iterating for a plurality of times until a preset termination condition is met, taking the updated measured data set obtained in the last iteration as the final measured data set, and taking the updated performance parameter mapping model obtained in the last iteration as the final performance parameter mapping model, wherein the termination condition comprises that all the target environment parameter points generated by decision making are tested, or the deviation between the newly-increased measured data and the corresponding predicted value is smaller than a preset first threshold value continuously for preset times.
2. The automated fan electrical parameter testing method of claim 1, wherein the step of obtaining identification information data of the tested fan comprises: The fan physical label is scanned through the image sensor to generate image data and analyze the image data into the identification information data, or the electronic coding data of the fan memory is read through the electric interface to serve as the identification information data.
3. The automated fan electrical parameter testing method of claim 1, wherein the step of calculating electrical parameter predictions for unmeasured environmental parameter points based on the current performance parameter mapping model and the current measured data set, and generating prediction confidence data by bias analysis comprises: applying the functional relation in the current performance parameter mapping model to the current actual measurement data set to generate a prediction intermediate result; Based on the prediction intermediate result, outputting a starting voltage predicted value and a working current predicted value of the non-measuring point; And comparing the deviation between the actual electrical parameter value of the known environmental parameter point in the current actual measurement data set and the corresponding prediction intermediate result, and calculating prediction confidence coefficient data.
4. The automated fan electrical parameter testing method of claim 1, wherein the step of determining the target environmental parameter and the target electrical parameter for the next test point based on a predefined test strategy and the predictive confidence data comprises: Skipping actual measurement when the prediction confidence coefficient data is higher than a preset second threshold value and the electrical parameter predicted value is in a safety interval; when the electrical parameter predicted value is in a preset failure interval, marking the corresponding parameter as the target electrical parameter and associating the environmental parameter as the target environmental parameter.
5. The automated fan electrical parameter testing method of claim 1, wherein controlling an environmental control module to set the target environmental parameter comprises: Controlling an incubator module to adjust temperature according to the temperature value in the target environmental parameter; and controlling the relay to switch the wind resistance baffle according to the wind resistance value in the target environmental parameter.
6. The automated fan electrical parameter testing method of claim 1, wherein testing the target electrical parameter under the target environmental parameter to obtain newly-added measured data comprises: Controlling an adjustable power supply to step up, and recording the step up as a current starting voltage actual measurement value when a rotating speed signal is generated; Controlling the PWM generator to reduce the duty ratio, and recording the duty ratio as the actual measurement value of the minimum driving pulse width when the rotating speed stops; and the actual measured value of the starting voltage and the actual measured value of the minimum driving pulse width jointly form the newly-increased actual measured data.
7. The automated fan electrical parameter testing method of claim 1, wherein integrating the final measured dataset and the final performance parameter mapping model, generating a fan electrical parameter testing report comprises: reading the final measured data set and the final performance parameter mapping model; Extracting a starting voltage actual measurement value and a minimum driving pulse width actual measurement value in the final actual measurement data set; generating a starting voltage prediction curve and a minimum driving pulse width prediction curve based on the final performance parameter mapping model; drawing a change curve of the actual measured value of the starting voltage along with the environmental parameter and a change curve of the actual measured value of the minimum driving pulse width along with the environmental parameter; And comparing and analyzing the actual measurement curve and the predicted curve to mark critical failure points and model predicted deviation rate, and generating a test report containing the comparison analysis result.
8. An automated fan electrical parameter testing system comprising a memory, a processor, and an automated fan electrical parameter testing program stored on the memory and operable on the processor, the automated fan electrical parameter testing program configured to implement the steps of the automated fan electrical parameter testing method of any of claims 1-7.

Description

Automatic testing method and system for electric parameters of fan Technical Field The present application relates to fan electrical parameter testing technology, and in particular, to a fan electrical parameter automatic testing method and system. Background In the field of fan electrical parameter testing, the traditional testing method generally adopts a mode of combining manual operation and a fixed testing flow, so that obvious defects exist in the testing process. The problem of low test efficiency is outstanding, and operating personnel need manual setting up environmental parameters such as incubator temperature, windage baffle position to electrical parameters such as voltage, electric current are recorded point by point, and whole process is consuming time lengthy and easily influenced by operating personnel experience. The test data is not comprehensive enough, and the fixed test flow only aims at the preset environmental parameter points to execute the test, so that the running state of the fan under the complex and changeable working conditions cannot be covered, for example, the dynamic combination scene of the temperature range and the windage condition is not covered, and the critical parameters such as the starting voltage and the critical failure point of the minimum driving pulse width are difficult to capture effectively. The accuracy of the test result is easily interfered by human factors, visual errors or data entry errors can occur when the rotating speed signal is manually read and the starting voltage value is recorded, and particularly under the high-precision test requirement, the errors can directly influence the reliability of fan performance evaluation. In addition, the traditional method lacks the adaptability to different types of fans, and when test objects are replaced, test sequences must be redesigned and equipment must be calibrated, so that the repeated development cost of test schemes is high, the period is prolonged, and urgent requirements of modern fans on test accuracy, efficiency and comprehensiveness in diversified application scenes such as automobile electronics, data centers and the like cannot be met. With the iterative acceleration of fan products, the nonlinear relation between environmental parameters and electrical performance is increasingly complex, and the dynamic optimization and data depth mining of the testing process are difficult to realize in the prior art, so that the efficiency of fan quality control and performance verification is restricted. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The application mainly aims to provide an automatic test method and system for electric parameters of a fan, and aims to improve the efficiency and accuracy of the automatic electric parameters of the fan. In order to achieve the above objective, the present application provides an automatic testing method for electrical parameters of a fan, the method comprising: acquiring identification information data of a tested fan; Inquiring a fan performance database based on the identification information data to obtain historical test data or a performance parameter prediction model associated with the identification information data; Determining initial test environment parameters and key parameter anchor points to be tested according to the historical test data or the performance parameter prediction model; Executing the test of the key parameter anchor point to be tested under the initial test environment parameters to obtain an initial actual measurement data set, and constructing an initial performance parameter mapping model according to the initial actual measurement data set; performing an adaptive test cycle based on the initial performance parameter mapping model and the initial measured data set, generating a final measured data set and a final performance parameter mapping model; and integrating the final measured data set and the final performance parameter mapping model to generate a fan electrical parameter test report. In one embodiment, the step of obtaining the identification information data of the tested fan includes: The fan physical label is scanned through the image sensor to generate image data and analyze the image data into the identification information data, or the electronic coding data of the fan memory is read through the electric interface to serve as the identification information data. In one embodiment, the step of determining the initial test environment parameter and the key parameter anchor point to be tested according to the historical test data or the performance parameter prediction model includes: extracting temperature range data and wind resistance range data from the historical test data; Setting the central value of the temperature ra