CN117169639B - Product detection method and system for power adapter production - Google Patents
Product detection method and system for power adapter production Download PDFInfo
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Abstract
The invention discloses a method and a system for detecting products for power adapter production, which relate to the technical field of power adapter detection and comprise the following steps: collecting the component structure information of the qualified power adapter product, measuring physical parameters aiming at the component structure and feeding back to the terminal equipment; the terminal equipment uploads the parameters to an operation control center, and the control center sets fault vectors according to the parameter information and builds a fault identification model to evaluate and judge whether the product has potential operation faults; if the fault exists, sending a prompt to the operation end to carry out reworking operation, and if the fault does not exist, continuing to execute the next step; performing noise detection operation on a product meeting the standard to evaluate whether the product meets the electromagnetic compatibility requirement; and acquiring all test data in the detection process, and sorting and summarizing. The invention firstly judges whether the power adapter has potential operation faults or not, and then carries out noise detection on the qualified power adapter, thereby being beneficial to improving the product quality.
Description
Technical Field
The invention relates to the technical field of power adapter detection, in particular to a method and a system for detecting products for power adapter production.
Background
The power adapter is a common electronic equipment accessory, can convert power supplies with different specifications into power supplies required by equipment, and is widely applied to various scenes such as a laboratory, an automobile, an airport and the like due to convenient use. Airport power adapters are used to provide power to various electronic devices on an aircraft, such as televisions, computers, and the like. Airport power adapters are used to provide charging services for personal electronic devices such as cell phones, tablet computers, etc. of aircraft passengers through various interfaces, to power aircraft crew work devices, etc. Meanwhile, the airport power adapter can also supply power for various detection equipment inside and outside the airplane when the airplane is stopped at an airport maintenance platform for maintenance, so that the airport power adapter is mainly used for providing external power support for various electronic equipment inside and outside the airplane in different scenes.
In general, the working principle of the airport power adapter mainly comprises power input, power conversion, power output, voltage identification, overcurrent protection and the like, and the airport power adapter provides stable and reliable power support for different devices through power conversion and intelligent management. Meanwhile, in order to ensure that the normal use of the power adapter can be comprehensively detected during the production of the power adapter, the airport power adapter is ensured to be reliable in actual use performance, personal equipment and airplane operation safety cannot be influenced, products are ensured to provide stable voltage and current output, and the power requirements of different equipment are met.
However, in the prior art, noise detection is often ignored when production detection is performed on the power adapter, and no noise monitoring is performed, so that whether a product meets electromagnetic compatibility requirements cannot be estimated, the power adapter is used as a power supply device, normal work can be influenced if electromagnetic interference is generated and possibly influences other electronic devices, inconvenience is brought to a user, meanwhile, if serious electromagnetic interference is generated, certain influence can be generated on aircraft navigation safety, hidden danger is caused on life safety, and once a product which does not pass through the noise detection enters the market, once the problem occurs, the reason is difficult to discover in time and remedial measures are taken.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a method and a system for detecting a product for producing a power adapter, which are used for overcoming the technical problems existing in the prior related art.
For this purpose, the invention adopts the following specific technical scheme:
according to an aspect of the present invention, there is provided a product detection method for producing a power adapter, the product detection method for producing a power adapter comprising the steps of:
s1, collecting component structure information of a qualified power adapter product, measuring physical parameters aiming at a component structure, and feeding back to terminal equipment;
s2, uploading the parameters to an operation control center by the terminal equipment, setting a fault vector and constructing a fault identification model by the control center according to the parameter information, and evaluating and judging whether a potential operation fault exists in the product;
s3, if the fault exists, sending a prompt to the operation end to carry out reworking operation, and if the fault does not exist, continuing to execute the step S4;
s4, performing noise detection operation on products meeting the standard to evaluate whether the products meet the electromagnetic compatibility requirement;
s5, acquiring all test data in the detection process, sorting and summarizing to form a complete detection report, and feeding the detection report back to a production department.
Further, collecting the component structure information of the qualified power adapter product, and measuring and feeding back physical parameters to the terminal equipment according to the component structure, wherein the method comprises the following steps:
s11, receiving a finished qualified power adapter product in advance, and identifying the component parts of the power adapter by utilizing a visual identification device and recording information of the component parts;
s12, designing a simulation model containing an ohmmeter, a capacitance meter, a magnetometer and a Hall effect sensor based on information of a product, and carrying out structural analysis on the product through the simulation model;
s13, extracting physical parameters of the product based on analysis results of the simulation model, wherein the physical parameters comprise resistance, capacitance, magnetic flux density and magnetic field intensity;
s14, judging the connection between each component and the performance of the power adapter according to the extraction result, and sorting the recorded information and the extracted physical parameters to form an information parameter set;
and S15, making communication protocol transmission, and feeding back the information parameter set to the terminal equipment for storage, so that the subsequent operation and utilization are facilitated.
Further, the terminal device uploads the parameters to the operation control center, the control center sets fault vectors according to the parameter information and builds a fault recognition model, and the step of evaluating and judging whether the product has potential operation faults comprises the following steps:
s21, the terminal equipment performs preprocessing and packaging operation on the information parameter set, establishes communication protocol connection with the operation control center and uploads the packaged information data set to the operation control center;
s22, fusing the information data sets based on a contour calculation mode to solve fault vectors;
s23, a fault recognition model is constructed by fusing fault vectors with a support vector machine according to a search algorithm;
s24, utilizing the constructed fault recognition model to evaluate and judge the potential operation faults of the product processed by the simulation model.
Further, the method for carrying out fault vector solving based on the contour calculation mode fusion information data set comprises the following steps:
s221, respectively carrying out noise filtering and irrelevant feature removal processing on various information parameters to be judged based on a judgment formula;
s222, identifying the processed parameters to determine the expression form of the processed parameters under the fault condition, and performing expression analysis by combining the minimum contour line distance to extract fault characteristics;
s223, identifying fault characteristic points based on the total number of the contour lines and the information of two end points of the minimum contour line distance, and performing normalization discretization processing on the fault characteristic points;
s224, inputting the processed fault characteristic points into a mathematical model to output fault vectors corresponding to faults.
Further, the construction of the fault recognition model by fusing the fault vector with the support vector machine according to the search algorithm comprises the following steps:
s231, taking a fault vector as input of a fault recognition model, setting an early warning value as target output according to the fault vector, and establishing a training and testing sample set;
s232, training a support vector machine by using a training sample set in a cross verification mode, and optimizing parameters of the support vector machine according to a search algorithm rule;
s233, evaluating the performance of each group of search points in the search algorithm by using the fitness function, updating the early warning value according to the rule of the search algorithm, and calculating the magnitude of the fault vector according to the early warning value to obtain a model target output result;
s234, determining a target output value, calculating an adaptability value of the target output value, updating global optimal information, and inputting the test sample set into a support vector machine model of the optimal information to obtain a fault identification model.
Further, performing a noise detection operation for a product that meets a criterion to evaluate whether the product meets electromagnetic compatibility requirements includes the steps of:
s41, constructing a noise measurement platform comprising a microphone, a signal processor and an indication recorder, acquiring an acoustic signal through the microphone, wherein the signal processor consists of a sampling assembly and a signal processing assembly;
s42, sampling the acoustic signals acquired by the microphone through a sampling assembly after the acoustic signals are sampled, so as to realize discretization and digital processing of the acoustic signals;
s43, executing an operation program through a signal processing component, analyzing the sampled digital signal to obtain a noise spectrum, and displaying and recording through an indication recorder;
s44, constructing a simulation model based on a noise spectrum and a simulation expansion algorithm, performing simulation analysis on two types of conduction and radiation, and comparing the simulation result with a preset electromagnetic compatibility standard;
s45, if the comparison result is that the conduction and the radiation are in the standard range, judging that the product meets the requirements, if the comparison result is that the conduction and the radiation are beyond the standard range, judging that the product does not meet the requirements, and sending a prompt to an operation end for reworking operation.
Furthermore, a simulation model is built based on a noise spectrum and a simulation expansion algorithm, simulation analysis is carried out on two types of conduction and radiation, and comparison is carried out based on a simulation result and a preset electromagnetic compatibility standard, wherein the method comprises the following steps:
s441, a mechanism mapping model is established based on the structure of the power adapter, and the noise spectrum under the limited working condition is utilized for identification and correction, so that a corrected mechanism mapping model is obtained;
s442, expanding the limited noise spectrum sample by using a simulation expansion algorithm on the basis of a mechanism mapping model to obtain noise spectrum data in a multi-working-range;
s443, determining input state variables and output characteristic parameters of the simulation model, and constructing the simulation model between the input and the output by using noise spectrum data;
s444, determining the frequency generated by conduction and radiation noise according to electromagnetic interference conducted by a cable and electromagnetic interference propagated by air through an input port of the analog power adapter according to the analog model;
s445, acquiring preset standards of electromagnetic compatibility, respectively comparing the frequency similarity of the conducted noise and the radiated noise, and judging whether the conducted noise and the radiated noise are in a standard range.
Further, obtaining a preset standard of electromagnetic compatibility, and respectively comparing frequency similarity of conduction and radiation noise, and judging whether the conduction and the radiation are in a standard range comprises the following steps:
s4451, sampling and quantizing the frequencies of the conducted and radiated noise respectively to obtain discrete digital signals;
s4452, carrying out envelope extraction and zero crossing rate extraction on the digital signal to obtain a curve reflecting the frequency amplitude variation;
s4453, selecting the similarity degree between the similarity coefficient calculation method and the preset electromagnetic compatibility standard according to the curve result, and judging whether the conduction and radiation are in the standard range.
Further, the calculation formula of the similarity coefficient is:
；
in the method, in the process of the invention,Tthe result of the similarity is indicated as such,xthe envelope extraction value is represented as such,curve value representing curve result, < >>A curve value representing a preset standard is provided,yrepresenting the zero-crossing rate extraction value.
According to another aspect of the invention, there is also provided a product detection system for power adapter production, the product detection system for power adapter production including a collection feedback module, a fault identification module, a reminder execution module, a noise detection module, and a summary arrangement module;
the collecting feedback module is connected with the fault recognition module, the fault recognition module is connected with the reminding execution module, the reminding execution module is connected with the noise detection module, and the noise detection module is connected with the induction arrangement module;
the collecting feedback module is used for collecting the component structure information of the qualified power adapter product, measuring physical parameters aiming at the component structure and feeding back to the terminal equipment;
the fault identification module is used for uploading the parameters to the operation control center by the terminal equipment, setting fault vectors according to the parameter information by the control center, constructing a fault identification model, and evaluating and judging whether the product has potential operation faults or not;
the reminding execution module is used for sending a reminding to the operation end to carry out reworking operation if the fault exists, and continuously executing the noise detection module if the fault does not exist;
the noise detection module is used for executing noise detection operation aiming at products meeting the standard to evaluate whether the products meet the electromagnetic compatibility requirement;
and the induction and sorting module is used for acquiring all the test data in the detection process, sorting and sorting to form a complete detection report, and feeding the detection report back to the production department.
The beneficial effects of the invention are as follows:
1. the detection method provided by the invention firstly carries out fault detection when detecting the airport power adapter, judges whether potential operation faults exist, and then carries out noise detection on the qualified power adapter, so that the power adapter with faults is screened out in advance, a fault product is prevented from entering a subsequent test flow, the test cost is reduced, some potential design or manufacturing problems are found, the product quality is improved, meanwhile, the power adapter for noise detection can be ensured to have normal functions through noise detection, the test result is more reliable and accurate, and the efficient detection and quality control are realized.
2. The invention can better reflect the running state of the product according to the acquired actual parameters, is favorable for constructing a more accurate fault recognition model, and the control center uniformly sets the fault vector and constructs the model, so that the consistency and reliability of the model can be ensured, the problem of non-uniform effect of different terminal models can be avoided, the fault vector can be efficiently extracted from a large amount of data through a contour calculation method and a support vector machine, various algorithms are fused, the data information can be fully mined, a fault model with stronger recognition capability is constructed, the fault mode is more accurately learned and recognized, and the potential running fault of the product can be efficiently and accurately recognized.
3. According to the invention, whether the product meets the electromagnetic compatibility requirement is evaluated by carrying out noise detection on the airport power adapter, the noise detection is carried out on the qualified product after fault detection, the accuracy and reliability of a test result are ensured, meanwhile, whether the product can generate electromagnetic interference on surrounding equipment during operation can be directly evaluated by the noise detection, the electromagnetic compatibility is more directly checked, once the noise detection is passed, the product meets the electromagnetic standard under the normal operation condition, better use experience is brought to a user, and the noise detection result can be used as a part of product quality control, so that the overall product quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of detecting a product for producing a power adapter according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a power adapter production product detection system in accordance with an embodiment of the present invention.
In the figure:
1. the feedback module is collected; 2. a fault identification module; 3. a reminding execution module; 4. a noise detection module; 5. and (5) summarizing the finishing module.
Detailed Description
For the purpose of further illustrating the various embodiments, the present invention provides the accompanying drawings, which are a part of the disclosure of the present invention, and which are mainly used for illustrating the embodiments and for explaining the principles of the operation of the embodiments in conjunction with the description thereof, and with reference to these matters, it will be apparent to those skilled in the art to which the present invention pertains that other possible embodiments and advantages of the present invention may be practiced.
According to the embodiment of the invention, a method and a system for detecting products for producing a power adapter are provided.
The invention will be further described with reference to the accompanying drawings and detailed description, as shown in fig. 1, a product detection method for producing a power adapter according to an embodiment of the invention, the product detection method for producing a power adapter comprising the steps of:
s1, collecting the component structure information of the qualified power adapter product, measuring physical parameters aiming at the component structure, and feeding back to the terminal equipment.
In one embodiment, collecting the component structure information of the qualified power adapter product and feeding back the physical parameter measurement to the terminal device for the component structure comprises the following steps:
s11, receiving a finished qualified power adapter product in advance, and identifying the component parts of the power adapter by utilizing a visual identification device and recording information of the component parts;
s12, designing a simulation model containing an ohmmeter, a capacitance meter, a magnetometer and a Hall effect sensor based on information of a product, and carrying out structural analysis on the product through the simulation model;
s13, extracting physical parameters of the product based on analysis results of the simulation model, wherein the physical parameters comprise resistance, capacitance, magnetic flux density and magnetic field intensity;
s14, judging the connection between each component and the performance of the power adapter according to the extraction result, and sorting the recorded information and the extracted physical parameters to form an information parameter set;
and S15, making communication protocol transmission, and feeding back the information parameter set to the terminal equipment for storage, so that the subsequent operation and utilization are facilitated.
S2, the terminal equipment uploads the parameters to an operation control center, and the control center sets fault vectors according to the parameter information and builds a fault recognition model to evaluate and judge whether the product has potential operation faults.
In one embodiment, the terminal device uploads the parameters to the operation control center, the control center sets fault vectors according to the parameter information and builds a fault recognition model, and the step of evaluating and judging whether the product has potential operation faults comprises the following steps:
s21, the terminal equipment performs preprocessing and packaging operation on the information parameter set, establishes communication protocol connection with the operation control center and uploads the packaged information data set to the operation control center.
Specifically, the terminal device performs preprocessing and packaging operation on the information parameter set, establishes communication protocol connection with the operation control center, and uploads the packaged information data set to the operation control center, wherein the method comprises the following steps:
the terminal device performs preprocessing on the collected original information parameters, and the preprocessing content may include data cleaning, removing dirty data and abnormal values, where the dirty data includes parameter values out of range (such as excessive or insufficient capacitance value), parameters identical or incorrect formats (such as containing letters or special symbols), and the like.
And converting the data with different dimensions into the same dimension to perform data dimension reduction, thereby reducing the parameter dimension.
And then packaging the preprocessed information parameters, wherein the packaging purpose is to efficiently transmit and store parameter data sets, the terminal equipment and the operation control center are in communication connection, and the communication connection is established to realize communication transmission between the equipment and the center.
Uploading the packed parameter data set to an operation control center, and actually transmitting the preprocessed and packed information data set to the operation control center.
S22, fusing the information data sets based on the contour calculation mode to solve fault vectors.
Specifically, the method for carrying out fault vector solving based on the contour calculation mode fusion information data set comprises the following steps:
s221, respectively carrying out noise filtering and irrelevant feature removal processing on various information parameters to be judged based on a judgment formula;
s222, identifying the processed parameters to determine the expression form of the processed parameters under the fault condition, and performing expression analysis by combining the minimum contour line distance to extract fault characteristics;
s223, identifying fault characteristic points based on the total number of the contour lines and the information of two end points of the minimum contour line distance, and performing normalization discretization processing on the fault characteristic points;
s224, inputting the processed fault characteristic points into a mathematical model to output fault vectors corresponding to faults.
S23, a fault recognition model is constructed by fusing fault vectors with the support vector machine according to a search algorithm.
Specifically, the construction of the fault recognition model by fusing the fault vector with the support vector machine according to the search algorithm comprises the following steps:
s231, taking a fault vector as input of a fault recognition model, setting an early warning value as target output according to the fault vector, and establishing a training and testing sample set;
s232, training a support vector machine by using a training sample set in a cross verification mode, and optimizing parameters of the support vector machine according to a search algorithm rule;
s233, evaluating the performance of each group of search points in the search algorithm by using the fitness function, updating the early warning value according to the rule of the search algorithm, and calculating the magnitude of the fault vector according to the early warning value to obtain a model target output result;
s234, determining a target output value, calculating an adaptability value of the target output value, updating global optimal information, and inputting the test sample set into a support vector machine model of the optimal information to obtain a fault identification model.
S24, utilizing the constructed fault recognition model to evaluate and judge the potential operation faults of the product processed by the simulation model.
Specifically, the potential operation fault evaluation and judgment of the product processed by the simulation model by utilizing the constructed fault recognition model comprises the following steps:
the product is processed and simulated by a simulation model, the simulation model can simulate the physical behavior of the product under different operation conditions, and operation parameter data of the product such as various operation parameters of temperature, current, pressure and the like are obtained after simulation processing.
And (3) inputting the operation parameter data into a constructed fault recognition model, recognizing and judging the parameter data by the fault recognition model according to the knowledge obtained by training, recognizing potential operation fault types of the product possibly occurring under different conditions, carrying out risk assessment according to the fault types, and judging the severity of the possibly occurring faults.
And S3, if the fault exists, sending a prompt to the operation end to carry out reworking operation, and if the fault does not exist, continuing to execute the step S4.
In one embodiment, step S3 is a subsequent step taken according to the evaluation result after the evaluation using the fault recognition model, if the evaluation result recognizes that there is a fault, the terminal device sends a fault alert message to the operation end, and the operation end performs a reworking operation, such as replacing a part or adjusting a process parameter, according to the alert message, and if the evaluation result recognizes that there is no fault, the terminal device continues to perform the next step S4.
S4, performing noise detection operation on the products meeting the standard to evaluate whether the products meet the electromagnetic compatibility requirement.
In one embodiment, performing a noise detection operation on a product that meets a criterion to evaluate whether the product meets electromagnetic compatibility requirements includes the steps of:
s41, constructing a noise measurement platform comprising a microphone, a signal processor and an indication recorder, acquiring an acoustic signal through the microphone, wherein the signal processor consists of a sampling assembly and a signal processing assembly.
Specifically, constructing a noise measurement platform comprising a microphone, a signal processor and an indication recorder comprises the following steps:
the microphone is an important device for collecting the acoustic signals, and is required to be correctly installed in a test environment, and the signal processor is installed and is responsible for receiving the acoustic signals collected by the microphone and carrying out subsequent processing.
The microphone is connected with the signal processor, so that the sound signal is transmitted from acquisition to processing, and the indication recorder is arranged and used for recording various indexes in the test process, such as sound pressure level, frequency and the like.
The microphone is used as a sensor of the sound signal and is responsible for collecting the sound signal in the environment in real time, and the signal processor processes and analyzes the collected sound signal to instruct the recorder to record the test result.
S42, sampling the acoustic signals acquired by the microphone through a sampling assembly after the acoustic signals are sampled, so that discretization and digital processing of the acoustic signals are realized.
Specifically, after the acoustic signal sampling is completed, the acoustic signal collected by the microphone is sampled by the sampling component, so that the discretization and the digitization of the acoustic signal are realized, and the method comprises the following steps:
the microphone collects the acoustic signals in the continuous time domain, the continuous acoustic signals are input to the sampling assembly, the sampling assembly samples the acoustic signals according to the sampling frequency, and the continuous signals are scattered into discrete points.
And quantizing each sampling point, quantizing the sound pressure value into a digital signal, digitally encoding the quantized digital signal, converting the sound signal from analog to digital, and outputting the discretized and digitized digital sound signal.
S43, executing an operation program through the signal processing component, analyzing the sampled digital signal to obtain a noise spectrum, and displaying and recording through the instruction recorder.
Specifically, the signal processing component executes an operation program, analyzes the sampled digital signal to obtain a noise spectrum, and displays and records the noise spectrum through the instruction recorder, wherein the method comprises the following steps:
the digital signals are input into a signal processing component, the signal processing component executes a preset operation program, such as an FFT algorithm, performs frequency domain analysis conversion on the digital signals through the FFT algorithm and the like, and obtains the energy distribution condition of noise under each frequency according to the frequency domain analysis result.
And the spectrum analysis result is expressed as a noise spectrum in the form of a noise power spectrum density curve, the noise spectrum result is displayed through an indication recorder, and the indication recorder records the spectrum result at the same time.
S44, constructing a simulation model based on a noise spectrum and a simulation expansion algorithm, performing simulation analysis on the conduction and radiation, and comparing the simulation result with a preset electromagnetic compatibility standard.
Specifically, a simulation model is built based on a noise spectrum and a simulation expansion algorithm, simulation analysis is carried out on two types of conduction and radiation, and comparison is carried out based on a simulation result and a preset electromagnetic compatibility standard, wherein the simulation model comprises the following steps:
s441, a mechanism mapping model is established based on the structure of the power adapter, and the noise spectrum under the limited working condition is utilized for identification and correction, so that a corrected mechanism mapping model is obtained;
s442, expanding the limited noise spectrum sample by using a simulation expansion algorithm on the basis of a mechanism mapping model to obtain noise spectrum data in a multi-working-range;
s443, determining input state variables and output characteristic parameters of the simulation model, and constructing the simulation model between the input and the output by using noise spectrum data;
s444, determining the frequency generated by conduction and radiation noise according to electromagnetic interference conducted by a cable and electromagnetic interference propagated by air through an input port of the analog power adapter according to the analog model;
s445, acquiring preset standards of electromagnetic compatibility, respectively comparing the frequency similarity of the conducted noise and the radiated noise, and judging whether the conducted noise and the radiated noise are in a standard range.
The method for acquiring the preset standard of electromagnetic compatibility, respectively comparing the frequency similarity of conduction and radiation noise, and judging whether the conduction and the radiation are in a standard range comprises the following steps:
s4451, sampling and quantizing the frequencies of the conducted and radiated noise respectively to obtain discrete digital signals;
s4452, carrying out envelope extraction and zero crossing rate extraction on the digital signal to obtain a curve reflecting the frequency amplitude variation;
s4453, selecting the similarity degree between the similarity coefficient calculation method and the preset electromagnetic compatibility standard according to the curve result, and judging whether the conduction and radiation are in the standard range.
It should be noted that, the calculation formula of the similarity coefficient is:
；
in the method, in the process of the invention,Tthe result of the similarity is indicated as such,xthe envelope extraction value is represented as such,curve value representing curve result, < >>A curve value representing a preset standard is provided,yrepresenting the zero-crossing rate extraction value.
S45, if the comparison result is that the conduction and the radiation are in the standard range, judging that the product meets the requirements, if the comparison result is that the conduction and the radiation are beyond the standard range, judging that the product does not meet the requirements, and sending a prompt to an operation end for reworking operation.
S5, acquiring all test data in the detection process, sorting and summarizing to form a complete detection report, and feeding the detection report back to a production department.
In this embodiment, all test data in the detection process are acquired, sorted and summarized to form a complete detection report, and the detection report is fed back to the production department, which includes the following steps:
and acquiring various data in all the test processes from the indication recorder, sorting the acquired data, such as time sequence arrangement, statistical calculation of average value and the like, and carrying out data induction and summarization according to the test purpose and content.
And writing a complete detection report file according to the induction result, adding a detection conclusion into the report, sending the detection report to a production department through the file or other modes, and receiving and confirming the detection report by the production department.
As shown in fig. 2, according to another embodiment of the present invention, there is further provided a product detection system for power adapter production, which includes a collection feedback module 1, a fault recognition module 2, a reminder executing module 3, a noise detection module 4, and a summary sort module 5;
the collecting feedback module 1 is connected with the fault recognition module 2, the fault recognition module 2 is connected with the reminding execution module 3, the reminding execution module 3 is connected with the noise detection module 4, and the noise detection module 4 is connected with the induction arrangement module 5;
the collecting feedback module 1 is used for collecting the component structure information of the qualified power adapter product, measuring physical parameters aiming at the component structure and feeding back to the terminal equipment;
the fault identification module 2 is used for uploading the parameters to the operation control center by the terminal equipment, setting fault vectors according to the parameter information by the control center, constructing a fault identification model, and evaluating and judging whether the product has potential operation faults or not;
the reminding execution module 3 is used for sending a reminding to the operation end to carry out reworking operation if the fault exists, and continuously executing the noise detection module if the fault does not exist;
a noise detection module 4 for performing noise detection operation on a product meeting the standard to evaluate whether the product meets the electromagnetic compatibility requirement;
and the induction and sorting module 5 is used for acquiring all the test data in the detection process, sorting and sorting to form a complete detection report, and feeding the detection report back to the production department.
In summary, by means of the technical scheme provided by the invention, the detection method provided by the invention firstly carries out fault detection when detecting the airport power adapter, judges whether potential operation faults exist or not, and then carries out noise detection on the qualified power adapter, so that the power adapter with faults is screened out in advance, a fault product is prevented from entering a subsequent test flow, the test cost is reduced, some potential design or manufacturing problems are found, the product quality is improved, meanwhile, the power adapter for carrying out noise detection can be ensured to have normal functions through noise detection, the test result is more reliable and accurate, and high-efficiency detection and quality control are realized. The invention can better reflect the running state of the product according to the acquired actual parameters, is favorable for constructing a more accurate fault recognition model, and the control center uniformly sets the fault vector and constructs the model, so that the consistency and reliability of the model can be ensured, the problem of non-uniform effect of different terminal models can be avoided, the fault vector can be efficiently extracted from a large amount of data through a contour calculation method and a support vector machine, various algorithms are fused, the data information can be fully mined, a fault model with stronger recognition capability is constructed, the fault mode is more accurately learned and recognized, and the potential running fault of the product can be efficiently and accurately recognized. According to the invention, whether the product meets the electromagnetic compatibility requirement is evaluated by carrying out noise detection on the airport power adapter, the noise detection is carried out on the qualified product after fault detection, the accuracy and reliability of a test result are ensured, meanwhile, whether the product can generate electromagnetic interference on surrounding equipment during operation can be directly evaluated by the noise detection, the electromagnetic compatibility is more directly checked, once the noise detection is passed, the product meets the electromagnetic standard under the normal operation condition, better use experience is brought to a user, and the noise detection result can be used as a part of product quality control, so that the overall product quality is improved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (7)
1. The product detection method for producing the power adapter is characterized by comprising the following steps of:
s1, collecting component structure information of a qualified power adapter product, measuring physical parameters aiming at a component structure, and feeding back to terminal equipment;
s2, uploading the parameters to an operation control center by the terminal equipment, setting a fault vector and constructing a fault identification model by the control center according to the parameter information, and evaluating and judging whether a potential operation fault exists in the product;
s3, if the fault exists, sending a prompt to the operation end to carry out reworking operation, and if the fault does not exist, continuing to execute the step S4;
s4, performing noise detection operation on products meeting the standard to evaluate whether the products meet the electromagnetic compatibility requirement;
s5, acquiring all test data in the detection process, sorting and summarizing to form a complete detection report, and feeding the detection report back to a production department;
the step of performing a noise detection operation on a product meeting a standard to evaluate whether the product meets electromagnetic compatibility requirements comprises the following steps:
s41, constructing a noise measurement platform comprising a microphone, a signal processor and an indication recorder, and acquiring an acoustic signal through the microphone, wherein the signal processor consists of a sampling assembly and a signal processing assembly;
s42, sampling the acoustic signals acquired by the microphone through a sampling assembly after the acoustic signals are sampled, so as to realize discretization and digital processing of the acoustic signals;
s43, executing an operation program through a signal processing component, analyzing the sampled digital signal to obtain a noise spectrum, and displaying and recording through an indication recorder;
s44, constructing a simulation model based on a noise spectrum and a simulation expansion algorithm, performing simulation analysis on two types of conduction and radiation, and comparing the simulation result with a preset electromagnetic compatibility standard;
s45, if the comparison result shows that the conduction and the radiation are in the standard range, judging that the product meets the requirements, if the comparison result shows that the conduction and the radiation are beyond the standard range, judging that the product does not meet the requirements, and sending a prompt to an operation end for reworking operation;
the method for constructing the simulation model based on the noise spectrum and the simulation expansion algorithm, performing simulation analysis on two types of conduction and radiation, and comparing the simulation result with a preset electromagnetic compatibility standard comprises the following steps:
s441, a mechanism mapping model is established based on the structure of the power adapter, and the noise spectrum under the limited working condition is utilized for identification and correction, so that a corrected mechanism mapping model is obtained;
s442, expanding the limited noise spectrum sample by using a simulation expansion algorithm on the basis of a mechanism mapping model to obtain noise spectrum data in a multi-working-range;
s443, determining input state variables and output characteristic parameters of the simulation model, and constructing the simulation model between the input and the output by using noise spectrum data;
s444, determining the frequency generated by conduction and radiation noise according to electromagnetic interference conducted by a cable and electromagnetic interference propagated by air through an input port of the analog power adapter according to the analog model;
s445, acquiring preset standards of electromagnetic compatibility, respectively comparing frequency similarity of conduction and radiation noise, and judging whether the conduction and radiation are in a standard range;
the step of obtaining the preset standard of electromagnetic compatibility, respectively comparing the frequency similarity of the conducted noise and the radiated noise, and judging whether the conducted noise and the radiated noise are in the standard range comprises the following steps:
s4451, sampling and quantizing the frequencies of the conducted and radiated noise respectively to obtain discrete digital signals;
s4452, carrying out envelope extraction and zero crossing rate extraction on the digital signal to obtain a curve reflecting the frequency amplitude variation;
s4453, selecting the similarity degree between the similarity coefficient calculation method and the preset electromagnetic compatibility standard according to the curve result, and judging whether the conduction and radiation are in the standard range.
2. The method for detecting a product for producing a power adapter according to claim 1, wherein the steps of collecting the structural information of the components of the qualified power adapter product, and feeding back the physical parameter measurement to the terminal device for the structural information of the components include the steps of:
s11, receiving a finished qualified power adapter product in advance, and identifying the component parts of the power adapter by utilizing a visual identification device and recording information of the component parts;
s12, designing a simulation model containing an ohmmeter, a capacitance meter, a magnetometer and a Hall effect sensor based on information of a product, and carrying out structural analysis on the product through the simulation model;
s13, extracting physical parameters of the product based on analysis results of the simulation model, wherein the physical parameters comprise resistance, capacitance, magnetic flux density and magnetic field intensity;
s14, judging the connection between each component and the performance of the power adapter according to the extraction result, and sorting the recorded information and the extracted physical parameters to form an information parameter set;
and S15, making communication protocol transmission, and feeding back the information parameter set to the terminal equipment for storage, so that the subsequent operation and utilization are facilitated.
3. The method for detecting a product for power adapter production according to claim 2, wherein the terminal device uploads parameters to the operation control center, the control center sets a fault vector according to the parameter information and builds a fault recognition model, and the step of evaluating and judging whether the product has a potential operation fault comprises the following steps:
s21, the terminal equipment performs preprocessing and packaging operation on the information parameter set, establishes communication protocol connection with the operation control center and uploads the packaged information data set to the operation control center;
s22, fusing the information data sets based on a contour calculation mode to solve fault vectors;
s23, a fault recognition model is constructed by fusing fault vectors with a support vector machine according to a search algorithm;
s24, utilizing the constructed fault recognition model to evaluate and judge the potential operation faults of the product processed by the simulation model.
4. A method for detecting a product for producing a power adapter according to claim 3, wherein the step of performing fault vector solving based on the contour calculation mode fusion information data set comprises the steps of:
s221, respectively carrying out noise filtering and irrelevant feature removal processing on various information parameters to be judged based on a judgment formula;
s222, identifying the processed parameters to determine the expression form of the processed parameters under the fault condition, and performing expression analysis by combining the minimum contour line distance to extract fault characteristics;
s223, identifying fault characteristic points based on the total number of the contour lines and the information of two end points of the minimum contour line distance, and performing normalization discretization processing on the fault characteristic points;
s224, inputting the processed fault characteristic points into a mathematical model to output fault vectors corresponding to faults.
5. A method for detecting a product for power adapter production according to claim 3, wherein the step of constructing a fault recognition model by fusing a fault vector with a support vector machine according to a search algorithm comprises the steps of:
s231, taking a fault vector as input of a fault recognition model, setting an early warning value as target output according to the fault vector, and establishing a training and testing sample set;
s232, training a support vector machine by using a training sample set in a cross verification mode, and optimizing parameters of the support vector machine according to a search algorithm rule;
s233, evaluating the performance of each group of search points in the search algorithm by using the fitness function, updating the early warning value according to the rule of the search algorithm, and calculating the magnitude of the fault vector according to the early warning value to obtain a model target output result;
s234, determining a target output value, calculating an adaptability value of the target output value, updating global optimal information, and inputting the test sample set into a support vector machine model of the optimal information to obtain a fault identification model.
6. The method for detecting a product for producing a power adapter according to claim 1, wherein the calculation formula of the similarity coefficient is:
；
in the method, in the process of the invention,Trepresenting a similarity result;
xrepresenting an envelope extraction value;
a curve value representing a curve result;
a curve value representing a preset standard;
yrepresenting the zero-crossing rate extraction value.
7. A product detection system for power adapter production, for implementing the product detection method for power adapter production according to any one of claims 1-6, characterized in that the product detection system for power adapter production comprises a collection feedback module, a fault identification module, a reminding execution module, a noise detection module and a summary arrangement module;
the collecting feedback module is connected with the fault identification module, the fault identification module is connected with the reminding execution module, the reminding execution module is connected with the noise detection module, and the noise detection module is connected with the induction arrangement module;
the collecting feedback module is used for collecting the component structure information of the qualified power adapter product, measuring physical parameters aiming at the component structure and feeding back to the terminal equipment;
the fault identification module is used for uploading parameters to the operation control center by the terminal equipment, setting fault vectors according to the parameter information by the control center, constructing a fault identification model, and evaluating and judging whether a potential operation fault exists in the product;
the reminding execution module is used for sending a reminding to the operation end to carry out reworking operation if the fault exists, and continuing to execute the noise detection module if the fault does not exist;
the noise detection module is used for executing noise detection operation on products meeting the standard to evaluate whether the products meet the electromagnetic compatibility requirement;
the induction and sorting module is used for acquiring all the test data in the detection process, sorting and sorting to form a complete detection report, and feeding the detection report back to the production department.
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