CN116739423A - Production quality management method and system for LED driving power supply - Google Patents
Production quality management method and system for LED driving power supply Download PDFInfo
- Publication number
- CN116739423A CN116739423A CN202310714565.5A CN202310714565A CN116739423A CN 116739423 A CN116739423 A CN 116739423A CN 202310714565 A CN202310714565 A CN 202310714565A CN 116739423 A CN116739423 A CN 116739423A
- Authority
- CN
- China
- Prior art keywords
- power supply
- production
- heat dissipation
- quality management
- driving power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 202
- 238000007726 management method Methods 0.000 title abstract description 98
- 238000010586 diagram Methods 0.000 claims abstract description 32
- 238000013461 design Methods 0.000 claims abstract description 30
- 230000017525 heat dissipation Effects 0.000 claims description 119
- 239000013598 vector Substances 0.000 claims description 42
- 238000011156 evaluation Methods 0.000 claims description 39
- 238000000034 method Methods 0.000 claims description 34
- 238000012360 testing method Methods 0.000 claims description 30
- 238000009826 distribution Methods 0.000 claims description 23
- 230000005855 radiation Effects 0.000 claims description 18
- 238000013210 evaluation model Methods 0.000 claims description 17
- 238000012549 training Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 13
- 239000000463 material Substances 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 9
- 238000012512 characterization method Methods 0.000 claims description 8
- 238000013441 quality evaluation Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 9
- 230000000694 effects Effects 0.000 abstract description 7
- 230000007246 mechanism Effects 0.000 abstract description 6
- 230000006978 adaptation Effects 0.000 abstract 1
- 238000003326 Quality management system Methods 0.000 description 4
- 230000033228 biological regulation Effects 0.000 description 4
- 238000005457 optimization Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000001303 quality assessment method Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/39—Circuit design at the physical level
- G06F30/392—Floor-planning or layout, e.g. partitioning or placement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/39—Circuit design at the physical level
- G06F30/398—Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Geometry (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Architecture (AREA)
- Operations Research (AREA)
- Manufacturing & Machinery (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a production quality management method and a system for an LED driving power supply, which relate to the technical field of intelligent management, acquire an LED circuit design diagram to judge the placement mode of the driving power supply, determine a first layout characteristic if the LED circuit design diagram is a built-in mode, input the first layout characteristic into a production quality management model as input information, output quality management controllable parameters and manage a power supply production process platform, solve the technical problems that the production quality management method for the driving power supply in the prior art is insufficient in flexibility, is not matched with a real-time production process, causes a certain deviation between a management mechanism and actual production, causes the limitation of the management effect and the production quality, performs layout characteristic analysis based on the placement mode of the driving power supply to limit the requirement management limit, and performs adaptation and adjustment by combining the current actual management to improve the compliance of the management mode and the actual production management.
Description
Technical Field
The application relates to the technical field of intelligent management, in particular to a production quality management method and system of an LED driving power supply.
Background
The LED driving power supply is used as a converter for converting a supplied power supply into specific voltage and current and is used for driving the LEDs to emit light, and is necessary hardware equipment, and meanwhile, the driving performance of the LEDs is influenced by the quality grade of the LED driving power supply. At present, the conventional production quality management method is mainly executed based on a fixed management flow through a set management mode, so that the management effect cannot meet the actual production requirement.
In the prior art, the production quality management method for the driving power supply is insufficient in flexibility, is not matched with a real-time production process, and causes a certain deviation between a management mechanism and actual production, so that the management effect and the production quality are limited.
Disclosure of Invention
The application provides a production quality management method and a system of an LED driving power supply, which are used for solving the technical problems that in the prior art, the production quality management method of the driving power supply is insufficient in flexibility, is not matched with a real-time production process enough, causes a certain deviation between a management mechanism and actual production, and causes limited management effect and production quality.
In view of the above problems, the present application provides a method and a system for managing the production quality of an LED driving power supply.
In a first aspect, the present application provides a method for managing production quality of an LED driving power supply, the method comprising:
connecting the LED digital circuit module to obtain an LED circuit design diagram;
judging whether a placement mode of a driving power supply is a built-in mode according to the LED circuit design diagram, wherein the driving power supply is a power supply device used for driving an LED lamp to illuminate in the LED circuit design diagram;
when the placement mode of the driving power supply is a built-in mode, determining a first layout characteristic, wherein the first layout characteristic comprises a power characteristic of a built-in power supply, a power characteristic of surrounding contact devices and a heat dissipation structure characteristic of the built-in power supply;
acquiring a power supply production process platform of the driving power supply;
inputting the first layout characteristic as input information into a production quality management model to output quality management controllable parameters, wherein the production quality management model is interacted with the power supply production process platform data;
and managing the power supply production process platform based on the quality management controllable parameters.
In a second aspect, the present application provides a production quality management system for an LED driving power supply, the system comprising:
the design diagram acquisition module is used for connecting the LED digital circuit module and acquiring an LED circuit design diagram;
the placement mode judging module is used for judging whether the placement mode of the driving power supply is a built-in mode according to the LED circuit design diagram, wherein the driving power supply is a power supply device used for driving the LED lamp to illuminate in the LED circuit design diagram;
the characteristic determining module is used for determining a first layout characteristic when the placement mode of the driving power supply is a built-in mode, wherein the first layout characteristic comprises a power characteristic of a built-in power supply, a power characteristic of surrounding contact devices and a heat dissipation structure characteristic of the built-in power supply;
the platform acquisition module is used for acquiring a power supply production process platform of the driving power supply;
the parameter output module is used for inputting the first layout characteristic as input information into a production quality management model and outputting quality management controllable parameters, wherein the production quality management model is interacted with the power supply production process platform data;
and the platform management module is used for managing the power supply production process platform based on the quality management controllable parameters.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
according to the production quality management method of the LED driving power supply, which is provided by the embodiment of the application, the LED digital circuit module is connected, the LED circuit design diagram is obtained, whether the placement mode of the driving power supply is a built-in mode is judged, wherein the driving power supply is a power device for driving the LED lamp to illuminate based on the LED circuit design diagram, when the placement mode of the driving power supply is the built-in mode, a first layout characteristic is determined, the first layout characteristic comprises the power characteristic of the built-in power supply, the power characteristic of surrounding contact devices and the heat dissipation structure characteristic of the built-in power supply, the first layout characteristic is used as input information to be input into a production quality management model, controllable parameters of quality management are output, the production quality management model is interacted with the power production process platform data, the power production process platform is managed based on the controllable parameters of quality management, the defect of the production quality management method of the driving power supply in the prior art is solved, the technical problem that the management mechanism is not enough to be matched with the real-time production process, a certain deviation exists between the management mechanism and the actual production quality is limited is caused, the layout characteristic is analyzed based on the placement mode of the driving power supply, the current layout characteristic is required management mode is combined, the actual production management is matched with the actual production management mode, and the practical production process is improved.
Drawings
FIG. 1 is a schematic flow chart of a method for managing the production quality of an LED driving power supply;
FIG. 2 is a schematic diagram of a heat dissipation evaluation flow of a historical production dataset in a production quality management method of an LED driving power supply;
FIG. 3 is a schematic diagram of a quality control parameter obtaining process in a method for managing the production quality of an LED driving power supply according to the present application;
fig. 4 is a schematic structural diagram of a production quality management system of an LED driving power supply according to the present application.
Reference numerals illustrate: the system comprises a design diagram acquisition module 11, a placement mode judgment module 12, a characteristic determination module 13, a platform acquisition module 14, a parameter output module 15 and a platform management module 16.
Detailed Description
The application provides a production quality management method and a system for an LED driving power supply, which are used for acquiring an LED circuit design diagram to judge the placement mode of the driving power supply, determining a first layout characteristic if the LED circuit design diagram is in a built-in mode, inputting the first layout characteristic into a production quality management model as input information, outputting quality management controllable parameters, and managing a power supply production process platform, so as to solve the technical problems that the production quality management method for the driving power supply is insufficient in flexibility and is not matched with a real-time production process, a management mechanism deviates from actual production to cause the limitation of management effect and production quality in the prior art.
Example 1
As shown in fig. 1, the present application provides a method for managing production quality of an LED driving power supply, the method being applied to a system for managing production quality of an LED driving power supply, the system being communicatively connected to an LED digital circuit module, the method comprising:
step S100: connecting the LED digital circuit module to obtain an LED circuit design diagram;
specifically, the LED driving power source is used as a converter for converting a supplied power source into a specific voltage and current to drive the LED to emit light, and is a necessary hardware device, and its quality level affects the driving efficiency of the LED. The application provides a production quality management method of an LED driving power supply, which is applied to a production quality management system of the LED driving power supply, wherein the system is a master control system for executing power supply production instruction management, the system is in communication connection with an LED digital circuit module, and the LED digital circuit module is a circuit module for realizing a power supply driving logic function and is correspondingly provided with a fixed execution logic circuit consistent with the operation of the LED driving power supply. Specifically, the LED digital circuit module is connected, a circuit connection topological structure is drawn aiming at connection elements, inter-element connection modes, signal transmission and the like in a circuit board, and the circuit connection topological structure is used as an LED circuit design drawing which is the basis for power supply driving analysis.
Step S200: judging whether a placement mode of a driving power supply is a built-in mode according to the LED circuit design diagram, wherein the driving power supply is a power supply device used for driving an LED lamp to illuminate in the LED circuit design diagram;
step S300: when the placement mode of the driving power supply is a built-in mode, determining a first layout characteristic, wherein the first layout characteristic comprises a power characteristic of a built-in power supply, a power characteristic of surrounding contact devices and a heat dissipation structure characteristic of the built-in power supply;
specifically, the placement mode of the driving power supply affects the application condition and the service life of the driving power supply, and if the placement mode of the driving power supply belongs to an external mode, the driving control is executed at the external environment temperature without considering the influence of heating; if the placement mode of the driving power supply belongs to the built-in mode, the occupied space is small, and meanwhile, the driving heat dissipation needs to be strictly controlled, otherwise, abnormal operation conditions such as light attenuation and the like can be possibly caused. Based on the LED circuit design diagram, the connection position of the driving power supply is identified, and the placement mode of the driving power supply is judged, for example, the built-in driving power supply is generally placed in the space at two ends of a lamp tube or behind a light source plate; the external driving power supply is generally installed on the space outside the lamp bracket or other lamp tubes so as to determine the placement mode of the driving power supply.
Furthermore, when the placement mode of the driving power supply is a built-in mode, heat dissipation analysis is further required. Specifically, self-heating and thermal conduction interaction exists in the operation process of the driving power supply and surrounding contact devices, so that the working temperature is too high. The driving power supply is subjected to operation power acquisition, wherein the larger the power is, the higher the generated heat is, the larger the corresponding required heat dissipation area is, the rated power, the actual power, the power fluctuation amplitude and the like of the driving power supply are determined to be acquired, and the power characteristic of the built-in power supply is obtained; collecting surrounding contact devices, such as a lamp bead main body, a converter and the like, respectively taking the power indexes as collection standards, and carrying out device attribution identification aiming at collection results to generate power characteristics of the surrounding contact devices; and carrying out characteristic recognition on the heat dissipation structure of the built-in power supply, for example, the thickness of a shell, the conduction of a heat pipe, the distribution of heat dissipation elements and the like, and taking the heat dissipation structure as the heat dissipation structure characteristic of the built-in power supply. And taking the power characteristics of the built-in power supply, the power characteristics of the surrounding contact devices and the heat dissipation structure characteristics of the built-in power supply as the first layout characteristics.
Step S400: acquiring a power supply production process platform of the driving power supply;
step S500: inputting the first layout characteristic as input information into a production quality management model to output quality management controllable parameters, wherein the production quality management model is interacted with the power supply production process platform data;
step S600: and managing the power supply production process platform based on the quality management controllable parameters.
Specifically, the power supply production process platform of the driving power supply is an execution platform for driving power supply production management, production data are synchronously recorded and stored in a time sequence identification mode, and the power supply production platform of the driving power supply is obtained and used as a target platform to be managed.
Further, analysis and determination of control parameters are performed based on the first layout features, specifically, the production quality management model is built, namely an execution model for performing evaluation and parameter adjustment analysis of process production is built, and the execution model comprises a production evaluation sub-module, a data comparison sub-module and a comparison parameter adjustment sub-module, which are sequentially connected. Inputting the first layout characteristics into the production quality management model, and directly determining the quality management controllable parameters for output by carrying out forward connection analysis among sub-modules for carrying out production management regulation. And the production management model is in data interaction with the power supply production process platform, and the quality management controllable parameters output by the quality management model are transmitted to the power supply production process platform for carrying out fit management so as to improve the production management effect.
Further, the step S500 of the present application further includes:
step S510-1: a historical production dataset of the power supply production process platform is called, wherein the historical production dataset comprises production data of a plurality of process flows;
step S520-1: carrying out heat dissipation evaluation according to the historical production data set, and outputting an evaluation result, wherein the evaluation result comprises a power supply shell heat dissipation index and a power supply conduction heat dissipation index;
step S530-1: and inputting the power supply shell heat dissipation index and the power supply conduction heat dissipation index into the production quality management model.
Further, as shown in fig. 2, the heat dissipation evaluation is performed according to the historical production dataset, and an evaluation result is output, and step S520-1 of the present application further includes:
step S521-1: identifying the historical production data set to obtain a first associated production data set and a second associated production data set, wherein the first associated production data set is a production data set related to heat dissipation performance of a power supply shell, and the second associated production data set is a production data set related to heat dissipation performance of power supply conduction;
step S522-1: setting training data and test data according to the first associated production data set and the second associated production data set, and training according to the training data until convergence to obtain a heat radiation performance evaluation model; and
step S523-1: and testing the heat radiation performance evaluation model according to the test data, and outputting the evaluation result after the test result reaches the standard.
Further, the step S523-1 of the present application further includes the steps of:
step S5231-1: testing the heat radiation performance evaluation model according to the test data to determine correct rate distribution information and error rate distribution information;
step S5232-1: and when the accuracy distribution information does not reach a preset accuracy distribution interval, acquiring a feedback instruction, and optimizing the heat radiation performance evaluation model according to the feedback instruction.
Specifically, the power supply production process platform sets a preset time interval, namely a defined time interval for data call, performs recognition and call of historical production data in the power supply production process platform based on the preset time interval, performs data division identification based on the multiple process flows aiming at a data call result, and the multiple process flows are forward flow nodes of the production process. And taking the historical production data set as source data to be evaluated, and carrying out heat dissipation evaluation on the source data to generate the heat dissipation index of the power supply shell and the heat dissipation index of the power supply conduction.
Specifically, taking power supply shell heat dissipation and power supply conduction heat dissipation as heat dissipation evaluation directions, identifying and dividing the historical production data set based on the plurality of process flows, for example, shell production data can be attributed to a production data set related to heat dissipation performance of the power supply shell, and extracting, integrating and identifying the shell production data as the first associated production data set; such as wire production welding, heat pipe production communication, etc., can be attributed to the power supply conduction heat dissipation performance related production dataset, which is extracted, integrated and identified as the second associated production dataset. Further, a data split ratio, e.g., 7/3, is set, which can be custom set, while dynamic scaling can be based on training live. And respectively carrying out data division on the first associated production data set and the second associated production data set based on the data division proportion to serve as training data and test data, wherein the training data and the test data respectively comprise the first associated production data set and the second associated production data set which are in the same data ratio. And manually evaluating the training data and the test data, determining the unit heat dissipation capacity and heat dissipation efficiency of the power supply shell and the power supply conduction, generating a sample power supply shell heat dissipation index and a sample power supply conduction heat dissipation index as sample evaluation results, respectively mapping and correlating the sample power supply shell heat dissipation index and the sample power supply conduction heat dissipation index with the training data and the test data, performing neural network training on the training data with data correlation, and generating the heat dissipation performance evaluation model. And further inputting the test data into the heat radiation performance evaluation model to perform model test, and judging whether the test result meets the standard.
Specifically, the test data are input into the heat radiation performance evaluation model, overlapping check is carried out on the model output result and the sample evaluation result corresponding to the test data, and extraction and duty ratio measurement are carried out on a person with a consistent check result to be used as the correct rate distribution information; and extracting and duty ratio metering the error rate distribution information, wherein the error rate distribution information is obtained by the extraction and duty ratio metering. Setting the preset correct rate distribution interval, namely, performing correct rate definition interval for model accuracy judgment by measuring the correct rate distribution information, and directly taking a model output result as the evaluation result when the correct rate distribution interval reaches the preset correct rate distribution interval; when the accuracy distribution result does not reach the accuracy distribution interval, generating the feedback instruction, namely, performing model feedback optimization starting instruction, and performing tracing based on test data corresponding to the error rate, determining an optimization direction and an optimization degree along with receiving the feedback instruction, optimizing the heat radiation performance evaluation model, and further inputting the first associated production data set and the second associated production data set into the optimized heat radiation performance evaluation model to acquire the heat radiation index of the power supply shell and the heat radiation index of the power supply conduction as evaluation results so as to maximize and ensure the data conformity of the evaluation results.
Further, the power supply shell heat dissipation index and the power supply conduction heat dissipation index are input into the production quality management model, and the production quality assessment model comprises a production assessment sub-module, a data comparison sub-module and a comparison parameter sub-module, and the production quality assessment sub-module and the data comparison sub-module are embedded into the data comparison sub-module.
Further, as shown in fig. 3, the output quality management controllable parameter, step S500 of the present application further includes:
step S510-2: inputting the first layout feature as input information into the production quality management model, wherein the production quality management model comprises a production evaluation submodule, a data comparison submodule and a comparison parameter submodule;
step S520-2: performing quality evaluation according to the production evaluation sub-module to obtain a required heat dissipation index based on the driving power supply, wherein the required heat dissipation index comprises a shell heat dissipation required index and a conduction heat dissipation required index;
step S530-2: according to the data comparison sub-module, comparing the power supply shell heat dissipation index and the power supply conduction heat dissipation index which are input into the production quality management model with the shell heat dissipation demand index and the conduction heat dissipation demand index which are output by the production evaluation sub-module to obtain a comparison result;
step S540-2: and inputting the comparison result into the comparison parameter adjusting submodule, and outputting a quality management controllable parameter.
Further, the step S540-2 of the present application further comprises:
step S541-2: obtaining the comparison result, wherein the comparison result comprises a shell heat dissipation difference vector and a conduction heat dissipation difference vector;
step S542-2: and when the shell heat dissipation difference vector and/or the conduction heat dissipation difference vector do not meet the preset difference vector, connecting the power supply production process platform to position a shell processing node and/or an internal material filling node, and outputting quality management controllable parameters.
Further, the step S542-2 of the present application further comprises:
step S5421-2: taking the controllable parameter set as a controlled variable, taking the shell heat dissipation difference vector and the conduction heat dissipation difference vector as parameter adjustment targets, constructing an objective function, and outputting quality management controllable parameters according to the objective function;
step S5422-2: wherein, the objective function formula is as follows:
wherein, minF (x) i ,y i ) Characterizing a minimized difference vector sum, x i Characterizing an ith parameter in the shell processing node, wherein n is the sum of parameter items of the shell processing node, and n is a positive integer greater than 0; e (x) i ) Characterization is based on x i Is not limited to the desired one; y is i Characterizing an ith parameter in the internal material filling node; m is the sum of the parameter terms of the internal material filling nodes; e (y) i ) Characterization is based on y i Is not limited to the above-described embodiments.
Specifically, the execution spaces of the production evaluation submodule, the data comparison submodule and the comparison parameter submodule are defined, execution logics of the submodules are determined to respectively carry out endowing embedding of corresponding execution spaces, and connection of an output layer and an input layer of an adapter module is respectively carried out based on the forward-extending relation of the production evaluation submodule, the data comparison submodule and the comparison parameter submodule to generate the production quality management model. Inputting the first layout characteristic into the production evaluation submodel of the production quality management model, and determining the shell heat dissipation demand index and the conduction heat dissipation demand index which meet the driving operation standard as the demand heat dissipation index of the driving power supply. Transmitting the required heat dissipation index to the data comparison sub-module, comparing the power supply shell heat dissipation index with the shell heat dissipation requirement index, comparing the power supply conduction heat dissipation index with the conduction heat dissipation requirement index, and determining an index difference, wherein the index difference comprises a shell heat dissipation difference vector and a conduction heat dissipation difference vector, and the difference value and the direction are respectively included as comparison results. And further inputting the comparison result into the comparison parameter adjustment model for parameter adjustment analysis.
Specifically, the preset difference vector is set, and is a critical difference vector for measuring heat dissipation deviation, and is embedded into the comparison parameterIn the model, whether the shell heat dissipation difference vector and the conduction heat dissipation difference vector meet the preset difference vector or not is judged, and when any one of the difference vectors does not meet the preset difference vector, quality management and regulation are needed. Connecting the power supply production process platform, positioning shell processing nodes and/or internal material filling nodes in the production process nodes, counting related parameters capable of carrying out production control dynamic adjustment, such as shell thickness and the like, taking the controllable parameter set as a controlled vector, taking a shell heat dissipation difference vector and a conduction heat dissipation difference vector as requirements to be adjusted, taking the shell heat dissipation difference vector and the conduction heat dissipation difference vector as parameter adjustment targets, and building the objective functionWherein, minF (x) i ,y i ) Characterizing a minimized difference vector sum, x i Characterizing an ith parameter in the shell processing node, wherein n is the sum of parameter items of the shell processing node, and n is a positive integer greater than 0; e (x) i ) Characterization is based on x i Is not limited to the desired one; y is i Characterizing an ith parameter in the internal material filling node; m is the sum of the parameter terms of the internal material filling nodes; e (y) i ) Characterization is based on y i In the embodiment of the application, the parameters can be obtained through data evaluation and statistics, and the objective function is an auxiliary processing tool for comprehensive parameter regulation analysis, so that the analysis efficiency and accuracy can be effectively improved. And inputting the controllable parameter set into the objective function, determining parameters to be adjusted for maximizing the elimination of the heat dissipation difference vector under comprehensive evaluation control, and carrying out fit regulation and control management on production by combining the parameter adjustment target, namely the shell heat dissipation difference vector and the conduction heat dissipation difference vector as information to be adjusted.
Example two
Based on the same inventive concept as the production quality management method of an LED driving power supply in the foregoing embodiments, as shown in fig. 4, the present application provides a production quality management system of an LED driving power supply, the system comprising:
the design diagram acquisition module 11 is used for connecting the LED digital circuit module and acquiring an LED circuit design diagram;
a placement mode judging module 12, where the placement mode judging module 12 is configured to judge, according to the LED circuit design diagram, whether a placement mode of a driving power supply is a built-in mode, where the driving power supply is a power device for driving an LED lamp to illuminate based on the LED circuit design diagram;
the feature determining module 13 is configured to determine a first layout feature when the placement mode of the driving power supply is a built-in mode, where the first layout feature includes a power feature of a built-in power supply, a power feature of a surrounding contact device, and a heat dissipation structure feature of the built-in power supply;
the platform acquisition module 14 is used for acquiring a power supply production process platform of the driving power supply;
the parameter output module 15 is configured to input the first layout feature as input information into a production quality management model, and output a quality management controllable parameter, where the production quality management model interacts with the power supply production process platform data;
the platform management module 16 is used for managing the power supply production process platform based on the quality management controllable parameters by the platform management module 16.
Further, the system further comprises:
the data calling module is used for calling a historical production data set of the power supply production process platform, wherein the historical production data set comprises production data of a plurality of process flows;
the heat dissipation evaluation module is used for carrying out heat dissipation evaluation according to the historical production data set and outputting an evaluation result, wherein the evaluation result comprises a power supply shell heat dissipation index and a power supply conduction heat dissipation index;
and the data input module is used for inputting the power supply shell heat dissipation index and the power supply conduction heat dissipation index into the production quality management model.
Further, the system further comprises:
the feature input module is used for inputting the first layout feature as input information into the production quality management model, wherein the production quality management model comprises a production evaluation sub-module, a data comparison sub-module and a comparison parameter comparison sub-module;
the index acquisition module is used for carrying out quality evaluation according to the production evaluation sub-module to obtain a required heat dissipation index based on the driving power supply, wherein the required heat dissipation index comprises a shell heat dissipation requirement index and a conduction heat dissipation requirement index;
the index comparison module is used for comparing the power supply shell heat dissipation index and the power supply conduction heat dissipation index which are input into the production quality management model with the shell heat dissipation demand index and the conduction heat dissipation demand index which are output by the production evaluation sub-module according to the data comparison sub-module to obtain a comparison result;
and the quality management controllable parameter output module is used for inputting the comparison result into the comparison parameter adjustment submodule and outputting the quality management controllable parameter.
Further, the system further comprises:
the result acquisition module is used for acquiring the comparison result, wherein the comparison result comprises a shell heat dissipation difference vector and a conduction heat dissipation difference vector;
the node positioning module is used for connecting the power supply production process platform to position the shell processing node and/or the internal material filling node when the shell heat dissipation difference vector and/or the conduction heat dissipation difference vector do not meet the preset difference vector, and outputting the quality management controllable parameters.
Further, the system further comprises:
the function building module is used for building an objective function by taking the controllable parameter set as a controlled variable and taking the shell heat dissipation difference vector and the conduction heat dissipation difference vector as parameter adjustment targets, and outputting quality management controllable parameters according to the objective function;
the formula acquisition module is used for acquiring the following objective function formula:
wherein, minF (x) i ,y i ) Characterizing a minimized difference vector sum, x i Characterizing an ith parameter in the shell processing node, wherein n is the sum of parameter items of the shell processing node, and n is a positive integer greater than 0; e (x) i ) Characterization is based on x i Is not limited to the desired one; y is i Characterizing an ith parameter in the internal material filling node; m is the sum of the parameter terms of the internal material filling nodes; e (y) i ) Characterization is based on y i Is not limited to the above-described embodiments.
Further, the system further comprises:
the data identification module is used for identifying the historical production data set to obtain a first associated production data set and a second associated production data set, wherein the first associated production data set is a production data set related to heat dissipation performance of a power supply shell, and the second associated production data set is a production data set related to heat dissipation performance of power supply conduction;
the model training module is used for setting training data and test data according to the first associated production data set and the second associated production data set, and training the training data until convergence is achieved to obtain a heat radiation performance evaluation model; and
and the model test module is used for testing the heat radiation performance evaluation model according to the test data, and outputting the evaluation result after the test result reaches the standard.
Further, the system further comprises:
the distribution information determining module is used for testing the heat radiation performance evaluation model according to the test data to determine correct rate distribution information and error rate distribution information;
and the feedback optimization module is used for acquiring a feedback instruction when the correct rate distribution information does not reach a preset correct rate distribution interval, and optimizing the heat radiation performance evaluation model according to the feedback instruction.
The foregoing detailed description of a method for managing the production quality of an LED driving power supply will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple in description, and the relevant points refer to the description of the method section because it corresponds to the method disclosed in the embodiment.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for managing the production quality of an LED driving power supply, the method being applied to a system for managing the production quality of an LED driving power supply, the system being communicatively connected to an LED digital circuit module, the method comprising:
connecting the LED digital circuit module to obtain an LED circuit design diagram;
judging whether a placement mode of a driving power supply is a built-in mode according to the LED circuit design diagram, wherein the driving power supply is a power supply device used for driving an LED lamp to illuminate in the LED circuit design diagram;
when the placement mode of the driving power supply is a built-in mode, determining a first layout characteristic, wherein the first layout characteristic comprises a power characteristic of a built-in power supply, a power characteristic of surrounding contact devices and a heat dissipation structure characteristic of the built-in power supply;
acquiring a power supply production process platform of the driving power supply;
inputting the first layout characteristic as input information into a production quality management model to output quality management controllable parameters, wherein the production quality management model is interacted with the power supply production process platform data;
and managing the power supply production process platform based on the quality management controllable parameters.
2. The method of claim 1, wherein the method further comprises:
a historical production dataset of the power supply production process platform is called, wherein the historical production dataset comprises production data of a plurality of process flows;
carrying out heat dissipation evaluation according to the historical production data set, and outputting an evaluation result, wherein the evaluation result comprises a power supply shell heat dissipation index and a power supply conduction heat dissipation index;
and inputting the power supply shell heat dissipation index and the power supply conduction heat dissipation index into the production quality management model.
3. The method of claim 2, wherein the output quality manages controllable parameters, the method further comprising:
inputting the first layout feature as input information into the production quality management model, wherein the production quality management model comprises a production evaluation submodule, a data comparison submodule and a comparison parameter submodule;
performing quality evaluation according to the production evaluation sub-module to obtain a required heat dissipation index based on the driving power supply, wherein the required heat dissipation index comprises a shell heat dissipation required index and a conduction heat dissipation required index;
according to the data comparison sub-module, comparing the power supply shell heat dissipation index and the power supply conduction heat dissipation index which are input into the production quality management model with the shell heat dissipation demand index and the conduction heat dissipation demand index which are output by the production evaluation sub-module to obtain a comparison result;
and inputting the comparison result into the comparison parameter adjusting submodule, and outputting a quality management controllable parameter.
4. A method as claimed in claim 3, wherein the method further comprises:
obtaining the comparison result, wherein the comparison result comprises a shell heat dissipation difference vector and a conduction heat dissipation difference vector;
and when the shell heat dissipation difference vector and/or the conduction heat dissipation difference vector do not meet the preset difference vector, connecting the power supply production process platform to position a shell processing node and/or an internal material filling node, and outputting quality management controllable parameters.
5. The method of claim 4, wherein the controllable parameter set is used as a controlled variable, the shell heat dissipation difference vector and the conduction heat dissipation difference vector are used as parameter adjustment targets, an objective function is built, and controllable parameters are output according to the objective function;
wherein, the objective function formula is as follows:
wherein, minF (x) i ,y i ) Characterizing a minimized difference vector sum, x i Characterizing an ith parameter in the shell processing node, wherein n is the sum of parameter items of the shell processing node, and n is a positive integer greater than 0; e (x) i ) Characterization is based on x i Is not limited to the desired one; y is i Characterizing an ith parameter in the internal material filling node; m is the sum of the parameter terms of the internal material filling nodes; e (y) i ) Characterization is based on y i Is not limited to the above-described embodiments.
6. The method of claim 2, wherein the evaluating the heat dissipation from the historical production dataset and outputting an evaluation result, the method comprising:
identifying the historical production data set to obtain a first associated production data set and a second associated production data set, wherein the first associated production data set is a production data set related to heat dissipation performance of a power supply shell, and the second associated production data set is a production data set related to heat dissipation performance of power supply conduction;
setting training data and test data according to the first associated production data set and the second associated production data set, and training according to the training data until convergence to obtain a heat radiation performance evaluation model; and
and testing the heat radiation performance evaluation model according to the test data, and outputting the evaluation result after the test result reaches the standard.
7. The method of claim 6, wherein the thermal performance assessment model is tested according to the test data, the method comprising:
testing the heat radiation performance evaluation model according to the test data to determine correct rate distribution information and error rate distribution information;
and when the accuracy distribution information does not reach a preset accuracy distribution interval, acquiring a feedback instruction, and optimizing the heat radiation performance evaluation model according to the feedback instruction.
8. A system for quality management of LED drive power, the system communicatively coupled to an LED digital circuit module, the system comprising:
the design diagram acquisition module is used for connecting the LED digital circuit module and acquiring an LED circuit design diagram;
the placement mode judging module is used for judging whether the placement mode of the driving power supply is a built-in mode according to the LED circuit design diagram, wherein the driving power supply is a power supply device used for driving the LED lamp to illuminate in the LED circuit design diagram;
the characteristic determining module is used for determining a first layout characteristic when the placement mode of the driving power supply is a built-in mode, wherein the first layout characteristic comprises a power characteristic of a built-in power supply, a power characteristic of surrounding contact devices and a heat dissipation structure characteristic of the built-in power supply;
the platform acquisition module is used for acquiring a power supply production process platform of the driving power supply;
the parameter output module is used for inputting the first layout characteristic as input information into a production quality management model and outputting quality management controllable parameters, wherein the production quality management model is interacted with the power supply production process platform data;
and the platform management module is used for managing the power supply production process platform based on the quality management controllable parameters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310714565.5A CN116739423B (en) | 2023-06-16 | 2023-06-16 | Production quality management method and system for LED driving power supply |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310714565.5A CN116739423B (en) | 2023-06-16 | 2023-06-16 | Production quality management method and system for LED driving power supply |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116739423A true CN116739423A (en) | 2023-09-12 |
| CN116739423B CN116739423B (en) | 2023-11-03 |
Family
ID=87916451
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310714565.5A Active CN116739423B (en) | 2023-06-16 | 2023-06-16 | Production quality management method and system for LED driving power supply |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116739423B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103927408A (en) * | 2014-03-05 | 2014-07-16 | 哈尔滨电机厂有限责任公司 | Quality control design method for hydraulic generators |
| CN107392424A (en) * | 2017-06-14 | 2017-11-24 | 中国航空综合技术研究所 | A kind of method for establishing quality fluctuation source ISM in manufacture course of products |
| CN115993807A (en) * | 2023-03-23 | 2023-04-21 | 日照鲁光电子科技有限公司 | Production monitoring optimization control method and system for silicon carbide |
-
2023
- 2023-06-16 CN CN202310714565.5A patent/CN116739423B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103927408A (en) * | 2014-03-05 | 2014-07-16 | 哈尔滨电机厂有限责任公司 | Quality control design method for hydraulic generators |
| CN107392424A (en) * | 2017-06-14 | 2017-11-24 | 中国航空综合技术研究所 | A kind of method for establishing quality fluctuation source ISM in manufacture course of products |
| CN115993807A (en) * | 2023-03-23 | 2023-04-21 | 日照鲁光电子科技有限公司 | Production monitoring optimization control method and system for silicon carbide |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116739423B (en) | 2023-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115833400B (en) | Monitoring and early warning method and system for power equipment of transformer substation | |
| US7133787B2 (en) | Method of managing electric power generator, managing device, electric power generator, communications device, computer program therefor, and managing system for electric power generator | |
| CN115575754B (en) | Intelligent industrial park electricity consumption anomaly identification method and system | |
| CN109863830A (en) | Monitoring light | |
| CN110411580B (en) | Diagnosis method and diagnosis system for heating defects of electric equipment | |
| CN109451304B (en) | Batch focusing test method and system for camera modules | |
| CN116739423B (en) | Production quality management method and system for LED driving power supply | |
| KR20210135281A (en) | Battery performance evaluation method and battery performance evaluation device | |
| WO2021009787A1 (en) | Method for determining electrical losses of an electric line, due to a malfunctioning or tampering of an electricity meter | |
| CN116471722B (en) | Intelligent detection and adjustment method and system for running state of LED driving power supply | |
| CN117613430A (en) | New energy battery comprehensive test energy management method and system | |
| CN117610884A (en) | Power dispatching system and method based on data management platform | |
| CN116882079A (en) | Water pump characteristic curve self-adaptive calibration and prediction method | |
| CN116011237A (en) | Multi-die thermodynamic model, temperature prediction method and frequency multiplier simulation method | |
| CN114860813A (en) | Full life cycle management system for metering device | |
| CN117750595B (en) | Hybrid light source control method, system, electronic equipment and storage medium | |
| CN118051083A (en) | Intelligent temperature control method and device for heating wire | |
| CN116527144B (en) | Optical fiber signal conversion method and system based on external interface | |
| CN116071532B (en) | Intelligent door control method and system for outdoor cabinet | |
| CN117213561B (en) | Power line monitoring method and system applied to optical fiber sensor | |
| CN117543823B (en) | Photovoltaic group string loss electric quantity calculation method and system based on multiple models | |
| CN113555856B (en) | Intelligent control method, device and system for circuit breaker | |
| CN117034557A (en) | Noise prediction method and device for charging pile | |
| CN117728079B (en) | Battery temperature control management method and system for new energy battery pack | |
| CN115629353A (en) | Pre-investigation method and system for abnormal electric meter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Production Quality Management Method and System for LED Driver Power Supply Granted publication date: 20231103 Pledgee: Tongyuan sub branch of Zhejiang Haiyan Rural Commercial Bank Co.,Ltd. Pledgor: ZHEJIANG RAILEN ELECTRONICS TECHNOLOGY Co.,Ltd. Registration number: Y2024330000739 |