Lamp production control method, system and equipment

Abstract

The invention is suitable for the technical field of lamp production, and particularly relates to a lamp production management and control method, system and equipment, and the method comprises the steps: obtaining lamp wick information; wherein the wick information comprises light emitting colors and detection light intensity of the plurality of wick detected by the light splitting device; analyzing according to the lampwick information to obtain luminescence distribution data; wherein the light-emitting distribution data is used for reflecting the light-emitting distribution condition of each lamp wick; analyzing according to the luminescence distribution data to obtain sorting data; the sorting data is used for reflecting information of actual light emitting groups of the lamp wicks; and based on the sorting data, the light splitting device is controlled to carry out light splitting treatment on the multiple lamp wicks. According to the method, the actual light-emitting characteristic of each lamp wick can be obtained, the accuracy of the light splitting result is improved, efficient and accurate light splitting processing of the plurality of lamp wick is further realized, the production efficiency is remarkably improved, and the consistency and reliability of the product quality are also improved.

Description

Technical Field

[0001] The present application belongs to the technical field of lamp production, and in particular, relates to a lamp production control method, system and equipment. Background Art

[0002] In modern lighting technology, LED (Light Emitting Diode) is widely used in various lamps due to its advantages such as high efficiency, long life and environmental protection. In the production process of LED lamps, the quality control of the wick is particularly important, especially for the consistency of the luminous characteristics. In the mass production of LED lamps, how to efficiently and accurately split the wick has become a key technical issue.

[0003] The traditional method of splitting the light of LED wicks usually adopts a one-by-one testing method, that is, only a single LED wick is powered on for testing each time, and its parameters such as luminous color and light intensity are recorded. Although this method can provide high detection accuracy, it is inefficient and cannot meet the needs of large-scale production. In recent years, with the advancement of automation technology and optical detection technology, a variety of methods for batch splitting of LED wicks have emerged. By using automated equipment and advanced detection technology, multiple LED wicks can be tested in a shorter time, but the wicks may interfere with each other, resulting in inaccurate detection results. Summary of the invention

[0004] The embodiments of the present application provide a lamp production control method, system and equipment, which can solve the problems of low efficiency and inaccurate detection results of traditional LED wick splitting methods.

[0005] In a first aspect, an embodiment of the present application provides a lamp production control method, including:

[0006] Acquire wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device;

[0007] Analyze the wick information to obtain luminous distribution data; wherein the luminous distribution data is used to reflect the luminous distribution of each wick;

[0008] Analyze the light distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual light grouping of the wick;

[0009] The spectrometer is controlled based on the sorting data to perform spectroscopic processing on the plurality of wicks.

[0010] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0011] The lamp production control method provided by the present application obtains the wick information including the luminous colors and light intensity of multiple wicks detected by the spectrometer; then analyzes the wick information to obtain the luminous distribution data reflecting the luminous distribution of each wick; then analyzes the luminous distribution data to obtain the sorting data reflecting the information of the actual luminous grouping of the wicks; finally controls the spectrometer to perform spectroscopic processing on the multiple wicks based on the sorting data. While the method performs batch detection on multiple wicks through the subpackaging device, it can obtain the actual luminous characteristics of each wick through in-depth analysis of the luminous distribution data, improve the accuracy of the spectroscopic results, and thus realize efficient and accurate spectroscopic processing of multiple wicks, which not only significantly improves production efficiency, but also improves the consistency and reliability of product quality.

[0012] In a possible implementation manner of the first aspect, the analyzing according to the wick information to obtain the light distribution data includes:

[0013] Analyze the detected light intensity of the wick information to obtain the luminous distribution gradient of the luminous distribution data; wherein the luminous distribution gradient is used to reflect the size ranking of the detected light intensity of the wick and the corresponding wick position;

[0014] The luminous color of the wick information is analyzed to obtain color difference information of the luminous distribution data; wherein the color difference information is used to reflect the chromaticity difference between every two wicks in the multiple wicks.

[0015] In a possible implementation manner of the first aspect, the analyzing according to the luminescence distribution data to obtain the sorting data includes:

[0016] Analyze the color difference information of the luminous distribution data to obtain at least one chromaticity group; wherein the chromaticity group contains any wick whose chromaticity difference value is less than a preset chromaticity difference value;

[0017] The sorting data is obtained by analyzing the luminous distribution gradient and the chromaticity group.

[0018] In a possible implementation manner of the first aspect, analyzing the color difference information of the luminous distribution data to obtain at least one chromaticity group includes:

[0019] Analyze the color difference information of the luminous distribution data to obtain maximum chromaticity information and minimum chromaticity information; wherein the maximum chromaticity information is used to reflect the wick with the largest chromaticity value among the multiple wicks, and the minimum chromaticity information is used to reflect the wick with the smallest chromaticity value among the multiple wicks;

[0020] An analysis is performed based on the maximum chroma information and the minimum chroma information to obtain at least one chroma group.

[0021] In a possible implementation manner of the first aspect, performing analysis according to the maximum chromaticity information and the minimum chromaticity information to obtain at least one chromaticity group includes:

[0022] Calculating a maximum chromaticity difference between the maximum chromaticity information and the minimum chromaticity information;

[0023] The maximum chromaticity difference value is compared with the preset chromaticity difference value. If the maximum chromaticity difference value is less than or equal to the preset chromaticity difference value, a chromaticity group is obtained; if the maximum chromaticity difference value is greater than the preset chromaticity difference value, multiple chromaticity groups are obtained according to the maximum chromaticity information, the minimum chromaticity information and the preset chromaticity difference value.

[0024] In a possible implementation manner of the first aspect, the analyzing according to the luminous distribution gradient and the chromaticity group to obtain the sorting data includes:

[0025] If all the wicks of the luminous distribution gradient are in the same chromaticity group, the position of the wick corresponding to the highest order position in the luminous distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wicks are identified to obtain the first wick luminous normal group;

[0026] Calculating a first intensity difference between a wick in the first wick normal lighting group and an adjacent wick; wherein the first intensity difference is used to reflect the difference in the detected light intensity of the two wicks;

[0027] A first interference coefficient is obtained based on the first intensity difference; wherein the first interference coefficient is used to reflect the degree of light interference of the wick with a strong detection light intensity on the wick with a weak detection light intensity;

[0028] According to the detected light intensity reflected by the first wick normal lighting group and the first interference coefficient, a first wick lighting correction group is obtained; wherein the first wick lighting correction group is used to reflect the location and actual lighting intensity of other wicks except the wick reflected by the first position information;

[0029] Sorting data is obtained based on the first wick normal lighting group and the first wick corrected lighting group.

[0030] In a possible implementation manner of the first aspect, the performing analysis according to the luminescence distribution gradient and the chromaticity group to obtain the sorting data further includes:

[0031] If all the wicks of the luminous distribution gradient are not located in the same chromaticity group, third position information is determined; wherein the third position information is used to reflect the number of wicks with abnormal luminous colors and their corresponding positions;

[0032] Identify the position of the wick corresponding to the highest order bit in the light distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wick, and obtain fourth position information;

[0033] An analysis is performed based on the third position information, the fourth position information and the chromaticity group to obtain sorting data.

[0034] In a possible implementation manner of the first aspect, the performing analysis according to the third position information, the fourth position information, and the chromaticity group to obtain the sorting data includes:

[0035] Determine a second wick normal lighting group based on the third position information and the fourth position information; wherein the second wick normal lighting group includes wicks corresponding to the third position information and the fourth position information and wicks adjacent to the wick corresponding to the third position information;

[0036] Calculate a second intensity difference between the wick of the fourth position information and an adjacent wick;

[0037] obtaining a second interference coefficient based on the second intensity difference;

[0038] According to the detected light intensity reflected by the first wick normal lighting group and the second interference coefficient, a second wick lighting correction group is obtained; wherein the second wick lighting correction group is used to reflect the position and actual lighting intensity of other wicks except the wicks reflected by the third position information and the fourth position information;

[0039] Sorting data is obtained based on the chromaticity group, the second wick normal lighting group and the second wick corrected lighting group.

[0040] In a second aspect, an embodiment of the present application provides a lamp production control system, including:

[0041] An acquisition module, used to acquire wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device;

[0042] A first analysis module is used to analyze the wick information to obtain light distribution data; wherein the light distribution data is used to reflect the light distribution of each wick;

[0043] A second analysis module is used to analyze the light distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual light emitting grouping of the wick;

[0044] A control module is used to control the light splitting device to perform light splitting processing on multiple wicks based on the sorting data.

[0045] In a third aspect, an embodiment of the present application provides a lighting production control device, comprising a spectrometer and a control device, wherein the control device is electrically connected to the spectrometer, and the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0046] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0047] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a lamp production control device, the lamp production control device executes the lamp production control method described in any one of the above-mentioned first aspects.

[0048] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 It is a flow chart of a lamp production control method provided in an embodiment of the present application;

[0051] Figure 2 It is a schematic diagram of the implementation process of the lamp production control method provided in the embodiment of the present application;

[0052] Figure 3 It is a structural schematic diagram of a lamp production control system provided in an embodiment of the present application;

[0053] Figure 4 It is a structural schematic diagram of the control device of the lighting production control equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0055] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0056] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0057] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0058] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0059] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0060] In modern lighting technology, LED (Light Emitting Diode) is widely used in various lamps due to its advantages such as high efficiency, long life and environmental protection. In the production process of LED lamps, the quality control of the wick is particularly important, especially for the consistency of the luminous characteristics. In the mass production of LED lamps, how to efficiently and accurately split the wick has become a key technical issue.

[0061] The traditional method of splitting the light of LED wicks usually adopts a one-by-one testing method, that is, only a single LED wick is powered on for testing each time, and its parameters such as luminous color and light intensity are recorded. Although this method can provide high detection accuracy, it is inefficient and cannot meet the needs of large-scale production. In recent years, with the advancement of automation technology and optical detection technology, a variety of methods for batch splitting of LED wicks have emerged. By using automated equipment and advanced detection technology, multiple LED wicks can be tested in a shorter time, but the wicks may interfere with each other, resulting in inaccurate detection results.

[0062] To solve the above problems, the embodiments of the present application provide a method, system and device for lamp production control. In this method, the wick information including the luminous colors and light intensity detected by the spectrometer is obtained; then the wick information is analyzed to obtain the luminous distribution data reflecting the luminous distribution of each wick; then the luminous distribution data is analyzed to obtain the sorting data reflecting the information of the actual luminous grouping of the wicks; finally, the spectrometer is controlled to perform spectroscopic processing on the multiple wicks based on the sorting data. While the method performs batch detection on multiple wicks through the subpackaging device, it can obtain the actual luminous characteristics of each wick through in-depth analysis of the luminous distribution data, improve the accuracy of the spectroscopic results, and thus realize efficient and accurate spectroscopic processing of multiple wicks, which not only significantly improves production efficiency, but also improves the consistency and reliability of product quality.

[0063] The lamp production control method provided in the embodiment of the present application can be applied to lamp production control equipment. In this case, the lamp production control equipment is the executor of the lamp production control method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the lamp production control equipment.

[0064] For example, the lamp production control equipment may include a spectrometer and a control device, and the control device is electrically connected to the spectrometer. The spectrometer is used to collect the luminous intensity and luminous color of each light, and classify each wick according to the analysis results. The spectrometer includes an optical detection device, a light source driving device, a sorting device, etc. Among them, the optical detection device is used to detect the luminous color and luminous intensity of the wick. For example, the optical detection device may include a spectrometer and a photometer, or a CCD or CMOS sensor, etc., but is not limited to this. The light source driving device is used to provide a stable current to the wick, and is used to control the on and off time of the current. The light source driving device may include a constant current power supply and a pulse controller. The sorting device is used to send the wick to the detection position and classify and store it according to the detection results. The sorting device can be a manipulator or a conveyor belt, etc., but is not limited to this. The control device monitors and controls the entire melting process, extrusion process and cooling process.

[0065] For example, the control device may include mobile phones, tablet computers, wearable devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs), desktop computers, smart large screens, smart TVs and other terminal devices, handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, Internet of Things terminals, handheld communication devices, handheld computing devices, satellite wireless devices, etc.

[0066] In order to better understand the lamp production control method provided in the embodiment of the present application, the specific implementation process of the lamp production control method provided in the embodiment of the present application is exemplarily introduced below.

[0067] Figure 1 and Figure 2 A schematic flow chart of a lamp production control method provided in an embodiment of the present application is shown, and the lamp production control method includes:

[0068] S100, obtaining wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device.

[0069] It is understood that the wick information can be obtained through a spectrometer and a photometer, or through a CCD or CMOS sensor, etc., but is not limited thereto. The detected light intensity refers to the detected luminous intensity of the wick, which does not necessarily represent the actual luminous intensity.

[0070] S200, analyzing the wick information to obtain luminous distribution data; wherein the luminous distribution data is used to reflect the luminous distribution of each wick.

[0071] It is understandable that when the wick is made, the color of the wick is usually changed by applying materials such as fluorescent powder on the surface, and the quality of the fluorescent powder directly affects the color rendering effect of the wick. For example, when making wicks of the same specifications, the thickness of the surface material applied to individual wicks is inconsistent, and the luminous color may be different. The luminous intensity of the wick is related to its own luminous characteristics, that is, the luminous intensity of wicks produced in the same batch may also be different. The luminous colors of multiple wicks can be classified, and the luminous intensity of wicks in the same color can be classified to obtain luminous distribution data based on the location of each wick; the luminous color and detected light intensity of each wick can also be marked through a three-dimensional coordinate system to display the luminous distribution data of each wick, etc., but not limited to this.

[0072] In a possible implementation, in step S200, analyzing the wick information to obtain light distribution data includes:

[0073] S210, analyzing the detected light intensity of the wick information to obtain a luminous distribution gradient of the luminous distribution data; wherein the luminous distribution gradient is used to reflect the size ranking of the detected light intensity of the wicks and the corresponding wick positions.

[0074] It can be understood that the light intensity values ​​detected by each wick are first sorted, and then the light intensity value of each wick is marked in sequence at the position of the wick to obtain the luminous distribution gradient.

[0075] S220, analyzing the luminous color of the wick information to obtain color difference information of the luminous distribution data; wherein the color difference information is used to reflect the chromaticity difference between every two wicks in the plurality of wicks.

[0076] It can be understood that by measuring the color of each wick and converting the color into a data value, it can be represented by an RGB value or a CIE XYZ value, and the color difference between any two wicks can be calculated. The difference can be quantified using various color difference formulas, such as CIEDE2000 or CIE76. The color difference values ​​between all the wicks are collected to form a complete color difference matrix or list, which is the color difference information.

[0077] S300, analyzing the light distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual light emitting grouping of the wick.

[0078] It can be understood that the sorting data is used to classify the wicks, that is, the sorting data includes the actual specifications of each wick. Exemplarily, the actual luminous intensity of each wick can be obtained through the color difference information and luminous distribution gradient of the luminous distribution data, and then each wick is matched and classified with the preset luminous color group and luminous intensity group in combination with the luminous color to obtain the sorting data; the luminous distribution data can also be input into the learning model, and the learning model outputs the corresponding sorting data, etc., but not limited to this. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes luminous distribution data and corresponding sorting data.

[0079] In a possible implementation, in step S300, analyzing the luminescence distribution data to obtain sorting data includes:

[0080] S310, analyzing the color difference information of the luminous distribution data to obtain at least one chromaticity group; wherein the chromaticity group includes any wick whose chromaticity difference value is less than a preset chromaticity difference value.

[0081] It can be understood that the preset chromaticity difference value is a pre-set value, which can be manually input or obtained from the spectroscopic database, etc., but is not limited to this. A chromaticity group represents a chromaticity interval, and the chromaticity difference between the upper and lower limits of the chromaticity interval is greater than or equal to the preset chromaticity difference value. The spectroscopic database refers to a database that includes preset speed difference values. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and previous experience. After obtaining, the collected data is sorted, classified and archived, useful information and rules are extracted, and the relevant data is saved in the database to obtain a luminescence database. Exemplarily, the maximum chromaticity difference value can be obtained through chromaticity information, and then the maximum chromaticity difference value is compared and analyzed with the preset chromaticity difference value to obtain a chromaticity group; the chromaticity difference value can also be input into a learning model, and the learning model then outputs the corresponding chromaticity group, etc., but is not limited to this.

[0082] In a possible implementation, in step S310, the color difference information of the luminous distribution data is analyzed to obtain at least one chromaticity group, including:

[0083] S311, analyze the color difference information of the luminous distribution data to obtain maximum chromaticity information and minimum chromaticity information; wherein the maximum chromaticity information is used to reflect the wick with the largest chromaticity value among multiple wicks, and the minimum chromaticity information is used to reflect the wick with the smallest chromaticity value among multiple wicks.

[0084] Exemplarily, the chromaticity value corresponding to the maximum value reflected by the color difference information can be directly used as the maximum chromaticity information and the minimum chromaticity information; the maximum chromaticity information and the minimum chromaticity information can also be directly extracted through the color difference matrix, that is, first calculate the color difference between any two wicks according to the color value of each wick (for example, the x and y values ​​in the CIE1931 chromaticity coordinates) (such as using the CIEDE2000 formula), and obtain the color difference matrix between all wicks, and then find the wick whose chromaticity coordinates deviate the farthest, which is the maximum chromaticity information, and the wick whose chromaticity coordinates are closest to the standard value or average value is the minimum chromaticity information, and so on, but not limited to this.

[0085] S312: Analyze according to the maximum chroma information and the minimum chroma information to obtain at least one chroma group.

[0086] Exemplarily, at least one chromaticity group can be obtained by calculating the difference between the maximum chromaticity information and the minimum chromaticity information, and then comparing and analyzing it with a preset difference; the maximum chromaticity information and the minimum chromaticity information can also be matched with the spectroscopic database to obtain at least one chromaticity interval, and then the chromaticity value of each wick can be matched to the corresponding chromaticity interval to form at least one chromaticity group, and so on, but not limited to this.

[0087] In a possible implementation, in step S312, analysis is performed according to the maximum chromaticity information and the minimum chromaticity information to obtain at least one chromaticity group, including:

[0088] S3121, calculating the maximum chromaticity difference between the maximum chromaticity information and the minimum chromaticity information.

[0089] It can be understood that the maximum chromaticity difference value is obtained by comparing the chromaticity value reflected by the maximum chromaticity information with the chromaticity value reflected by the minimum chromaticity information.

[0090] S3122, compare the maximum chromaticity difference with the preset chromaticity difference. If the maximum chromaticity difference is less than or equal to the preset chromaticity difference, a chromaticity group is obtained; if the maximum chromaticity difference is greater than the preset chromaticity difference, multiple chromaticity groups are obtained according to the maximum chromaticity information, the minimum chromaticity information and the preset chromaticity difference.

[0091] It can be understood that if the maximum chromaticity difference is less than or equal to the preset chromaticity difference, it means that the luminous colors of the multiple wicks detected at the same time belong to the same color, that is, they are in the same chromaticity group. If the maximum chromaticity difference is greater than the preset chromaticity difference, it means that there is an abnormal coating material application in the multiple wicks. At this time, a chromaticity group can be obtained by the maximum chromaticity information or the minimum chromaticity information and the preset chromaticity difference, and then the lower limit value or the upper limit value of the chromaticity group is calculated and the difference with the minimum chromaticity information or the maximum chromaticity information is compared with the preset chromaticity difference again, so as to obtain multiple chromaticity intervals, and then the abnormal chromaticity value of the wick is matched to the chromaticity interval to obtain multiple chromaticity groups. It is also possible to analyze whether the maximum chromaticity information or the minimum chromaticity information is within the difference range after calculating the difference between the lower limit value or the upper limit value of the chromaticity group and the minimum chromaticity information or the maximum chromaticity information. If so, two chromaticity groups are obtained, and if not, at least two chromaticity groups are obtained, and so on, but not limited to this.

[0092] S320, analyzing according to the luminous distribution gradient and the chromaticity group to obtain sorting data.

[0093] It can be understood that the light interference between two adjacent wicks of different luminous colors is very small, that is, the interference between the detected luminous intensities can be ignored. In addition, the wick with a large luminous intensity has a greater light interference on the wick with a small luminous intensity, while the wick with a small luminous intensity has a smaller light interference on the wick with a large luminous intensity. Exemplarily, the sorting data can be obtained by determining the luminous intensities of wicks with different luminous colors and wicks with a larger luminous intensity, and then calculating the actual value of the wick with a smaller luminous intensity; the luminous distribution gradient and chromaticity group can also be input into the learning model, and the learning model then outputs the corresponding sorting data, and so on, but is not limited to this.

[0094] In a possible implementation, in step S320, analysis is performed based on the luminous distribution gradient and the chromaticity group to obtain sorting data, including:

[0095] S321a, if all the wicks of the luminous distribution gradient are in the same chromaticity group, then identify the position of the wick corresponding to the highest order bit in the luminous distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wicks to obtain the first wick normal lighting group.

[0096] It can be understood that if all the wicks of the luminous distribution gradient are in the same chromaticity group, it means that the luminous color consistency is high, that is, the detection light intensity between the wicks has a greater impact. At this time, the information of the wick with the largest detection light intensity in the luminous distribution gradient and the information of the wick corresponding to the detection light intensity greater than the detection light intensity of the adjacent wicks can be determined first, and the first wick luminous normal group with the detection light intensity being the actual light intensity can be obtained. The wick corresponding to the detection light intensity greater than the detection light intensity of the adjacent wicks means that the detection light intensity is greater than the detection light intensity of the adjacent wicks on both sides. If the wick is located on both sides of the wick group, it only needs to be greater than the detection light intensity of the wick on the adjacent side.

[0097] S322a, calculating the first intensity difference between the wick in the first wick normal lighting group and the adjacent wick; wherein the first intensity difference is used to reflect the difference in the detected light intensity of the two wicks.

[0098] It can be understood that the first intensity difference=the detected light intensity of the wicks in the first wick-lighting normal group minus the detected light intensity of the adjacent wicks.

[0099] S323a, obtaining a first interference coefficient based on the first intensity difference; wherein the first interference coefficient is used to reflect the degree of light interference of the wick with a strong detection light intensity on the wick with a weak detection light intensity.

[0100] It can be understood that different intensity differences correspond to different interference coefficients. The greater the intensity difference, the greater the interference coefficient. The first intensity difference can be matched in the spectroscopic database to obtain the corresponding first interference coefficient; the first intensity difference can also be input into the learning model, and the learning model outputs the corresponding first interference coefficient, and so on, but not limited to this. The spectroscopic database also contains different intensity differences and corresponding interference coefficients. The learning model is trained by inputting multiple groups of different intensity differences and corresponding interference coefficients.

[0101] S324a, obtaining the first wick lighting correction group according to the detected light intensity reflected by the first wick lighting normal group and the first interference coefficient; wherein the first wick lighting correction group is used to reflect the position and actual lighting intensity of other wicks except the wick reflected by the first position information.

[0102] It can be understood that the actual light intensity of the wicks adjacent to the first wick normal lighting group = the detected light intensity of the wicks adjacent to the first wick normal lighting group - the detected light intensity of the wicks of the first wick normal lighting group × the first interference coefficient. In this way, the actual light intensity of other wicks can be obtained in turn through the detected light intensity reflected by the first wick normal lighting group and the first interference coefficient of each adjacent wick, and the wick correction group can be obtained.

[0103] S325a, obtaining sorting data based on the first wick normal lighting group and the first wick corrected lighting group.

[0104] It can be understood that after obtaining the actual luminous intensity of each wick, it is matched with the preset luminous intensity group to obtain the sorting data. The preset luminous intensity group is a pre-set luminous intensity division interval, which can be manually input or obtained from the spectral database, etc., but is not limited thereto.

[0105] With such arrangement, by obtaining the first wick normal lighting group and the first wick corrected lighting group, sorting can be performed more reasonably; by accurately calculating and correcting the actual luminous intensity of each wick, the measurement error caused by light interference can be reduced, and the luminous consistency, detection accuracy and product quality of lamp production can be improved, while reducing the impact of light interference, realizing automated and intelligent production management.

[0106] In a possible implementation, in step S320, analyzing according to the luminous distribution gradient and the chromaticity group to obtain sorting data further includes:

[0107] S321b, if all the wicks of the luminous distribution gradient are not located in the same chromaticity group, determine the third position information; wherein the third position information is used to reflect the number of wicks with abnormal luminous colors and their corresponding locations.

[0108] It can be understood that if all the wicks of the luminous distribution gradient are not in the same chromaticity group, it means that there are wicks with inconsistent colors. The location of the wicks with inconsistent luminous colors from the majority of wicks can be determined through the wick information.

[0109] S322b, identifying the position of the wick corresponding to the highest order bit in the luminous distribution gradient and the position of the wick corresponding to the wick whose detected light intensity is greater than the detected light intensity of the adjacent wick, and obtaining fourth position information.

[0110] It can be understood that the wick information can be identified and analyzed to determine the position of the wick corresponding to the highest order bit in the luminous distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wicks. The wick position corresponding to the highest order bit and the wick position corresponding to the detected light intensity greater than the detected light intensity of the adjacent wicks can be integrated together to obtain the fourth position information.

[0111] S323b: Analyze according to the third position information, the fourth position information and the chromaticity group to obtain sorting data.

[0112] It can be understood that the third position information and the fourth position information can be used to determine the wick information whose detected light intensity is consistent with the actual light intensity, and then the actual light intensity of other wicks can be calculated, and then the first classification can be performed through the chromaticity group, and then the luminous intensity of each wick in each chromaticity group can be classified for the second time to obtain the sorting data; the third position information and the fourth position information and the chromaticity group can also be input into the learning model, and the learning model then outputs the corresponding sorting data, and so on, but not limited to this.

[0113] With such an arrangement, even if there are inconsistencies in the colors of multiple wicks to be tested, the wicks can be quickly classified and processed to improve the detection accuracy.

[0114] In a possible implementation, in step S323b, the sorting data is obtained by analyzing the third position information, the fourth position information and the chromaticity group, including:

[0115] S3231, determine the second wick normal lighting group based on the third position information and the fourth position information; wherein the first wick normal lighting group includes the wicks corresponding to the third position information and the fourth position information and the wicks adjacent to the wick corresponding to the third position information.

[0116] It can be understood that by analyzing the wick information, the wicks corresponding to the third position information and the fourth position information and the wicks adjacent to the wick corresponding to the third position information can be included in the second wick normal lighting group.

[0117] S3232, calculating the second intensity difference between the wick of the fourth position information and the adjacent wick.

[0118] It can be understood that the second intensity difference can be calculated in a similar manner to the first intensity difference calculated in step S322a, that is, the second intensity difference = the detected light intensity of the wick of the fourth position information - the detected light intensity of the adjacent wick.

[0119] S3233: Obtain a second interference coefficient based on the second intensity difference.

[0120] It can be understood that the second interference coefficient can be obtained in a manner similar to step S323a, that is, the second intensity difference can be matched in the spectroscopic database to obtain the corresponding second interference coefficient; the second intensity difference can also be input into the learning model, and the learning model outputs the corresponding second interference coefficient, and so on, but not limited to this.

[0121] S3234, obtaining a second wick lighting correction group according to the detected light intensity and the second interference coefficient reflected by the second wick lighting normal group; wherein the second wick lighting correction group is used to reflect the positions and actual lighting intensities of other wicks except the wicks reflected by the third position information and the fourth position information.

[0122] It can be understood that the actual light intensity of the wicks adjacent to the second wick normal lighting group = the detected light intensity of the wicks adjacent to the second wick normal lighting group - the detected light intensity of the wicks of the second wick normal lighting group × the second interference coefficient. In this way, the actual light intensity of other wicks can be obtained in turn by calculating the second interference coefficient of each adjacent wick through the detected light intensity reflected by the second wick normal lighting group, and the wick correction group can be obtained.

[0123] S3235, obtaining sorting data based on the chromaticity group, the second wick normal lighting group and the second wick lighting correction group.

[0124] It can be understood that the wicks corresponding to the chromaticity group are first classified, and then the chromaticity groups where the second wick normal lighting group and the second wick correction lighting group are located are respectively classified for a second time, so as to obtain the sorting data.

[0125] With such arrangement, the second wick normal lighting group and the second wick corrected lighting group can be obtained through the third position information and the fourth position information, and can be sorted more reasonably; by accurately calculating and correcting the actual luminous intensity of each wick, the measurement error caused by light interference can be reduced, and the luminous consistency, detection accuracy and product quality of lamp production can be improved, while reducing the impact of light interference, realizing automated and intelligent production management.

[0126] S400, controlling the spectrometer to perform spectroscopic processing on the plurality of wicks based on the sorting data.

[0127] It can be understood that after obtaining the sorting data, each wick is marked according to the corresponding sorting parameters, and then each wick is moved to the corresponding area to complete the light separation.

[0128] With such arrangement, by performing a detailed analysis of the luminous distribution gradient and chromaticity group of the wicks, the consistency of the luminous color and the consistency of the luminous intensity can be ensured, thereby improving the overall luminous quality of the lamp; secondly, by calculating the maximum chromaticity difference and comparing it with the preset chromaticity difference, the wicks can be effectively grouped to ensure that the wicks in each group have similar luminous characteristics; thirdly, by identifying the wick with the largest detected light intensity in the luminous distribution gradient and the wick with a detected light intensity greater than that of the adjacent wicks, the influence of light interference can be reduced, and the detection accuracy and luminous consistency can be improved; in addition, by calculating the first intensity difference and obtaining the corresponding first interference coefficient, the light interference effect between the wicks can be evaluated and compensated, thereby further improving the accuracy of the detection results; then, by controlling the spectroscopic device to perform spectroscopic processing based on the sorting data, it can be ensured that the luminous characteristics of each wick meet the predetermined standards, thereby improving production efficiency and product quality.

[0129] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0130] Corresponding to the lamp production control method described in the above embodiment, the embodiment of the present application also provides a lamp production control system, and each module of the system can implement each step of the lamp production control method. Figure 3 A structural block diagram of a lamp production control system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0131] Reference Figure 3 , the lighting production control system includes:

[0132] The acquisition module is used to acquire the wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device.

[0133] The first analysis module is used to analyze the wick information to obtain the luminous distribution data; wherein the luminous distribution data is used to reflect the luminous distribution of each wick.

[0134] The second analysis module is used to analyze the luminous distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual luminous grouping of the wick.

[0135] The control module is used to control the light splitting device to perform light splitting processing on multiple wicks based on the sorting data.

[0136] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0137] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above modules is used as an example for illustration. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing from each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0138] The embodiment of the present application also provides a lamp production control device, including a light splitting device and a control device, wherein the control device is electrically connected to the light splitting device. Figure 4 This is a schematic diagram of the structure of a control device 6 provided in an embodiment of the present application. Figure 4 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 4 Only one is shown), at least one memory 61 ( Figure 4 Only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, when the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above-mentioned lamp production control method embodiments, or the control device 6 implements the functions of the modules in the above-mentioned device embodiments.

[0139] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0140] The control device 6 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The control device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will appreciate that Figure 4 It is only an example of the control device 6 and does not constitute a limitation on the control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0141] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0142] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0143] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0144] An embodiment of the present application provides a computer program product. When the computer program product is run on a lamp production control device, the lamp production control device is enabled to implement the steps in any of the above method embodiments.

[0145] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the lighting production control equipment, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0146] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0147] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0148] In the embodiments provided in the present application, it should be understood that the disclosed lamp production control equipment and system can be implemented in other ways. For example, the lamp production control system embodiment described above is only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0149] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0150] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A lamp production control method, characterized in that: include: Acquire wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device; Analyze the wick information to obtain luminous distribution data; wherein the luminous distribution data is used to reflect the luminous distribution of each wick; Analyze the light distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual light grouping of the wick; The spectrometer is controlled based on the sorting data to perform spectroscopic processing on the plurality of wicks.

2. The lamp production control method according to claim 1, characterized in that: The step of analyzing the wick information to obtain the light distribution data includes: Analyze the detected light intensity of the wick information to obtain the luminous distribution gradient of the luminous distribution data; wherein the luminous distribution gradient is used to reflect the size ranking of the detected light intensity of the wick and the corresponding wick position; The luminous color of the wick information is analyzed to obtain color difference information of the luminous distribution data; wherein the color difference information is used to reflect the chromaticity difference between every two wicks in the multiple wicks.

3. The lamp production control method according to claim 2, characterized in that: The step of analyzing the luminescence distribution data to obtain sorting data includes: Analyze the color difference information of the luminous distribution data to obtain at least one chromaticity group; wherein the chromaticity group contains any wick whose chromaticity difference value is less than a preset chromaticity difference value; The sorting data is obtained by analyzing the luminous distribution gradient and the chromaticity group.

4. The lamp production control method according to claim 3, characterized in that: The step of analyzing the color difference information of the luminous distribution data to obtain at least one chromaticity group includes: Analyze the color difference information of the luminous distribution data to obtain maximum chromaticity information and minimum chromaticity information; wherein the maximum chromaticity information is used to reflect the wick with the largest chromaticity value among the multiple wicks, and the minimum chromaticity information is used to reflect the wick with the smallest chromaticity value among the multiple wicks; An analysis is performed based on the maximum chroma information and the minimum chroma information to obtain at least one chroma group.

5. The lamp production control method according to claim 4, characterized in that: Analyzing the maximum chroma information and the minimum chroma information to obtain at least one chroma group includes: Calculating a maximum chromaticity difference between the maximum chromaticity information and the minimum chromaticity information; The maximum chromaticity difference value is compared with the preset chromaticity difference value. If the maximum chromaticity difference value is less than or equal to the preset chromaticity difference value, a chromaticity group is obtained; if the maximum chromaticity difference value is greater than the preset chromaticity difference value, multiple chromaticity groups are obtained according to the maximum chromaticity information, the minimum chromaticity information and the preset chromaticity difference value.

6. The lamp production control method according to claim 5, characterized in that: The step of analyzing the luminous distribution gradient and the chromaticity group to obtain sorting data includes: If all the wicks of the luminous distribution gradient are in the same chromaticity group, the position of the wick corresponding to the highest order position in the luminous distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wicks are identified to obtain the first wick luminous normal group; Calculating a first intensity difference between a wick in the first wick normal lighting group and an adjacent wick; wherein the first intensity difference is used to reflect the difference in the detected light intensity of the two wicks; A first interference coefficient is obtained based on the first intensity difference; wherein the first interference coefficient is used to reflect the degree of light interference of the wick with a strong detection light intensity on the wick with a weak detection light intensity; According to the detected light intensity reflected by the first wick normal lighting group and the first interference coefficient, a first wick lighting correction group is obtained; wherein the first wick lighting correction group is used to reflect the location and actual lighting intensity of other wicks except the wick reflected by the first position information; Sorting data is obtained based on the first wick normal lighting group and the first wick corrected lighting group.

7. The lamp production control method according to claim 5, characterized in that: The step of analyzing the luminous distribution gradient and the chromaticity group to obtain sorting data further includes: If all the wicks of the luminous distribution gradient are not located in the same chromaticity group, third position information is determined; wherein the third position information is used to reflect the number of wicks with abnormal luminous colors and their corresponding positions; Identify the position of the wick corresponding to the highest order bit in the light distribution gradient and the position of the wick corresponding to the detected light intensity greater than the detected light intensity of the adjacent wick, and obtain fourth position information; An analysis is performed based on the third position information, the fourth position information and the chromaticity group to obtain sorting data.

8. The lamp production control method according to claim 7, characterized in that: The step of analyzing the third position information, the fourth position information and the chromaticity group to obtain sorting data includes: Determine a second wick normal lighting group based on the third position information and the fourth position information; wherein the second wick normal lighting group includes wicks corresponding to the third position information and the fourth position information and wicks adjacent to the wick corresponding to the third position information; Calculate a second intensity difference between the wick of the fourth position information and an adjacent wick; obtaining a second interference coefficient based on the second intensity difference; According to the detected light intensity reflected by the first wick normal lighting group and the second interference coefficient, a second wick lighting correction group is obtained; wherein the second wick lighting correction group is used to reflect the position and actual lighting intensity of other wicks except the wicks reflected by the third position information and the fourth position information; Sorting data is obtained based on the chromaticity group, the second wick normal lighting group and the second wick corrected lighting group.

9. A lamp production control system, characterized in that: include: An acquisition module, used to acquire wick information; wherein the wick information includes the luminous colors and detected light intensities of multiple wicks detected by the spectroscopic device; A first analysis module is used to analyze the wick information to obtain light distribution data; wherein the light distribution data is used to reflect the light distribution of each wick; A second analysis module is used to analyze the light distribution data to obtain sorting data; the sorting data is used to reflect the information of the actual light emitting grouping of the wick; A control module is used to control the light splitting device to perform light splitting processing on multiple wicks based on the sorting data.

10. A lamp production control equipment, characterized in that: The invention comprises a spectrometer and a control device, wherein the control device is electrically connected to the spectrometer, the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method according to any one of claims 1 to 8 when executing the computer program.

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