Adaptive adjustment method of LED soft light strip based on prior drive

Abstract

The invention relates to the technical field of LED electric lighting, and specifically discloses an LED soft light strip adaptive adjustment method based on a priori drive, the method comprising: color temperature preset value matching, color temperature adjustment value matching and soft light strip adjustment, based on environmental data of the area to which the soft light strip belongs, analyzing the environmental impact value of the area to which the soft light strip belongs, and matching the color temperature preset value corresponding to the soft light strip, performing difference processing with the initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle to obtain the color temperature adjustment value corresponding to the soft light strip, ensuring that the color temperature of the soft light strip can be accurately adjusted to the target value required by the environment, and comparing with the color temperature adjustment value corresponding to the matched soft light strip, so as to complete the adaptive adjustment of the soft light strip, the soft light strip can automatically adjust the color temperature according to environmental changes, thereby enhancing the environmental adaptability of the soft light strip, and making the soft light strip suitable for multiple environmental scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of LED electric lighting, and in particular to an adaptive adjustment method for LED soft light strips based on a priori drive. Background Art

[0002] With the current LED electric lighting technology, the light color control of LED lighting is more complicated than that of traditional lighting technology. It needs to be implemented through complex circuit design and control system, which limits its application in certain scenes that require precise control of light color. In addition, the adjustment method of traditional LED soft light strips depends on remote control or smart devices. In complex environments, the remote control signal may be interfered by other wireless devices, resulting in inaccurate or failed adjustment. For users who are not familiar with smart devices, the adjustment process of soft light strips may be relatively complicated, which reduces the usability of soft light strips. For example, the invention patent with announcement number CN110677944B discloses a method, device, equipment, medium and intelligent LED light strip for adjusting the color of a light strip, including: obtaining the current length of the light strip and the current constant current threshold of different light colors of the current light strip; searching for the corresponding constant current threshold from the corresponding relationship table between the preset light strip length and the constant current threshold; searching for the corresponding values ​​of different light colors from the corresponding relationship table between the preset constant current threshold and different light colors, and converting them into the corresponding duty cycle of pulse width modulation; determining the color proportion of different light colors under the color of the light strip according to the duty cycle of pulse width modulation; determining the duty cycle of pulse width modulation of different light colors according to the color proportion, total color degree and current constant current threshold; adjusting the color of the light strip according to the duty cycle of pulse width modulation of different light colors; the above application embodiment also provides a light strip color adjustment device, equipment, medium and intelligent LED light strip, which can keep the color of light strips of different lengths consistent when the length of the light strip is extended. For example, the invention patent with announcement number CN117156625B, the above application involves the field of artificial intelligence technology, and discloses an LED light strip adjustment control system and method based on electrical data. The system includes a gateway network construction module, a data generation module, a data indexing module, a control parameter generation module, an instruction conversion module and a light strip adjustment module. A light strip gateway network of the LED light strip is constructed to generate electrical data of the LED light strip, and the electrical data is sampled by second-order derivative interpolation to obtain sampled data, the sampled data is indexed to obtain data indicators, and control parameters of the LED light strip are generated according to the data indicators and a preset light strip control algorithm, and the control parameters are converted into control instructions, and the control instructions are parsed by the light control nodes in the light strip gateway network to obtain parsed instructions, and the LED light strip is adjusted according to the parsed instructions, thereby improving the adjustment and control efficiency of the LED light strip. Combining the above technical solutions, it is found that with the development of LED lighting technology, more accurate, efficient and reliable LED electric lighting technical solutions need to be organized. However, most LED electric lighting technical solutions only adjust the light strips for some application scenarios when adjusting the light strips, and cannot improve the adjustment ability of the light strips, thereby reducing the adaptive adjustment function of the light strips. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an adaptive adjustment method for an LED soft light strip based on a priori drive, which can effectively solve the problems involved in the above-mentioned background technology.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an adaptive adjustment method for LED soft light strips based on a priori drive, including: color temperature preset value matching: obtaining environmental data of the area to which the soft light strip belongs, analyzing the environmental impact value of the area to which the soft light strip belongs, and matching the color temperature preset value corresponding to the soft light strip; color temperature adjustment value matching: collecting the working performance parameters of the soft light strip within the color temperature adjustment cycle, determining the performance suitability index of the soft light strip, and matching the color temperature adjustment value corresponding to the soft light strip; soft light strip adjustment: real-time acquisition of the initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle, and performing difference processing with the color temperature preset value corresponding to the soft light strip, obtaining the color temperature adjustment value corresponding to the soft light strip, and comparing it with the color temperature adjustment value corresponding to the soft light strip, thereby completing the adaptive adjustment of the soft light strip.

[0005] As a further method, the adaptive adjustment of the soft light strip is specifically analyzed as follows:

[0006] The initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle is differenced with the color temperature preset value corresponding to the soft light strip to obtain the color temperature adjustment value corresponding to the soft light strip, and compared with the color temperature adjustment value corresponding to the soft light strip. If the color temperature adjustment value corresponding to the soft light strip is equal to the color temperature adjustment value corresponding to the soft light strip, the adaptive adjustment of the soft light strip is completed; if the color temperature adjustment value corresponding to the soft light strip is not equal to the color temperature adjustment value corresponding to the soft light strip, an early warning prompt is given to the color temperature adjustment status of the soft light strip, thereby completing the adaptive adjustment of the soft light strip.

[0007] As a further method, the matching obtains the color temperature adjustment value corresponding to the soft light strip. The specific matching process is: matching the performance suitability index of the soft light strip with the color temperature adjustment value corresponding to each performance suitability index interval defined in the adjustment control information library to obtain the color temperature adjustment value corresponding to the soft light strip.

[0008] As a further method, the performance suitability index of the soft light strip is specifically expressed as:

[0009]

[0010] Where β is the performance suitability index of the soft light strip, DL is the maximum current value of the soft light strip in the color temperature adjustment cycle, DL' is the current limit value, XL is the luminous efficiency of the soft light strip in the color temperature adjustment cycle, SC is the adjustment instruction response time of the soft light strip in the color temperature adjustment cycle, SC' is the response time limit value, To adjust the correction factor corresponding to the performance suitability index predefined in the control information library, It is the influence factor corresponding to the luminous efficiency unit value predefined in the adjustment control information library.

[0011] As a further method, the working performance parameters of the soft light strip within the color temperature adjustment cycle specifically include the current value of the soft light strip at each color temperature adjustment time point, the power value of the soft light strip at each color temperature adjustment time point, and the luminous flux of the soft light strip at each color temperature adjustment time point.

[0012] As a further method, the matching obtains the color temperature preset value corresponding to the soft light strip. The specific matching process is: matching the environmental impact value of the area to which the soft light strip belongs with the color temperature preset values ​​corresponding to each environmental impact value interval defined in the adjustment control information library to obtain the color temperature preset value corresponding to the soft light strip.

[0013] As a further method, the environmental impact value of the area to which the soft light strip belongs is specifically expressed as:

[0014]

[0015] Where α is the environmental impact value of the area to which the soft light strip belongs, WD is the maximum ambient temperature of the regional environment during the acquisition period, SD is the maximum ambient humidity of the regional environment during the acquisition period, JD is the maximum angle value of the light intensity change of the regional environment, To adjust the impact factor corresponding to the predefined ambient temperature unit value in the control information library, To adjust the impact factor corresponding to the predefined unit value of the ambient humidity in the control information library, It is the influence factor corresponding to the unit value of the maximum angle value of the light intensity change predefined in the adjustment control information library, and e is a natural constant.

[0016] As a further method, the environmental data of the area to which the soft light strip belongs specifically includes the ambient temperature of the regional environment at each acquisition time point, the ambient humidity of the regional environment at each acquisition time point, and the light intensity of the regional environment at each acquisition time point.

[0017] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0018] (1) The present invention provides an adaptive adjustment method for an LED soft light strip based on a priori drive. Based on the environmental data of the area to which the soft light strip belongs, the environmental impact value of the area to which the soft light strip belongs is analyzed, and the color temperature preset value corresponding to the soft light strip can be matched. The color temperature adjustment value corresponding to the soft light strip is obtained by performing difference processing with the initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle, thereby ensuring that the color temperature of the soft light strip can be accurately adjusted to the target value required by the environment. This precise adjustment avoids errors and uncertainties in the color temperature adjustment process, improves the accuracy of the lighting effect of the soft light strip, and compares the color temperature adjustment value corresponding to the matched soft light strip to complete the adaptive adjustment of the soft light strip. The soft light strip can automatically adjust the color temperature according to environmental changes, thereby enhancing the environmental adaptability of the soft light strip and enabling the soft light strip to be suitable for multiple environmental scenes.

[0019] (2) This aspect obtains the environmental data of the area to which the soft light strip belongs and analyzes the environmental impact value of the area to which the soft light strip belongs, so as to more accurately match the color temperature preset value corresponding to the soft light strip, thereby ensuring that the light of the soft light strip can provide the most suitable lighting effect in different environments or scenes, thereby improving the color temperature adjustment accuracy of the soft light strip.

[0020] (3) This aspect collects the working performance parameters of the soft light strip within the color temperature adjustment cycle and determines the performance suitability index of the soft light strip, so as to ensure that the soft light strip can be adjusted adaptively and match the corresponding color temperature adjustment value of the soft light strip. The color temperature of the light is adjusted according to the lighting requirements of the environment, thereby achieving an adaptive lighting experience, and can effectively save energy and improve energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0022] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0023] Figure 2 It is the light intensity variation line involved in the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] Reference Figure 1 As shown, the present invention provides an adaptive adjustment method for LED soft light strips based on a priori drive, including: color temperature preset value matching: obtaining environmental data of the area to which the soft light strip belongs, analyzing the environmental impact value of the area to which the soft light strip belongs, and matching to obtain the color temperature preset value corresponding to the soft light strip.

[0026] It needs to be explained that different usage environments may have different requirements for lighting. By adjusting the color temperature of the soft light strip, the adaptive lighting needs of different environments can be met. When the environment requires higher brightness, the light of the soft light strip can be adjusted to a higher color temperature to improve the lighting effect; when lower brightness is required, the light of the soft light strip is adjusted to a lower color temperature to reduce energy consumption. Therefore, through the rational use of color temperature adjustable technology, the color temperature and brightness of the light of the soft light strip can be adjusted according to the actual environmental needs, thereby improving energy utilization and reducing energy consumption.

[0027] The adjustment of color temperature can be applied to the following scenarios, including but not limited to: in a home environment, a lower color temperature value is usually selected for the bedroom, approximately between 2700 Kelvin and 3500 Kelvin, and a slightly higher color temperature value can be selected for the living room, approximately between 3500 Kelvin and 4000 Kelvin; in a commercial environment, such as a clothing store or jewelry store, the color temperature is about 5500 Kelvin to 6500 Kelvin. Such light can simulate the effect of natural light and make the goods look brighter; in an office environment, the usual color temperature value is 4000 Kelvin to 5000 Kelvin.

[0028] Specifically, the environmental data of the area to which the soft light strip belongs includes the ambient temperature of the regional environment at each acquisition time point, the ambient humidity of the regional environment at each acquisition time point, and the light intensity of the regional environment at each acquisition time point.

[0029] The above-mentioned acquisition time points are obtained by dividing the acquisition cycle into various acquisition time points. The acquisition cycle is determined by the soft light strip adjustment personnel through comprehensive analysis based on factors such as the environment of the area, the usage status of the soft light strip, and their own recruitment needs.

[0030] The temperature can be obtained by a temperature sensor, the humidity can be obtained by a hygrometer, and the light intensity can be obtained by an illuminance meter.

[0031] Furthermore, the environmental impact value of the area to which the soft light strip belongs is specifically analyzed as follows:

[0032] The ambient temperature of the regional environment at each acquisition time point and the ambient humidity of the regional environment at each acquisition time point are arranged in order from large to small, and the temperature and humidity ranked first are recorded as the maximum ambient temperature and the maximum ambient humidity of the regional environment during the acquisition period.

[0033] According to the light intensity of the regional environment at each acquisition time point, a light intensity change polyline of the regional environment is constructed, from which the maximum angle value of the light intensity change of the regional environment is extracted.

[0034] According to the light intensity of the regional environment at each acquisition time point, a light intensity change line of the regional environment is constructed, such as Figure 2 As shown, the horizontal axis of the light intensity change line is the acquisition time point, the unit is second, and the vertical axis is the light intensity, the unit is lux.

[0035] According to the light intensity change line, a straight line 1 with the maximum light intensity change between the minimum light intensity and the maximum light intensity is located, and according to Figure 2 The first horizontal straight line 2 in the image is obtained, and the minimum angle value of the intersection between the maximum illumination intensity change straight line 1 and the first horizontal straight line 2 is obtained, which is recorded as the maximum angle value of the illumination intensity change of the regional environment.

[0036] Specifically, the environmental impact value of the area to which the soft light strip belongs, in this embodiment, is the maximum ambient temperature of the regional environment during the acquisition period, the maximum ambient humidity of the regional environment during the acquisition period, and the maximum angle value of the light intensity change of the regional environment. The specific expression is:

[0037]

[0038] Wherein α is the environmental impact value of the area to which the soft light strip belongs. In this embodiment, it refers to the influence of multiple environmental parameters on the color temperature adjustment effect of the soft light strip. These environmental parameters include temperature, humidity, and light intensity. When the environment of the area to which the soft light strip belongs is under strong light, the temperature of the environment of the area to which it belongs will rise accordingly. When the temperature is high, the evaporation rate of moisture in the air is accelerated, resulting in a decrease in humidity. When the light intensity, temperature and humidity act together, they will have a superimposed effect on the environment of the area to which the soft light strip belongs, thereby enhancing the impact on the environment and increasing the environmental impact value.

[0039] WD is the maximum ambient temperature of the regional environment during the acquisition period, which refers to the highest temperature value recorded in the regional environment during the acquisition period.

[0040] SD is the maximum ambient humidity of the regional environment during the acquisition period, which refers to the highest humidity value recorded in the regional environment during the acquisition period.

[0041] JD is the maximum angle value of the illumination intensity change in the regional environment, which refers to the minimum angle value of the intersection between the maximum illumination intensity change straight line and the first horizontal straight line.

[0042] It is the influence factor corresponding to the ambient temperature unit value predefined in the adjustment control information library.

[0043] In a specific embodiment, a fitting curve is obtained by fitting the historical ambient temperature, historical ambient humidity, historical light intensity and corresponding environmental impact values ​​of the area, and the real-time ambient temperature, ambient humidity and light intensity are brought into the fitting curve to obtain the impact factor corresponding to the unit value of the ambient temperature in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0044] , It is the influence factor corresponding to the predefined unit value of the ambient humidity in the adjustment control information library.

[0045] In a specific embodiment, a fitting curve is obtained by fitting the historical ambient temperature, historical ambient humidity, historical light intensity and corresponding environmental impact values ​​of the area, and the real-time ambient temperature, ambient humidity and light intensity are brought into the fitting curve to obtain the impact factor corresponding to the unit value of the ambient humidity in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0046] It is the influence factor corresponding to the unit value of the maximum angle value of the light intensity change predefined in the adjustment control information library, and e is a natural constant.

[0047] In a specific embodiment, a fitting curve is obtained by fitting the historical ambient temperature, historical ambient humidity, historical light intensity and corresponding environmental impact values ​​of the region, and the real-time ambient temperature, ambient humidity and light intensity are brought into the fitting curve to obtain

[0048] The influence factor corresponding to the unit value of the light intensity in this embodiment, and the value range in this embodiment is (0, 1).

[0049] In this embodiment, the value of the impact factor corresponding to the unit value of the ambient temperature is set to 0.35, the value of the impact factor corresponding to the unit value of the ambient humidity is set to 0.43, and the value of the impact factor corresponding to the unit value of the maximum angle value of the light intensity change is set to 0.4. In this embodiment, the environmental impact value of the area to which the above-mentioned soft light strip belongs is shown in Table 1: Table 1 Numerical change table between environmental impact value and its parameters

[0050] Table 1 Numerical changes between environmental impact values ​​and their parameters

[0051] serial number Ambient temperature / degrees Celsius Ambient humidity / percentage Maximum angle of light intensity change / degree Environmental impact value 1 23 67 55 5.1 2 18 50 40 4.6 3 20 40 60 5.1

[0052] It should be explained that the data in the above table are data of different dimensions and have different units and magnitudes. Therefore, a normalized data processing method is used for the data in the above table to eliminate the dimensional differences and weight imbalance problems between different features and improve the convergence speed and accuracy of the above expression.

[0053] In this embodiment, according to the table of environmental impact values ​​of the area to which the above-mentioned soft light strip belongs, it can be learned that when the temperature, humidity and light intensity change angles in the area are large, the impact on the environment of the area is also large, thereby increasing the environmental impact value. Therefore, it is necessary to collect and analyze the environmental factors in the area in real time to obtain specific environmental data, so as to facilitate the adjustment of the soft light strip according to the environmental data.

[0054] Furthermore, the matching obtains the color temperature preset value corresponding to the soft light strip, and the specific matching process is:

[0055] The environmental impact value of the area to which the soft light strip belongs is matched with the color temperature preset values ​​corresponding to each environmental impact value interval defined in the adjustment control information library. The specific matching process is: obtain a mapping set of the environmental impact value of the area to which the soft light strip belongs and the color temperature preset value from the adjustment control information library, first determine the interval to which the environmental impact value of the area to which the soft light strip belongs, assign the color temperature preset value corresponding to the interval to the soft light strip corresponding to the environmental impact value, and obtain the color temperature preset value corresponding to the soft light strip.

[0056] It should be explained that the above-mentioned color temperature preset value refers to the color temperature value that the soft light strip can adjust autonomously according to the environmental changes in the area to which it belongs when adjusting the color temperature of the soft light strip. For example, when the ambient temperature is 26 degrees Celsius, the ambient humidity is 58%, and the light intensity is 450 lux, the color temperature of the soft light strip should be adjusted to 3000 Kelvin, which is the color temperature preset value corresponding to the soft light strip.

[0057] Color temperature adjustment value matching: Collect the working performance parameters of the soft light strip within the color temperature adjustment cycle, determine the performance suitability index of the soft light strip, and match the corresponding color temperature adjustment value of the soft light strip.

[0058] Specifically, the working performance parameters of the soft light strip within the color temperature adjustment cycle include the current value of the soft light strip at each color temperature adjustment time point, the power value of the soft light strip at each color temperature adjustment time point, and the luminous flux of the soft light strip at each color temperature adjustment time point, wherein the luminous flux is a physical quantity that describes the total amount of light emitted by a light source. It represents the energy radiated by the light source to the surrounding space per unit time to make the human eye feel light, and its unit is lumen.

[0059] The above-mentioned color temperature adjustment time points are obtained by dividing the color temperature adjustment cycle into various color temperature adjustment time points. The determination of the color temperature adjustment cycle is obtained by a comprehensive analysis of factors such as actual needs, environmental changes, and the adjustment status of the soft light strip by the soft light strip adjustment personnel.

[0060] The above current value can be obtained by a current sensor, the power value can be obtained by a power meter, and the luminous flux can be obtained by a photometer.

[0061] Furthermore, the performance suitability index of the soft light strip is specifically analyzed as follows:

[0062] According to the current values ​​of the soft light strip at each color temperature adjustment time point, they are arranged in order from large to small, and the current value ranked first is recorded as the maximum current value of the soft light strip in the color temperature adjustment cycle.

[0063] The power value of the soft light strip at each color temperature adjustment time point and the luminous flux of the soft light strip at each color temperature adjustment time point are processed to obtain the luminous efficiency of the soft light strip within the color temperature adjustment cycle.

[0064] The specific process of the above data processing is: first, the power value of the soft light strip at each color temperature adjustment time point and the luminous flux of the soft light strip at each color temperature adjustment time point are averaged to obtain the power average of the soft light strip within the color temperature adjustment cycle and the luminous flux average of the soft light strip within the color temperature adjustment cycle, and then ratio processing is performed to obtain the luminous efficiency of the soft light strip within the color temperature adjustment cycle.

[0065] The time point at which the soft light strip receives the adjustment instruction and the time point at which the adjustment instruction is executed are obtained, wherein the time point can be obtained by a timer, and the adjustment instruction response time of the soft light strip within the color temperature adjustment cycle is obtained by difference processing.

[0066] The current limit value and the adjustment command response time limit value are extracted from the adjustment control information library, and the performance suitability index of the soft light strip is comprehensively analyzed.

[0067] The data stored in the above-mentioned regulation and control information library is obtained by fitting based on the statistics of historical performance data of multiple soft light strips. For example, the current limit value is obtained by obtaining the current data of the soft light strip during operation through multiple historical performance data of the soft light strip. The current value that meets the best operating state of the soft light strip is determined by the regulator and averaged as the current limit value. In this way, the data in the regulation and control information library is obtained, and these data will change due to different factors such as the performance of the soft light strip, actual needs and the judgment status of the regulator. This embodiment does not make any special limitation on this.

[0068] Specifically, the performance suitability index of the soft light strip, in this embodiment, is obtained by comprehensive analysis of the maximum current value of the soft light strip in the color temperature adjustment cycle, the luminous efficiency of the soft light strip in the color temperature adjustment cycle, and the adjustment instruction response time of the soft light strip in the color temperature adjustment cycle, so as to determine the performance suitability index of the soft light strip. In this embodiment, a more accurate calculation method is used to obtain it, and the specific expression is:

[0069]

[0070] Wherein β is the performance suitability index of the soft light strip. The performance suitability index of the soft light strip in this embodiment is used to evaluate the performance and applicability of the soft light strip in practical applications. Within the driving current range of the soft light strip chip, appropriately increasing the current value to approach the current limit value can improve the luminous intensity of the soft light strip, thereby improving the luminous efficiency of the soft light strip to a certain extent, and improving the performance of the soft light strip. When the soft light strip responds quickly during adjustment and the response time is close to the response time limit value, it means that the performance of the soft light strip is in the best state during the adjustment process, and the performance suitability index increases accordingly.

[0071] DL is the maximum current value of the soft light strip within the color temperature adjustment cycle, which refers to the maximum current value allowed to pass within the range in which the soft light strip can work normally and adjust the color temperature.

[0072] DL' is the current limit value, which refers to the maximum value of the current during the reasonable operation period.

[0073] XL is the luminous efficiency of the soft light strip within the color temperature adjustment cycle, which refers to the efficiency of the soft light strip chip in converting the input electrical energy into light energy during operation. It is the ratio of the total luminous flux emitted by the soft light strip to the electrical input power, also known as lumen efficiency, and the unit is lumen per watt.

[0074] SC is the adjustment instruction response time of the soft light strip within the color temperature adjustment cycle, which refers to the time required for the soft light strip to receive the adjustment instruction and execute the adjustment instruction.

[0075] SC' is the response time limit value, which refers to the minimum value of the response time within a reasonable operation period.

[0076] It is the correction factor corresponding to the performance suitability index predefined in the adjustment control information library.

[0077] In a specific embodiment, a fitting curve is obtained by fitting the historical voltage value, historical power value, historical luminous efficiency and corresponding performance suitability index of the soft light strip, and the real-time voltage value, power value and luminous efficiency are brought into the fitting curve to obtain the correction factor corresponding to the performance suitability index in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0078] It is the influence factor corresponding to the luminous efficiency unit value predefined in the adjustment control information library.

[0079] In a specific embodiment, a fitting curve is obtained by fitting the historical voltage value, historical power value, historical luminous efficiency and the corresponding performance suitability index of the soft light strip, and the real-time voltage value, power value and luminous efficiency are brought into the fitting curve to obtain the influence factor corresponding to the unit value of the luminous efficiency in this embodiment. At the same time, the value range in this embodiment is (0, 1).

[0080] In this embodiment, the current limit value is set to 3 amperes, the response time limit value is set to 0.2 seconds, the correction factor corresponding to the performance suitability index is set to 0.31, and the influence factor corresponding to the unit value of the luminous efficiency is set to 0.35.

[0081] In this embodiment, the performance suitability index of the above-mentioned soft light strip is as shown in Table 2:

[0082] Table 2 Numerical changes between performance suitability index and its parameters

[0083] serial number Maximum current value / ampere Luminous efficiency / lumens per watt Adjust command response time / second Performance suitability index / percentage 1 1.7 3 0.5 62.5 2 2.8 3.3 0.2 95.7 3 2 4.2 0.3 86.9

[0084] It should be explained that the data in the above table are data of different dimensions and have different units and magnitudes. Therefore, a normalized data processing method is used for the data in the above table to eliminate the dimensional differences and weight imbalance problems between different features and improve the convergence speed and accuracy of the above expression.

[0085] In the present embodiment, according to the table of the performance suitability index of the above-mentioned soft light strip, when the maximum current value of the soft light strip is closer to the current limit value and the adjustment instruction response time is closer to the response time limit value, the performance suitability index corresponding to the soft light strip is higher. At the same time, when the luminous efficiency of the soft light strip increases, the performance suitability index corresponding to the soft light strip increases accordingly. Therefore, it is necessary to take response measures to optimize the current value, response time and luminous efficiency of the soft light strip, so that they increase and approach the limit value under suitable operating conditions to improve the performance suitability index of the soft light strip.

[0086] Furthermore, the matching obtains the color temperature adjustment value corresponding to the soft light strip, and the specific matching process is:

[0087] The performance suitability index of the soft light strip is matched with the color temperature adjustment value corresponding to each performance suitability index interval defined in the adjustment control information library. The specific matching process is: first, a mapping set of the performance suitability index of the soft light strip and the color temperature adjustment value is obtained from the adjustment control information library, and the interval to which the performance suitability index of the soft light strip belongs is determined. The color temperature adjustment value corresponding to the interval is assigned to the soft light strip corresponding to the performance suitability index, so as to obtain the color temperature adjustment value corresponding to the soft light strip.

[0088] It should be explained that the above-mentioned color temperature adjustment value refers to the color temperature value that the soft light strip can adjust autonomously according to its own performance when adjusting the color temperature of the soft light strip. For example, when the ambient temperature is 28 degrees Celsius, the ambient humidity is 60%, and the light intensity is 500 lux, the color temperature of the soft light strip should be adjusted to 3200 Kelvin, which is the color temperature adjustment value corresponding to the soft light strip.

[0089] Soft light strip adjustment: The initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle is obtained in real time, and the difference is processed with the color temperature preset value corresponding to the soft light strip to obtain the color temperature adjustment value corresponding to the soft light strip, and then compared with the color temperature adjustment value corresponding to the soft light strip to complete the adaptive adjustment of the soft light strip.

[0090] The above initial color temperature value can be obtained by a spectrum analyzer.

[0091] Specifically, the adaptive adjustment of the soft light strip is analyzed as follows:

[0092] The initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle is subtracted from the preset color temperature value corresponding to the soft light strip to obtain the color temperature adjustment value corresponding to the soft light strip, and compared with the color temperature adjustment value corresponding to the soft light strip. If the color temperature adjustment value corresponding to the soft light strip is equal to the color temperature adjustment value corresponding to the soft light strip, it means that the soft light strip adjustment system has successfully adjusted the color temperature of the soft light strip to the desired state, and the adaptive adjustment of the soft light strip is completed.

[0093] The above-mentioned soft light strip adjustment system is a system for controlling and adjusting the color temperature parameters of the soft light strip.

[0094] If the color temperature adjustment value corresponding to the soft light strip is not equal to the color temperature adjustment value corresponding to the soft light strip, an early warning prompt is given for the color temperature adjustment status of the soft light strip, thereby completing the adaptive adjustment of the soft light strip.

[0095] The above-mentioned early warning prompting methods include but are not limited to the early warning subsystem built into the soft light strip adjustment system giving early warning prompts to the soft light strip adjustment system.

[0096] The above-mentioned early warning subsystem is a subsystem in the soft light strip adjustment system for providing early warning prompts for the adjustment status of the soft light strip.

[0097] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. Adaptive adjustment method of LED soft light strip based on prior drive, It is characterized in that include: Color temperature preset value matching: obtain the environmental data of the area where the soft light strip belongs, analyze the environmental impact value of the area where the soft light strip belongs, and match the color temperature preset value corresponding to the soft light strip; Color temperature adjustment value matching: Collect the working performance parameters of the soft light strip within the color temperature adjustment cycle, determine the performance suitability index of the soft light strip, and match the corresponding color temperature adjustment value of the soft light strip; Soft light strip adjustment: Get the initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle in real time, and perform difference processing with the color temperature preset value corresponding to the soft light strip to obtain the color temperature adjustment value corresponding to the soft light strip, and compare it with the color temperature adjustment value corresponding to the soft light strip to complete the adaptive adjustment of the soft light strip; The performance suitability index of the soft light strip is specifically expressed as: Where β is the performance suitability index of the soft light strip, DL is the maximum current value of the soft light strip in the color temperature adjustment cycle, DL' is the current limit value, XL is the luminous efficiency of the soft light strip in the color temperature adjustment cycle, SC is the adjustment instruction response time of the soft light strip in the color temperature adjustment cycle, SC' is the response time limit value, To adjust the correction factor corresponding to the performance suitability index predefined in the control information library, It is the influence factor corresponding to the luminous efficiency unit value predefined in the adjustment control information library.

2. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 1, Features: The specific analysis process of the adaptive adjustment of the soft light strip is as follows: The initial color temperature value of the soft light strip at the start time of the color temperature adjustment cycle is processed with the preset color temperature value corresponding to the soft light strip to obtain the color temperature adjustment value corresponding to the soft light strip, and the color temperature adjustment value corresponding to the soft light strip is compared. If the color temperature adjustment value corresponding to the soft light strip is equal to the color temperature adjustment value corresponding to the soft light strip, the adaptive adjustment of the soft light strip is completed; If the color temperature adjustment value corresponding to the soft light strip is not equal to the color temperature adjustment value corresponding to the soft light strip, an early warning prompt is given for the color temperature adjustment status of the soft light strip, thereby completing the adaptive adjustment of the soft light strip.

3. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 1, Features: The matching obtains the color temperature adjustment value corresponding to the soft light strip, and the specific matching process is: The performance suitability index of the soft light strip is matched with the color temperature adjustment value corresponding to each performance suitability index interval defined in the adjustment control information library to obtain the color temperature adjustment value corresponding to the soft light strip.

4. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 1, Features: The working performance parameters of the soft light strip within the color temperature adjustment cycle specifically include the current value of the soft light strip at each color temperature adjustment time point, the power value of the soft light strip at each color temperature adjustment time point, and the luminous flux of the soft light strip at each color temperature adjustment time point.

5. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 4, Features: The performance suitability index of the soft light strip is analyzed in the following specific process: According to the current values ​​of the soft light strip at each color temperature adjustment time point, the current values ​​are arranged in order from large to small, and the current value ranked first is recorded as the maximum current value of the soft light strip in the color temperature adjustment cycle; The power value of the soft light strip at each color temperature adjustment time point and the luminous flux of the soft light strip at each color temperature adjustment time point are processed to obtain the luminous efficiency of the soft light strip within the color temperature adjustment cycle; Obtain the time point when the soft light strip receives the adjustment instruction and the time point when the adjustment instruction is executed, and obtain the adjustment instruction response time of the soft light strip within the color temperature adjustment cycle through difference processing; The current limit value and the adjustment command response time limit value are extracted from the adjustment control information library, and the performance suitability index of the soft light strip is comprehensively analyzed.

6. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 1, Features: The matching obtains the color temperature preset value corresponding to the soft light strip, and the specific matching process is as follows: The environmental impact value of the area to which the soft light strip belongs is matched with the color temperature preset values ​​corresponding to each environmental impact value interval defined in the adjustment control information library to obtain the color temperature preset value corresponding to the soft light strip.

7. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 6, Features: The environmental impact value of the area to which the soft light strip belongs is specifically expressed as: Where α is the environmental impact value of the area to which the soft light strip belongs, WD is the maximum ambient temperature of the regional environment during the acquisition period, SD is the maximum ambient humidity of the regional environment during the acquisition period, JD is the maximum angle value of the light intensity change of the regional environment, To adjust the impact factor corresponding to the predefined ambient temperature unit value in the control information library, To adjust the impact factor corresponding to the predefined unit value of the ambient humidity in the control information library, It is the influence factor corresponding to the unit value of the maximum angle value of the light intensity change predefined in the adjustment control information library, and e is a natural constant.

8. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 1, Features: The environmental data of the area to which the soft light strip belongs specifically includes the ambient temperature of the regional environment at each acquisition time point, the ambient humidity of the regional environment at each acquisition time point, and the light intensity of the regional environment at each acquisition time point.

9. According to the LED soft light strip adaptive adjustment method based on a priori drive according to claim 7, Features: The environmental impact value of the area to which the soft light strip belongs is analyzed in detail as follows: Arrange the ambient temperature of the regional environment at each acquisition time point and the ambient humidity of the regional environment at each acquisition time point in order from large to small, and record the temperature and humidity ranked first as the maximum ambient temperature and the maximum ambient humidity of the regional environment during the acquisition period; According to the light intensity of the regional environment at each acquisition time point, a light intensity change polyline of the regional environment is constructed, from which the maximum angle value of the light intensity change of the regional environment is extracted.

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